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In this work, we seek to investigate the dynamics of bright soliton in a chain of coupled pendulum pairs. After deriving the linear dispersion relation from the equation of the model, we find that among the obtained modes, the fast mode is the one on which we are going to be focused. Since the discrete simultaneous equation describing the dynamics of the model has not been extensively studied in the literature, we assume that the two lines of the model are proportional to each other. We use the rotating wave approximation method to derive a NLS equation governing the propagation of waves in the network. Depending on the choice of wave number, we deduce that the system supports bright and hole-soliton solutions. We use the obtained bright soliton as the initial condition for numerical computation, which demonstrates the significant role of the transverse coupling parameter in the system. That is, it affects the behavior of the forward-bright soliton generated in the system. The lattice allows gain and loss phenomena during the propagation of the waves. [ABSTRACT FROM AUTHOR]

This paper aims to demonstrate a numerical strategy via finite difference formulations for time fractional reaction–diffusion models which are ubiquitous in chemical and biological phenomena. The time-fractional derivative is considered in the Caputo sense for both linear and nonlinear problems. First, the Caputo derivative is replaced with a quadrature formula, then an implicit method is used for the remaining part. In the linear case, the proposed strategy reduces the time fractional models into linear simultaneous equations. In nonlinear cases, Quasilinearization is utilized to tackle the nonlinear parts. With this strategy, solutions of the fractional system transform into linear algebraic systems which are easy to solve. Next, the Von Neumann method is implemented to examine the stability of the scheme which discloses that the scheme is unconditionally stable. Further, the applicability of the presented scheme is tested with different linear and nonlinear models which include the one dimensional Schnakenberg and Gray–Scott models, and one and two dimensional Brusselator models. To analyze the accuracy of the present technique two norms namely, L ∞ and L 2 , and relative error are addressed. Moreover, the obtained outcomes are shown tabulated and graphically which identifies that the scheme properly works for the time fractional reaction–diffusion systems. [ABSTRACT FROM AUTHOR]

Contrary to the existing literature that suggests the inhibitory or facilitating effect of housing prices on entrepreneurial dynamism, this paper explores the nonlinear effect of housing prices on entrepreneurship and countervailing effect of entrepreneurial dynamism on housing prices, in addition to investigating the spatial interaction between the two. This paper constructs a simultaneous equation model (SEM) to empirically test the interaction and spillover effects between housing prices and entrepreneurial dynamism. The results show that: (1) there is a two‐way interaction between housing prices and entrepreneurial dynamism; (2) the estimated coefficients of housing prices and the quadratic square term of housing prices (14.285 and −0.744, respectively) are consistent and significant as expected, indicating an inverted U‐shaped effect of housing prices on entrepreneurial dynamism; and (3) in geospatial terms, there are positive spatial spillovers and negative spatial interaction effects for both house prices and entrepreneurial dynamism in Yangtze River Delta cities. [ABSTRACT FROM AUTHOR]

We propose a Competitive Leverage model, and apply it to analyze the impact of tariffs on the attitudes of domestic import-competing firms, especially regarding their disincentives to maintain a Competitive Stance against foreign competitors in the domestic market. We propose that tariffs are a disincentive to the pursuit and maintenance of production efficiency in firms and industries. When countries implement tariff protection for their domestic firms, the most common excuse sounds reasonable, except that it is also economically flawed. While the short-run impacts of such a measure might seem plausible, its long-term effects appear to be less than favorable, and may, in fact, turn out to be damaging to the economy. The paper applies the competitive leverage concept in a unique way to highlight how tariffs distort the output levels of domestic firms, and gives an empirical analysis of the model, using USA data to verify the predictions of the model. Particularly, we develop a Cournot-competition type Competitive Leverage model, and use it to examine the role played by tariffs as a disincentive to a typical firm's pursuit and maintenance of production efficiency. The competitive leverage model is formulated and applied to verify the effects of tariff protection from the typical domestic firm's strategic interaction standpoint. We further apply crosssectional data to carry out an empirical analysis of the model, to verify how tariffs impact the domestic firm's output and pricing decisions. Our findings would enable us to contribute to the debate about the need to remove protective tariffs, on the grounds that tariffs do not only enable domestic firms to operate inefficiently, but also tends to distort the output and pricing outcomes that would otherwise have been realized in the free market. The results from the study are used to propose some major policy implications of imposing tariff protection, among which are that there is need for implementation of more deliberately sustained Research and development program on the part of domestic firms in the economy, to enable them withstand vigorous competition in a free-trade world. Also, since protective tariffs significantly increase firms' profit rates, which in turn enables them to unduly earn and accumulate economic rents that amount to inefficiencies and distortions in free-market prices and quantities outcomes, governments should always resist any pressures from big businesses to impose protective tariffs against competition from international rivals. Yet a clear public policy implication from this paper is that, at the macro level, as the results suggest that a government policy that aims at protecting domestic firms through imposition of tariffs may have an adverse effect on the firms' competitive stance in the industry, a practical message is for the government to impose only a moderate tariff at the most, if it must, especially as it relates to agricultural products. [ABSTRACT FROM AUTHOR]

