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The debate on the metabolic effects of high fructose corn syrup (HFCS) continues. The deterioration of endoplasmic reticulum (ER) homeostasis is called ER stress. Glucose-regulated protein-78 (GRP-78) and X-box binding protein-1 (XBP-1) are key markers of ER stress and the therapeutic targets of diseases. Sterol regulatory element binding protein-1c (SREBP-1c) is the most important transcription factor that regulates the expression of enzymes for fatty acid synthesis. The purpose of this paper is to research the effects of L-carnitine and trans-chalcone on ER stress and oxidative stress parameters, and to explore the therapeutic potential of L-carnitine and trans-chalcone molecules.

Forty male wistar albino rats randomly selected were divided into five groups. All groups are fed with standard chow (ad libitum). While Group I was fed with drinking water, Group II, III, IV and V were fed with water containing 15% HFCS. L-carnitine was given to Group IV and trans-chalcone to Group V, and both were dissolved with DMSO and given intraperitoneally. Group III was not given anything additional.

While the amount of water consumption of HFCS-fed rats has increased, the amount of feed consumption has decreased. The weights of rats in Group II and Group III have increased significantly compared to Group I (p = 0.001, p = 0.001 respectively). In Group III, GRP78, XBP-1; malondialdehyde level (p < 0.001, p = 0.001, p = 0.041); total cholesterol, triglyceride, LDL levels (p = 0.001, p < 0.001, p = 0.009, p = 0.001, respectively) have increased significantly.

To the best of the authors’ knowledge, this study is the first report to show that excessive HFCS consumption causes oxidative stress and ER stress. The antioxidant and antiobesity properties of trans chalcone have been demonstrated. Extensive experimental and clinical studies should be conducted.

The global financial crisis (GFC) of 2008‐2009 has highlighted the need for understanding fluctuations in housing variables and how, as such, they contribute to understanding how housing markets work. The contention of this paper is to present a univariate structural time series analysis of the Australian Housing Finance Commitments (HFCs) covering the period 1988:6‐2009:5. The empirical analysis aims to focus on establishing whether monthly HFCs exhibit the expected cyclical and seasonal variations. The presence of a monthly seasonal pattern in HFCs is to be ascertained by way of testing possible hypotheses that explain such a pattern.

A structural time series framework approach, used in this paper, is in line with that promulgated by Harvey. Such models can be interpreted as regressions on functions of time in which the parameters are time‐varying. This makes them a natural vehicle for handling changing seasonality of a complex form. The structural time series model is applied to seasonally unadjusted monthly HFCs, between 1988:6 and 2009:5. The data have been sourced from the ABS. For consistency, the sample for each variable is standardised to start with the first available July observation and end with the latest available June observation.

The modelling results confirm the presence of cyclicality in HFCs. The magnitude of the observed cycle‐related changes is A$817m. A structural time series model incorporating trigonometric specification reveals that seasonality is also present and that it is stochastic (as implied by the inconsistency of the monthly seasonal factors over the sample period). The magnitude of monthly seasonal changes is A$435.8m. The results show the presence of statistically significant factors for January, February, March, April, May, September, October and November, which are attributed to “spring”, “summer” and “autumn” seasonal effects.

Empirical evidence of variations in housing‐related variables is relatively limited. A study of the literature uncovered that most studies focus on house prices and found no empirical research focusing on fluctuations in HFCs. Consequently, this research aims to be the first to explain the presence of seasonal and cyclical fluctuations in such an important housing variable as HFCs. Moreover, the paper aims to enhance the practice of modelling seasonal influences on housing variables.

This study aims to evaluate the use of vacuum impregnation (VI) for developing vitamin E fortified fresh‐cut apples (Fuji).

A 20 per cent high fructose corn syrup (HFCS) or edible coating materials of 1 per cent hydroxypropyl methylcellulose (HPMC) and 1 per cent calcium caseinate (CC) were used to make VI solutions, and 0.4 per cent α‐tocopherol acetate, 7.5 per cent gluconal cal^{\tf="Pi3" \char"31} (GC) and 0.04 per cent zinc lactate (ZL) were incorporated into the VI solutions. Vitamin E content, color, and selected physicochemical properties of fortified fresh‐cut apples were analyzed.

Results showed that VI treatment with 20 per cent HFCS solution containing 0.4 per cent α‐tocopherol acetate increased vitamin E content up to 21.8 mg in 100 g of fresh‐cut apples, while 12.0 mg and 20.2 mg vitamin E were achieved when using 1 per cent HPMC or 1 per cent CC as VI solutions, respectively. Calcium and zinc content were also increased to 146.6 mg and 1.7 mg in 100 g of apples, respectively, when adding 7.5 per cent GC and 0.04 per cent ZL along with the vitamin E into the VI solutions. Use of HFCS, HPMC and CC as VI solutions resulted in different effects on the physiochemical properties of fresh‐cut apples. While HFCS is promising for vitamin E fortification and retention of natural apple color, HPMC and CC can be used to achieve similar vitamin E fortification with the least impact on the soluble solids and moisture contents of apples.

The study demonstrates that there is great potential for developing high quality, vitamin E and minerals fortified fresh‐cut apples using vacuum impregnation technology, thus further enhancing the health benefit of the apples.

This paper aims to offer a simultaneous design approach for helicopter having swept anhedral blade tip shape and helicopter flight control system (HFCS) to minimize controller cost.

By considering previously stated offer, control-oriented models and a stochastic optimization method are applied to minimize controller cost of the HFCS.

Using simultaneous design approach for helicopters having blade tip swept and blade tip anhedral causes considerably less control effort than the helicopters not benefiting this related design approach.

Simultaneous design approach for helicopters having blade tip swept and blade tip anhedral is applicable to consider fuel economy.

