Hasil untuk "Home economics"

Zhiqin Zhang, Yongke Deng, Jingxuan Wang et al.

This study identified three novel anti-inflammatory peptides from sea cucumber gonad hydrolysates: GDRGF, FDGPEGPRGPPGSEGRQG, and PSNLGTGLR. In vitro experiments demonstrated that these peptides, at concentrations ranging from 25 to 400 μg/mL, exhibited no cytotoxicity toward RAW264.7 macrophages and significantly promoted cell proliferation (P < 0.05). In an lipopolysaccharide (LPS)-induced inflammation model, all three peptides markedly suppressed the secretion of nitric oxide (NO) and pro-inflammatory cytokines (P < 0.05), with GDRGF exhibiting the highest NO inhibition rate of 62.89%. Molecular docking results confirmed that the three peptides interact with Toll-like receptors 2 and 4 receptors via hydrogen bonding and hydrophobic interactions. Analysis of key residues suggested that internal or C-terminal arginine (R) may enhance anti-inflammatory activity by inhibiting NO production and blocking LPS signaling pathways. This study provides an efficient screening strategy for marine-derived anti-inflammatory peptides and lays a theoretical foundation for developing anti-inflammatory functional foods from sea cucumber gonads.

Yukun Zhang, Tianyang Zhang

This paper develops a micro-founded economic theory of the AI industry by modeling large language models as a distinct asset class-Digital Intelligence Capital-characterized by data-compute complementarities, increasing returns to scale, and relative (rather than absolute) valuation. We show that these features fundamentally reshape industry dynamics along three dimensions. First, because downstream demand depends on relative capability, innovation by one firm endogenously depreciates the economic value of rivals' existing capital, generating a persistent innovation pressure we term the Red Queen Effect. Second, falling inference prices induce downstream firms to adopt more compute-intensive agent architectures, rendering aggregate demand for compute super-elastic and producing a structural Jevons paradox. Third, learning from user feedback creates a data flywheel that can destabilize symmetric competition: when data accumulation outpaces data decay, the market bifurcates endogenously toward a winner-takes-all equilibrium. We further characterize conditions under which expanding upstream capabilities erode downstream application value (the Wrapper Trap). A calibrated agent-based model confirms these mechanisms and their quantitative implications. Together, the results provide a unified framework linking intelligence production upstream with agentic demand downstream, offering new insights into competition, scalability, and regulation in the AI economy.

Ruonan Zhao, Xu Zhao, Rongqiang Zhang

Navjot Kaur, Hamid, Pintu Choudhary et al.

The review aims to explore the utilization of hydrogels in the food industry, specifically focusing on their capacity to encapsulate bioactive compounds for enhancing food safety, quality, and health benefits. Hydrogels, with their unique capacity to incorporate various bioactive agents such as antioxidants, antimicrobials, and probiotics, are emerging as transformative tools in the development of functional foods. These hydrogels offer numerous advantages, including the preservation of food quality and the controlled release of encapsulated compounds. Their responsiveness to environmental stimuli allows for targeted release, which is crucial for optimizing the efficacy and shelf-life of bioactive substances. Research indicates that bioactive-loaded hydrogels have versatile applications across different areas of the food industry. They play a critical role in food preservation by stabilizing flavors and preventing spoilage through the delivery of antimicrobial agents. Additionally, hydrogels are being explored for their potential in food packaging, where they can help maintain freshness and extend the shelf-life of products. The review underscores the benefits of hydrogels in protecting bioactive compounds from degradation, enhancing their bioavailability, and facilitating a controlled, sustained release. This functionality not only improves the effectiveness of these compounds but also maximizes their health benefits.

Wenxiu Pan, Wenxiu Pan, Yawen Yang et al.

