Influence of phytoplankton, bacteria and viruses on nutrient supply in tropical waters.

Diel investigations of water environments are one means to holistically understand the dynamics and functional roles of phytoplankton, bacteria and viruses in these ecosystems. They have the potential to substantially impact carbon (C), nitrogen (N) and phosphorus (P) biogeochemistry through their respective roles. This study characterizes the phytoplankton, bacteria and virus communities and the elemental composition of various C, N and P nutrients flow over three diel cycles in tropical urban lake. Our results show that ratios of C:N:P fluctuated strongly from the lack of dissolved organic phosphorus (DOP) and PO4. Specifically, green algae peaked during day time and exudate dissolved organic matter (DOM) that strongly modulate dissolved organic carbon (DOC):DOP ratio to diel DOP limitation. Multiple linear regression and Stella modelling emphasize the roles of viruses together with Synechococcus as important nutrient recyclers of NH4 and PO4 in nutrients-limited waters. Respective normalised surface PO4 and combined surface and bottom NH4 concentration selected both viruses and Synechococcus as important drivers. Process model of N and P biogeochemical cycles can achieve 69% and 57% similar to observed concentration of NH4 and PO4, respectively. A short latent period of 9 hr was calculated, in addition to the calibrated high infectivity of viruses to Synechococcus. Taken together, the rapid turn-over between Synechococcus and viruses has biogeochemical significance, where the rapid recycling of essential nutrients allows for shortcuts in the N and P cycle, supporting a wide range of microbes.

Planting density effect on poplar growth traits and soil nutrient availability, and response of microbial community, assembly and function.

BACKGROUND: The interaction between soil characteristics and microbial communities is crucial for poplar growth under different planting densities. Yet, little is understood about their relationships and how they respond to primary environmental drivers across varying planting densities. RESULTS: In this study, we investigated poplar growth metrics, soil characteristics, and community assembly of soil bacterial and fungal communities in four poplar genotypes (M1316, BT17, S86, and B331) planted at low, medium, and high densities. Our findings reveal that planting density significantly influenced poplar growth, soil nutrients, and microbial communities (P < 0.05). Lower and medium planting densities supported superior poplar growth, higher soil nutrient levels, increased microbial diversity, and more stable microbial co-occurrence networks. The assembly of bacterial communities in plantation soils was predominantly deterministic (ßNTI < -2), while fungal communities showed more stochastic assembly patterns (-2 < ßNTI < 2). Soil available phosphorus (AP) and potassium (AK) emerged as pivotal factors shaping microbial communities and influencing bacterial and fungal community assembly. Elevated AP levels promoted the recruitment of beneficial bacteria such as Bacillus and Streptomyces, known for their phosphate-solubilizing abilities. This facilitated positive feedback regulation of soil AP, forming beneficial loops in soils with lower and medium planting densities. CONCLUSIONS: Our study underscores the critical role of planting density in shaping soil microbial communities and their interaction with poplar growth. This research carries significant implications for enhancing forest management practices by integrating microbiological factors to bolster forest resilience and productivity.

Causal relationship between fertility nutrients supplementation and PCOS risk: a Mendelian randomization study.

Background: Polycystic ovary syndrome (PCOS), a prevalent endocrine disorder in women of reproductive age, is mainly ameliorated through drugs or lifestyle changes, with limited treatment options. To date, numerous researchers have found that fertility nutrient supplements may benefit female reproductive health, but their direct impact on polycystic ovary syndrome risk remains unclear. Methods: Our research employs Mendelian Randomization to assess how fertility nutrients affect PCOS risk. Initially, we reviewed 49 nutrients and focused on 10: omega-3 fatty acids, calcium, dehydroepiandrosterone, vitamin D, betaine, D-Inositol, berberine, curcumin, epigallocatechin gallate, and metformin. Using methodologies of Inverse Variance Weighting and Mendelian Randomization-Egger regression, we examined their potential causal relationships with PCOS risk. Results: Our findings indicate omega-3 fatty acids reduced PCOS risk (OR=0.73, 95% CI: 0.57-0.94, P=0.016), whereas betaine increased it (OR=2.60, 95% CI: 1.09-6.17, P=0.031). No definitive causal relations were observed for calcium, dehydroepiandrosterone, vitamin D, D-Inositol, and metformin (P>0.05). Drug target Mendelian Randomization analysis suggested that increased expression of the berberine target gene BIRC5 in various tissues may raise PCOS risk (OR: 3.00-4.88; P: 0.014-0.018), while elevated expressions of curcumin target gene CBR1 in Stomach and epigallocatechin gallate target gene AHR in Adrenal Gland were associated with reduced PCOS risk (OR=0.48, P=0.048; OR=0.02, P=0.018, respectively). Conclusions: Our research reveals that specific fertility nutrients supplementation, such as omega-3 fatty acids, berberine, and curcumin, may reduce the risk of PCOS by improving metabolic and reproductive abnormalities associated with it.

