Global Effects Research Articles

The impacts of different types of globalization on energy security risk: Can globalization be a remedy for the energy security risk of OECD countries?

This study analyzes the impact of globalization and its sub-dimensions on energy security risk for OECD countries. In our study, annual data of 26 OECD countries for the period 1980-2018 were used. Second generation panel data techniques were used as the methodology. The results of the analysis show that economic, political and aggregate globalization increases energy security risk, while social globalization is statistically insignificant. The Dumitrescu-Hurlin panel causality test results demonstrate that there is a unidirectional causality relationship between inflation and energy security risk, and a bidirectional causality relationship between economic globalization, social globalization, political globalization, aggregate globalization, GDP and Gross Fixed Capital Formation and energy security risk. The study also analyzed how the impact of globalization on energy security risk varies across countries. The results of the analysis reveals that there are significant differences in the direction, significance and coefficient size of the relationship across countries. These findings suggest that the effects of globalization on energy security risks vary across countries. Therefore, countries should develop policies to minimize energy security risks by taking into account their own dynamics.

The effects of green technology and globalization on energy demand in emerging economies

Preserving energy security and promoting sustainable development in the face of globalization constitute essential challenges. Hence, this study focuses on how green technology innovation (GRTI) and globalization (GLOB) influence renewable (RE) and non-renewable (NRE) energy demand, employing panel data from 15 emerging nations from 1990 to 2023. The study discloses major insights employing several panel data approaches to tackle cross-sectional dependency, slope heterogeneity, and structural breaks in cointegration. The results indicate that a 1% change in GRTI leads to a 0.13% rise in REN at a 1% significance level, whereas its impact on NRE is negligible, reducing it by 0.01% in the long run. Conversely, a 1% increase in GLOB leads to an insignificant 2.62% rise in REN and a significant 1.02% increase in NRE at the 5% significance level. Besides, in terms of aggregate energy consumption, GRTI has an unfavorable impact, whereas GLOB holds a positive impact. Notably, the interaction between regulatory quality (REQ) and IVA implies a substantial fall, although the interaction between GLOB and REQ remains promising for aggregate energy demand. Finally, the COVID-19 epidemic markedly enhanced environmental awareness and energy-saving behaviors beyond the explanatory variables. Policies should encourage green technology innovation and prudent globalization to conserve energy demand.

Urban Small-Scale Hydroponics: A Compact, Smart Home-based Hydroponics System

The increasing population and urbanization have created a massive gap in the demand-supply model of food grains. The world is facing an acute problem with global warming and EI Nino effects, which have affected the equilibrium of the food chain. It is a need of the hour to introduce new reforms in farming to reap increased yields and reduce dependency on natural resources. Hydroponics cultivation is a boon to the agricultural sector, it enhances the cultivation of plants in an organic way by enabling Internet of Things (IoT) technology and combines technology and conventional nutritional mechanisms to enable the co-plant's growth without the strain of nutrient deficiency. This research suggests a system that integrates hardware and software into the traditional hydroponics system that the users can use to have their plantation setup in an urban environment within a small and confined space at home. This system will benefit hobbyist gardeners and small-scale urban farmers seeking an efficient, compact, and smart solution for hydroponic plant cultivation.

Yoga-based lifestyle intervention for healthy ageing in older adults: a two-armed, waitlist randomized controlled trial with multiple primary outcomes.

Yoga-based clinical research has shown considerable promise in varied ageing-related health outcomes in older adults. However, robust frameworks have yet to be used in intervention research to endorse yoga as a healthy ageing intervention to test the multidimensional construct of healthy ageing. This was an assessor-masked, randomized controlled trial conducted among 258 sedentary, community-dwelling older adults aged 60-80years, randomly allocated to 26-week yoga-based intervention (YBI) (n = 132) or waitlist control (WLC) (n = 126). The effectiveness of YBI was assessed through two separate global statistical tests, generalized estimating equations and rank sum-based test, against a comprehensive healthy aging panel comprised of ten markers representing the domains of physiological and metabolic, cognitive, physical capability, psychological, and social well-being. The secondary outcomes were individual primary marker scores, Klotho, inflammatory markers, and auxiliary blood markers. We could establish the healthy aging effect of the 26-week YBI over WLC using two models of global statistical test (GEE, β = 0.29; 95% CI = 0.20 to 0.38, p < 0.001), and rank sum-based test (β = 0.28, 95% CI = 0.19 to 0.36, p < 0.001). There were also significant improvements in direction of benefit at individual levels of all the aging markers. Exploratory evaluation with adopted indices from contemporary clinical trials also validated the potential of YBI for healthy aging; HATICE adapted composite score (mean difference = - 0.18; 95% CI = - 0.26 to - 0.09, p < 0.001) and healthy ageing index (mean difference = - 0.33; 95% CI = - 0.63 to - 0.02, p = 0.03). The global effect of YBI across multiple ageing-related outcomes provides a proof of concept for further large-scale validation. The findings hold a great translational value given the accelerated pace of population aging across the globe. Trial registration: CTRI/2021/02/031373.