The shipping industry is a capital-intensive industry in which ship investment and demolition are directly related to the company's profitability, transportation capacity, and fleet structure. Thus, companies need to consider investment and demolition activities carefully before making decisions about fleet deployment. This study focuses on decisions related to investment in new and second-hand vessels as well as vessel demolition in different sub-markets of the container shipping market at the same time. By considering market factors, operating conditions, and shipping alliances, we developed a systematic model for the container market. This model innovatively employs a simultaneous equations model (SEM) to analyze fleet deployment decisions and uses the three-stage least squares method to avoid endogenous effects. The results indicate that shipping alliances, fleet deployment, and bunker price all have significant effects on the investment and demolition decisions of shipping companies. We further discuss the strategic decisions of shipping companies related to joining shipping alliances and highlight the considerations of larger companies when expanding (primarily squeezing out competition and responding to the market). The results provide valuable information for shipping companies to determine the best ship deployment strategies and avoid overcapacity. [ABSTRACT FROM AUTHOR]

The South Asian region has faced multiple challenges in the last few decades. This region is susceptible to climate change due to the presence of both drought-prone and coastal areas. It also faces the problem of increasing food-insecurity due to the recent events of crop failure consequent to natural calamities. This study examines the nexus between agricultural production and food security amidst climate change for the South Asian nations from 2000 to 2019. From the empirical investigation, using Driscoll-Kraay and Panel-Corrected Standard Error estimators, we get robust results in the presence of cross-sectional dependence and heteroskedasticity. The simultaneous equation model using 3SLS is also used for the robustness check, considering the probable endogeneity issue in the model. The findings of the study reveal that agricultural production, fertilizer consumption, and land under cereal production play a substantial and positive role in determining food security in the South Asian nations. Furthermore, the varying rainfall patterns coupled with rising temperature, as well as the increasing level of CO2 emissions are found to impede food security in these nations. Additionally, non-climatic factors related to agriculture and land-use are also found to induce CO2 emissions, which is a major cause of climate change. Therefore, from a policy perspective, this study suggests that to ensure long-term food security in the South Asian nations, the government should implement effective policy measures, which include the decarbonization of the agricultural sector by encouraging the use of renewable energy sources and promoting climate-resilient agricultural practices. [ABSTRACT FROM AUTHOR]

We propose a new method to compute nonlinear transport coefficients in holography, such as nonlinear DC conductivity and the nonlinear friction coefficient. The conventional method can be applied only to the models whose action in the gravity dual has the "square-root structure," i.e. the Dirac–Born–Infeld action of the probe D-branes or the Nambu–Goto action of the probe strings. Our method is applicable to a wider range of holographic models whose action does not have such a square-root structure. We propose a condition to obtain regular physical configurations in the gravity dual in the form of two simultaneous equations, which we call the patchwork condition. Our method also enables us to estimate the effective temperature of the nonequilibrium steady states in a wider range of holographic models. We show that a general model exhibits different effective temperatures for different fluctuation modes. [ABSTRACT FROM AUTHOR]

Forest biomass and carbon storage models are crucial for inventorying, monitoring, and assessing forest resources. This study develops models specific to China's diverse forests, offering a methodological foundation for national carbon storage estimation and a quantitative basis for national, regional, and global carbon sequestration projections. Utilizing data from 52,700 permanent plots obtained during China's 9th national forest inventory, we calculated biomass and carbon storage per hectare for 35 tree species groups using respective individual tree biomass models and carbon factors. We then constructed a three-level volume-based model system for forest biomass and carbon storage, applying weighted regression, dummy variable modeling, and simultaneous equations with error-in-variables. This system encompasses one population of forests, three forest categories (level I), 20 forest types (level II), and 74 forest sub-types (level III). Finally, the assessment of these models was carried out with six evaluation indices, and comparative analyses with previously established biomass models of three major forest types were conducted. Determination coefficients (R2) for the population average model, and three dummy models on levels I, II, and III, exceed 0.78, 0.85, 0.92, and 0.95, respectively, with corresponding mean prediction errors (MPEs) of 0.42%, 0.34%, 0.24%, and 0.19%, and mean percent standard errors (MPSEs) of approximately 22%, 21%, 15%, and 12%. Models for 20 forest types and 74 sub-types yield R2 values above 0.87 and 0.85, with MPE values below 3% and 5%, respectively. Notably, the estimates of previous biomass models of three major forest types demonstrated considerable uncertainty, with TRE ranging from −20% to 74%. However, accuracy has improved with larger sample sizes. In total biomass and carbon storage estimations, the R2 values of dummy models for levels I, II, and III progressively increase and MPSE and MPE values decrease, whereas TRE approximates zero. The tiered model system of simultaneous equations developed herein offers a quantitative framework for precise evaluations of biomass and carbon storage on different scales. For enhanced accuracy in such estimations, applying level III models is recommended whenever feasible, especially for national estimation. [ABSTRACT FROM AUTHOR]

With the application of the two-tier capital agreement and the introduction of the three-tier capital agreement, the discussion of the role of banks’ capital in the monetary transfer mechanism and banks’ lending decisions has become more important. In this regard, in this research, the effect of the legal requirements of the Basel III Agreement on the lending power and financial stability of the banking sector in Iran has been investigated using the system of simultaneous equations. For this purpose, the data from 19 selected banks and financial institutions were used during the period of 2011-2019. The findings of the research showed that the legal requirements of Basel III had negative and significant effects on bank lending. It was also observed that the legal requirements of Basel III had positive and significant effects on the financial stability of banks. [ABSTRACT FROM AUTHOR]

