Consumption Function Research Articles

Vegetable Salad Improves Lipid and Glucose Metabolism and Enhances Absorption of Specific Nutrients in Vegetables

Vegetables are low in energy and rich in vitamins, minerals, and dietary fiber; various health benefits associated with their intake have been reported. Salads are one of the most convenient ways to consume vegetables and can be made simply by pouring mayonnaise, dressing, olive oil, or other condiments over a selection of vegetables. There are also many reports on the ways in which vegetable intake can improve health. However, there is no comprehensive review summarizing the health functions of vegetables when consumed as a salad. The effects of vegetable salads on amounts of vegetable intake, lifestyle-related diseases, and the absorption of specific nutrients through mayonnaise, as well as the effects of the order in which vegetable salad and carbohydrates are consumed, have been reported. In this review, the health functions of vegetable salad consumption are reported.

Association between whole egg consumption and cognitive function in older adults: Birjand longitudinal aging study

OBJECTIVE: Egg consumption could reduce the chance of cognitive decline. We aimed to assess this possible protective effect using data from the Birjand longitudinal aging study (BLAS). METHODS: In this cross-sectional study, the association between number of whole eggs consumed per week and cognitive impairment was assessed on 1352 participants in the context of the first wave of BLAS conducted on September 2018 to April 2019. Six Item Cognitive Impairment Test (6-CIT), Mini-Mental State Examination (MMSE), Verbal Fluency Test (VFT) and abbreviated mental test (AMT) questionnaires were used to assess the cognitive function. Analyses have been conducted using multiple logistic regression. RESULTS: Participants ate an average of 2.4 eggs per week. Older adults with moderate and high egg consumption (2–3 eggs/week and ≥4 eggs/week, respectively) performed better at 6-CIT (OR: 0.61, 95% CI: 0.46; 0.80; and 0.58, 95% CI: 0.41; 0.82), AMT (0.67, 95% CI: 0.52; 0.87; and 0.56, 95% CI: 0.39; 0.80) and all 4 cognitive tests combined (0.47, 95% CI: 0.30; 0.73; and 0.44, 95% CI: 0.24; 0.78). VFT was not associated, and MMSE score was only associated with high egg intake (0.53, 95% CI: 0.38; 0.74). High egg intake was more protective of cognitive decline (≥40%) than the moderate intake (30–40%). The significance of most associations disappeared after adjustment for confounders and covariates. CONCLUSIONS: In summary, the findings of this study suggest a potential inverse relationship, displaying an ascending trend, between weekly egg consumption and cognitive function among elderly Iranians.

Economic reforms and consumption trends: A deep dive into Saudi Arabia’s economic evolution

This study examines the aggregate consumption function of Saudi Arabia from 2000 to 2022, focusing on identifying key determinants of household consumption and evaluating the impacts of disposable income, household wealth, government expenditure, interest rates, and oil revenues. the research uses advanced econometric methods, including the autoregressive distributed lag (ARDL) model and Johansen cointegration test, to analyze the relationships among these variables. the findings reveal that disposable income, household wealth, and government expenditure significantly and positively influence consumption, whereas interest rates show a negative correlation. oil revenues also play a critical role, reflecting the country’s economic reliance on oil. the study highlights the necessity for economic diversification to reduce the impact of oil price volatility on household income and consumption stability. The results offer crucial insights for policymakers, emphasizing the need for strategies that enhance household income and wealth, maintain robust public sector spending, and effectively manage interest rates. these findings also support the importance of consistent and predictable income sources for sustaining consumption. additionally, this study suggests directions for future research, including developing sophisticated forecasting models to predict consumption trends and exploring other influencing factors such as demographic shifts and technological progress.

Confidence ellipses for simple regression parameters with Quasi-associated random errors

The work presented in this paper introduces a novel methodology for constructing confidence regions for linear regression parameters using ellipses, particularly in cases where the random errors are quasi-associated. Linear regression is widely employed in statistical analysis to predict a dependent variable using one or more independent variables. Traditionally, it is assumed that random errors in regression models follow a normal distribution. However, this assumption may not hold in many practical applications where errors exhibit dependencies. Thus, this study focuses on quasi-associated random variables, which include both positively and negatively associated variables.We derive exponential inequalities that allow the construction of confidence ellipses for least squares estimates of model parameters. This approach is applied to a Keynesian consumption function, which models the relationship between consumption and national income. Using data on monthly per capita income in Africa over 12 years, we demonstrate the effectiveness of our method in estimating regression parameters when the random errors are quasi-associated. The findings show that this technique can improve the accuracy of statistical models used in fields such as economics and engineering, especially in cases where the traditional assumptions of regression analysis are not met.

