Long-term Dynamics Research Articles

Long-term water quality dynamics and trend assessment reveal the effectiveness of ecological compensation: Insights from China’s first cross-provincial compensation watershed

Long-term water quality dynamics and trend assessment reveal the effectiveness of ecological compensation: Insights from China’s first cross-provincial compensation watershed

Educational Sector Financing and Economic Wellbeing

This study examines the relationship between educational Sector financing and economic wellbeing in Nigeria, focusing on government funding, private domestic investment, and foreign expenditure in education. The study employs econometric techniques to analyze the long-term dynamics of educational financing on the Human Development Index (HDI). The findings reveal a significant increase in educational financing activities over time, particularly in domestic funding. However, despite the growth in funding, there is evidence of underemployment among educated individuals, suggesting a disconnect between educational investments and economic outcomes. Co-integration analysis indicates a long-term relationship between government educational financing and human development. The reliance on government funding for education underscores the need for effective resource management and targeted interventions to address gaps in the education system. Keywords: Educational financing, economic development, Nigeria, government funding, private investment.

Discriminating Parkinson's disease patients from healthy controls using nasal respiratory airflow.

Breathing patterns may inform on health. We note that the sites of earliest brain damage in Parkinson's disease (PD) house the neural pace-makers of respiration. We therefore hypothesized that ongoing long-term temporal dynamics of respiration may be altered in PD. We applied a wearable device that precisely logs nasal airflow over time in 28 PD patients (mostly H&Y stage-II) and 33 matched healthy controls. Each participant wore the device for 24 h of otherwise routine daily living. We observe significantly altered temporal patterns of nasal airflow in PD, where inhalations are longer and less variable than in matched controls (mean PD = -1.22 ± 1.9 (combined respiratory features score), Control = 1.04 ± 2.16, Wilcoxon rank-sum test, z = -4.1, effect size Cliff's δ = -0.61, 95% confidence interval = -0.79 - (-0.34), P = 4.3 × 10-5). The extent of alteration is such that using only 30 min of recording we detect PD at 87% accuracy (AUC = 0.85, 79% sensitivity (22 of 28), 94% specificity (31 of 33), z = 5.7, p = 3.5 × 10-9), and also predict disease severity (correlation with UPDRS-Total score: r = 0.49; P = 0.008). We conclude that breathing patterns are altered by H&Y stage-II in the disease cascade, and our methods may be further refined in the future to provide an indication with diagnostic and prognostic value.

How Sophisticated Are Neural Networks Needed to Predict Long-Term Nonadiabatic Dynamics?

Nonadiabatic dynamics is key for understanding solar energy conversion and photochemical processes in condensed phases. This often involves the non-Markovian dynamics of the reduced density matrix in open quantum systems, where knowledge of the system's prior states is necessary to predict its future behavior. In this study, we explore time-series machine learning methods for predicting long-time nonadiabatic dynamics based on short-time input data, comparing these methods with the physics-based transfer tensor method (TTM). To understand the impact of memory time on these approaches, we demonstrate that non-Markovian dynamics can be represented as a linear map within the Nakajima-Zwanzig generalized quantum master equation framework. We further propose a practical method to estimate the effective memory time, within a given tolerance, for reduced density matrix propagation. Our predictive models are applied to various physical systems, including spin-boson models, multistate harmonic (MSH) models with Ohmic spectral densities and for a realistic organic photovoltaic system composed of a carotenoid-porphyrin-fullerene triad dissolved in tetrahydrofuran. Results indicate that the simple linear-mapping fully connected neural network (FCN) outperforms the more complicated nonlinear-mapping networks including the gated recurrent unit (GRU) and the convolutional neural network/long short-term memory (CNN-LSTM) in systems with short memory times, such as spin-boson and MSH models. Conversely, the nonlinear CNN-LSTM and GRU models yield higher accuracy in the triad MSH systems characterized by long memory times. These findings offer valuable insights into the role of effective memory time in non-Markovian quantum dynamics, providing practical guidance for the application of time-series machine learning models to complex chemical systems.

Phylogenomic analyses shed new light on the spatiotemporal evolution of global larches: Implications for the dynamics of boreal forests.