Genetic Signature of a Healthy Lifestyle: New Horizons for Preventing Noncommunicable Chronic Diseases by Modulating MicroRNA-155.

The development and progression of several noncommunicable diseases (NCDs) are associated with microRNA (miR) 155 (miR-155) activation, which promotes inflammation and oxidative stress. In particular, miR-155 regulates nuclear transcription factor-kappa B (NF-κB) by silencing gene expression of proteins involved in NF-κB suppression, such as suppressor of cytokine signaling 1 (SOCS1) and SH-2 containing inositol 5' polyphosphate 1 (SHIP1), increases the production of reactive oxygen species, and suppresses gene expression of antioxidant enzymes through nuclear factor erythroid 2-related factor 2 (Nrf2) inhibition. In this context, a healthy lifestyle based on a diet rich in nutrients and bioactive compounds as well as regular physical activity may modulate the activity of several miRs. Following this concept, studies involving nutrients, bioactive compounds, and physical activity have been developed to modulate miR-155 activation. This narrative review aims to discuss how a healthy lifestyle based on a diet rich in nutrients, bioactive compounds, and physical activity may modulate the miR-155 pathway and consequently prevent the development and progression of NCDs. Nutrients and bioactive compounds from food may act by inhibiting pathways that promote miR-155 activation such as NF-κB and promote activation of pathways that are associated with the downregulation of miR-155, such as Nrf2, and SOCS1 pathways. Regular physical activity also seems to influence miR-155 levels through an improvement in the immune system during muscle recovery. There is relevant evidence that shows a positive effect of nutrients, bioactive compounds, and physical activity with the modulation of miR-155, which can potentially provide benefits in the clinical setting in cases of NCDs.

Municipal and industrial wastewater blending: Effect of the carbon/nitrogen ratio on microalgae productivity and biocompound accumulation.

Municipal wastewater (MW) and industrial wastewater from juice processing (IWJ) were blended in different proportions to assess the effect of the carbon/nitrogen (C/N) ratio on pollutant removal, microalgal biomass (MB) cultivation, and the accumulation of carotenoids and biocompounds. MB development was not observed in treatments with higher C/N ratios (>30.67). The wastewater mixture favored the removal of dissolved organic carbon (75.61 and 81.90%) and soluble chemical oxygen demand (66.78-88.85%), compared to the treatment composed exclusively of MW (T7). Treatments T3 and T6 (C/N ratio equal to 30.67 and 7.52, respectively) showed higher Chlorophyll-a concentrations, 1.47 and 1.54 times higher than T7 (C/N ratio 1.75). It was also observed that the C/N ratio of 30.67 favored the accumulation of carbohydrates and lipids (30.07% and 26.39%, respectively), while the C/N ratio of 7.52 improved protein accumulation (33.00%). The fatty acids C16:0, C18:1, C18:2, and C18:3 had the highest concentrations. Additionally, increasing the C/N ratio can be an efficient strategy to improve the production of fatty acids for biofuels, mainly due to the increased concentration of shorter-chain fatty acids (C16:0). These findings suggest that blending wastewater not only enhances treatment performance but also increases the accumulation of valuable carbohydrates and lipids in MB, and optimizes fatty acid production for biofuel applications. This research represents significant progress towards feasibility of using MB produced from wastewater.