Climate Change and its Economic Impacts in Mexico

Introduction: Climate change is one of the great challenges of the 21st century, due to its global causes and consequences and its heterogeneous and asymmetric regional impacts, with those who contribute the least to the phenomenon receiving the greatest negative impacts. Mexico has a minor contribution to climate change in terms of greenhouse gas emissions; however, it is highly vulnerable to its negative effects. Climate change is a long-term global phenomenon, with a high level of uncertainty. The economic analysis of climate change has a high level of risk, which makes it a process where risk must be managed. Despite these characteristics and limitations, it is a fundamental instrument for public policy and society since it identifies options and alternatives to build sustainable development strategies and protect natural resources and ecosystems for future generations beyond their economic value. However, it must be understood that projections are not one-off forecasts but only prospective scenarios. Objective: The objective of this study is to evaluate the economic impacts of Climate Change for Mexico during this century, according to the different scenarios of the IPCC AR6. Methodology: The methodology consists of presenting a set of regional projections of climate variables under the IPCC's AR6 climate change scenarios, and estimating the possible impacts of climate change on Mexico's economic sector. Results: Regional models show temperature increases between 0.5 and 5 °C, while changes in precipitation will range between -20.3% and 13.5%. Low soil moisture, negative changes in vegetation (NDVI) and drought (SPEI12) will lead to soil moisture deficits, water stress, sparse vegetation and semi-permanent drought. The entire country is expected to be subjected to moderate (Central and Southern) to extremely severe (Northern) droughts that will worsen by the end of the century. Climate change will have effects on crop yields, livestock reproduction, production of meat and its derivatives throughout the country in a differentiated way, with increases in food prices. It will also cause a deficit of land suitable for agricultural activities; and water availability. Diseases associated with climate change will become more acute by the end of the century, with increases in health spending. It is estimated that the investment of the Gross Domestic Product (GDP) in the health sector would go from 6.25% to more than 18%, which could be unfeasible for the national economy. Based on the likely temperatures by the end of the century, it is estimated that the risk of extinction of species will range between 3 and 48% in terrestrial, oceanic and coastal ecosystems, the risk of biodiversity loss will go from moderate to very high. The total costs of climate change reach 2050, with a discount rate of 4%, values that range between 9 and 13% of GDP in the most likely scenarios for the end of the century and reach between 28 and 36% of GDP at a discount rate of 0.5%, while by 2100 with a discount rate of 4%. around 16.5% of GDP and reach maximums between 69 and 76% of GDP at a discount rate of 0.5%. Conclusion: The results allow us to conclude that climate change has significant impacts on the Mexican economy and that the costs of inaction are higher. Thus, it is more efficient to act now than to leave the problem to future generations, beyond the ethical considerations that it implies.

UNVEILING BRAZIL: SOCIOECONOMIC AND POLITICAL REALITIES OF THE LATE '80S THROUGH BRÁULIO TAVARES' STUNTMIND

The present article aims to show how Brazilian Science Fiction provides an interesting reading of Brazil’s economic and political context and its social and cultural disturbances in the late 80s. With the end of the military regime, writers tended to explore the social context focusing on the contradictions of the process of modernization and its negative results for Brazilian society. In this context, writers did not hesitate to combine technology and cultural alienation in a Third World political perspective. By analyzing Bráulio Tavares’ “Stuntmind” it is possible to see his critique to the effects of globalization toward Brazilian culture, as well as toward Brazil’s political and economic development.