Upper limb exoskeleton rehabilitation robot inverse kinematics modeling and solution method based on multi-objective optimization

The inverse kinematics problem of exoskeleton rehabilitation robots is challenging due to the lack of a standard analytical model, resulting in a complex and varied solution process. This complexity is especially pronounced in redundant upper limb exoskeleton robots, where inefficient solutions hinder the robot’s ability to adapt to the kinematic shape of the upper limb. This paper proposes a modeling and solution method based on multi-objective optimization to address the inverse kinematics of upper limb exoskeleton robots. We analyzed and validated this method using a redundant upper limb exoskeleton rehabilitation robot system developed by ourselves. First, we established a multi-objective inverse kinematics solution model by defining the end-position function, joint motion comfort function, system energy consumption function, motion safety, and human-like constraints. Then, the solution was designed based on the Improved Equilibrium Optimization (IEO) algorithm and validated its computational performance in terms of optimization ability, accuracy, and robustness. Finally, we experimentally tested the inverse kinematics solution model with the IEO algorithm on discrete objectives and continuous training trajectories using a redundant upper limb exoskeleton rehabilitation robot system. The results show that by incorporating the joint comfort function, system energy consumption function, and human-like constraints into the inverse kinematics model, we can not only quickly solve the inverse kinematics of redundant upper limb exoskeleton robots but also significantly improve the robot’s motion shape. Furthermore, it has better solution accuracy and stronger robustness than other algorithms when solving this inverse kinematics model based on the IEO algorithm.

Generalized mathematical model applied to a silica sand laboratory-controlled mill: Derivation of simplified ceramic ball entrance flux, ball wear consumption, and mass distribution functions

A laboratory-controlled milling process of silica sand was carried out using aluminum oxide balls of three different sizes. The ball wear kinetic equations were experimentally obtained from the evolution curves of the ball diameter as a function of the operating time. From a generalized model, the ball entrance flux and ball wear consumption were calculated using exact two-parameter solution functions. One-parameter ball entrance flux and ball wear consumption functions were proposed to perform calculations that accurately describe the values provided by the two-parameter functions. In addition, a compact form of the ball mass distribution function is found. This set of simplified equations can be suitable for fast calculations in the milling industry.

Why do refugees live near to each other? A utility-based model for spatial segregation of Syrian refugees in Türkiye: 2016–2023 period

PurposeThe main purpose of this research is to understand and explain the clustering and/or segregation patterns of the rapid, massive and unexpected flow of Syrian refugees to Türkiye.Design/methodology/approachThe analytical framework we use consists of three parts. In the first stage, we created a two-group model in which utility is assumed to be a function of consumption and the proportion of the population belonging to the same group living in their neighborhood. We show that equilibrium utility can be reduced to a univariate function that is the population proportion of the group to which one belongs. Then, with the help of a Python-based simulation, we analyze the redistribution dynamics of the groups and clustering patterns. In the final stage, we compute the dissimilarity index to determine the degree of clustering.FindingsAlthough the dilution policy has been implemented, a relatively high spatial segregation of refugees still exists. The dissimilarity index we compute using the latest data shows that almost half of Syrians need to be displaced for a homogeneous geographical distribution.Research limitations/implicationsBy obtaining neighborhood-based housing data, it will be possible to conduct a more detailed analysis at the city level. This will improve policymakers' understanding of refugee policy at both local and national levels.Originality/valueIt is the first study in which a dissimilarity index is computed for Syrian refugees in Türkiye.

Reprint of: How do households respond to income shocks?

We use panel data from the Italian Survey of Household Income and Wealth from 1991 to 2016 to document what components of the household budget constraint change in response to shocks to household labor income, both over shorter and over longer horizons. Consumption and wealth responses are informative about the household consumption (or savings) function and thus about what class of consumption-savings model best describes the data. Empirically, we first show that shocks to labor income are associated with negligible changes in transfers and non-labor income components, modest changes in consumption expenditures, and large changes in wealth. To understand the wealth response we then split households into a sample that does not own business or real estate wealth, and a sample that does. For the first group, we find that consumption responses are more substantial (and increasing with the horizon of the income shock) and wealth responses are much smaller (and mildly increasing with the income shock horizon). Turning to theory, we argue that for this group, a simple extension of the standard permanent income hypothesis (PIH) consumption function that allows for partial insurance against even permanent income shocks explains the consumption and wealth responses well, both at short and long horizons. For the second group with business wealth or real estate wealth the standard framework cannot explain the large changes in wealth associated with income shocks. We conclude that models which include shocks to the value of household wealth are necessary to fully evaluate the sources and consequences of household resource risk.