This work was aimed at creating a new, fast, and accurate UV spectrophotometric method for quantifying prazosin hydrochloride in pure and tablet dosage forms. A phosphate buffer solution of pH 6 was used as a diluent. The highest absorbance of prazosin hydrochloride was measured at 247 nm, and the linearity ranged from 2 to 8 μg/mL. The regression equation for prazosin hydrochloride was y= 0.087x + 0.236, with a correlation value 0.987. The percentage of recovery ranged from 99.6 to 101%. The relative standard deviation for intraday precision and interday precision was determined to be less than 2. The LOD and LOQ of prazosin hydrochloride were determined to be 0.0375 and 0.113 μg/mL, respectively. International Council for Harmonisation criteria validated the spectrometric technique and was suitable for routine quantitative measurement of prazosin hydrochloride in pure and tablet dosage forms. [ABSTRACT FROM AUTHOR]

The container shipping industry has undergone significant changes in the post‐COVID‐19 era. This study examines the impact of the pandemic on container freight rates (CFR) through a demand analysis approach, using 11 major international container trade lanes from Shanghai, China as a case study. We analyze the CFR data on both weekly and monthly bases, with a focus on retaining more individual and time information using long panel data. To better reveal the pandemic's impact on CFR, we introduce interactive terms and simultaneous equations in our model. Our empirical analysis shows that the pandemic has not only directly and positively affected CFR, but, more importantly, has also indirectly promoted the growth of container shipping cost by stimulating the demand for containerized goods exported from China. Additionally, the connectivity or capacity of a given trade lane has inhibited the pandemic's effects on CFR to a certain extent. These findings provide insights into the remarkable growth of CFR from the demand side in 2020. [ABSTRACT FROM AUTHOR]

In this study, simultaneous quantification of 2-nitrophenol and 4-nitrophenol in their binary mixtures was investigated spectrophotometrically. Since the signals of analytes were highly overlapped, a multivariate partial least squares (PLS) technique was proposed to analyze the data. The PLS method makes the analysis possible without the need for the separation of analytes by tedious separation procedures or using expensive instrumentation techniques such as chromatographic methods. Both 2-nitrophenol and 4-nitrophenol possess acid-base properties and it was required to investigate the effect of pH on the FOM of the calibration. Therefore, at three pH conditions, the calibration processes were evaluated and the results showed the best FOM and the least root mean squares error of prediction (RMSEP) for both analytes were achieved for the augmented data at 3.45 and 8.95 of pHs where only neutral or anionic forms of analytes were present in the solution. The analytical sensitivity, limit of detection, R², and RMSEP were 108.3 ppm-1, 0.08ppm, 1.00, 0.04 ppm and; 163.2 ppm-1, 0.06 ppm, 0.9999, 0.04 ppm for 2-nitrophenol and 4-nitrophenol, respectively. [ABSTRACT FROM AUTHOR]

In this paper, a new family of iterative methods for the simultane-ous approximation of simple complex polynomial zeros is presented. The proposed family of simultaneous methods is constructed on the basis of the well-known third order Ehrlich iteration, combined with an iterative correction from the sixth order Neta's method for nonlinear equations. It is proved that the use of this iterative correction allows to increase the convergence order of the basic method from three to eight. Numerical examples are given to illustrate the convergence and effectiveness of the proposed combined method. [ABSTRACT FROM AUTHOR]

This research focuses on the effects of incentive pay schemes (IPSs) on the within-establishment gender wage gap and explores whether the intensity of intangible capital at the industry level moderates such effects. To this aim, we use establishment-level data from various waves (from 2006 to 2018) of the SES – Structure of Earning Surveys for the five largest European economies (Germany, France, Italy, Spain, and the UK). Data on intangible capital stocks (on 25 industries) are from the EU-KLEMS database. The analysis, which addresses potential endogeneity issues, indicates that more pervasive use of IPSs alleviates the adjusted gender pay gap. However, this inequality-attenuating effect of IPSs materialises only in contexts where intangible capital intensity is low. The result is confirmed if we replicate the analysis in subsamples of establishments belonging to industries with high/low intensity of various intangible capital components, but training emerges as a notable exception. [ABSTRACT FROM AUTHOR]

The Gaussian elimination method of solving four variables of simultaneous equations involves eliminating some elements of the simultaneous equations in triangular form to zero to determine the values of the variables of the simultaneous equations. This approach does not involve a matrix in generating the values of variables of the simultaneous equations. There is a need to develop a matrix model for solving four variables of simultaneous equations. The pattern of the developed model can be extended by solving three variables and two variables of simultaneous equations. This study develops Kifilideen’s Elimination Matrix Model to solve simultaneous equations of four variables w, x, y, and z, three variables x, y, and z and two variables x and y. The elimination method was gradually used to reduce the number of variables of a given simultaneous equation in matrix form. In contrast, in the process, Kifilideen’s Elimination Matrix Model was generated to solve the values of the variables of the simultaneous equations. The Kifilideen’s Elimination Matrix Model was implemented in solving four variables w, x, y, and z, three variables x, y, and z and two variables x and y simultaneous equations. Kifilideen’s Elimination Matrix Model has been fully utilised, attractive, accurate, and easy to understand

This study aims to derive the exact stretching and bending solutions of the radially FGM annular sandwich plate subjected to either radial pressure or transverse load. The radially FGM annular sandwich plate consists of two homogeneous rings and an FGM-undercoated layer with uniform Poisson's ratio and radially graded Young's modulus based on the power function. Although the radially FGM annular sandwich plate is nonhomogeneous, the stretching and bending problems can be analyzed separately based on the elastic plate theory. Then the exact solution corresponding to the power-law graded FGM can be evaluated by solving the simultaneous equations of the boundary and continuous conditions. The theoretical results are validated through the comparison with the finite element solutions. When degenerated, our results coincide with those of the homogeneous annular plate in the literature, making the obtained solutions reliable. Using the radial-FGM as the undercoated layer makes the strains and stresses smoothly continuous at the interfaces of the layers. The effects of the material index on mechanical behavior are under investigation. [ABSTRACT FROM AUTHOR]