Pregnancy-related acute kidney injury leads to hypertension, reduced kidney function and cognitive impairment in postpartum rats

IntroductionWomen with hypertensive disorders of pregnancy such as HELLP (hemolysis, elevated liver enzyme, low platelet) Syndrome are affected by acute kidney injury during pregnancy (PR-AKI) at higher rates than women without hypertension. Both hypertensive disorders of pregnancy and Acute Kidney Injury (AKI) outside the context of pregnancy have been associated with an increased risk of developing Chronic Kidney Disease (CKD) and cognitive impairment. In our current study, we set out to determine if PR-AKI led to the development of CKD and impaired cognition in the postpartum period and if HELLP syndrome exacerbates the impairments.MethodsUsing timed-pregnant Sprague Dawley rats, on gestational day (GD) 12, mini-osmotic pumps infusing anti-angiogenic factors were surgically placed in the intraperitoneal cavity to induce HELLP. On GD18, AKI was induced via bilateral renal reperfusion ischemia surgery. Mean arterial pressure and birth outcomes were used to assess the global effects of AKI, and liver enzymes were used to assess HELLP. CKD was assessed by measuring glomerular filtration rate (GFR), urinary output, and renal fibrosis. Anxiety-like behaviors, object recognition memory, spatial memory, and avoidance memory were assessed via behavioral experiments.ResultsHELLP + AKI rats demonstrated more evidence of renal injury, hypertension, and behavioral deficits compared to normal pregnant animals. In addition, AKI had a negative impact on birth outcomes and maternal survival.ConclusionHELLP + AKI together led to evidence of persistent hypertension, progressive renal dysfunction, and cognitive impairment, which were exacerbated compared to AKI or HELLP alone. These findings suggest that PR-AKI in the presence of a hypertensive disorder of pregnancy, such as HELLP, leads to the development of CKD, cognitive dysfunction, and hypertension.

Adverse Effects of Covid-19, Globalization and Modern Day Slavery: Towards Interdependence, Solidarity and Radical Hospitality

Abstract The Covid-19 pandemic has made a significant impact on the world: its effects are not evenly distributed. For those who are vulnerable to being categorized as victims of modern-day slavery, the socio-economic disruption caused by the Covid-19 pandemic affected their lives in new and profound ways. It has aggravated their vulnerabilities and exposed systemic injustices. Examples of such can be found in the ongoing struggles of migrant workers. What might be appropriate theological reflections? This article aims to explore the adverse effects of Covid-19 pandemic, and the problems underlying the nexus of globalization and slavery (in various forms). The effects of the Covid-19 pandemic on the vulnerable sections of the people, which is understood as modern slavery. The task of a public Christian vocation in such circumstances is one of assessing what has happened and then affirming the interdependence and interconnectedness of the human community, solidarity and radical hospitality.

Navigating Teacher Well-Being in Globalized Education: Challenges and Recommendations

In the context of globalized education, teacher well-being has emerged as a critical area of study, where educators face unique challenges. This research investigated the multifaceted factors influencing teacher well-being, aiming to identify common struggles and contextual influences that shape their experiences. Given the increasing responsibilities placed on teachers, it is crucial to prioritize their well-being, as it has a direct impact on the quality of education they provide. The preliminary data were gathered via electronic open-ended questionnaires and eight semi-structured individual interviews, which served as case studies. The study primarily targeted South African teachers, but through a thorough literature review, the framework has been modified to accommodate a global audience. The findings unveiled the components that teachers described as driving them away from the profession and the factors that pulled them towards it. The in-depth literature reviews' findings focused on the globalization of education, which, while offering benefits like shared best practices, presents challenges to teacher well-being. These challenges include increased workloads due to curriculum changes, diverse learner needs, pressure from standardized testing, and inadequate support systems. Based on these insights, the researcher proposes several recommendations aimed at improving teacher well-being. These include systemic changes in curriculum development, equitable resource allocation, and enhanced support systems. At the school level, fostering a positive culture and effective workload management are essential, while individual strategies such as reflective practice and self-care can further mitigate stress. The study calls for further research to explore the long-term effects of globalization on teacher well-being and to evaluate the efficacy of targeted interventions. By addressing these issues, stakeholders can create a more supportive educational environment that benefits both teachers and students globally.

Global Change in Psychotherapy: Influences of Current Social Change on Mental Health and Therapy

Global change affects both individual life situations and social coexistence in a variety of ways. However, the effects of social events on mental illness and psychotherapy are only recorded and included in psychotherapy research in individual areas. The aim of this study is to explore current problems and concerns of patients in Germany on the basis of practical experience reports, to collect possible social causes and to bundle considerations for therapeutic treatment. To this end, psychotherapists (n=10) and psychotherapy patients (n=12) were interviewed in qualitative interviews and these were analyzed using grounded theory. After evaluating the collected perspectives, five main effects of current social events and the consequences of globalization were identified. From the perspectives of psychotherapists and patients, these include increasing anxiety about the future, decreasing social inclusion, increased questions about goals and identity as a concern for psychotherapy, increased psychological stress as a result of political divide and an increased demand for diversity-sensitive psychotherapy. In addition to expanding the scope of action, therapeutic approaches primarily include providing contact, guidance, orientation, emotional support and bonding experiences. The inclusion of knowledge from psychotherapists and patients as well as findings from social science can be helpful for identifying current problems and developing new therapeutic approaches or bundling, linking, and effectively using existing ones.

