Hasil untuk "Home economics"

Mingfeng Lin, S. Viswanathan

Kate Raworth

Prashant Garg, Thiemo Fetzer

As economics scales, a key bottleneck is representing what papers claim in a comparable, aggregable form. We introduce evidence-annotated claim graphs that map each paper into a directed network of standardized economic concepts (nodes) and stated relationships (edges), with each edge labeled by evidentiary basis, including whether it is supported by causal inference designs or by non-causal evidence. Using a structured multi-stage AI workflow, we construct claim graphs for 44,852 economics papers from 1980-2023. The share of causal edges rises from 7.7% in 1990 to 31.7% in 2020. Measures of causal narrative structure and causal novelty are positively associated with top-five publication and long-run citations, whereas non-causal counterparts are weakly related or negative.

Viktor Stojkoski, César A. Hidalgo

Efforts to apply economic complexity to identify diversification opportunities often rely on diagrams comparing the relatedness and complexity or products, technologies, or industries. Yer, the use of these diagrams is not based on empirical or theoretidal evidence supporting some notion of optimality. Here, we introduce an optimization-based framework that identifies diversification opportunities by minimizing a cost function capturing the constraints imposed by an economy's pattern of specialization. We show that the resulting portfolios often differ from those implied by relatedness-complexity diagrams, providing a target-oriented optimization layer to the economic complexity toolkit.

Pedro Afonso Fernandes

The main goal of this article is to introduce an economic perspective in the social logic of space. Firstly, we describe the economic model of a linear city to show how depth can generate value by creating local monopolies in less integrated spaces. Then, a new syntactic measure, the d-value, is proposed to capture the relation between the depth of some space from outside and the mean depth of all spaces from outside. An application to a public housing estate suggests that economic activities and services may be located in spaces with a d-value close to one. The article is complemented by a Prolog programme with a special predicate to compute the d-value.

Yihang Wang, Chunsen Wu, Guodong Liu et al.

BackgroundCompared to common rice, soft rice is characterized by low amylose content, soft and elastic texture, and low retrogradation of cold rice. However, the differences of quality deteriorate during aging between soft rice and common rice are still unclear.MethodsIn this study, representative soft rice varieties (NJ9108 and NJ46) were chosen as research subjects, and YJ7081 and HD5 were chosen as control. The changes of their components and quality during aging were comprehensively investigated.ResultsDuring aging, the total starch, fat, and protein content of soft rice decrease, while the amylose content increases. The short-range ordered structure of soft rice starch and the secondary structure of proteins gradually degrade with the extension of aging time. In addition, the relative crystallinity of soft rice starch gradually decreases during the aging process. After aging for 24 M, the average taste value of soft rice decreased by 14.86, and the average 2-AP content decreased by 167.82 ng/g. The average taste value of common rice decreased by 12.52, and the average 2-AP content decreased by 140.42 ng/g.ConclusionCompared to common rice, the component contents and the starch short-range ordered structure characteristics of soft rice exhibited more pronounced changes, leading to increased deterioration of cooking, eating, and aroma qualities during aging.

Elyse S. Czapalay, Yasamin Soleimanian, Jarvis A. Stobbs et al.

Cellulosic scaffolds filled with oil were designed to replicate animal adipose tissues. Many plants are structured as polysaccharide-based cellular solids. They maintain their integrity after drying, can serve as a scaffold for incorporating fat, and do not lose integrity upon heating, thus resembling native adipose tissue. Carrots, broccoli, and asparagus were freeze-dried and subsequently filled with peanut oil, its glycerolysis product (GP), and the oleogel of this GP. Oleogel-filled scaffolds displayed high oil binding capacity (≥95%), and an oil loss resembling that of adipose tissue. In addition, the texture of oleogel-filled asparagus and broccoli tissue closely resembled that of beef and pork adipose tissues, respectively. Plant scaffolds closely emulated the temperature-dependent rheological behavior of adipose tissue. These new materials could significantly improve the quality of plant-based meat analogues, such as burgers and sausages, by preventing the thermal softening of the material upon cooking and excessive oil loss.