In this study, the panel data of 34 industrial sectors are selected from 2004 to 2019 in China and empirically tested the carbon emission reduction effect and its transmission path during the coordinated development of two-way FDI. The results show that the coordinated development of two-way FDI in China's industrial sector had a significant but heterogeneous carbon emission reduction effect. The coordinated development of two-way FDI in high-yield scale groups, low-energy-consumption industries and high-tech industries had a stronger inhibitory effect on carbon emissions. When the coordinated development level of two-way FDI in China's industrial sector was high, its carbon emission reduction effect was more significant. After the Belt and Road Initiative was put forward in 2013, the carbon emission reduction effect of the coordinated development of two-way FDI in China's industrial industry was stronger. The mechanism test results showed that the coordinated development of two-way FDI in China's industrial sector mainly affected domestic carbon emissions through three transmission paths: scale, structure, and technology effects. Of these, the scale effect was positive, and the structure and technology effects were negative. [ABSTRACT FROM AUTHOR]

This paper examines the effect of climate change on cereal yields via malaria prevalence in sub-Saharan African (SSA) countries. To achieve this objective, this paper uses a model composed of a system of two equations estimated with the 3SLS method, the semi-parametric approach and the two-stage system GMM method. Panel data from 31 SSA countries over the period 2000–2019 are used. Results reveal, on the one hand, that a change in temperature and rainfall leads to a significant increase in malaria prevalence. On the other hand, malaria prevalence reduces cereal yields by 2.6% on average in most SSA countries, via its effects on household's agricultural productivity. To reduce malaria prevalence to increase agricultural yields, policy-makers may need to disseminate malaria-reduction-related practices such as the use of insecticide-treated bed-nets and improving access to malaria treatments in rural dwellings. [ABSTRACT FROM AUTHOR]

Copyright of Contaduría y Administración is the property of Facultad de Contaduria y Administracion-Universidad Nacional Autonoma de Mexico and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

There is growing interest in the relationship between digitalization and environmental, social, and governance (ESG) performance, but existing research focuses on the one-way relationship and ignores the two-way mechanism. Based on a sample of 3335 listed companies in China in 2020, this study adopts a spatial simultaneous equation model to investigate the bidirectional mechanism between companies' digitalization and ESG performance. The results show that digitalization and ESG performance have a significant positive two-way mechanism; digitalization enhances ESG performance, while ESG performance promotes digitalization. The results also indicate a significant positive intra-industry spillover effect for both digitization and ESG performance. Further research shows that the relationship between digitization and ESG performance does not differ depending on the definition of spatial weights, however, the spillover effects do differ depending on the definition of spatial weights. [ABSTRACT FROM AUTHOR]

Beef production in Indonesia has experienced a decline after the COVID-19 pandemic, leading to an expanding gap between the supply and demand of beef. This widening gap has resulted in an increased reliance on beef imports, which in turn impacts domestic food stability. This study examines the impact of import policies on the supply and demand of beef both before and after the COVID-19 pandemic. Utilizing secondary data related to beef production, consumption, and prices, officially released by relevant ministries or institutions, the analysis was conducted using an econometric model with a simultaneous system equation. The results show that implementing a policy to decrease beef imports while concurrently increasing imports of feeder after the pandemic can enhance beef production by 25%, surpassing levels observed before the COVID-19 pandemic. Such a policy will lead to a decrease in the national beef supply, although demand will remain unchanged during both periods. By using a simultaneous equation system approach that links the dimensions of beef production and consumption, this study offers comprehensive insights for policymakers in designing policies and programs to increase Indonesia's beef production. [ABSTRACT FROM AUTHOR]

This article aims to illuminate temporality in value determination and stratification of value and price in the transformation of value into price. This leads to an understanding of value-relocating through the two concepts presented in this study: current-value-relocating (CVR) and integrated-value-relocating (IVR). Based on Marx's exploration of the labor process and social reproduction and focusing on two components of a commodity's value and the relation between the individual and aggregate level, the article seeks to propose a non-linear conception of temporality in value determination, which justifies the application of simultaneous equations in value determination. Furthermore, through the depiction of the stratification of value and price, the study insists on retaining the relations among their components in different layers. Lastly, the research attempts to explain all price-value deviations at the aggregate and individual levels in two forms: CVR and IVR. [ABSTRACT FROM AUTHOR]

Copyright of Canadian Journal of Administrative Sciences (John Wiley & Sons, Inc.) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With more and more loss caused by forest biological disasters (FBDs) in China, forest farmers, as one of the most important stakeholders, are participating in the control. In this study, the ordinary least squares model, simultaneous equation model, and propensity score matching method were used with the data from 818 surveys conducted in the typical FBD outbreak provinces, to reveal the FBD control behaviors of forest farmers and their differences between western and eastern regions of China. The results indicated the following. (1) Household factors: forest farmers could timely take control measures. An increase of 1 ha in the area of occurrence would increase the control measures by 3.26 ha. However, the control measures can only reduce 50% of the economic loss caused by FBDs and cannot effectively control the spread trend of FBDs. There are issues, including an insufficient and old labor force, insufficient technology support, and low consciousness of ecology protection. (2) External factors: forest farmers would increase control when the temperature rises, and reduce control when rainfall increases. After village committees unify organizing the control, their participation enthusiasm would increase, which would have a substitution relationship with the household investment. (3) Regional difference: the eastern region of China has higher figures than the western in terms of outbreak area, economic losses, control measures, and pesticide cost. If the western forest farmers have the control funds as the eastern forest farmers have, and the eastern forest farmers have the control intensity as the western forest farmers have, the overall FBD control effect would be better. [ABSTRACT FROM AUTHOR]