Combination of Transfer Learning and Chemprop Interpreter with Support of Deep Learning for the Energy Levels of Organic Photovoltaic Materials Prediction and Regulation.

It is challenging to build a deep learning predictive model using traditional data mining methods due to the scarcity of available data, and the model's internal decision-making process is often nonintuitive and difficult to explain. In this work, a directed message passing neural network model with transfer learning (TL) and chemprop interpreter is proposed to improve energy levels prediction and visualization for organic photovoltaic materials. The established model shows the best performance, with coefficient of determination reaching 0.787 for HOMO and 0.822 for LUMO in a small testing set after TL, compared to the other four models. Then, the chemprop interpreter analyzes local and global effects of 12 molecular structures on the energy levels for organic materials. After a comprehensive analysis of the energy level effects of nonfullerene Y-series, IT-series, and other organic materials, 12 new IT-series derivatives are designed. 1,1-dicyano-methylene-3-indanone (IC) end group halogenation can reduce HOMO and LUMO energy levels to varying degrees, while IC end group modified by electron-withdrawing aromatic groups can increase HOMO and LUMO energy levels and obtain relatively smaller electrostatic potential (ESP) to reducing intermolecular interactions. The influence of side-chain modification on energy levels is limited. It is worth mentioning that the predicted results of IT-series derivatives match density functional theory calculations. The model also shows good generalization and transferability for predicting the energy levels of other organic electronic materials. This work not only provides a cost-effective model for predicting the energy levels of organic photovoltaic materials but also explains the potential bridge between molecular structure and electronic properties.

Deep reinforcement learning for spatial resource allocation: A case study of school districting

Spatial resource allocation is a multi-objective spatial optimization problem with multiple constraints. The division of school districts is a classic problem of spatial resource allocation. This paper proposes a new dynamically districting optimization method based on deep reinforcement learning to optimize the global effect of school districting. In the proposed method, the school district’s constantly adjusted allocation process is regarded as a multi-step Markov decision-making process. The method combines the advantages of a deep convolutional neural network with reinforcement learning for real-time response and flexibility, and directly learns behavioural policies based on the input of changing school district states. According to various constraints, this algorithm optimizes the distance of students to school and the utilization rate of schools, and it proposes a better allocation plan. To demonstrate its validity, the proposed method was evaluated using real datasets of two school districts in the United States. The experimental results studied in six different scenarios show that, compared with traditional algorithms, the new proposed method requires less prior knowledge and is globally optimal, and can provide a better allocation plan for school districting, which reduces the distance between students and schools and balances the utilization rate of schools.

Differentiable Photon Mapping using Generalized Path Gradients

Photon mapping is a fundamental and practical Monte Carlo rendering technique for efficiently simulating global illumination effects, especially for caustics and specular-diffuse-specular (SDS) paths. In this paper, we present the first differentiable rendering method for photon mapping. The core of our method is a newly introduced concept named generalized path gradients. Based on the extended path space manifolds (EPSMs) [Xing et al. 2023], the generalized path gradients define the derivatives of the vertex positions and color contributions of a path with respect to scene parameters under given geometric constraints. By formalizing photon mapping as a path sampling technique through vertex merging [Georgiev et al. 2012] and incorporating a smooth differentiable density estimation kernel, we enable the differentiation of the photon mapping algorithms based on the theoretical results of generalized path gradients. Experiments demonstrate that our method is more effective than state-of-the-art physics-based differentiable rendering methods in inverse rendering applications involving difficult illumination paths, especially SDS paths.

Dimly illuminated nights alter behavior and negatively affect fat metabolism in adult male zebra finches.