As the Earth warms, understanding the long-term dynamics of forest ecosystems is essential for guiding forest management and biodiversity conservation. Insights from past dynamics may provide valuable lessons for managing today's forests. Here, we investigated the spatiotemporal evolution of global larches to gain further insights into how boreal forests change over time. We first reconstructed a highly resolved and robust phylogeny of Larix covering all widely recognized species, using both transcriptome-based 1,301 orthologous genes (OGs) and plastid genomes. In sharp contrast to previous studies, an unexpected deep split between the circumboreal and Qinghai-Tibetan Plateau (QTP) larches was revealed in our study. Within each lineage, two geographically distinct clades were further resolved. Biogeographical analyses suggest that Larix might have an origin of Eocene in high-latitude uplands, and during the Miocene, all extant species have appeared. Cenozoic climate- and orogeny-triggered vicariance likely played a major role in the divergence of global larches. Our results also demonstrate that the proto-boreal forest biome may have a relatively old origin back to the early Miocene, and significant winnowing and species alteration would have occurred as the climate shifted to much colder and drier during the Neogene. Ecological niche analyses show various responses of the circumboreal and QTP larches under different climate scenarios, but both lineages are negatively impacted by warming climates. These findings have important conservation implications given the sensitivity of boreal forests in the face of global warming. Our work further emphasizes the importance of a solid phylogenetic framework for evolutionary and biogeographical inferences.

Long-term optical imaging of the spinal cord in awake behaving mice.

Advances in optical imaging and fluorescent biosensors enable study of the spatiotemporal and long-term neural dynamics in the brain of awake animals. However, methodological difficulties and fibrosis limit similar advances in the spinal cord. Here, to overcome these obstacles, we combined in vivo application of fluoropolymer membranes that inhibit fibrosis, a redesigned implantable spinal imaging chamber and improved motion correction methods that together permit imaging of the spinal cord in awake behaving mice, for months to over a year. We demonstrated a robust ability to monitor axons, identified a spinal cord somatotopic map, performed months-long imaging in freely moving mice, conducted Ca2+ imaging of neural dynamics in behaving mice responding to pain-provoking stimuli and observed persistent microglial changes after nerve injury. The ability to couple in vivo imaging and behavior at the spinal cord level will drive insights not previously possible at a key location for somatosensory transmission to the brain.

Using Paleoecological Methods to Study Long-Term Disturbance Patterns in High-Elevation Whitebark Pine Ecosystems

Pinus albicaulis (whitebark pine) is a keystone species, providing food and habitat to wildlife, in high-elevation ecological communities. In recent years, this important species has been negatively impacted by changes in fire regimes, increased Dendroctonus ponderosae (mountain pine beetle) outbreaks associated with human landscape and climate modification, and the continued impact of the non-native Cronartium ribicola (white pine blister rust). This research investigates changes in fire occurrence, the establishment of Pinus albicaulis, and fuel availability at a high-elevation site in the Sawtooth National Recreation Area, Idaho, USA. Charcoal and pollen analyses were used to reconstruct fire and vegetation patterns for Phyllis Lake, Idaho, USA, over the past ~8200 cal y BP. We found that significant fire episodes occurred when the pollen accumulation rates (PARs) indicated more arboreal fuel availability, and we identified that Pinus albicaulis became well established at the site ~7200 cal y BP. The high-elevation nature of Phyllis Lake (2800 m) makes this record unique, as there are not many paleorecords at this high elevation from the Northern Rocky Mountains, USA. Additional high-elevation sites in Pinus albicaulis habitats will provide critical insight into the long-term dynamics of this threatened species.

Long-term tracking of haematopoietic clonal dynamics and mutations in non-human primate undergoing transplantation of lentivirally barcoded haematopoietic stem and progenitor cells.

Haematopoietic stem and progenitor cell (HSPC) autologous gene therapies are promising treatment for a variety of blood disorders. Investigation of the long-term HSPC clonal dynamics and other measures of safety and durability following lentiviral-mediated gene therapies in predictive models are crucial for assessing risks and benefits in order to inform decisions regarding wider utilization. We established an autologous lentivirally barcoded HSPC transplantation model in rhesus macaque (RM), a model offering insights into haematopoiesis and gene therapies with direct relevance to human. Healthy young adult RMs underwent total body irradiation, followed by transplantation of autologous HSPCs transduced with a lentiviral vector containing a diverse genetic barcode library, uniquely labelling individual HSPCs and their progeny. With up to 131 months of follow-up, we now report quantitative clonal dynamics, characterizing the number, diversity, stability and lineage bias of hundreds of thousands of HSPC clones tracked in five RMs. We documented long-term stable and multi-lineage output from a highly polyclonal pool of HSPCs. Clonal succession after stable haematopoietic reconstitution was minimal. There was no evidence for accelerated acquisition of acquired somatic mutations following autologous lentivirally transduced HSPC transplantation. Our results provide relevant insights into long-term HSPC behaviours invivo following transplantation and gene therapies.