This paper aims to estimate sustainability elasticities to investigate how the sustainable development pillars in Iran should interact with those of the greatest economies in the west and east of the world, i.e., the US and China, respectively. For this estimation, this research uses SEY model including simultaneous equations system and Granger causality within 1972–2019 via two approaches of limited and full information. The results show high elasticities of sustainability among these countries, implying their considerable spillover effects and confirming the integrated sustainability perspective. In addition, the results show that the sustainability spillover effects of China are more massive than those the US on Iran sustainable development pillars. This result has two implications. The first one accepts the considerable flow of spillover effects between Iran and China. The second one shows that Iran has been unsuccessful in employing and activating the potential flows of sustainability spillover effects from the US as the greatest global economy. Therefore, policy-makers in Iran should consider a peaceful and collaborative relationship with the global community to improve and accelerate its sustainable development progress. Also, they should keep their relationship with China as the second biggest economy in the world while improving the relationship with the US to activate the potential spillover effects between the sustainability pillars of Iran and those of the US. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Indonesian Agribusiness / Jurnal Agribisnis Indonesia is the property of IPB University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper investigates the impact of Foreign Direct Investment (FDI) and political stability on food security (SDGs2) in Sub-Saharan African countries using simultaneous equation model and GMM method over the period 1996–2020. The empirical results show that FDI positively affects food security in Sub-Saharan African countries, East Africa (EAC), West Africa (WAMZ) and WAEMU. The results show that political stability negatively affects food security in Sub-Saharan African countries, CEMAC, ECA and WAEMU, while having a positive impact on food security in SACU and WAMZ. Other important results show that the interaction of FDI and political stability has a positive and significant impact on food security in Sub-Saharan African countries and SACU, while negative impact in EAC and WAEMU. This implies that political stability plays a crucial role on how FDI affects food security. This result indicates that improving food security in Sub-Saharan African countries depends on increasing the inflows of foreign direct investment and improving political stability. The policy implications of this study is that governments in Sub-Saharan African countries must give great importance to improving political stability, thus, increasing FDI inflows and enhancing the level of food security (SDGs2). [ABSTRACT FROM AUTHOR]

Ten novel spectrophotometric approaches were developed for the initial examination of the Hydroxychloroquine and Paracetamol medications. These procedures are straightforward, specific, easy to use, and provide exact and accurate results. The determination was conducted through the utilization of several approaches, including zero order (dual wavelength, zero crossing, advanced absorption subtraction and spectrum subtraction), derivative (first derivative of zero crossing), ratio (ratio difference, ratio derivative) and mathematical (bivariate, simultaneous equation, and Q-absorbance) techniques. After undergoing validation in accordance with ICH criteria, it was established that each of these methods achieved acceptable levels of precision, repeatability, robustness, and accuracy. The advantages and disadvantages of each method are demonstrated, and the proposed and reported methodologies were statistically compared. [ABSTRACT FROM AUTHOR]

Empagliflozin, an inhibitor of SGLT-2, a sodium glucose co-transporter is found mainly in the proximal tubules of the nephronic components of the kidney. The assay of empagliflozin in its tablet form has been created using a unique, secure, and sensitive UV-spectrophotometric approach. During the development and validation of the method for the assay of empagliflozin, methanol was employed as the solvent. The maximum absorbance wavelength of the solution was determined by scanning in a UV spectrophotometer. At the specified wavelength; absorbance was measured using a variety of calibration standards. The linearity and range of the calibration curve of concentration vs. absorbance were computed. The accuracy, precision, limit of detection, limit of quantitation, and ruggedness of the analytical approach were among the metrics that were determined. A correlation coefficient of 0.999 indicated linearity within the concentration range 2–10 μg/mL. The maximum absorbance of empagliflozin in methanol was determined to be 238.5 nm. Recovery was estimated as per International Conference on Harmonization guidelines and was found to be as per the acceptance limits: 93.25%. The developed UV method was found to be precise with relative standard deviation less than 2%. The assessment of empagliflozin in its tablet formulation using a UV-spectrophotometric technique was determined to be both safe and helpful. The uniqueness of this research is based on a cost-efficient, time-saving, safe, easy, and successful approach for validating empagliflozin. [ABSTRACT FROM AUTHOR]

Income inequality had been one of the important manifestations of social inequality, which can affect the health level by affecting savings, health care and living standards. Existing researches about the relationship between income inequality and health ignored the comprehensive characteristic of health concept, and did not consider the intrinsic relationship between health and income inequality. This paper attempts to re-shed light on the relationship. Firstly, this paper constructs a new health level evaluation system from three aspects: health basis, health environment and behavior, and health security. By means of the combination evaluation method, the health levels can be obtained. Then, considering the interaction between health and income inequality, a simultaneous equation group model is constructed to empirically test the relationship between income inequality and health levels in China. The results reveal that health level is negatively correlated with income inequality. Reducing income inequality plays an important role in improving health levels in China. [ABSTRACT FROM AUTHOR]