Evidence for a hydrogen sulfide-sensing E3 ligase in yeast.

In yeast, control of sulfur amino acid metabolism relies upon Met4, a transcription factor that activates the expression of a network of enzymes responsible for the biosynthesis of cysteine and methionine. In times of sulfur abundance, the activity of Met4 is repressed via ubiquitination by the SCFMet30 E3 ubiquitin ligase, but the mechanism by which the F-box protein Met30 senses sulfur status to tune its E3 ligase activity remains unresolved. Herein, we show that Met30 responds to flux through the trans-sulfuration pathway to regulate the MET gene transcriptional program. In particular, Met30 is responsive to the biological gas hydrogen sulfide, which is sufficient to induce ubiquitination of Met4 in vivo. Additionally, we identify important cysteine residues in Met30's WD-40 repeat region that sense the availability of sulfur in the cell. Our findings reveal how SCFMet30 dynamically senses the flow of sulfur metabolites through the trans-sulfuration pathway to regulate the synthesis of these special amino acids.

Iodine Deficiency as a Risk Factor for Postpartum Depressive Disorder in Women.

Nutritional support is considered as one of the components of disease-modifying therapy for postpartum depressive disorder. Such nutrients include iodine, which is an important trace element in the development and functioning of the central nervous system. The brief review presents updated knowledge about the relationship of iodine deficiency with the development and severity of postpartum depressive disorders in women, based on the analysis and generalization of the results of domestic and international studies.

A matter of the metric? Sugar content overestimation is less pronounced in sugar cubes versus grams.

To make healthy food choices, consumers need to be aware of the sugar content of foods. Units act as an environmental cue that might influence sugar content estimation accuracy. The present study (1) tested whether estimations of sugar content are more accurate in sugar cubes vs grams, (2) compared accuracy of sugar content to estimations of the foods' weight and energy content, and (3) investigated gender, education, and body mass index as potential correlates. A sample of 886 adults was randomly assigned to estimating the sugar content of 10 common foods in grams or cubes. Estimations of sugar content diverged considerably from actual values in both groups (0.22 ≤ Cohen's dsgrams ≤ 1.20; 0.20 ≤ Cohen's dscubes ≤ 1.10), but were more pronounced for sugar content estimations in grams in 7 out of 10 foods (ts ≥ 4.04, Ps < .001, Cohen's ds ≥ 0.14). Sugar content misestimation was somewhat more pronounced than misestimation of weight (0.05 ≤ Cohen's ds ≤ 1.43) and energy content (0.04 ≤ Cohen's ds ≤ 1.19). Relationships between sugar content misestimation and gender (0.00 ≤ Cohen's ds ≤ 0.33), education (-0.07 ≤ r ≤ 0.11), and body mass index (-0.08 ≤ r ≤ 0.06) were mostly negligible. Although sugar content estimations were somewhat more accurate in sugar cubes vs grams, estimation accuracy is generally low. In addition to promoting consumers' knowledge through labeling and education, additional avenues for interventions might need to be explored for sizeable effects on food choices.

Systemic immune-inflammation states in US adults with seropositivity to infectious pathogens: A nutrient-wide association study.

BACKGROUND: Limited understanding exists regarding the association between daily total dietary nutrient intakes and immune-inflammation states in US adults exposed to various pathogens. This study sought to examine the correlation between nutrient intakes and immune-inflammation indicators and to assess their performance in distinguishing immune-inflammation states. METHODS: This study was derived from the National Health and Nutrition Examination Survey (NHANES), which included 33,804 participants aged 20 years or older between 2005 and 2018. Multivariable linear regression and restricted cubic spline regression were conducted to evaluate the association between nutrient intakes and immune-inflammation indicators. Receiver operating characteristic curve analysis was performed to evaluate the discriminatory performance of identified nutrients for various immune-inflammation states measured by the systemic immune-inflammation index (SII). RESULTS: Ten key nutrients were significantly associated with immune-inflammation responses, including calcium, saturated fatty acid (SFA) 4:0, SFA 6:0, SFA 12:0, SFA 14:0, SFA 16:0, vitamin B2, total SFAs, retinol, and lutein + zeaxanthin, which show potential as dietary indicators. The area under the curve for discriminating various immune-inflammation states was improved by at least 0.03 compared with a model that included only covariates, with all P values <0.05 in the Delong tests, indicating a significant enhancement in model performance. CONCLUSIONS: Ten nutrients, including calcium, various SFAs, vitamin B2, retinol, and lutein + zeaxanthin, exhibit significant association with SII and potential as dietary indicators for distinguishing between different immune-inflammation states in US adults with seropositivity to various viruses.