Mechanisms of rapid plant community change from the Miocene Succor Creek flora, Oregon and Idaho (USA).

The fossil record of the U.S. Pacific Northwest preserves many Middle Miocene floras with potential for revealing long-term climate-vegetation dynamics during the Miocene Climatic Optimum. However, the possibility of strong, eccentricity-paced climate oscillations and concurrent, intense volcanism may obscure the signature of prevailing, long-term Miocene climate change. To test the hypothesis that volcanic disturbance drove Middle Miocene vegetation dynamics, high-resolution, stratigraphic pollen records and other paleobotanical data from nine localities of the Sucker Creek Formation were combined with sedimentological and geochemical evidence of disturbance within an updated chronostratigraphic framework based on new U-Pb zircon ages from tuffs. The new ages establish a refined, minimum temporal extent of the Sucker Creek Formation, ~15.8 to ~14.8 Ma, and greatly revise the local and regional chronostratigraphic correlations of its dispersed outcrop belt. Our paleoecological analysis at one ~15.52 Ma locality reveals two abrupt shifts in pollen spectra coinciding with the deposition of thick ash-flow tuffs, wherein vegetation dominated by Cupressaceae/Taxaceae, probably representing a Glyptostrobus oregonensis swamp, and upland conifers was supplanted by early-successional forests with abundant Alnus and Betula. Another ephemeral shift from Cupressaceae/Taxaceae swamp taxa in favor of upland conifers Pinus and Tsuga correlates with a shift from low-Ti shale to high-Ti claystone, suggesting a link between altered surface hydrology and vegetation. In total, three rapid vegetation shifts coincide with ash-flow tuffs and are attributed to volcanic disturbance. Longer-term variability between localities, spanning ~1 Myr of the Miocene Climatic Optimum, is chiefly attributed to eccentricity-paced climate change. Overall, Succor Creek plant associations changed frequently over ≤105 years timespans, reminiscent of Quaternary vegetation records. Succor Creek stratigraphic palynology suggests that numerous and extensive collection of stratigraphically controlled samples is necessary to understand broader vegetation trends through time.

Long-Term Dynamics of Different Avian Influenza Viruses in Mallard (Anas platyrhynchos) Population in Moscow City and Moscow Oblast: Dependence on the Migration Activity

Long-Term Dynamics of Different Avian Influenza Viruses in Mallard (Anas platyrhynchos) Population in Moscow City and Moscow Oblast: Dependence on the Migration Activity

Mathematical Analysis for Honeybee Dynamics Under the Influence of Seasonality

In this paper, we studied a mathematical model for honeybee population diseases under the influence of seasonal environments on the long-term dynamics of the disease. The model describes the dynamics of two different beehives sharing a common space. We computed the basic reproduction number of the system as the spectral radius of either the next generation matrix for the autonomous system or as the spectral radius of a linear integral operator for the non-autonomous system, and we deduced that if the reproduction number is less than unity, then the disease dies out in the honeybee population. However, if the basic reproduction number is greater than unity, then the disease persists. Finally, we provide several numerical tests that confirm the theoretical findings.

Modeling ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region

This study investigates the impact of Information and Communication Technologies (ICT) on electricity consumption in West Africa, employing a dynamic panel data model. The results show a significant long-term positive effect of ICT adoption on electricity consumption. Notably, internet connections increase the demand for electricity, with estimates ranging from 13.4 % to 19.3 %. While mobile phone subscriptions demonstrate modest positive effect of 6.85 %, personal computer ownership appears to have a negligible impact.The study contributes to the existing literature by offering a detailed examination of the distinct effects of different ICT components on electricity consumption, incorporating a novel estimation approach and sensitivity analyses that account for the COVID-19 pandemic and the Anglo-French linguistic divide. What's more, the analysis constitutes an initial effort in the examining both short-term and long-term dynamics of the ICT-electricity relationship in West African region.

Candida auris fungaemia outbreak in a tertiary care academic hospital and emergence of a pan-echinocandin resistant isolate, Greece, 2021 to 2023.