A novel wideband dual‐band bandstop filter with multi‐transmission zeros and multi‐reflection zeros is presented. It consists of two pairs of symmetric open‐ended coupled lines at two sides and (2N − 1) pairs of coupled‐line sections with an open‐circuited stub in the middle. Through even‐ and odd‐mode analyses, general simultaneous equations for characteristic impedances are derived with the proposed algorithm. By suitably selecting all the design parameters, the proposed topology could not only provide a controllable equal‐ripple response in the passband but also control the stopband rejection, bandwidth (BW), and centre frequency ratio in the stopband flexibly. For verification, one prototype circuit is finally fabricated and measured in the experiment. Good agreement between the measured and simulated results is attained so as to successfully validate the correctness of the proposed design method. [ABSTRACT FROM AUTHOR]

Two simple and rapid ultraviolet spectrophotometric methods were developed to estimate indapamide and atenolol in marketed tablet formulation. These ultraviolet methods are simple, economical and less time consuming as compared to other instrumental methods. The developed methods included the simultaneous equations method and absorbance ratio method. Methanol was used as a dissolving solvent and distilled water was used as a diluent. For the simultaneous equations method, the wavelengths selected were 241 nm (λmax of indapamide) and 224.4 nm (λmax of atenolol) and for absorbance ratio method, the two wavelengths selected were 233.8 nm (isosbestic point) and 224.4 nm (λmax of atenolol). In both approaches, the linearity was proven over concentration ranges of 2-20 µg/ml for indapamide and 10-80 µg/ml for atenolol. The percentage purity in the marketed formulation was found to be 99.79 % for indapamide and 98.57 % for atenolol by simultaneous equations method and 99.56 % for indapamide and 100.0 % for atenolol by absorbance ratio method, which lies within the acceptance criteria i.e., 95 %-105 %. The methods were validated as per the International Council for Harmonisation guidelines and were found to be linear, precise, accurate, sensitive and robust and hence can be used for the estimation of indapamide and atenolol simultaneously in tablet formulation. [ABSTRACT FROM AUTHOR]

A three-stage decentralized controller design algorithm is developed to achieve setpoint tracking and disturbance rejection in MIMO systems with communication time delay, and nonlinearities such as saturation and dead band. The first stage involves reference model formulation. The second stage comprises equating approximate generalized time moments/approximate generalized Markov parameters of closed-loop system model with reference model at certain expansion points in s-plane to obtain synthesis-like equation, concerning products of unknown controller numerator and denominator polynomials. This process yields simultaneous linear equations, whose solution provides the coefficients of the product polynomials. In the third stage, the controller parameters are extracted from the product polynomials using exact model matching. The proposed method is illustrated by designing load frequency controller in traditional and restructured power systems under scenarios like system parameter uncertainties, random load variation, and time-varying communication delays. Simulation studies reveal the efficacy of the proposed technique over existing techniques. Furthermore, the practical implementation feasibility of the decentralized controller designed for the restructured power system is validated using the TMS320F28379D controlCARD. [Display omitted] • Model matching decentralized controller design for servo and regulatory problems. • Handles communication time delay, saturation, and dead band nonlinearities. • Need for decoupler and order reduction of MIMO system is not required. • 1/2/3-DOF controller of any structure can be designed irrespective of system's order. • Real-time validation of designed controller using TMS320F28379D controlCARD. [ABSTRACT FROM AUTHOR]

This paper tests the hypothesis that action-based fiscal consolidations have a negative effect on GDP growth. Using the IMF's dataset on action-based fiscal consolidations, instrumental variables' regressions show that action-based fiscal consolidations have a significant positive effect on GDP growth. The instrumental variables' regressions also show that action-based fiscal consolidations significantly increase investment and productivity. The findings presented in this paper thus strongly reject the hypothesis that action-based fiscal consolidations reduce growth. The paper argues that least squares estimates presented in previous literature suffer from negative reverse causality bias: GDP growth has a significant positive effect on both the likelihood and the magnitude of action-based fiscal consolidations. To uncover causal effects of action-based fiscal consolidations, researchers need to use an instrumental variables approach. [ABSTRACT FROM AUTHOR]

This paper provides a new modeling for air pollution, simultaneously taking into account the six main pollutants (PM10 and PM2.5, Sulphate Dioxide, Nitrogen Dioxide, Carbon Monoxide, ground level Ozone concentrations) and their key determinants, employing Structural Equation Models (SEMs). The model is able to estimate the complex links among air pollutants, often neglected in literature, and identifies specific drivers of air pollution. In literature, indexes of air pollution achieved using a fully statistical methodology have not been proposed yet. Indeed, an added value of this proposal is the statistical procedure itself, which can be applied also to obtain indexes modeling different phenomena. In particular, in this study, the new Air Pollution Index (API) is based on a modeling approach that allows to assess, through statistical criteria, the goodness of fit of the SEM in modeling pollutants and the significance of their determinants. The performance of the new index is assessed using air quality data for municipal European areas, which are characterized by different socioeconomic, geographical, and meteorological features. SEMs are estimated and evaluated in terms of best fit and model complexity. The index resulting by the best SEM is compared with the well‐established Air Quality Index (AQI). The new API is validated by means of a sensitivity analysis, performed with a simulation study. Finally, to visualize the meaningfulness of the obtained results, a model‐based cluster analysis is estimated on the municipal areas. The proposed SEM contributes to a better understanding of the relationships between air pollutants and their determinants, and this knowledge can inform policy decisions aimed at reducing air pollution and improving public health. [ABSTRACT FROM AUTHOR]

