Search Results (826)

Nutritional factors play a crucial role in many gynecological disorders, particularly those influenced by estrogen. Uterine fibroids are benign tumors that affect a large proportion of women of reproductive age, especially between 30 and 40 years. These lesions may cause significant symptoms, including pelvic pain, heavy menstrual bleeding, and infertility. In younger women, the onset of fibroids is often associated with familial and genetic predisposition, whereas in adulthood, hormonal influences linked to environmental factors and states of exogenous or endogenous hyperestrogenism are more frequently observed. In both contexts, supportive management through an appropriate diet may provide clinical benefit. Although the precise pathogenesis remains incompletely understood, hormonal, genetic, and environmental components—particularly hyperestrogenism—are considered key contributors to fibroid development. Current evidence suggests that consumption of saturated fats, particularly from red meat and full-fat dairy, may raise circulating estrogen concentrations and contribute to the development of fibroids. In contrast, diets abundant in fiber, fruits, and vegetables appear to exert a protective effect, potentially lowering fibroid risk. Obesity, through increased aromatization and consequent estrogen production, also represents an established risk factor. This narrative review aims to explore the role of nutritional determinants in the onset and progression of uterine fibroids, with a specific focus on the impact of individual nutrients, foods, and dietary patterns on clinical outcomes. Particular emphasis is placed on obesity and macronutrient composition (e.g., high-fat versus high-fiber dietary regimens) as potential modulators of circulating estrogen levels and, consequently, fibroid growth dynamics. Furthermore, the potential of nutritional strategies as complementary therapeutic approaches, capable of integrating established clinical practices, is examined. Full article

Background/Objectives: Infant emotional responses during complementary feeding offer key insights into early developmental processes and feeding behaviors. AI-driven facial emotion analysis presents a novel, objective method to quantify these subtle expressions, potentially informing interventions in early childhood nutrition. We aimed to investigate how maternal and infant traits influence infants’ emotional responses during complementary feeding using an automated facial analysis tool. Methods: This multi-center study involved 117 typically developing infants (6–11 months) and their mothers. Standardized feeding sessions were recorded, and OpenFace software quantified six emotions (surprise, sadness, fear, happiness, anger, disgust). Data were normalized and analyzed via Generalized Estimating Equations to identify associations with maternal BMI, education, work status, and infant age, sex, and complementary feeding initiation. Results: Emotional responses did not differ significantly across five food groups. Infants of mothers with BMI > 30 kg/m² showed greater surprise, while those whose mothers were well-educated and not working displayed more happiness. Older infants and those introduced to complementary feeding before six months exhibited higher levels of anger. Parental or infant food selectivity did not significantly affect responses. Conclusions: The findings indicate that maternal and infant demographic factors exert a more pronounced influence on infant emotional responses during complementary feeding than the type of food provided. These results highlight the importance of integrating broader psychosocial variables into early feeding practices and underscore the potential utility of AI-driven facial emotion analysis in advancing research on infant development. Full article

The sugar alcohol erythritol occurs naturally in fruits and fermented foods, is used as a sweetener, and is also endogenously synthesized via the pentose-phosphate pathway and metabolized into erythronate. Untargeted metabolomic studies have associated elevated plasma erythritol and erythronate concentrations with metabolic disorders, while weight loss has been linked to decreased plasma erythritol concentrations. In this trial, two complementary analyses were performed to identify predictors of fasting erythritol and erythronate concentrations across different populations and to assess changes in these metabolites following bariatric surgery-induced weight loss. Fasting plasma samples from 30 lean adolescents, 50 lean adults, and 138 adults with obesity (including 15 who had undergone bariatric surgery) were analyzed to measure erythritol, erythronate, glucose, and insulin concentrations. Across all populations, age but not body mass index (BMI), glucose, or insulin, was a significant predictor of fasting erythritol concentrations. Fasting erythronate concentrations were associated with both age and BMI. Post-surgery, change in BMI but not fasting glucose or insulin was a predictor of changes in fasting erythritol concentrations, while time was the only predictor of changes in fasting erythronate concentrations. Although the metabolic processes regulating the endogenous erythritol and erythronate production remain unclear, our findings suggest that age-related physiological changes may influence fasting concentrations of both erythritol and erythronate. Full article