Water volumes and mulches affect plant growth, leaf nutrient status and orchard soil mineral content of sweet orange cv. Mosambi.

Day-by-day increasing irrigation water scarcity requires the application of water-saving irrigation techniques to sustain agriculture production. A two-year field investigation was conducted during 2018 to 2020 to determine the effects of various mulches and irrigation volumes on the growth, leaf chemicals and soil properties of one-year-old sweet oranges (Citrus sinensis) cv. Mosambi. The study included three irrigation schedules, viz.100% ETc (I1), 80% ETc (I2), and 60% ETc (I3), and five different mulches were used, viz. without mulch, white polythene, coriander straw, dry grass and black polythene mulches, replicated thrice. Results demonstrated that drip irrigation with 100% ETc and mulching with black polythene mulch significantly increase the plant growth attributes like height of the plant (28.64%) (30.31%), rootstock girth (36.61%) (37.90%), plant canopy spread (E-W and N-S) (EW- 63.82%, NS- 63.87%) (EW- 67.56%, NS- 67.90%) and leaf area (2.4%) (2.34%). Furthermore, plant leaf chlorophyll content (2.41 mg g-1) (2.41 mg g-1) and leaf mineral content such as N (2.39%) (2.40%), P (0.16%) (0.165%), K (1.57%) (1.59%), Ca (47.34 g kg-1) (47.80 g kg-1), Mg (4.54 g kg-1) (4.57 g kg-1), Fe (120.51 g kg-1) (123.15 g kg-1) and Zn (39.00 g kg-1) (37.84 g kg-1) were noted to be significantly (p ≤ 0.05) higher in plants that received 100% (were ETc (I1) and mulching with black polythene mulch (M1) treatment. Taken together, the results suggested that treatments I1 and M1 have the potential to maximize plant growth, leaf chemicals and soil nutrients of sweet orange (Citrus sinensis) cv. Mosambi plants.

Exploring rice tolerance to salinity and drought stresses through Piriformospora indica inoculation: understanding physiological and metabolic adaptations.

Drought and salinity are significant challenges to global food security. This study investigated the interactive impacts of Piriformospora indica inoculation with salinity and drought stresses on rice. Two greenhouse experiments were conducted. The first experiment evaluated two P. indica inoculation levels and three salinity levels (0-, 50-, and 100-mM sodium chloride), while the subsequent experiment assessed two inoculation levels under three drought intensities (25%, 50%, and 100% of available water content). P. indica spores were inoculated following optimized seed disinfection and germination processes. The shoot and root biomass under salinity stress were consistently higher in inoculated plants compared to controls. Sodium concentrations in shoots and roots exhibited an overall upward trend, with the trend being less pronounced in inoculated plants due to increased potassium uptake. Under salinity stress, nitrogen, magnesium, and calcium concentrations significantly increased in inoculated plants. With increasing salinity, there was a significant increase in catalase enzyme activity and soluble carbohydrate concentrations across all treatments, with a greater increase in inoculated plants. Plants under drought stress experienced reduced root and shoot biomass, but inoculated plants maintained higher biomass. Increasing drought stress led to decreased nitrogen, magnesium, and calcium concentrations in all treatments, with the reduction being less severe in inoculated plants. Catalase enzyme activity and carbohydrate increased with rising drought stress, with the increase being more pronounced in inoculated plants compared to non-inoculated ones. By promoting plant growth, nutrient uptake, and stress tolerance, P. indica inoculation has a significant potential to enhance crop productivity in extreme climate conditions.