One of the challenges facing economic sectors is providing the required financing and liquidity for fixed investments and current capital (working capital). The current study is aimed to expand such studies in another aspect of the role of financial markets in terms of their relationship with macroeconomic variables such as economic growth rate, unemployment rate, and exchange rate as vital economic variables. Considering the position of the financial system in the allocation and efficiency of financial resources, this study deals with the impact and importance of financial repression policies and financial depth in solving the problems of the unemployment rate, exchange rate, and economic growth rate in Iran with the simultaneous equations approach from 1971 to 2017. The results showed that financial repression and depth policies significantly affect macroeconomic variables (economic growth, unemployment rate, and exchange rate). Furthermore, it is indicated that the financial repression policy does not have a negative effect on economic growth and a positive effect on the unemployment rate; however, it has a positive impact on the exchange rate. In addition, this study unravels that the financial depth policy does not negatively and significantly affect economic growth. However, it positively affects the exchange rate and unemployment rate. [ABSTRACT FROM AUTHOR]

This study focuses on the examination of the side effects of the European cohesion policy (ECP), in particular, the direct and indirect effects of the European structural and investment (ESI) funds on business cycle co-movement in the Euro area (EA) countries. The results of analysis performed using the simultaneous equations framework in the 2000–2019 period reveal that increasing ESI payments within the cohesion policy have overall contributed to more synchronized EA business cycles. Even though the ESI payments do not seem to directly support synchronization, probably because of their procyclical nature, we find that the unintended benefits of the ESI payments with respect to the synchronization lie in their indirect positive effects, which outweigh the negative direct effect. The total positive effect of the ECP emerges because increasing investment from the ESI funds promotes the EA business cycle synchronization via trade, bilateral FDI, and income similarity. Meanwhile, similar evidence has not been confirmed for the specialization channel. [ABSTRACT FROM AUTHOR]

Background: Thymol and Cholecalciferol in a combined approach can be used as antioxidant, free radical scavenging, anti-depressant, anti-inflammatory, anti-diabetic, anti-arthritis etc. So, rapid, cost effective and simple analytical method is required to estimate Thymol and Cholecalciferol simultaneously in the mixture. Purpose: The purpose of this work is to develop and validate Ultraviolet spectroscopic (UV) method for simultaneous estimation of Thymol and Cholecalciferol. Materials and Methods: Two methods were developed i.e., simultaneous equation method and Q-Absorbance ratio method. In simultaneous equation method, absorbance of Thymol and Cholecalciferol were measured at λmax of 276.3 nm and 263.2 nm. While in Q-Absorbance ratio method, absorbance of Thymol and Cholecalciferol were measured at 270.1 nm (isosbestic point) and at 263.2 nm (λmax of Cholecalciferol). Methanol was used as a solvent in both the methods. Results: The concentration of the individual drugs in the combined mixture was found in the range of 98% to 100% in both methods. Developed methods were validated as per ICH quality guidelines. The validation parameters checked were linearity, range, LOD, LOQ, precision and accuracy. Conclusion: Both the methods were found accurate, simple, precise and reproducible for simultaneous estimation of Thymol and Cholecalciferol. These developed analytical methods can be used for quantification of Thymol and Cholecalciferol in pharmaceutical dosage forms. [ABSTRACT FROM AUTHOR]

In an optical system with multiple lens groups and increased zoom magnification levels, achieving a smooth zoom locus is increasingly difficult. Traditional methods for calculating zoom loci often involve complex and time-consuming formulas. Consequently, we utilized the Padé approximation in optical design software to compute the zoom locus analytically, irrespective of the number of zoom positions (nodes). The initial data were used to assign orders to rational function polynomials, facilitating Padé approximation. If the image surface extended beyond the depth of focus (DOF), a node was added, with adjustments made until it fell within the DOF range. Furthermore, Padé approximation was performed to prevent singularities. The loci of all lens groups in the optical system can be expressed in a rational function format. Specifically, the numerator and denominator polynomial degrees were 20° and 1°, respectively, with their sum being the total number of nodes. In addition, we calculated the zoom locus by increasing the numerator sequence to minimize the occurrence of the singularity and added the node automatically to enable zoom locus calculation in all optical systems. Accordingly, we could make fast calculations, unlike conventional methods, using complex and time-consuming simultaneous equations. Therefore, we could express the locus of the compensated group in the form of a smooth function, as presently shown. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: This study aimed to analyze the influence of economic growth, industrialization, government spending, and environmental taxes on environmental quality as well as the influence of environmental quality, unemployment, and inflation on Indonesia's economic growth. This condition is important to maintain environmentally friendly economic development to achieve sustainable development. METHODS: The study was conducted using simultaneous equation model analysis considering classical assumption tests such as normality tests, granger causality and heteroscedasticity. This study data began in 2015 to 2021 in 34 provinces in Indonesia. In this study, the determinants of environmental quality used were industrialization, government spending and environmental taxes, whereas those of economic growth were unemployment and inflation. FINDINGS: The results of the study indicate that economic growth, industrialization, government spending and environmental taxes have a significant effect on Indonesia's environmental quality. Collectively, these determinants account for 22.18 percent of the variance. However, environmental quality and unemployment do not have a significant effect on Indonesia's economic growth. Meanwhile, inflation has a significant effect on economic growth. Simultaneously, the influence of the determinants of economic growth is 33.52 percent. CONCLUSION: Economic growth, industrialization, government spending and environmental taxes have a significant influence on Indonesia's environmental quality. On the other hand, environmental quality and unemployment do not have a significant effect on Indonesia's economic growth. Meanwhile, inflation has a significant effect on economic growth. The policies suggested, include the following 1) the government must be able to maintain environmental quality while still encouraging economic growth, implemented by creating an environmentally sound growth concept or applying the green economic concept to harmonize growth and the environment; 2) the industrialization process must be maintained so that it does not damage the environment, and pollution threshold rules created in the industrialization process must be applied. [ABSTRACT FROM AUTHOR]