BackgroundThe C-reactive protein-albumin-lymphocyte (CALLY) index serves as an established prognostic biomarker across multiple severe disease cohorts. Nevertheless, limited research has examined its relationship with overall survival among elderly Japanese individuals experiencing dysphagia.ObjectiveTo evaluate the prognostic utility of the CALLY index for overall survival in a cohort of elderly Japanese patients with dysphagia.MethodsWe conducted a retrospective single-center cohort study of 248 patients diagnosed with dysphagia between January 2014 and January 2017. The primary outcome was overall survival. The CALLY index was analyzed both continuously (natural log transformation) and by quartiles. Multivariable Cox proportional hazards models adjusted for relevant demographic, clinical, and nutritional covariates (including age, sex, comorbidities, hemoglobin, feeding modality, and daily caloric intake) were used to estimate hazard ratios (HR) and 95% confidence intervals (CI). Restricted cubic spline models assessed dose–response relationships. Kaplan–Meier analysis estimated median survival by CALLY quartile; subgroup analyses examined effect modification.ResultsAfter natural log transformation, the CALLY index was independently associated with improved survival (HR = 0.85, 95%CI: 0.76–0.95, p = 0.003). Using the lowest quartile (Q1) as reference, adjusted HR were 0.73 (95%CI: 0.46–1.16, p = 0.179) for Q2, 0.56 (95%CI: 0.34–0.90, p = 0.018) for Q3, and 0.44 (95%CI: 0.25–0.78, p = 0.005) for Q4. Restricted cubic spline analysis indicated a positive, approximately linear relationship between the CALLY index and overall survival. Median survival times were 887, 785, 362, and 153 days for Q4, Q3, Q2, and Q1, respectively. Subgroup analyses showed no significant interactions across prespecified strata.ConclusionIn this cohort of elderly Japanese patients with dysphagia, a higher CALLY index was associated with longer overall survival. These findings support the potential prognostic utility of the CALLY index in this population; prospective and multicentre validation is warranted.

Dian Vita Sari, Fatmawati Fatmawati, Junaedy Junaedy

Malnutrition remains a global challenge with far-reaching health and developmental implications. Indonesia continues to experience a high prevalence of stunting, reaching 31.8%, which highlights the need for effective and sustainable interventions. This study aimed to evaluate the effectiveness of a locally based intervention utilizing Metroxylon sp. (aren sago) and Moringa oleifera (moringa leaves) as complementary food additives combined with maternal nutrition education in reducing stunting. A quasi-experimental study was conducted in North Aceh in July 2025, involving 128 mothers and their stunted children aged 6–24 months old. The intervention consisted of nutrition education on complementary foods made with sago and moringa leaves, delivered through modules and videos, along with a four-week provision of complementary foods. Data were analyzed using the Wilcoxon signed-rank test. The findings demonstrated a significant improvement in the nutritional status of children, with the proportion classified as having a good nutritional status increasing from 43.0% to 84.4%, and no cases of severe malnutrition were identified (p < 0.05). Maternal nutrition knowledge also improved, with 35.2% achieving a “good” score (p < 0.05). In conclusion, locally sourced food-based interventions combined with nutrition education effectively improve children’s nutritional status and strengthen maternal knowledge. This approach is recommended as a contextual and sustainable strategy for stunting prevention

Federico Felizzi

We investigate the economic impact of controlling the pace of aging through biomarker monitoring and targeted interventions. Using the DunedinPACE epigenetic clock as a measure of biological aging rate, we model how different intervention scenarios affect frailty trajectories and their subsequent influence on healthcare costs, lifespan, and health quality. Our model demonstrates that controlling DunedinPACE from age 50 onwards can reduce frailty prevalence, resulting in cumulative healthcare savings of up to CHF 131,608 per person over 40 years in our most optimistic scenario. From an individual perspective, the willingness to pay for such interventions reaches CHF 6.7 million when accounting for both extended lifespan and improved health quality. These findings suggest substantial economic value in technologies that can monitor and modify biological aging rates, providing evidence for both healthcare systems and consumer-focused business models in longevity medicine.