Mastic gum from Pistacia lentiscus L. has long been valued in Mediterranean medicine and food preservation, yet its bioactive potential remains underexplored in specific geographic contexts. In Morocco, the resin—locally known as Meska Horra—is abundant but insufficiently characterized. This study compared three extraction methods—cold maceration (CM), Soxhlet extraction (SE), and ultrasound-assisted extraction (UAE)—using sequential acetone and 70% ethanol to recover complementary phenolic compounds from defatted resin. Targeted UHPLC–ESI–MS/MS profiling identified and quantified 30 phenolics, mainly flavonoids and phenolic acids, providing the first systematic dataset for Moroccan mastic gum. UAE–EtOH extract displayed the strongest antioxidant activity (DPPH IC₅₀ = 0.029 mg/mL; ABTS•⁺ IC₅₀ = 0.026 mg/mL). SE–acetone and SE–EtOH extracts showed potent antifungal activity, particularly against Geotrichum candidum, Rhodotorula glutinis, and Aspergillus niger (MBC = 1.7%). The SE–acetone extract exhibited cytotoxicity toward MIA PaCa-2 pancreatic cancer cells (IC₅₀ = 19 µg/mL). These findings demonstrate that extraction method and solvent choice strongly influence phenolic recovery and associated bioactivities, supporting the valorization of Moroccan mastic gum as a promising source for nutraceutical and pharmaceutical applications. Full article

Sectoral vulnerability to distinct crisis types in small, open, and geopolitically exposed markets—such as Jordan—remains insufficiently quantified, constraining targeted policy design and portfolio allocation. This study’s primary purpose is to establish a transparent, comparable metric of sector-level market resilience that reveals how crisis typology reorders vulnerabilities and shapes recovery speed. Applying this framework, we assess Jordan’s equity market across three archetypal episodes—the Global Financial Crisis, the Arab Spring, and COVID-19—to clarify how shock channels reconfigure sectoral risk. Using daily Amman Stock Exchange sector indices (2001–2025), we estimate $GARCH\left(\mathrm{1,1}\right)$ models for each sector–crisis window and summarize volatility dynamics by persistence $(\alpha +\beta )$, interpreted as an inverse proxy for resilience; complementary diagnostics include maximum drawdown and days-to-recovery, with nonparametric (Kruskal–Wallis) and rank-based (Spearman, Friedman) tests to evaluate within-crisis differences and cross-crisis reordering. Results show pronounced heterogeneity in every crisis and shifting sectoral rankings: financials—especially banking—display the highest persistence during the GFC; tourism and transportation dominate during COVID-19; and tourism/electric-related industries are most persistent around the Arab Spring. Meanwhile, food & beverages, pharmaceuticals/medical, and education recurrently exhibit lower persistence. Higher persistence aligns with slower post-shock normalization. We conclude that resilience is sector-specific and contingent on crisis characteristics, implying targeted policy and portfolio responses; regulators should prioritize liquidity backstops, timely disclosure, and contingency planning for fragile sectors, while investors can mitigate crisis risk via dynamic sector allocation and volatility-aware risk management in emerging markets. Full article

Background/Objectives: Accurate estimation of caloric intake from breastfeeding is essential for understanding infant nutrition during early life. However, most existing models rely on fixed assumptions and do not reflect the natural variability in feeding behaviors and human milk composition. This study aims to provide a realistic estimation of breast milk (BM) caloric intake throughout infancy using a probabilistic approach based on empirical data. Methods: A probabilistic model was developed using four variables: feeding frequency, volume per feeding, caloric density, and infant weight. Systematic reviews were conducted to inform the input values of the first three variables, and meta-analyses were performed when feasible. Infant weight was based on World Health Organization (WHO) growth standards. Variables were stratified by age and integrated into the model through appropriate probability distributions. Monte Carlo simulations were conducted to estimate caloric intake per kilogram of body weight, expressed both per day and per feeding, across all age groups. Results: The model showed a progressive decline in daily caloric intake per kilogram with age, consistent with decreasing feeding frequency and the introduction of complementary foods. In contrast, caloric intake per feeding increased with age. These findings align with WHO energy intake targets during exclusive breastfeeding and reflect expected physiological changes in infant growth and feeding behavior. Conclusions: This study provides a probabilistic framework for estimating BM caloric intake across infancy, accounting for interindividual and age-related variability. It offers a valuable research tool to support future studies on infant nutrition and feeding behavior using realistic, data-driven assumptions. Full article