Key insight of groundwater quality and nutrients contamination in Pulau Kapas, Terengganu.

Pulau Kapas is tropical island which dominantly depends on land-supplied and groundwater for freshwater sources. The groundwater quality was monitored monthly, to identify the possible factors effecting the groundwater quality throughout May to October 2022. Physico-chemical parameters were in-situ measured and groundwater were collected for nutrients analysis in the laboratory. The concentration of ammonium, phosphate, nitrite, and nitrate were in the range of 0.07-1.08 mg/L, 0.00-0.06 mg/L, BDL-18 × 10-4 mg/L and 0.01-0.19 mg/L, respectively. The cluster and principal component analysis unveiled the seawater intrusion for freshwater needs was the dominant factor affecting the groundwater. Followed by the dissolution of soil particles surrounds the groundwater table, and the surface run-off by rainfall. In conclusion, the groundwater was affected by geogenic factors as it was not extensively extracted due to movement control order of Covid-19 event. This has provided significant insight for a better management plan in sustaining the groundwater of Pulau Kapas.

Potentiation of Tumor Hallmarks by the Loss of GULO, a Vitamin C Biosynthesis Gene in Humans.

Vitamin C plays a significant role in various physiological functions. Humans depend on external sources of vitamin C due to the loss of the L-gulono-γ-lactone oxidase (GULO) gene that contributes to the synthesis of vitamin C. During the evolutionary loss of the GULO gene, physical, chemical, and biological factors were different from the present environmental settings. Besides the evolutionary genetic loss of the GULO gene, there is a gap in the insightful discussion on the potential implications of the non-functional GULO gene towards the predisposition of humans to cancer that faces hostile and carcinogenic environments. Various methods by which vitamin C modulates cellular processes related to cancer, including DNA repair, epigenetic changes, and redox balance, are discussed. Furthermore, we present experimental and clinical evidence indicating that vitamin C deficiency promotes tumor growth, metastasis, and therapy resistance, emphasizing its potential as a cancer phenotypic modulator. Therapeutic implications of restoring vitamin C levels in cancer treatment range from improving the efficacy of conventional medicines to exploiting metabolic vulnerabilities in tumors. The relevance of assessing vitamin C status in cancer patients and the basis for additional research into vitamin C supplementation as an adjuvant therapy is emphasized. This paper presents a comprehensive overview of the implications associated with the functional deficiency of the GULO gene in human subjects exhibiting diverse tumor hallmarks, encompassing ECM remodeling, hypoxia, epigenetic reprogramming, oxidative stress, and drug responsiveness.

Polymer-Modified Fertilizers for Mitigating Strawberry Root Burn.

Polymer-modified fertilizers (PMFs) with prolonged nutrient release present a promising solution to address the challenges associated with conventional fertilization practices, particularly for sensitive crops such as strawberries. This study investigates the effectiveness of biodegradable PMFs in maintaining nutrient availability at optimal levels while minimizing root burn and nutrient losses. In a factorial field experiment, we obtaineda total of 3780 sets of parallel measured time series for soil EC, moisture, and temperature as well as two sets of harvest data to evaluate the impact of varying concentrations of polyvinyl alcohol (PVA) on the nutrient release rates from complex NPK fertilizer and monoammonium phosphate. Results indicate that polymer modifications significantly slow down nutrient release, leading to optimal salt levels and maximizing yield while remaining low enough to prevent the risk of root burn (EC of soil solution below 1 mS/cm). Consequently, the application of PMFs enhances strawberry yield surplus (on average 2.8 times in the second harvest) by ensuring a steady supply of nutrients throughout the growing season without inducing stress, which reduces the yield by nearly half. This research provides valuable insights into the development of more effective fertilization strategies for strawberry cultivation and other sensitive crops using PMFs.

Review of Mimusops zeyheri Sond. (Milkwood): Distribution, Utilisation, Ecology and Population Genetics.