This experiment investigated the effects of an ecologically relevant level of dim light at night (dLAN) on behavior, physiology and fat metabolism associated gene expressions in central and peripheral tissues of adult male zebra finches that were hatched and raised in 12:12h LD cycle (Ev, day = 150 ± 5lx; Ev, night = 0lx) at 22 ± 2°C temperature. Half of the birds (n = 8) were maintained on LD cycle and temperature, as before (control), to the other half of birds the 12h dark period was dimly illuminated at ~ 5lx (dim light at night, dLAN; Ev, day = 150 ± 5lx; Ev, night = ~ 5lx) for 6weeks. The exposure to dLAN altered the 24h activity and feeding patterns with enhanced activity and feeding at night. Birds under dLAN fattened and gained weight, and had higher night glucose levels. Concurrently, a negative effect of dLAN was found on mRNA expression of ppar-alpha and cd36 genes involved in the fat metabolism in the hypothalamus, intestine, liver and muscle. These results suggest a more global effect of dLAN exposure on obesity and perhaps long-term health risks due to obesity-related complications to diurnal animals including humans inhabiting an urbanized environment.

Not feeling it: lack of robust emotion effects on breadth of attention

ABSTRACT Emotional states are believed to broaden or to narrow the focus of attention. However, numerous inconsistent findings call for renewed efforts to understand the conditions under which such effects occur. We conducted a pair of high-powered web experiments. Emotional states were manipulated across valence categories and appraisal dimensions using autobiographical recall (Experiment 1) and emotional images (Experiment 2). Breadth of attention was assessed using the Navon task coupled with induction sensitivity and mouse tracking analyses. We did not find robust evidence for emotional effects on breadth of attention. Negative images led surprisingly to slightly broader attention in Experiment 2, but this may reflect the slow release of cognitive resources from preceding negative stimuli amplifying the global precedence effect. Breadth of attention also had very small positive relationships with goal-congruence appraisal in the first and control appraisal in the second experiment. We also found no evidence for moderation by mood or personality. Taken together, our findings add to the growing list of failures to observe emotional modulation of breadth of attention and call for continued efforts to chart the boundary conditions of these effects.

Additive effects of cerebrovascular disease functional connectome phenotype and plasma p-tau181 on longitudinal neurodegeneration and cognitive outcomes.

We investigated the effects of multiple cerebrovascular disease (CeVD) neuroimaging markers on brain functional connectivity (FC), and how such CeVD-related FC changes interact with plasma phosphorylated tau (p-tau)181 (an Alzheimer's disease [AD] marker) to influence downstream neurodegeneration and cognitive changes. Multivariate associations among four CeVD markers and whole-brain FC in 529 participants across the dementia spectrum were examined using partial least squares correlation. Interactive effects of CeVD-related FC patterns and p-tau181 on longitudinal gray matter volume (GMV) and cognitive changes were investigated using linear mixed-effects models. We identified a brain FC phenotype associated with high CeVD burden across all markers. Further, expression of this general CeVD-related FC phenotype and p-tau181 contributed additively, but not synergistically, to baseline and longitudinal GMV and cognitive changes. Our findings suggest that CeVD exerts global effects on the brain connectome and highlight the additive nature of AD and CeVD on neurodegeneration and cognition. Effects of multiple cerebrovascular disease (CeVD) markers on functional connectivity were studied. A global network phenotype linked to high burden across CeVD markers was identified. CeVD phenotype and plasma phosphorylated tau 181 contributed additively to downstream outcomes.

Globalization effects on the effectiveness of real estate management services

The scientific article is devoted to the study of the impact of globalization on the effectiveness of real estate management services, taking into account the state of war in Ukraine. The article notes the general characteristics of globalization as a phenomenon, as well as the specifics of its impact on the real estate situation in Ukraine. The problems faced by the Ukrainian real estate market are identified, in particular in the conditions of the legal regime of martial law. The problems faced by the Ukrainian real estate market today, as well as the specifics of the negative and positive impact of globalization on the Ukrainian real estate market, are identified. The role of the Ukrainian real estate market in the world and European markets is determined, and the influence of the Ukrainian real estate market on the European real estate market due to the migration of Ukrainian citizens due to military operations in Ukraine is determined. It is determined how globalization processes should be used in Ukraine to stimulate the development of the Ukrainian real estate market and the exit of the Ukrainian real estate market to the European real estate market and the world market. Obstacles and problems that Ukraine faces today in the framework of the development of the Ukrainian real estate market are identified.