After the start of the COVID-19 pandemic, a rapid rise in reported numbers and wide geographic spread of Candida auris-related invasive infections has been observed globally. However, the contemporary epidemiology of C. auris fungaemias in Greece remains unknown. An outbreak of C. auris bloodstream infections has been ongoing for almost 3 years in a Greek tertiary care academic hospital, with 89 C. auris-driven episodes appearing in five waves every 6-7 months following peaks in colonisation rates by 3-4 months. All isolates clustered in clade I and were genetically related, 84% were fluconazole-resistant and all were non-resistant to amphotericin B and echinocandins, except one pan-echinocandin-resistant isolate (FKS1S639F mutant) recovered from a patient on empiric therapy with anidulafungin. Notably, C. auris was in 2023 the most prevalent (34%) cause of candidaemia in our hospital. The accelerated and long-term transmission dynamics of C. auris fungaemia underscore the need for rigorous infection control measures, while antifungal stewardship is warranted to contain the selection of echinocandin-resistant isolates.

Exploring the Contribution Roles from Municipal Cities in the Rise in Household CO2 Emissions in China: From a Local Scale Analysis in the Global Context

A major source of carbon dioxide emissions (CO2) arises from the household sector. Recent studies have reported increasing household CO2 emissions (HCO2) in many countries. Cities represent a key administrative level in China and can be managed to mitigate HCO2 if spatial and temporal variations in HCO2 are understood at fine scales. Here, we applied panel data analysis to map HCO2 at a pixel scale of 1 km in China using remotely sensed time series nighttime light data, grid population density data, and provincial energy consumption statistics from 2000 to 2020. Spatial and temporal variations in HCO2 were observed with four growth modes, including high growth (HG), low growth (LG), negative growth (NG), and high negative growth (HNG), for different periods, i.e., 2000–2010, 2010–2020, and 2000–2020. We proposed a local scale analysis of HCO2 growth patterns within a global context to assess the contribution roles of 372 municipal cities to the changes in the national total HCO2 (T-HCO2). The results indicated that T-HCO2 has tripled in the last two decades, but the roles of the contribution to the increase varied among cities. The local scale analysis revealed that more cities contributed to the rise in T-HCO2 through HG and LG than those that suppressed it through NG and HNG. The majority of the cities displayed contributions to the rise in T-HCO2 through two or more of the growth modes, confirming a significant variation in HCO2 across locations, even within a city. This study provides a new approach to understanding the roles cities play in the long-term dynamics of T-HCO2. We recommend increased efforts to encourage HCO2 mitigation in cities that have contributed to the rise in T-HCO2 to help neutralize carbon emissions at the national level.

Long-term dynamics of measles virus-specific neutralizing antibodies in children vaccinated before 12 months of age.

Measles is a highly contagious disease presenting a significant risk for unvaccinated infants and adults. Measles vaccination under the age of 12 months provides early protection, but has also been associated with blunting of antibody responses to subsequent measles vaccinations and assumed to have lower vaccine effectiveness. Our study included children who received an early measles, mumps and rubella (MMR) vaccination between 6 and 12 months of age (n=79, given in addition to the regular MMR vaccination schedule at 14 months and 9 years) and a group without additional early vaccination (n=44). We evaluated measles virus (MeV)-specific neutralizing antibodies before vaccination at 14 months and up to 6 years thereafter using a plaque reduction neutralization test according to the standard set by the WHO. We show a significant association between age of first MMR and MeV-specific neutralizing antibody levels later in life. Although most children who received early vaccination seroconverted after the first dose, children vaccinated before 8·5 months of age exhibited a markedly faster antibody decay and lost their protective neutralizing antibody levels over 6 years. Routine vaccination of infants under 8·5 months of age may lead to blunted MeV-specific antibody responses to subsequent MMR vaccination. Early MMR vaccination should only be considered during measles outbreaks or in other situations of increased risk of MeV infection.

Epidemiological features of chronic hepatitis B in the Russian Federation and the Samara region

Research objective. To analyze the epidemiological features of chronic hepatitis in the Russian Federation and in the Samara region.Materials and methods. The data of official statistics were analyzed: the materials of the Federal Service for Supervision in the Field of Consumer Protection and Human Welfare, the Office of the Federal Service for Supervision in the Field of Consumer Protection and Human Welfare in the Samara Region.Results. The long-term dynamics of the incidence of newly diagnosed chronic hepatitis B in the Russian Federation and the Samara region in 1999–2021 was synchronous. In 1999–2001 the incidence of HCV (Chronic hepatitis B) in the Russian Federation and the Samara region had maximum values of 16,00⁄0000–22,50⁄0000. In the Samara region, it was higher than in the country. As a result of systematic measures to vaccinate the population against HCV during the period of mass immunization (2006–2021), the rate of decrease in the incidence of HCV in the Samara region decreased from 14,5 0⁄0000 to 2,40⁄0000 and in the country – from 14,0 0⁄0000 to 4,50⁄0000. The introduction of immunization of the child population against HCV in the Samara region had a positive effect on the incidence of HCV. From 2000 to 2021, the incidence of HCV decreased by 9,4 times. If in 2000 the incidence of children with HCV was 4,20⁄0000 in the Russian Federation, in 2002–7,30⁄0000 in the Samara region, then in 2021 in the Russian Federation it decreased to 0,080⁄0000, no cases were registered in the Samara region.