Reverse design for mixture proportions of recycled brick aggregate concrete using machine learning-based meta-heuristic algorithm: A multi-objective driven study

Construction and Demolition Wastes (CDW) have a significant impact on global waste streams. Brick waste stands out as a prominent type of CDW, and numerous studies have explored its recycling for the creation of environmentally-friendly concrete. Reverse design of recycled brick aggregate concrete (RBAC) mixture proportion is presented in this paper with a focus on four key objectives, that is: compressive strength, cost, and environmental elements (i.e., energy consumption and carbon emission). Based on compiled experimental datasets of 374 samples, the back propagation neural network (BP), random forest (RF), and four meta-heuristic algorithm optimization models were constructed to achieve the desired compressive strength objective. In all machine learning (ML) methods, the compressive strength of RBAC can be predicted with high accuracy, with the SSA-BP (optimized back propagation neural network model using the sparrow search algorithm) model achieving superior results (i.e., NSE=0.91, RPD=3.2). The SSA-BP is therefore used as the objective function for compressive strength. The economic objective is primarily influenced by material costs, and the objective functions of energy consumption and carbon emission are determined by various aspects of production, transportation, and their mixing processes. In order to obtain the optimal RBAC design, the Non-Dominated Sorting Genetic Algorithm (NSGA-III) was implemented considering imperative constraints. Results indicate that cement amount and recycled brick aggregate (RBA)-to-natural aggregate proportion have a positive impact on the compressive strength. The suggested design framework allows for the creation of RBAC composite designs with varying levels of RBA substitution rates and strength targets, providing valuable guidance for tackling the CDW challenge and optimizing RBA usage.

Gas–liquid mixing performance of a non‐Newtonian fluid in a multiple‐impeller agitated tank

AbstractBACKGROUNDThis target is to decide power input and gas hold‐up for gas–liquid mixing aqueous CMC solutions. The analysis considers the impact by varying the impeller speed and gas flow rates in a stirred tank bioreactor of three kinds of multiple impellers. The effects of the impeller type, rheology, and operating conditions were investigated on power drawn, relative power demand (RPD), gas holdup, and volumetric mass transfer coefficient.RESULTCompared to the Rushton turbine (6RT) and 4‐pitch blade (4PBT) impeller, the propeller (3PP) impeller presented a minimal event of the gassing on the RPD. 4PBT impeller has shown a higher gas hold‐up compared to the Rushton turbine and propeller impellers. The aerated agitated tank was established a dimensionless correlation for the RPD as a function of flow number and web number. Besides, the gas–liquid agitated system was also introduced a dimensionless correlation to compute the overall gas hold‐up as a function of specific power consumption. For the maximum dispersion mixing intensity, the impeller structure with low RPD looks to be more adequate. Further, maximizing gas holdup in the structures with high RPD is advantageous. The effects of impeller speed, gas superficial velocity, and rheology on the volumetric mass transfer coefficient were examined.CONCLUSIONThe volumetric mass transfer coefficient increased with an increase in impeller speed, gas superficial velocity, and power consumption per unit volume and decreased as rheology increased. The averaged kLa for each multiple‐impeller was correlated well with the specific gassed power consumption and gas superficial velocity. © 2024 Society of Chemical Industry (SCI).

Transcriptomic Signature of Spatial Navigation in Brains ofDesert Ants.

Navigation is crucial for central-place foragers to locate food and return to the nest. Cataglyphis ants are renowned for their advanced navigation abilities, relying on landmark cues and path integration. This study aims to uncover the transcriptomic basis of exceptional spatial learning in the central nervous system of Cataglyphis niger. Ants navigated a maze with a food reward, and we examined expression changes linked to correct decisions in subsequent runs. Correct decisions correlated with expression changes in the optic lobes, but not the central brain, showing a downregulation of genes associated with sucrose response and Creb3l1. The latter gene is homologous to Drosophila crebA, which is essential for long-term memory formation. To understand how ants use distance information during path integration, we analyzed expression shifts associated with the last distance traveled. We uncovered a transcriptomic footprint in the central brain, but not in the optic lobes, with genes enriched for energy consumption and neurological functions, including neuronal projection development, synaptic target inhibition, and recognition processes. This suggests that transcriptional activity in the central brain is necessary for estimating distance traveled, which is crucial for path integration. Our study supports the distinct roles of different brain parts for navigation in Cataglyphis ants.