Marco E Toc Sagra, Peter Weng, Diego V Bohórquez

Carla Gonçalves, Carla Gonçalves, Carla Gonçalves et al.

Patricia Baudier, Chantal Ammi, Matthieu Deboeuf-Rouchon

Abstract In the coming years, cities face an urban transition in order to manage their resources, public administration, safety, regional economics, education, innovation, health, culture, and entertainment an efficient way. The Smart City concept includes several smart dimensions relating to the environment, mobility, the economy, governance, people, and living. This study explores the impact of Smart home dimensions on highly-educated students, drawn from what is known as the “digital native” population, one of the key components of the smart living concept. As digital natives are already engaged with the adoption of new technologies and sustainable development, we have postulated that they would be keen to use smart technologies in the home that could improve their daily life while preserving the environment. This study tests a scale developed to measure consumer perception of the Smart Home Concept (SHC) and the impact on “Performance Expectancy” and “Habit”. The model was built using some of the constructs of existing technology acceptance models, such as the UTAUT2 and TAM2 models. Based on our findings, digital natives seem ready to adopt the SHC and our results highlight the fact that Smart Home products could be targeted at this specific population.

M. Roman, A. Plopeanu

In this paper, we aim to identify the determinants of online effective learning in the emergency situation created by COVID19 pandemic. Further, we test which of the learning methods (traditional, online, and hybrid) is preferred by Romanian students in economics in this unusual context. Using a sample of 1415 students from five major Romanian faculties of economics and applying ordinal and bivariate logit regressions models, we found that psychological distress and increased concerns about COVID-19 pandemic have a negative effect on learning effectiveness. Also, our results revealed that the students who face problems related to unsatisfactory internet access, insufficient time due to other familial issues, who have inadequate working space at home and also the male ones are more likely to be less effective in their online learning process. Finally, the university infrastructure for online activities decreases the likelihood that students will perceive online studies as less effective.

N. S. Gonchar

To implement the previously formulated principles of sustainable economic development, all non-negative solutions of the linear system of equations and inequalities, which are satisfied by the vector of real consumption, are completely described. It is established that the vector of real consumption with the minimum level of excess supply is determined by the solution of some quadratic programming problem. The necessary and sufficient conditions are established under which the economic system, described by the "input-output" production model, functions in the mode of sustainable development. A complete description of the equilibrium states for which markets are partially cleared in the economy model of production "input-output" is given, on the basis that all solutions of system of linear equations and inequalities are completely described. The existence of a family of taxation vectors in the "input-output" model of production, under which the economic system is able to function in the mode of sustainable development, is proved. Restrictions were found for the vector of taxation in the economic system, under which the economic system is able to function in the mode of sustainable development. The axioms of the aggregated description of the economy is proposed.

Carlo Bottai, Jacopo Di Iorio, Martina Iori

Economic growth results from countries' accumulation of organizational and technological capabilities. The Economic and Product Complexity Indices, introduced as an attempt to measure these capabilities from a country's basket of exported products, have become popular to study economic development, the geography of innovation, and industrial policies. Despite this reception, the interpretation of these indicators proved difficult. Although the original Method of Reflections suggested a direct interconnection between country and product metrics, it has been proved that the Economic and Product Complexity Indices result from a spectral clustering algorithm that separately groups similar countries or similar products, respectively. This recent approach to economic and product complexity conflicts with the original one and treats separately countries and products. However, building on previous interpretations of the indices and the recent evolution in spectral clustering, we show that these indices simultaneously identify two co-clusters of similar countries and products. This viewpoint reconciles the spectral clustering interpretation of the indices with the original Method of Reflections interpretation. By proving the often neglected intimate relationship between country and product complexity, this approach emphasizes the role of a selected set of products in determining economic development while extending the range of applications of these indicators in economics.

Tutut Rizki Indriyani, Atika Rahmawati, Luthfiani Khoirunnisa et al.