МНОГОЛЕТНИЕ ЭПИДЕМИОЛОГИЧЕСКИЕ ТРЕНДЫ ДИНАМИКИ АЛЛЕРГИЧЕСКОГО РИНИТА И АТОПИЧЕСКОГО ДЕРМАТИТА У ДЕТЕЙ

Background. Allergic rhinitis and atopic dermatitis are common allergic diseases in children. Analysis of the incidence and trends of allergic diseases development is necessary for successful solving the problem of morbidity, helping the child population at the regional level, disease forecasting and control. Purpose of the study. To study the long-term dynamics of the main epidemiological indicators of the general and primary incidence of allergic rhinitis and atopic dermatitis in the child population of the Grodno region. Material and methods. Retrospective analysis of indicators of general and primary incidence of allergic rhinitis and atopic dermatitis in the child population of the Grodno region was performed. The study periods were 1999-2023 years (children aged 0-14 years old) and 2008-2023 years (children aged 15-17 years old). Results. The average long-term age-standardized overall morbidity rate of allergic rhinitis in children aged 0-14 years old was 266.89 (95% CI: 238.33-295.47), the primary morbidity rate was 67.67 (95% CI: 57.36-77.9) per 100,000 children of the corresponding age. The average long-term overall incidence rate of allergic rhinitis in children aged 15-17 years (2008-2023) was 791.97 (95% CI: 680.79-903.14), the primary incidence rate was 113.73 (95% CI: 92.84- 134.61) per 100,000 children of the same age. The average long-term age-standardized rate of overall incidence of atopic dermatitis in children aged 0-14 years old was 872.89 (95% CI: 825.27-919.782) per 100,000 children of the corresponding age, the primary incidence rate was 459.1 (95% CI: 399. 96-518.24) per 100,000 children of the same age. The average long-term overall incidence rate of atopic dermatitis in children aged 15-17 years was 415.68 (95% CI: 377.63-453.73), the primary incidence rate was 143.88 (95% CI: 120.53-167.23) per 100,000 child population of the corresponding age. The long-term epidemic dynamics of allergic rhinitis was characterized by a moderately pronounced tendency towards an increase in the overall incidence rate among children aged 0-14 years old (average growth (decrease) rate = +2.4%) and 15-17 years old (average growth (decrease) rate = +3.62 %) as well as stabilization of the primary morbidity rate in children aged 0-14 years old (average growth (decrease) rate = -0.67%) and 15-17 years old (average growth (decrease) rate = +0.72%). The long-term epidemic dynamics of atopic dermatitis was characterized by a moderately pronounced tendency towards a decrease in the overall morbidity rate for children aged 0-14 years old (average growth (decrease) rate = -1.57%) and an increase in the morbidity rate for children of 15-17 years old (average growth (decrease) rate = +2.1%). There also was a pronounced downward trend in the primary morbidity rate of children aged 0-14 years old (average growth (decrease) rate = -5.42%) and children aged 15-17 years old (average growth (decrease) rate = -5.89%). The cartograms of the territorial distribution of incidence rates of allergic rhinitis and atopic dermatitis in the child population of the Grodno region in the periods 1999-2023 (0-14 years old) and 2008-2023 (15-17 years old) are presented. Conclusions. The reasons for the established patterns of changes in the incidence of allergic diseases in children of different age groups, as well as those living in different territories, are most likely due to the influence of environmental and socio-economic factors. The presented cartograms make it possible to visualize the incidence rates of allergic rhinitis and atopic dermatitis in individual territorial and administrative regions of the region.