Mimusops zeyheri Sond. (Milkwood) is an indigenous fruit tree species with considerable ecological, cultural, and nutritional significance that remains underexploited. This review synthesizes current knowledge on its distribution, taxonomy, phytochemistry, ethnomedicinal applications, ecological functions, genetic diversity, and biotechnological potential. A systematic literature search, spanning 1949 to April 2024, yielded 87 relevant publications from an initial 155. Mimusops zeyheri plays a crucial role in supporting the cultural traditions and economic activities of Indigenous Southern African Communities. Its distribution encompasses South, East, and Southern Tropical Africa, with substantial populations across South African provinces. Ethnomedicinally, various plant parts treat conditions including wounds, gastrointestinal issues, and diabetes. The leaves (34%) and roots (32%) are used, with infusion (33%) and decoction (31%) as primary preparation methods. Oral administration (70%) is the most common, primarily addressing skin conditions (18%). Despite its nutritional richness, a standardized nutrient profile is lacking. Limited genetic diversity studies underscore the need for further research. This study highlights Mimusops zeyheri's multifaceted importance and research gaps, particularly in other Southern African countries. Future investigations should focus on comprehensive phytochemical analysis, ethnomedicinal validation, ecological conservation, genetic diversity assessment, and biotechnological applications. Multidisciplinary collaborations are recommended to promote sustainable utilization while preserving traditional practices.

Circular Utilization of Coffee Grounds as a Bio-Nutrient through Microbial Transformation for Leafy Vegetables.

This study explores the production of bio-nutrients from bioactive compound-rich spent coffee grounds (SCG) and biochar (BC) through composting after inoculation with a biological agent and its impact on the growth performance of garden cress and spinach. The SCG was composted with six doses of BC (0, 5, 10, 15, 20, and 25%). The compost with 10% BC exhibited the best maturity, humification, and phytotoxicity index values of dissolved organic carbon (DOC), humification index (E4/E6), and germination index (GI). A metagenome analysis showed that compost starter enhanced the bacterial community's relative abundance, richness, and diversity in SCG and BC treatments. This improvement included increased Patescibacteria, which can break down noxious phenolic compounds found in SCG and BC. The BC enriched the compost with phosphorus and potassium while preserving the nitrogen. In plant growth experiments, the total chlorophyll content in compost-treated garden cress and spinach was 2.47 and 4.88 mg g-1, respectively, which was significantly greater (p ≤ 0.05) than in unfertilized plants and similar to the plants treated with traditional fertilizer. Overall, the results show that the compost of SCG + BC was well-suited for promoting the growth of garden cress and spinach, providing adequate nutrients as a fertilizer for these leafy vegetables.

Effects of decomposed and undecomposed straw of three crops on clubroot disease of Chinese cabbage and soil nutrients.

AIMS: Straw turnover plays an important role in reducing soil diseases, improving the ecological environment of plowland and realizing the effective ecological utilization of straw. METHODS: Pot and field experiments were carried out to investigate the effects of maize, rice and wheat straws on the growth, clubroot disease of Chinese cabbage and soil nutrients. Undecomposed and decomposed maize, rice and wheat straws were quantitatively added to the monocultural soil of Chinese cabbage, and the crops without straw were taken as the control. RESULTS: The results showed that the addition of maize, wheat and rice straws could promote the growth of monocultural Chinese cabbage, inhibit the occurrence of clubroot disease, increase soil pH value, the content of soil organic matter, alkaline hydrolyzable nitrogen and available potassium in pot experiment. Exogenous straw application could reduce the incidence rate by 22.54 ~ 47.85%, increase the plot yield of field 95.15 ~ 365.81%. CONCLUSIONS: In terms of inhibiting clubroot disease and improving soil properties, undecomposed rice straw is superior to maize and wheat straw, while decomposed maize straw is superior to rice and wheat straw.

Infiltration of secondary treated wastewater into an oxic aquifer: Hydrochemical insights from a large-scale sand tank experiment.