Background: Obesity is still become a serious problem today. Obesity is caused by excessive adipose tissue. One of many factors that contribute to a person's obesity is food intake. Excess carbohydrate and fat intake will be stored in the form of triglycerides in adipose tissue. In the meantime, Low-Carb Diet (LCD) and Low-Fat Diet (LFD) are one of the most popular treatments on obesity. However there are many pros and cons related to each diet based on several studies. Objectives: The indicated study aims to determine the effectiveness of LCD and LFD on body composition in people with obesity. Methods: The study was conducted through journal and literature review, based on five journal publications, filtered by related keywords. In accordance to inclusion and exclusion criteria within the last ten years in Pubmed/Medline database, Science Direct, and Wiley Online Library with the keywords "Low-Carb Diet", "Low-Fat Diet", "Body Mass Index", "Lipid Levels", "Adipose Tissue", "Obese", and "Body Water". Discussion: Total body mass and fat mass decreased significantly after being given LCD intervention compared to LFD. The group that was given two dietary interventions also losing weight, but there was no changes in body water. In addition, negative effects were found from the LCD and LFD interventions such as constipation, fatigue, polyuria, nausea, vomiting, changes in appetite, and headaches. Kidney failure, ketosis, and premature coronary artery also occurred in the group that was given with LCD intervention. Conclusions: LCD and LFD interventions can affect body composition of people with obesity.

Rahele Sadeghzadeh, Fatemeh Rafieian, Mahdi Keshani et al.

Pseudomonas aeruginosa is a Gram-negative human pathogenic bacterium that has the ability to form multicellular biofilm (BF) communities. Due to the presence of extracellular polymeric substances, BF protects bacteria from unfavorable environmental conditions and causes their resistance to antimicrobial substances. The presence of BF in the food industry has become a great threat to food safety. Conventional disinfection technologies are inappropriate for effective BF control due to the resistances created to them and the toxic residues for humans and the environment that they leave behind. Therefore, it is necessary to understand more about the formation and development of BF and environmentally friendly methods to remove BF from food and equipment in contact with food. This review article describes BF formation, its resistance mechanisms to antimicrobial agents, and BF development. Also, novel and effective strategies involved in BF removal are discussed including physical methods (plasma, pulsed electric field and ultrasonication), physicochemical method (electrolyzed water), biological methods (enzymes and bacteriophages), natural compounds such as essential oils, and application of nanomaterials.

Kunio Miyake, Sayaka Horiuchi, Ryoji Shinohara et al.

BackgroundAnimal studies have shown that maternal low-fiber diets during pregnancy may impair brain development and function in offspring, but this has not been validated by epidemiological studies. The aim of this study was to investigate the link between maternal dietary fiber intake during pregnancy and neurodevelopmental delay in offspring using a large birth cohort.MethodsA total of 76,207 mother-infant pairs were analyzed using data from the Japan Environment and Children's Study, a nationwide prospective cohort study. Maternal dietary fiber intake was estimated using the food frequency questionnaire in mid-pregnancy. Maternal dietary fiber intake was adjusted for energy and classified into quintiles. Developmental delay was assessed in five domains using the Japanese version of the Ages and Stages Questionnaire, Third Edition at the age of 3 years. The logistic regression analysis was performed to estimate the odds ratio (OR) and 95% confidence interval (CI) for the link between dietary fiber intake during pregnancy and developmental delay at the age of 3 years.ResultsThe lowest intake group of total dietary fiber had a higher risk of delayed communication [adjusted OR (aOR), 1.51; 95% CI, 1.32–1.74], fine motor (aOR, 1.45; 95% CI, 1.32–1.61), problem-solving (aOR, 1.46; 95% CI, 1.32–1.61), and personal-social skills (aOR, 1.30; 95% CI, 1.12–1.50) than did the highest intake group. An analysis that excluded the effects of insufficient folic acid intake during pregnancy also showed a similar trend.ConclusionThis study showed that maternal dietary fiber deficiency during pregnancy might influence an increased risk of neurodevelopmental delay in offspring.

ZHANG Tongwei, CUI Yufeng, MAO Weifeng et al.