Energy and time-aware scheduling in diverse virtualized cloud computing environments using optimized self-attention progressive generative adversarial network

ABSTRACT The rapid growth of cloud computing has led to the widespread adoption of heterogeneous virtualized environments, offering scalable and flexible resources to meet diverse user demands. However, the increasing complexity and variability in workload characteristics pose significant challenges in optimizing energy consumption. Many scheduling algorithms have been suggested to address this. Therefore, a self-attention-based progressive generative adversarial network optimized with Dwarf Mongoose algorithm adopted Energy and Deadline Aware Scheduling in heterogeneous virtualized cloud computing (SAPGAN-DMA-DAS-HVCC) is proposed in this paper. Here, a self-attention based progressive generative adversarial network (SAPGAN) is proposed to schedule activities in a cloud environment with an objective function of makespan and energy consumption. Then Dwarf Mongoose algorithm is proposed to optimize the weight parameters of SAPGAN. Outcome of proposed approach SAPGAN-DMA-DAS-HVCC contains 32.77%, 34.83% and 35.76% higher right skewed makespan, 31.52%, 33.28% and 29.14% lower cost when analysed to the existing models, like task scheduling in heterogeneous cloud environment utilizing mean grey wolf optimization approach, energy and performance-efficient task scheduling in heterogeneous virtualized Energy and Performance Efficient Task Scheduling Algorithm, energy and make span aware scheduling of deadline sensitive tasks on the cloud environment, respectively.

Teenage childbearing and the welfare state

Abstract Teenage childbearing is a common incident in developed countries. However, teenage births are much more likely in the USA than in any other industrialized country. Most of these births are delivered by female teenagers from low-income families. The hypothesis put forward here is that the welfare state (a set of redistributive institutions) has a significant influence on teenage childbearing behavior. We develop an economic theory of parental investments and the risky sexual behavior of teenagers. The model is estimated to fit stylized facts about income inequality, intergenerational mobility, and the sexual behavior of teenagers in the USA. The welfare state institutions are introduced via tax and public education expenditure functions derived from US data. In a quantitative experiment, we impose Norwegian taxes and education spending in the economic environment. The Norwegian welfare state institutions go a long way in explaining the differences in teenage birth rates between the USA and Norway.

EXPRESS: Association Between Magnesium Depletion Score and Anemia in Older Americans: A Cross-Sectional Study.

Some studies have indicated an association between serum magnesium and anemia, but these are primarily limited to research on serum magnesium. Few studies have explored the relationship between the bioavailability of magnesium and anemia. This study explores the association between the Magnesium Deficiency Score (MDS) and anemia among elderly Americans using data from the National Health and Nutrition Examination Survey (NHANES) 2009-2018. Anemia was defined based on World Health Organization criteria, and MDS was calculated considering factors such as the use of diuretics, proton pump inhibitors, alcohol consumption, and renal function status. A total of 3383 individuals were included in our study. Results showed a positive correlation between MDS and anemia, with higher MDS levels associated with increased anemia prevalence. Subgroup analyses revealed that this association was consistent across different genders, PIR, and smoking populations, with a notably strong correlation in the non-Hispanic White group. The study suggests that improving the bioavailability of magnesium to reduce MDS may be a factor in preventing anemia in the elderly. This is the first study to explore the relationship between MDS and anemia in this population, highlighting the potential role of magnesium bioavailability in anemia prevention. Further prospective studies are needed to confirm these results and explore the underlying mechanisms.

Note on fuel consumption in ocean container shipping: Bounds on fuel usage

This paper contributes to the literature by deriving upper and lower bounds on the fuel consumption in container shipping. The bounds are derived from sailing distances, port times, and the possible arrival times at ports/ the berth windows negotiated between the ocean carrier and the port operators. Crucially, the derived bounds can be used in conjunction with any of the common fuel consumption functions proposed in the literature. This latter is especially important since currently there is no consensus on a specific functional form for the fuel consumption function. The behavior of the bounds will be illustrated with numerical examples.

Physical education consumption and executive function among older empty nesters in urban community: A double mediation effects

ObjectiveThe main aim of this research was to determine the relationships among executive function, fitness mobile applications (APPs), physical exercise activity and physical education consumption in community-dwelling older empty nesters. MethodsA cross-sectional design was applied to evaluate the relationships. A sample of 1104 community-dwelling older empty nesters completed the experiments. Physical education consumption scale, fitness APPs by smartphone application scale, physical exercise activity scale, and executive function scale were applied for the evaluation of the elderly alone in urban communities in southeast China. To explore mediating effects, structural equation modeling of AMOS 23.0, SPSS 25.0 and Process V3.5 software packages were applied for statistical processing. ResultPhysical education consumption positively predicted executive function. Meanwhile, it was also found that physical education consumption and executive function were continuously mediated by fitness APP application and physical exercise activity, with indirect effect value of 0.267, accounting for 76 %. ConclusionThis research revealed how physical education consumption affected executive function of older empty nesters. The obtained results had certain implications for older empty nesters to better balance their executive function and life quality. Community managers should provide older empty nesters with favorable physical education environments in terms of positive physical and psychological environments, to improve their use ratio of fitness APPs usage and physical exercise activity, ultimately enhancing their executive function and life satisfaction.