Calcium nitrate tetrahydrate, used in fertilizers, wastewater treatment, and concrete admixtures, has limited toxicity data despite extensive industrial use. This study evaluated its repeated-dose and reproductive/developmental toxicity in Sprague Dawley rats following OECD TG 422, which combines TG 407 and 421 to extend dosing than TG 407 and reduce animal use compared with separate studies. Rats were administered 0, 100, 300, or 1000 mg/kg/day. Males were treated for 49 days and females from 2 weeks pre-mating to postpartum day 13; the recovery group was observed for an additional 2 weeks. Endpoints included clinical signs, body weight, food consumption, hematology, serum biochemistry, organ weights, histopathology, reproductive performance, and F1 development. No systemic toxicity was observed in F0 males. Minimal prostate atrophy occurred in high-dose males but was considered non-adverse due to limited severity. One high-dose female died on PPD 1, and high-dose F1 litters showed decreased litter size, increased post-implantation loss, and a reduced live-born index. Based on these results, NOAELs were cautiously assigned 1000 mg/kg/day for repeated-dose and male reproductive toxicity and 300 mg/kg/day for female reproductive and developmental toxicity. TG 422 efficiently characterized hazards while reducing animal use, though its limited duration and scope indicate the need for complementary studies. Full article

Background/Objectives: Breastfeeding is the best source of food for newborns. Leading health organizations recommend exclusive breastfeeding for the first 6 months of life, followed by the gradual introduction of complementary foods. Evidence shows that breastfeeding offers numerous benefits for newborns, mothers, society as a whole, and the environment. Current breastfeeding rates fall below the established recommendations. This study aims to describe breastfeeding rates at hospital discharge and one month postpartum, analyze fluctuations in feeding types during this period, and identify any characteristics, preventive factors, and barriers to breastfeeding and mixed feeding. Methods: This is a multicenter observational study in the North Metropolitan area of Barcelona, with 411 participants surveyed by midwives. Results: In total, 79% of women were exclusively breastfeeding, 14% practiced mixed breastfeeding, and 7% used formula feeding at hospital discharge. At one month postpartum, these rates fluctuated to 64%, 23%, and 13%, respectively. Factors such as older age, having a university education, having 16 weeks of parental leave, and having a foreign-born status were positively associated with exclusive breastfeeding, while mental illness was associated with a lower prevalence. The use of breastfeeding accessories was not significantly associated with fluctuations in feeding type, but it was associated with maintaining mixed feeding. Conclusions: It is essential to implement individual and community interventions, educate healthcare professionals on factors that hinder breastfeeding, and promote workplace policies that support breastfeeding. Full article

The temporal dominance of sensations (TDS) and temporal liking (TL) methods offer complementary insights into the evolution of sensory and hedonic responses during food consumption. This study investigates the feasibility of predicting TL curves for food pairings from their TDS profiles using reservoir computing, a type of recurrent neural network. Participants evaluated eight samples—two crackers (plain, sesame), two spreads (peanut butter, strawberry jam), and their four binary combinations—performing both TDS and TL evaluations. This process yielded paired time-series data of TDS and TL curves. We trained various reservoir models under different conditions, including varying reservoir sizes (64, 128, 192, or 256 neurons) and the inclusion of auxiliary input dimensions, such as flags indicating the types of foods tasted. Our results show that models with minimal auxiliary inputs achieved the lowest root mean squared errors (RMSEs), with the best performance being an RMSE of 0.44 points on a 9-point liking scale between the observed and predicted TL curves. The ability to predict TL curves for food pairings holds some promise for reducing the need for extensive sensory evaluation, especially when a large number of food combinations are targeted. Full article