Studies have shown that solving worded real-world problems is a difficult challenge for pre-service secondary mathematics teachers engaging study in most tertiary institutions. This case study reports the performances of three groups of regional pre-service mathematics teachers in their attempts to solve three different worded real-world problems through simultaneous equations in their formal assessments. These students were the first-year pre-service mathematics teachers enrolled in an undergraduate education program in a regional university in Australia. Their performances are compared by statistical analysis. The result of this study indicates that design of the word questions should consider challenging tasks appropriate for the students to achieve the pedagogical purpose in solving real-life problems that can best facilitate training the students towards becoming knowledgeable and motivated mathematics teachers for secondary schools, rather than ideologically making a levelling field with less challenging problems to achieve a high pass rate mandated by many institutions.

National — and local — conversations about immigration are often centered on immigrants' integration into the US society. One factor that shapes immigrants' integration is their pre-migration work experience, skills, and training and a series of studies have used "channeling" as a concept to identify immigrants who have worked in the same occupation and/or industry in the destination labor market as they had in the origin labor market, prior to migration. Using the New Immigrant Survey (NIS) and a simultaneous equation model (SiEM) approach, this article expands on this research by exploring the impact of channeling on wages for Asian Indians, Filipino/as, and Mexicans with lawful permanent resident (LPR) status. Contrary to prior findings on the effects of channeling within specific industries, we find that channeling is associated with lower, not higher, immigrants' wages. The findings are robust to different definitions of channeling, as the negative effects of channeling hold within industrial sectors and occupational groups. Moreover, the results indicate that channeling is not exclusive to the Mexico–US migration stream, but instead may be a feature of various US-bound immigration streams, including those from India and the Philippines. [ABSTRACT FROM AUTHOR]

• There is a simultaneous equations model to systematically study the impact of servitization of manufacturing on the upgrading of power status in the global value network. • The servitization of manufacturing will directly promote the international competitiveness of China's manufacturing based on the domestic value added of exports, and the improvement of international competitiveness will interact with the centralization of network power status. • Compared with the non-commercial sectors, the servitization of the commercial sectors has a more obvious impact on the power status of the global value network. • China's manufacturing enterprises should strengthen their own service-oriented transformation to improve the core competitiveness, especially in the forms of digital servitization and financial servitization. In the context of the great changes of the global value network pattern, the servitization of manufacturing has become an important strategy for the transformation and upgrading of multinational enterprises. China's manufacturing industry has been in the core area of the global value network, creating a lot of export value, but the quality of development needs to be improved. Especially, the servitization level and structure of China's manufacturing have a great space for development. The servitization level affects the international competitiveness of manufacturing enterprises, and their power status in the global value network depends on their international competitiveness to a large extent. With value-added trade data, inter-country input-output tables and China's industrial economic data, there is a simultaneous equations model in this paper to systematically study the impact of servitization of manufacturing on the upgrading of power status in the global value network. The empirical results show that the servitization level of the manufacturing significantly improves the competitiveness of the export value-added, and then affects its core position in the global network. This is a transmission mechanism with a complete mediating effect. Heterogeneity studies show that both commercial and non-commercial servitization have positive impacts on the status of China's manufacturing in the global value network, but the difference is significant. The distance between service and production, and the development stage of service dominance are the main reasons for the difference. China's manufacturing enterprises should optimize the allocation structure of production factors and strengthen their own service-oriented transformation to improve the core competitiveness, especially in the forms of digital servitization and financial servitization. And the government should innovate public service supply to carry out economic governance. [ABSTRACT FROM AUTHOR]

Focussed upon the U.S. stock market, the paper investigates the role of dividend policy, its level and (in)stability in generation of relative corporate value and relative stock price. Whilst relative corporate value is proxied by Tobin's q and relative stock price is operationalised by the four most frequent multiples (P/E, P/B, P/S and P/FCF), the dividend policy is represented by three popular metrics measuring the propensity to pay dividends. Controlling for operating and macroeconomic conditions, panel data techniques in a simultaneous equations framework are employed to 115,837 quarterly observations for 1466 firms represented in the S&P 1500 Composite Index over the period 1989–2022. The findings reveal that dividend policy matters, albeit the response of Tobin's and multiples to dividend policy is asymmetric. In particular, corporate value of U.S. firms is found to increase with per‐share dividend amounts but decreases relative to the dividend payout ratio and yield. The established empirical evidence reaffirms claims against dividend neutrality and is useful in developing pre‐selection investing strategies that relate practices in dividend policy to fundamental screening based on multiples. [ABSTRACT FROM AUTHOR]

This research explores the channels through which migrant remittances can promote private investment. The research method favours a dynamic simultaneous equation model estimated using a combination of the bootstrap method and the three‐stage least squares estimator to account for the interdependence between remittances and private investment. The study area is Burkina Faso, and the period of analysis covers the period 1985–2021. One of the main findings is that the level of corruption risk and the demographic dependency ratio are important transmission channels. Findings suggest creating an institutional framework that enhances the level of transparency and accountability and accelerates the demographic transition process. [ABSTRACT FROM AUTHOR]