Xinyu Li

This paper analyzes the economic impact of China's retaliatory soybean tariff on U.S. soybean farmers using advanced econometric methods and comprehensive datasets including USDA reports, trade data, and historical price movements. The analysis employs a Structural Vector Autoregression (SVAR), a Difference-in-Differences (DiD) estimation, and a Dynamic Stochastic General Equilibrium (DSGE) model, revealing the impacts of China's retaliatory tariff on soybean prices, exports, farm incomes, and acreage decisions. U.S. policy responses, including direct subsidies and market diversification strategies, are also evaluated.

Ilias Aarab

A growing empirical literature suggests that equity-premium predictability is state dependent, with much of the forecasting power concentrated around recessionary periods (Henkel et al., 2011; Dangl and Halling, 2012; Devpura et al., 2018). I study U.S. stock return predictability across economic regimes and document strong evidence of time-varying expected returns across both expansionary and contractionary states. I contribute in two ways. First, I introduce a state-switching predictive regression in which the market state is defined in real time using the slope of the yield curve. Relative to the standard one-state predictive regression, the state-switching specification increases both in-sample and out-of-sample performance for the set of popular predictors considered by Welch and Goyal (2008), improving the out-of-sample performance of most predictors in economically meaningful ways. Second, I propose a new aggregate predictor, the Aligned Economic Index, constructed via partial least squares (PLS). Under the state-switching model, the Aligned Economic Index exhibits statistically and economically significant predictive power in sample and out of sample, and it outperforms widely used benchmark predictors and alternative predictor-combination methods.

Bumned Soodchomshom

We propose a field-theoretic framework that models money-debt dynamics in economic systems through a direct analogy to particle-hole creation in condensed matter physics. In this formulation, issuing credit generates a symmetric pair-money as a particle-like excitation and debt as its hole-like counterpart-embedded within a monetary vacuum field. The model is formalized via a second-quantized Hamiltonian that incorporates time-dependent perturbations to represent real-world effects such as interest and profit, which drive asymmetry and systemic imbalance. This framework successfully captures both macroeconomic phenomena, including quantitative easing (QE) and gold-backed monetary regimes, and microeconomic credit creation, under a unified quantum-like formalism. In particular, QE is interpreted as generating entangled-like pairs of currency and bonds, exhibiting systemic correlations akin to nonlocal quantum interactions. Asset-backed systems, on the other hand, are modeled as coherent superpositions that collapse upon use. This approach provides physicists with a rigorous and intuitive toolset to analyze economic behavior using many-body theory, laying the groundwork for a new class of models in econophysics and interdisciplinary field analysis.

F.G. Pan, J. Liu, J.X. Yang et al.

Vegetable oil phospholipids can be divided into hydratable phospholipids (HP) and non-hydratable phospholipids (NHP). The general process of alkali refining or hydration degumming can remove most of the phospholipids, and the rest is mainly non-hydratable phospholipids. A non-hydratable phospholipid has obvious hydrophobicity, which cannot be completely removed even after 16 times of washing, so the non-hydratable phospholipid is the main research target of vegetable oil degumming. In order to better understand and study the non-hydratable phospholipids, the chemical composition and origin of non-hydratable phospholipids in vegetable oil are discussed. The advantages and disadvantages of these various detection and removal methods are analyzed in this paper.

Seymur Garibov, Wadim Strielkowski

Climate change, deforestation, and biodiversity loss are calling for innovative approaches to effective reforestation and afforestation. This paper explores the integration of artificial intelligence and remote sensing technologies for optimizing tree planting strategies, estimating labor requirements, and determining space needs for various tree species in Gabala District of Azerbaijan. The study employs YOLOv8 for precise identification of potential planting sites and a Retrieval-Augmented Generation approach, combined with the Gemini API, to provide tailored species recommendations. The methodology incorporates time-series modeling to forecast the impact of reforestation on CO2 emissions reduction, utilizing Holt-Winters for predictions. Our results indicate that the AI model can effectively identify suitable locations and species, offering valuable insights into the potential economic and environmental benefits of large-scale tree planting thus fostering sustainable economic development and helping to mitigate the adverse effects of global warming and climate change.