ObjectiveTo assess the impact of reducing sodium content in instant noodles on sodium intake levels among instant noodle consumers under different scenarios， the dietary sodium intake level of instant noodle consumers in China was analyzed.MethodsData were collected from the special monitoring of sodium content in instant noodles and other foods. According to the consumption data of various foods from China Food Consumption Survey from 2017 to 2020， the simple distribution model was used to evaluate the daily dietary sodium intake and distribution of instant noodle consumers， and the contribution rate of different foods. Four scenarios were to reduce the sodium content of instant noodles by 10% or 20%， and 1/2 or 1/3 instant noodles seasoning bag.ResultsThe average sodium content in instant noodle samples was 2 129.30 mg/100 g， and the average dietary sodium intake of instant noodle consumers was 5 462.68 mg/d. The average dietary sodium intake of all age groups was more than 2 000 mg/d （WHO）， and the average dietary sodium intake of 98.53% instant noodle consumers exceeded the proposed intakes for preventing non-communicable chronic diseases value of the corresponding age group. Condiments were the main source of dietary sodium intake of instant noodles consumers， and the contribution of instant noodles was about 12.69%. 1/3 instant noodles seasoning bags could reduce the total sodium intake of instant noodle consumers by 6.74%.ConclusionThe sodium intake level of instant noodles consumers in China was still at a high level. By reducing the sodium content of instant noodles or reducing the amount of condiment package， the sodium intake level of the population could be reduced to a certain degree. This study provided scientific results reference for the domestic instant noodle industry to reduce salt （sodium）.

Thomas J. Sargent, John Stachurski

This textbook is an introduction to economic networks, intended for students and researchers in the fields of economics and applied mathematics. The textbook emphasizes quantitative modeling, with the main underlying tools being graph theory, linear algebra, fixed point theory and programming. The text is suitable for a one-semester course, taught either to advanced undergraduate students who are comfortable with linear algebra or to beginning graduate students.

Pietro Biroli, Titus J. Galama, Stephanie von Hinke et al.

Economists and social scientists have debated the relative importance of nature (one's genes) and nurture (one's environment) for decades, if not centuries. This debate can now be informed by the ready availability of genetic data in a growing number of social science datasets. This paper explores the potential uses of genetic data in economics, with a focus on estimating the interplay between nature (genes) and nurture (environment). We discuss how economists can benefit from incorporating genetic data into their analyses even when they do not have a direct interest in estimating genetic effects. We argue that gene--environment (GxE) studies can be instrumental for (i) testing economic theory, (ii) uncovering economic or behavioral mechanisms, and (iii) analyzing treatment effect heterogeneity, thereby improving the understanding of how (policy) interventions affect population subgroups. We introduce the reader to essential genetic terminology, develop a conceptual economic model to interpret gene-environment interplay, and provide practical guidance to empirical researchers.

Jun Ding, Qi Liu, Ze Liu et al.

BackgroundEpidemiological studies have investigated the associations of dietary iron, copper, and selenium level with metabolic syndrome (MetS). However, their results are conflicting. This meta-analysis of observational study was, therefore, employed to investigate the associations above.MethodsA comprehensive literature search was employed using PubMed, Web of Science, Embase, and Scopus database up to October 2021 (no restriction was set for the initiate time). The pooled relative risk (RR) of MetS for the highest vs. lowest dietary iron, copper, and selenium level was estimated, respectively.ResultsA total of 14 observational studies (55,131 participants) were identified as meeting the inclusion criteria. Specifically, 7 studies were related to the dietary iron level. The overall multivariable adjusted RR demonstrated that the dietary iron level was positively associated with MetS (RR = 1.27, 95% CI: 1.12–1.44; p < 0.001). With regard to the dietary copper level, 7 studies were included for meta-analysis. The overall multivariable adjusted RR showed that the dietary copper level was inversely associated with MetS (RR = 0.85, 95% CI: 0.78–0.93; p < 0.001). In addition, 4 studies were specified for the dietary selenium level. The overall multivariable adjusted RR indicated that the dietary selenium level was inversely associated with MetS (RR = 0.77, 95% CI: 0.63–0.95; p = 0.01) as well.ConclusionOur results suggest that the dietary iron level is positively associated with MetS, whereas a negative association between the dietary copper and selenium level and MetS is obtained. Further large well-designed prospective cohort studies are warranted to elaborate on the issues examined in this study.