Self-Assembled Aza-Boron-Dipyrromethene-Based H2S Prodrug for Synergistic Ferroptosis-Enabled Gas and Sonodynamic Tumor Therapies.

Glioblastoma multiforme (GBM) is the most aggressive and lethal subtype of gliomas of the central nervous system. The efficacy of sonodynamic therapy (SDT) against GBM is significantly reduced by the expression of apoptosis-inhibitory proteins in GBM cells. In this study, an intelligent nanoplatform (denoted as Aza-BD@PC NPs) based on the aza-boron-dipyrromethene dye and phenyl chlorothionocarbonate-modified DSPE-PEG molecules is developed for synergistic ferroptosis-enabled gas therapy (GT) and SDT of GBM. Once internalized by GBM cells, Aza-BD@PC NPs showed effective cysteine (Cys) consumption and Cys-triggered hydrogen sulfide (H2S) release for ferroptosis-enabled GT, thereby disrupting homeostasis in the intracellular environment, affecting GBM cell metabolism, and inhibiting GBM cell proliferation. Additionally, the released Aza-BD generated abundant singlet oxygen (1O2) under ultrasound irradiation for favorable SDT. In vivo and in vitro evaluations demonstrated that the combined functions of Cys consumption, H2S production, and 1O2 production induced significant death of GBM cells and markedly inhibited tumor growth, with an impressive inhibition rate of up to 97.5%. Collectively, this study constructed a cascade nanoreactor with satisfactory Cys depletion performance, excellent H2S release capability, and prominent reactive oxygen species production ability under ultrasound irradiation for the synergistic ferroptosis-enabled GT and SDT of gliomas.

A Collaborative Neurodynamic Optimization Approach to Distributed Chiller Loading.

In this article, we present a collaborative neurodynamic optimization approach to distributed chiller loading in the presence of nonconvex power consumption functions and binary variables associated with cardinality constraints. We formulate a cardinality-constrained distributed optimization problem with nonconvex objective functions and discrete feasible regions, based on an augmented Lagrangian function. To overcome the difficulty caused by the nonconvexity in the formulated distributed optimization problem, we develop a collaborative neurodynamic optimization method based on multiple coupled recurrent neural networks reinitialized repeatedly using a meta-heuristic rule. We elaborate on experimental results based on two multi-chiller systems with the parameters from the chiller manufacturers to demonstrate the efficacy of the proposed approach in comparison to several baselines.

Household Fuelwood Consumption and Its Implication for Carbon Dioxide Emission

This review paper aims to gather informative data on the impact of climate extremes on the physical environment, public health, and the livelihoods of people in Ethiopia. The primary sources of data for this review were peer-reviewed journal articles obtained from electronic databases such as PubMed, Central, Scopus, and Web of Science. Globally, the vast majority of households in developing countries depend on wood energy for their daily energy needs. Such consumption trends are expected to remain a common feature of traditional wood energy production and consumption, at least in the short- to medium-terms. This situation increases the demand for firewood and charcoal from the forest. The process of harvesting standing trees for charcoal and fire wood leads to forest degradation. Although woody biomass has the function of energy consumption, and as a source of income for rural villagers and urban poor dwellers practicing agriculture, wood energy generally has low priority in national policies of developing countries. However, unsustainable management and negative environmental consequences in humid and dry forests is derived from the use of fuel wood energy. Still now there is an unsystematic assessment of the economic contribution and environmental consequences of wood energy use, so its significance and consequences have been minimized. This deforestation and forest degradation contributes 1–2.4 Gt CO2e of greenhouse gases, which is 2–7% of global anthropogenic emissions, with global greenhouse gas emissions mostly CO2.

Consumption in the economy

This article aims to analyze and understand the aspects of consumption of a society, in economics and sociology, which indicate which direction it is heading in quality, but obeys instinct in its animality. The methodology used was readings of books, articles and other forms of knowledge about individual and family consumption. Hence, the summaries were analyzed in soliloquy, confronting with reality, put forward to understand the consumer's daily life. Some objectives are important in the consumption function, such as: the concept, the historical issue, time and the internet in inducing it to implement it. Thus, it is expected an aggregation of discussions in Universities, to understand how social consumption is conducted, which pleases at first glance and enters into line of use.