While mechanical dewatering is widely used in faecal sludge treatment, the agricultural potential of mechanically dewatered faecal sludge (MDFS) combined with anaerobic digestion (AD) remains underexplored, particularly in sub-Saharan Africa where nutrient recovery is critical for food security. This study provides the first comprehensive characterisation of MDFS from Ghana’s largest treatment facility and evaluates anaerobic digestion effectiveness for agricultural application. Over six months, 182 composite MDFS samples from Lavender Hill Faecal Treatment Plant were analysed for physicochemical properties, nutrients, heavy metals, and microbial contaminants before and after AD treatment. MDFS demonstrated exceptional nutrient density, with total nitrogen (2141.05 mg/kg), phosphorus (190.08 mg/kg), and potassium (4434.88 mg/kg) concentrations comparable to commercial organic fertilisers. AD achieved significant pathogen reduction, decreasing total coliforms from 148,808.70 to 493.33 cfu/100 g (p < 0.001) and Ascaris lumbricoides eggs from 12.08 to 3.33 eggs/L, while maintaining nutrient integrity and keeping heavy metals within safe agricultural limits. Statistical modelling revealed a significant correlation between treatment duration and pathogen reduction efficiency. Despite substantial improvements, treated MDFS still exceeded some regulatory thresholds, indicating a need for complementary post-treatment strategies. This research establishes AD as an effective primary treatment for converting MDFS into a nutrient-rich organic fertiliser, supporting circular economy principles in urban sanitation systems and providing a sustainable pathway for agricultural nutrient recovery in resource-constrained settings. Full article

Accurate prediction of food delivery time is crucial for enhancing operational efficiency and customer satisfaction in real-world logistics and intelligent dispatch systems. To address this challenge, this study proposes a novel symmetric optimization prediction framework, termed SymOpt-CNSVR. The framework is designed to leverage the strengths of both deep learning and statistical learning models in a complementary architecture. It employs a Convolutional Neural Network (CNN) to extract and assess the importance of multi-feature data. An Enhanced Superb Fairy-Wren Optimization Algorithm (ESFOA) is utilized to optimize the diverse hyperparameters of the CNN, forming an optimal adaptive feature extraction structure. The significant features identified by the CNN are then fed into a Support Vector Regression (SVR) model, whose hyperparameters are optimized using Bayesian optimization, for final prediction. This combination reduces the overall parameter search time and incorporates probabilistic reasoning. Extensive experimental evaluations demonstrate the superior performance of the proposed SymOpt-CNSVR model. It achieves outstanding results with an R² of 0.9269, MAE of 3.0582, RMSE of 4.1947, and MSLE of 0.1114, outperforming a range of benchmark and state-of-the-art models. Specifically, the MAE was reduced from 4.713 (KNN) and 5.2676 (BiLSTM) to 3.0582, and the RMSE decreased from 6.9073 (KNN) and 6.9194 (BiLSTM) to 4.1947. The results confirm the framework’s powerful capability and robustness in handling high-dimensional delivery time prediction tasks. Full article

Background /Objectives: The rising prevalence of metabolic disorders, such as obesity, is linked to increased consumption of high-calorie foods and sedentary lifestyles. While conventional treatments rely on lifestyle modifications and pharmaceuticals, these often have limitations and adverse effects. As an alternative, natural compounds like β-caryophyllene (BCP), found in spices such as black pepper and cloves, have gained interest due to their anti-inflammatory and metabolic properties. This study investigated the effects of BCP on the gut–brain axis in obese C57BL/6J mice. Methods: Quantitative real-time PCR (RT-qPCR) was performed using a Rotor-GeneQ thermocycler (Qiagen). Relative gene expression levels were normalized to the reference gene’s transcript levels (2^−∆∆Ct method). Results: BCP was found to modulate key receptors, including FFAR3, LEPR, and GHSR, which are involved in appetite regulation and insulin sensitivity. Its action on the CNR2 (CB2 receptor) suggests additional benefits in energy balance and anorexigenic activity. Conclusions: These findings support BCP’s potential as a complementary therapy for obesity, though further studies are needed to confirm its efficacy in humans. Its safety profile and multifactorial effects make it a promising alternative to conventional treatments. Full article