EFSA Panel on Food Contact Materials, Enzymes and Processing Aids (CEP), Claude Lambré, José Manuel Barat Baviera et al.

Abstract The food enzyme catalase (hydrogen‐peroxide:hydrogen‐peroxide oxidoreductase; EC 1.11.1.6) is produced with the non‐genetically modified Aspergillus tubingensis strain AE‐CN by Amano Enzyme Inc. The absence of viable cells of the production organism in the food enzyme was not demonstrated. The food enzyme is intended to be used in five food manufacturing processes: production of baked products, processing of egg and egg products, production of fruit and vegetable products other than juices, production of cheese and production of fish roes. The dietary exposure to the food enzyme total organic solids (TOS) was estimated to be up to 0.325 mg TOS/kg body weight (bw) per day in European populations. The results of the in vitro genotoxicity studies indicated the presence of a clastogenic agent in the food enzyme which could not be dismissed due to limitations in the in vivo studies. The systemic toxicity was assessed by means of a repeated dose 90‐day oral toxicity study in rats. The Panel identified a no observed adverse effect level of 323 mg TOS/kg bw per day, the highest dose tested. A search for the similarity of the amino acid sequence of the food enzyme to known allergens was made and one match was found. The Panel considered that the risk of allergic reactions by dietary exposure cannot be excluded, but the likelihood is low. Because of the results of the genotoxicity studies, and as the absence of viable cells from the production strain was not demonstrated, the Panel was unable to establish the safety of the food enzyme.

Zhicen Liu

Energy supply is mandatory for the production of economic value. Nevertheless, tradition dictates that an enigmatic 'invisible hand' governs economic valuation. Physical scientists have long proposed alternative but testable energy cost theories of economic valuation, and have shown the gross correlation between energy consumption and economic output at the national level through input-output energy analysis. However, due to the difficulty of precise energy analysis and highly complicated real markets, no decisive evidence directly linking energy costs to the selling prices of individual commodities has yet been found. Over the past century, the US metal market has accumulated a huge body of price data, which for the first time ever provides us the opportunity to quantitatively examine the direct energy-value correlation. Here, by analyzing the market price data of 65 purified chemical elements (mainly metals) relative to the total energy consumption for refining them from naturally occurring geochemical conditions, we found a clear correlation between the energy cost and their market prices. The underlying physics we proposed has compatibility with conventional economic concepts such as the ratio between supply and demand or scarcity's role in economic valuation. It demonstrates how energy cost serves as the 'invisible hand' governing economic valuation. Thorough understanding of this energy connection between the human economic and the Earth's biogeochemical metabolism is essential for improving the overall energy efficiency and furthermore the sustainability of the human society.

Junjie Zhao

The study of US-China relations has always been a crucial topic in our economic development [4][5][7], and the US presidential election plays an integral role in shaping these relations. The presidential election is held every four years, and it is crucial to assess the impact of the 2020 election on China to prepare for the potential effects of the 2024 US presidential election on the Chinese economy [8][16][20]. To achieve this, we have gathered statistical data from nearly 70 years and analyzed data related to the US economy. We have classified the collected data and utilized the analytic hierarchy process [1][2][3] to evaluate the President's policy implementation.This approach allowed us to obtain a comprehensive ranking of the indicators [6][9][11][33]. We then quantified the index data and employed the entropy weight method to calculate the weight of each index data. Finally, we used the weighted total score calculation to evaluate the economic status of the United States in a hierarchical manner after the election of Presidents Trump and Biden [15][18]. We optimized the index system by incorporating additional dimension indexes such as "foreign policy". We then crawled China's specific development data from 1990-2020 and substituted it into the model for analysis and evaluation. This enabled us to obtain detailed quantitative index data of the degree of influence [10][12][14]. To address China's shortcomings in science and technology innovation, we recommend strengthening economic cooperation with developed countries, diversifying market development, and actively expanding the domestic market through feasible solutions [13][16][23][36].