One important novelty of this paper is using simultaneous approach for determining optimum shape of blade tip swept and anhedral. Another considerable novelty of this paper is also using a stochastic optimization method called simultaneous perturbation stochastic approximation for previously mentioned purpose. In this paper, it is also reached that using simultaneous design approach for swept anhedral helicopter blade tip shape and HFCS causes less control effort than the helicopters not using this approach. This leads to less fuel consumption and green environment.

In 2020, household incomes were severely hit by the lockdowns imposed across the world in response to the COVID-19 pandemic. Using data from the last available wave of the euro-area harmonized Household Finance and Consumption Survey for 2016, this chapter documents European households’ financial resilience to this shock, based on pre-shock balance sheets, potential exposure to COVID-19, and in the absence of government interventions. The results highlight that there are large and similar shares of the population across European countries that are likely to suffer from the economic fallout of containment measures – albeit through different channels.

The primary objective of the paper is to demonstrate the importance of borrower‐specific characteristics as well as local situation factors in determining the demand prospect as well as the risk of credit loss on residential housing loan repayment behavior in India.

Using 13,487 housing loan accounts (sanctioned from 1993‐2007) data from Banks and Housing Finance Cos (HFCs) in India, this paper attempts to find out the crucial factors that drive demand for housing and its correlation with borrower characteristics using a panel regression method. Next, using logistic regression, housing loan defaults and the major causative factors of the same are examined.

In analyzing the housing demand pattern, some special characteristics of the Indian residential housing market (demographic and social features) and the housing loan facility structure (loan process, loan margin, loan rate, collateral structure etc.), that have contributed to the safety and soundness of the Indian housing market have been deciphered. The empirical results suggest that borrower defaults on housing loan payments is mainly driven by change in the market value of the property vis‐à‐vis the loan amount and EMI to income ratio. A 10 percent decrease in the market value of the property vis‐à‐vis the loan amount raises the odds of default by 1.55 percent. Similarly, a 10 percent increase in EMI to income ratio raises the delinquency chance by 4.50 percent. However, one cannot ignore borrower characteristics like marital status, employment situation, regional locations, city locations, age profile and house preference which otherwise may inhibit the lender to properly assess credit risk in home loan business, as the results show that these parameters also act as default triggers.

This study contributes on the micro side of the housing market in India, since it uses unique and robust loan information data from banks and HFCs. The empirical results obtained in this paper are useful to regulators, policy makers, market players as well as the researchers to understand housing market demand and risk characteristics in an emerging market economy such as India.

This chapter proposes a measure of systemic default interconnectedness between banks, non-banks, housing finance companies in India and globally systemically important banks based on variance decompositions associated with a multiple variable vector autoregression of probability of default of the institutions. We call it the “vulnerability spillover index” (VSI). The vulnerability indices capture all the major macro and financial stress events in the Indian and global economy explaining the interconnections between sectors and underlying reasons for spillovers and potential for a systemic crisis. Thresholds of VSI are calculated which may enable prediction of financial stress events.

The entrance of economics into the literature on obesity and diabetes has been instrumental in showing how people respond to incentives when maximizing their health. In this paper some of the roles that prices and policies have played in the surging obesity and diabetes rates across the world are addressed. The paper focuses on the possible role that prices of foods with high glycemic indexes play in determining blood sugar levels, and addresses the recent concern with high fructose corn syrup and genetically modified goods across the world. The possible links and implications suggest that future research in the area is urgently needed.

Examines the impact of the sugar tariff‐rate import quota programme on the United States economy. Uses a computable general equilibrium model composed of 14 producing sectors, 14 consuming sectors, six household categories classified by fincome, and a government. Examines the effects of abolishing the tariff‐rate import quota on sugar prices and quantities. Suggests that a complete elimination of the sugar programme would result in lower output by all producing sectors (by about $2.85 billion) but, for all producing sectors besides the agriculture programme crops, crude oil, and petroleum refining sectors, output would actually increase (by about $2.98 billion). There would also be an increase in the consumption of goods and services (by about $197 million), and an increase in welfare (by about $121 million). The government would realize a reduction in revenue of about $15 million. When subjected to a sensitivity analysis, the study′s results are reasonably robust with regard to the assumption of the value of the own‐price elasticity of demand for sugar – i.e., while the model′s equilibrium values do vary in response to different assumptions of the values of this elasticity, the fluctuations are not so enormous as to suggest that the model is unrealistically sensitive to these parameters.

The paper aims to investigate the impact of financial liabilities on households’ holdings of financial assets. The debt-to-income ratio of the household sector increased from 75 per cent in 2000 to 99 per cent in 2010 in the euro area on average, and the rapid accumulation of household debt has induced the need to study how indebtedness affects the behaviour of households beyond their borrowing decisions.

The paper uses the first wave of the Household Finance and Consumption Survey from 2009-2010 covering euro area countries. The paper estimates a system of equations for households’ financial liabilities and assets, taking account of endogeneity and selection bias.

The results indicate that higher household liabilities are related to lower holdings of financial assets. The results are confirmed by a large number of robustness tests. The findings support the hypothesis that credit availability reduces precautionary savings as income shocks can be smoothed by borrowing, meaning fewer assets are held for self-insurance against consumption risk.

The results are obtained from a recession period when households faced aggregate shocks, whereas credit constraints were tighter than during good times. The implications of lower incentives to keep financial assets by indebted households is that they are actually more vulnerable to aggregate shocks, as they have fewer resources available when they are hit by a negative shock.

This is the first paper to investigate the effect of liabilities on financial assets using household level data. The paper takes a holistic view and models financial assets and liabilities jointly while controlling for endogeneity and selection bias.