To mitigate groundwater level decline, managed aquifer recharge (MAR) with secondary treated wastewater (STWW) is increasingly considered and implemented. However, the effectiveness and potential risks of such systems need evaluation prior to implementation. In this study, we present a large-scale sand tank experiment to analyse processes related to the infiltration of real STWW through the vadose zone and subsequent mixing with oxic native groundwater. The varying composition of STWW from 15 infiltration cycles over six months of operation and the retention times were the main drivers of the observed processes, which were characterized by a wide range of analytical techniques such as in situ high-resolution oxidation-reduction potential (ORP) measurements, closed mass balances of solutes, characterization of dissolved organic carbon (DOC), stable nitrate isotopes analysis, as well as numerical flow and transport modelling. Depending on the composition and infiltration rates of the STWW, both nitrification and denitrification could be observed, even simultaneously at different locations in the tank. Furthermore, due to the variability of the real STWW we observed enhanced arsenic mobilisation during times of elevated phosphate concentrations of the infiltrating STWW. Additionally, uranium was mobilised in our experimental system via carbonate mineral dissolution caused by the infiltrating STWW which was undersaturated of calcite for all infiltration cycles. Overall, our results showed the importance of conducting studies with waters of complex matrix, such as real STWW, and considering mixing with groundwater to assess the full range of possible processes encountered at MAR field sites.

Enhancing dietary analysis: Using machine learning for food caloric and health risk assessment.

In the wake of growing concerns regarding diet-related health issues, this study investigates the application of machine learning methods to estimate the energy content and classify the health risks of foods based on the USDA National Nutrient Database. The caloric content of foods was estimated using the nutritional composition (i.e., carbohydrates, protein, total lipid, and total sugar content) and classified based on their weighted health risks, considering their carbohydrate, lipid, and glycemic index levels. The algorithms used for modeling include multiple linear regression (MLR), K-nearest neighbors, support vector machine, random forest regression (RFR), gradient-boosted regression, decision trees (DT), and deep neural networks. The MLR model demonstrated high accuracy on the training dataset (R2 = 0.99, mean absolute error [MAE] = 7.71 kcal, and root mean squared error [RMSE] = 17.89 kcal) and testing dataset (R2 = 0.99, MAE = 7.75 kcal, and RMSE = 18 kcal) in energy estimation, indicating its effectiveness in dietary assessment. The RFR and DT models were useful in categorizing foods into low-health-risk foods, but their performance was reduced in medium and high-health-risk groups. This research contributes to developing tools that could aid in personalized dietary planning and public health interventions to mitigate diet-related health risks. PRACTICAL APPLICATION: This study applies machine learning to estimate how many calories are in food and to understand the health risks different foods might have. By investigating the fats, cholesterol, and sugars in food items listed in a public database, we can better plan diets or develop apps that help people make healthier eating choices. This work aims to improve public access to nutritional information, supporting efforts to combat diet-related diseases through educational materials and applications that guide dietary choices in various settings.

Evaluating the suitability of large-scale datasets to estimate nitrogen loads and yields across different spatial scales.

Decision makers are often confronted with inadequate information to predict nutrient loads and yields in freshwater ecosystems at large spatial scales. We evaluate the potential of using data mapped at large spatial scales (regional to global) and often coarse resolution to predict nitrogen yields at varying smaller scales (e.g., at the catchment and stream reach level). We applied the SPAtially Referenced Regression On Watershed attributes (SPARROW) model in three regions: the Upper Midwest part of the United States, New Zealand, and the Grande River Basin in southeastern Brazil. For each region, we compared predictions of nitrogen delivery between models developed using novel large-scale datasets and those developed using local-scale datasets. Large-scale models tended to underperform the local-scale models in poorly monitored areas. Despite this, large-scale models are well suited to generate hypotheses about relative effects of different nutrient source categories (point and urban, agricultural, native vegetation) and to identify knowledge gaps across spatial scales when data are scarce. Regardless of the spatial resolution of the predictors used in the models, a representative network of water quality monitoring stations is key to improve the performance of large-scale models used to estimate loads and yields. We discuss avenues of research to understand how this large-scale modelling approach can improve decision making for managing catchments at local scales, particularly in data poor regions.