Lia Amanda, Karin Nadia Utami, Andria Amanda Pulungan et al.

Background: Diarrhea is still a common health problem in Indonesia, with high morbidity and mortality rate. The severity of diarrhea is associated with age, nutritional status, and cause of diarrhea. This study aims to describe the characteristics and laboratory findings, particularly stool analysis, in pediatric patients with diarrhea.  Methods: A retrospective study was conducted using data from patients aged 0 to 18 with diarrhea who underwent stool analysis in Cipto Mangunkusumo Hospital between 2012 and 2016.  Results: The average age of children with diarrhea was 45 months, with most patients (55,6%) being under two years old children. More than half of the patients were boys (58.8%). Two-thirds of the patients (67%) presented with watery stool diarrhea. The interpretation of stool analysis indicated that nearly half of the patients (48%) experienced diarrhea due to bacterial infection, followed by fat malabsorption (20.8%). Similar results were also seen in the stool analysis of children aged 0-24 months, with the prevalence of bacterial infection (35.2%) and fat malabsorption (30.2%) being the most commonly identified etiology of diarrhea.  Conclusion: In Indonesia, children under two and male gender were more frequently reported to experience diarrhea. The primary manifestation of pediatric diarrhea was watery stools, while the most common etiology was bacterial infections.

Huafeng Jian, Huafeng Jian, Huafeng Jian et al.

Non-alcoholic fatty liver disease (NAFLD) is a chronic and metabolic liver disease and commonly occurs in humans with obesity and type 2 diabetes mellitus (T2DM); such a condition also exists in animals such as rodents and laying hens. Since the pathogenesis of fatty liver hemorrhagic syndrome (FLHS) of laying hens is similar to human NAFLD, hen's FLHS is commonly selected as a study model of NAFLD. Altered circulating amino acids, particularly elevated branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs), are consistently reported in patients with NAFLD and T2DM. How long-term dietary individual BCAA, such as valine, impacts amino acid and fatty acid metabolism remains unknown. In this study, we demonstrated that when laying hens are fed with dietary valine at different levels (59, 0.64, 0.69, 0.74, and 0.79%) in a feeding trial that lasted for 8 weeks, long-term exposure to excessive valine diets at 0.74 and 0.79% levels could induce amino acid imbalance, impair amino acid metabolism, increase fatty acid synthesis, and inhibit fatty acid utilization. Long-term intake of excessive dietary valine could result in impaired amino acid metabolism via inhibiting C/EBP-β/asparagine synthetase (Asns). This process is mediated by downregulating the general control nonderepressible-eukaryotic initiation factor 2α- activating transcription factor (GCN2-eIF2α-ATF4) pathway and elevating corresponding circulating BCAAs and AAAs levels, which could ultimately result in amino acid imbalance. High levels of dietary valine stimulated lipid deposition by suppressing the GCN2-eIF2α-ATF4-fibroblast growth factor-19 (FGF19)-target of rapamycin complex 1 (TORC1) signaling pathway to promote fatty acid synthesis, repress fatty acid utilization, and eventually accelerate the development of NAFLD. The Spearman correlation analysis revealed that circulating amino acid imbalance is significantly associated with fatty acid metabolism disorder and enhanced oxidative stress. The inhibition of the GCN2-TORC1 pathway induced autophagy suppression to trigger liver oxidative stress and inflammatory response. In conclusion, our results revealed the adverse metabolic response to excessive dietary valine mediated by amino acid and fatty acid metabolism disorders. This study also suggested reducing dietary valine as a novel approach to preventing and treating NAFLD in humans and FLHS in laying hens.

Ang Li, Jin Wang, Ruixin Kou et al.