Assessing spatiotemporal variations of soil organic carbon and its vulnerability to climate change: A bottom-up machine learning approach

Soil organic carbon (SOC) is a crucial component of the terrestrial carbon cycle and essential for agricultural productivity. Quantifying its sensitivity to future climate change is vital for sustaining agricultural practices and mitigating greenhouse gas emissions. However, this remains a challenge as long-term SOC data are scarce and substantial uncertainties regarding future climate scenarios. This study presents a bottom-up machine learning framework to assess the spatiotemporal variations of SOC and its vulnerability to climate change in the Jinghe River Basin, a typical loess hilly and gully watershed. Firstly, the long-term (2000–2023) dynamics of SOC was estimated by integrating in-situ measurements with machine learning techniques. Results show that the high SOC values are primarily distributed in the farmland of the mountain-loess transition zone, while the low-value areas are mainly found in the loess region. During the study period, the SOC content exhibited a slight increasing trend with a rate of 0.02 ​g ​kg−1 ​yr−1 (p ​= ​0.449). The vulnerability of farmland surface SOC to future climate change was then evaluated by combining a robust machine learning model with the bottom-up framework. To this end, the study explored a wide range of possible future climates to identify critical climate thresholds and their spatial variation across the basin’s farmlands. Based on this analysis, this research found that the farmland in the northern basin is generally more susceptible to changing climate with even marginal rises in temperature could lead to severe loss in SOC. These results highlight the need for proactive climate adaptation strategies to safeguard SOC in vulnerable agricultural landscapes, ensuring soil health and resilience in the face of climate change.

Long-term coastal dynamics: The evolution of a mixed sediment mega-nourishment consisting of colliery spoil

Mega-nourishments, where large volumes of sediment are deposited on coastlines, are increasingly employed to manage shoreline erosion, yet our understanding of their long-term behaviour is limited by the fact that most current schemes are less than 15 years old. However, on the County Durham coast, 39 million m3 of coal spoil was tipped onto beaches between the late 1800s and 1993, acting as a de facto mixed sediment mega-nourishment. Our findings reveal key insights into the long-term dynamics of mega-nourishment schemes, including evidence of effective sediment dispersal around headlands into normally disconnected units of coast. Following cessation of tipping, shorelines retreated up to 12 m yr−1, with 150 m overall retreat in 12 years. Subsequently, retreat slowed but the present-day shoreline remains seaward of its 1860 position and is subject to ongoing coastal recession. We document significant fining of the deposited material in the years post deposition through abrasion and chemical breakdown. Furthermore, we show that the highest erosion rates now occur downdrift from the initial dump site, indicating that nourishment impacts migrate through time. These findings highlight the need for holistic and adaptive management approaches to mega-nourishment schemes, showing the behaviour of the nourishment to continually change in both location and magnitude as the system evolves. We demonstrate that mixed sediment mega-nourishments can be a cost-effective and durable solution to mitigate erosive losses, even in the absence of a planned approach to the location or composition of deposited sediment. Our results suggest that lessons from this historical intervention can inform the design and management of future mega-nourishment schemes, particularly in mixed sediment environments.

A computational assay for identifying millet-derived compounds that antagonize the interaction between bisphenols and estrogen-related receptor gamma.

The use of Bisphenol A (BPA) and its analogs in industries, as well as the products made from them, is becoming a significant concern for human health. Scientific studies have revealed that BPA functions as an endocrine disruptor. While some analogs of BPA (bisphenols) have been used for a longer time, it was later discovered that they are toxic, similar to BPA. Their widespread use ensures their presence in the environment, and thus, everyone is exposed to them. Scientific research has shown that BPA interacts with estrogen-related receptor gamma (ERRγ), affecting its normal function. ERRγ is involved in biological processes including energy metabolism and mitochondrial function. Therefore, continuous exposure to bisphenols increases the risk of various diseases. In our previous study, we observed that some analogs of BPA had a higher binding affinity to ERRγ compared to BPA itself and analyzed the amino acid residues involved in this interaction. We hypothesized that by antagonizing the interaction between bisphenols and ERRγ, we could neutralize their toxic effects. Taking into account the health benefits of millets and their toxin removal properties, virtual screening of millet-derived compounds was conducted along with prediction of their ADMET profiles. Top five candidates were prioritized for Density Functional Theory (DFT) calculations and further analyses. Long-term molecular dynamics simulation (1µs) were utilized to evaluate their binding, stability, and antagonizing abilities. Furthermore, reevaluation of their binding energy was conducted using the MM-PBSA method. This study reports millet-derived compounds, namely, Tricin 7-rutinoside, Tricin 7-glucoside, Glucotricin, Kaempferol, and Setarin. These compounds are predicted to be potent competitive inhibitors that can antagonize the interactions between bisphenols and ERRγ. These compounds could potentially assist in the development of future therapeutics. They may also be considered for use as food supplements, although further investigations, including wet-lab experiments and clinical studies, are needed.