Ensuring the surface quality of fresh soybeans is critical for maintaining their commercial value and consumer confidence. However, traditional manual inspection remains labor-intensive, subjective, and inadequate for real-time, high-throughput sorting. In this study, we present a multi-scale attention-augmented You Only Look Once version 8 (YOLOv8) framework tailored for real-time surface defect detection in fresh soybeans. The proposed model integrates two complementary attention mechanisms—Squeeze-and-Excitation (SE) and Multi-Scale Dilated Attention (MSDA)—to enhance the detection of small, irregular, and low-contrast defects under complex backgrounds. Rather than relying on cross-model comparisons, we perform systematic ablation studies to evaluate the individual and combined contributions of SE and MSDA across diverse defect categories. Experimental results from a custom-labeled soybean dataset demonstrate that the integrated SE+MSDA model achieves superior performance in terms of precision, recall, and Mean Average Precision (mAP), particularly for challenging categories such as wormholes and speckles. The proposed framework provides a lightweight, interpretable, and deployment-ready solution for intelligent agricultural inspection, with potential applicability to broader food quality control tasks. Full article

Subsistence hunting remains vital for food security and cultural identity in the Amazon, but its sustainability is uncertain. In Loreto, Peru, hunters often target commercially valuable species such as paca (Cuniculus paca), collared peccary (Pecari tajacu), and red brocket deer (Mazama americana). Other species, including the nine-banded armadillo (Dasypus novemcinctus), are commonly eaten but rarely sold, suggesting potential as “subsistence-only” game. We conducted weekly interviews with 19 hunters in the Indigenous Maijuna community of Sucusari from 2018 to 2019, recording 671 hunting events. Market-preferred species dominated sales, while armadillos accounted for 14 kills (58 kg) and only 0.22% of sales. Complementary camera trap surveys in 2023 (7259 trap nights) recorded 410 independent detections of armadillos. A multiseason occupancy model indicated high occupancy (98.0%, 95% CI: 91.2–99.7%) across the basin, with positive associations with palm density and elevation, and no evidence of reduced occupancy under hunting pressure. These results suggest armadillos are both widespread and resilient, supported by their unique reproductive strategy of producing four genetically identical offspring per pregnancy. Promoting subsistence use of resilient species like armadillos could enhance local food security while reducing pressure on vulnerable taxa, aligning conservation and livelihood goals in Amazonian communities. Full article

Background: Phenylketonuria (PKU) is an inherited metabolic disorder that requires early diagnosis and strict phenylalanine (Phe)-restricted diet to prevent neurocognitive impairment. Various infant feeding models have been used to achieve optimal metabolic control during early life. The aim of this study was to compare two different feeding models for infants with classical PKU in terms of metabolic control, growth parameters, micronutrient status, the process of introducing complementary foods, and with a particular focus on sleep quality. Methods: In this prospective observational study, 26 infants with classical PKU were followed for 12 months. Patients were assigned to one of two feeding groups: Group-1 received breast milk and Phe-free formula in alternating feeds, while Group-2 received Phe-free formula followed by breastfeeding until satiety. Blood Phe, micronutrient levels and anthropometric measurements were recorded. Sleep quality was evaluated using the Brief Infant Sleep Questionnaire-Revised (BISQ-R). A structured set of parental questions was used to evaluate their experiences during the complementary feeding period. Results: No statistically significant differences were observed between the groups in terms of blood Phe levels, anthropometric measurements, serum levels of iron, ferritin, vitamin-B12, vitamin-D, and zinc. Complementary feeding tolerance were similar across the groups. The BISQ-R analysis revealed no significant differences between the groups. Conclusions: Both feeding models were equally effective in maintaining metabolic control, supporting normal growth, complementary feeding processes, and preserving sleep quality during infancy. These findings suggest that either approach can be adopted based on the preference of the caregiver and the practicality of the clinical setting. Full article