Obesity is a major public health issue worldwide. Oolong tea (OT), which is partially fermented from Camellia sinensis leaves, has proven health benefits and potential preventive applications in multiple studies. However, research on the role of OT in obesity prevention and potential mechanisms is still limited. The purpose of this study was to investigate the modulatory effects of OT intervention on high-fat diet (HFD)-induced obesity and gut microbiota dysbiosis using an obese mouse model. Our results showed that 8-week OT supplementation with 93.94% polyphenols significantly decreased body weight gain, adipose tissue mass, and serum levels of triglyceride (2.60 mmol/L), cholesterol (5.49 mmol/L), and low-density lipoprotein cholesterol (0.61 mmol/L) in HFD-fed mice. Meanwhile, OT intervention was observed to improve fat accumulation, hepatic damage, glucose intolerance, and endotoxemia and alleviate inflammation by decreasing the levels of pro-inflammatory factors. OT also upregulated the expression of genes including Srebf1, Ppara, Lxra, Pgc1a, and Hsl and downregulated the expression of genes including Leptin, Il-6, and Il-1b. In addition, the gut dysbiosis characterized by decreased flora diversity and increased Firmicutes/Bacteroidetes ratio in obese mice was recovered by OT intervention. Certain differentially abundant microbes caused by HFD feeding, including Enterococcus, Intestinimonas, Blautia, and Bilophila, were also improved by OT treatment. This study demonstrated that OT, as a novel resource of dietary polyphenols, exhibited a protective effect on HFD-induced obesity and gut microbiota disorder.

Jing Sun, Xinyu Zhong, Dandan Sun et al.

Polysaccharides recovered from extraction residue of ginseng root saponins, i.e., ginsenosides-extracting residue polysaccharides (GRP), were separated into two fractions, GRP-1 and GRP-2. Fourier infrared and nuclear magnetic resonance spectra, as well as high-performance liquid chromatography and gel permeation chromatography measurements, showed GRP-1 was composed of mainly starch-like glucans and GRP-2, relatively a smaller portion, was a mixture of heteropolysaccharides composed of starch-like glucans, rhamnogalacturonan-I pectin, and arabinogalactans, and they had similar molecular weights. These results proved that the structure of GRP was not destroyed and GRP still maintained strong antioxidant activities. In addition, GRP coating on surfaces of fruit slowed their deterioration and maintained their nutritional effects. Correlation and PCA analyses on various quality and antioxidant parameters supported the above findings and a possible mechanism in fruit preservation was then proposed. Knowing the structural features and bioactivities of GRP gives insights into its application. Specifically, GRP served as an environmentally friendly coating that can be used to preserve the nutrients and other quality indicators of strawberries and fresh-cut apples, paving the way for future new approaches to food preservation using polysaccharides or other natural products.

Cadmiel Moldovan, Oleg Frumuzachi, Mihai Babotă et al.

BackgroundShallot (Allium ascalonicum L.) is a traditional plant species used throughout the world both for culinary purposes and as a folk remedy. To date (i.e., April 2022), there is no report on the main pharmacological activities exerted by shallot preparations and/or extracts.Scope and ApproachThe aim of this study was to comprehensively review the pharmacological activities exerted by shallot, with rigorous inclusion and exclusion criteria based on the scientific rigor of studies. Prisma guidelines were followed to perform the literature search.Key Findings and ConclusionsThe literature search yielded 2,410 articles of which 116 passed the required rigorous criteria for inclusion in this review. The extracts exert a potent antioxidant activity both in vitro and in vivo, as well as a strong inhibitory capacity on various pathogens with relevant implications for public health. Moreover, shallot can be used as adjuvant therapy in cardiovascular diseases, diabetes, cancer prevention, and other non-communicable diseases associated with inflammatory and oxidative pathways. Future studies investigating the chemical composition of this species, as well as the molecular mechanisms involved in the empirically observed pharmacological actions are required.