MonoFG: Monocular 3D Object Detection with Knowledge Distillation for Human-Centric Autonomous Driving Systems

Monocular 3D object detection is essential for identifying objects in road images, thus offering valuable environmental perception data that are crucial for human-centric autonomous driving systems. However, due to the inherent limitations of camera imaging, obtaining precise depth information from images alone is challenging, which hampers the accuracy of within-scene object localization. In this paper, we introduce a monocular 3D object detection method called MonoFG that uses knowledge distillation with separated foreground and background components to improve the accuracy of object localization. First, detached foreground and background distillation processes can strategically leverage the distinct positional information acquired from each location to optimize the produced global distillation effects. This step serves as the foundation for the subsequent feature and response distillation process, which focuses on the distilled foreground and background rather than isolated object distillation. Second, triple attention mechanism-based feature distillation intensifies the feature imitation and feature representation capabilities of the student network. Spatial and channel attention mechanisms encourage the student network to capture crucial pixels and channels from the teacher network, whereas a self-attention mechanism globally transfers the learned relationships between pixels. Third, localization error-based response distillation facilitates a clearer transfer of positional information from the teacher network to the student network. Only when the positioning ability of the teacher network exceeds that of the student network can knowledge be comprehensively distilled across both the foreground and background. Therefore, the distillation process is constrained to specific content, which is delineated by positioning errors that serve as the boundaries. Finally, experiments conducted on the KITTI benchmark dataset demonstrate that our method outperforms many well-known baseline methods in several representative evaluation tasks (e.g., 3D object detection and bird's-eye view (BEV) detection) involving human-centric autonomous driving systems.

Epidemiological data of an influenza A/H5N1 outbreak in elephant seals in Argentina indicates mammal-to-mammal transmission

H5N1 high pathogenicity avian influenza virus has killed thousands of marine mammals in South America since 2022. Here we report epidemiological data and full genome characterization of clade 2.3.4.4b H5N1 HPAI viruses associated with a massive outbreak in southern elephant seals (Mirounga leonina) at Península Valdés, Argentina, in October 2023. We also report on H5N1 viruses in concurrently dead terns. Our genomic analysis shows that viruses from pinnipeds and terns in Argentina form a distinct clade with marine mammal viruses from Peru, Chile, Brazil and Uruguay. Additionally, these marine mammal clade viruses share an identical set of mammalian adaptation mutations which were also present in tern viruses. Our combined ecological and phylogenetic data support mammal-to-mammal transmission and occasional mammal-to-bird spillover and suggest multinational transmission of H5N1 viruses in mammals. We reflect that H5N1 viruses becoming more evolutionary flexible and adapting to mammals in new ways could have global consequences for wildlife, humans, and/or livestock.

Neural mechanisms underlying robust target selection in response to microstimulation of the oculomotor system.

Despite its prevalence in studying the causal roles of different brain circuits in cognitive processes, electrical microstimulation often results in inconsistent behavioral effects. These inconsistencies are assumed to be due to multiple mechanisms, including habituation, compensation by other brain circuits, and contralateral suppression. Considering the presence of reinforcement in most experimental paradigms, we hypothesized that interactions between reward feedback and microstimulation could contribute to inconsistencies in behavioral effects of microstimulation. To test this, we analyzed data from electrical microstimulation of the frontal eye field of male macaques during a value-based decision-making task and constructed network models to capture choice behavior. We found evidence for microstimulation-dependent adaptation in saccadic choice, such that in stimulated trials, monkeys' choices were biased toward the target in the response field of the microstimulated site (Tin ). In contrast, monkeys showed a bias away from Tin in non-stimulated trials following microstimulation. Critically, this bias slowly decreased as a function of the time since the last stimulation. Moreover, microstimulation-dependent adaptation was influenced by reward outcomes in preceding trials. Despite these local effects, we found no evidence for the global effects of microstimulation on learning and sensitivity to the reward schedule. By simulating choice behavior across various network models, we found a model in which microstimulation and reward-value signals interact competitively through reward-dependent plasticity can best account for our observations. Our findings indicate a reward-dependent compensatory mechanism that enhances robustness to perturbations within the oculomotor system and could explain the inconsistent outcomes observed in previous microstimulation studies.Significance Statement Electrical microstimulation has been used to study the causal contributions of certain brain areas or circuits to cognition and behavior. Nonetheless, the overall impact of microstimulation on behavior remains inconclusive, hinting at neural mechanisms that interact with experimental perturbation of neural activity. We hypothesized that this interaction could be driven by the reward feedback animals receive while performing tasks, either with or without external perturbations. Using computational modeling and data from microstimulation during a reward-dependent decision-making task, we found microstimulation and reward-value signals competitively interact within the oculomotor system. This interaction enhances the system's robustness to both internal and external perturbations. Our results have important implications for employing microstimulation in basic and clinical research.