Adverse Influence Research Articles

Ecological insights and environmental threats of invasive alien plant Chromolaena odorata: Prospects for sustainable management

AbstractThe Anthropocene witnessed the landscape spread of several invasive alien plants which can remarkably influence the ecosystem services and environmental sustainability. To this end, Chromolaena odorata (Asteraceae) is widely identified among top hundred pervasive invaders in view of its adverse influence on environment, agriculture, and wildlife. The adverse effects of C. odorata can further be exacerbated under the event of invasion interaction with other anthropogenic stressors such as climate change. Nevertheless, there exists dearth of pragmatic studies on invasion ecology, socio‐economic impacts, ecological economics, and sustainable management prospects of C. odorata. The present review discusses the invasion ecology, distribution, mechanisms, impacts, and management strategies of C. odorata invasion. The side‐effects and unsustainable use of traditional control measures (e.g., controlled fire and chemical herbicides) of C. odorata paves the way to biological control methods (e.g., gall fly). However, the control measures of C. odorata need to be assessed for their long‐term ecosystem level effects to mitigate the possible adverse environmental responses. The wise application of C. odorata biomass in marginal lands for soil fertility restoration, biosorption, biorefinery, bio‐medicine, and bioenergy in conjunction with ecological control measures can cover economic incentive to facilitate sustainable management of C. odorata in forestry/agroforestry systems. Nevertheless, the use of weed biomass as feedstock in biorefinery and ethno‐medicine may be inadequate in reducing its invasion. Future studies should explicitly elucidate the ecological mechanisms of C. odorata in concert with the quest for its field‐scale application in biorefinery to augment sustainable management.

Enhancement of Wear Resistance of High-Load Pressing Screw in Smokeless Charcoal Production by Using Genetic Algorithm and Discrete Element Method

During the production of smokeless charcoal, the pressing screw of the sawdust compressor is exposed to the effects of friction and elevated temperature, resulting in rapid wear. This phenomenon not only diminishes productivity but also exerts adverse influences on the final product's quality. Consequently, the pursuit of research endeavors aiming at prolonging the lifespan of the pressing screw holds significant importance, not only in reducing production costs but also in enhancing the product's overall quality. This paper adopts an innovative approach by integrating theoretical calculations, numerical simulations with practical experiments to ascertain the optimal profile for the pressing screw. This methodology employs Genetic Algorithm and Discrete Element Method (DEM) simulations in conjunction with the EDEM software to simulate the working process and provide the optimal profile of the pressing screw. The analysis and simulation results indicate a substantial enhancement in the wear resistance of the pressing screw while ensuring the efficient movement of discrete materials during the pressing process. The results of this study not only indicate the main wear locations on the pressing screw but also suggest the optimal profile, providing a basis and control for wear assessment. Furthermore, the results of this research not only identifies the principal areas that are susceptible to wear on the pressing screw but also proposes optimal profile, threreby establish a solid foundation and methodology for wear assessment. These results will be pragmatically implemented in smokeless charcoal production factories, concurrently pave the way for further research and applications in this field.

Adaptive Frequency Droop Feedback Control-Based Power Tracking Operation of a DFIG for Temporary Frequency Regulation

Frequency regulation scheme of doubly-fed induction generators (DFIGs) are implemented to improve the frequency stability achieving by rotor speed control. However, the coupling dynamics between the maximum power point tracking operation control loop and frequency regulation control loop would impair the frequency regulation capability. To eliminate the adverse influences, firstly, analytical derivation for coupling output power dynamics is represented when adopting frequency regulation scheme of the DFIG. Then, an adaptive frequency droop feedback control based on power tracking operation strategy, which is a decoupling control scheme for frequency regulation, is proposed to respond the dynamic grid frequency without reserving power. The frequency deviation-based droop control with dynamics gains is used to calculate the coefficient of power tracking operation of the DFIG. The system stability with various power tracking operation of the DFIG is analyzed, in addition, the stable boundary is used to limit the setting of coefficient of power tracking operation. Simulations are carried based on an EMTP-RV simulator. It is found that the suggested adaptive frequency droop feedback control based on power tracking strategy can provide dual frequency regulation capability and reduce the maximum frequency excursion under various scenarios.

Unintended consequences: the adverse effects of royal jelly supplementation in the predatory mite Amblyseius herbicolus Chant (Acari: Phytoseiidae)

In this study we delved into the effects of royal jelly supplementation on the life history traits of Amblyseius herbicolus, a thelytokous predatory mite with potential in biological pest control. Royal jelly, a nutrient-rich substance from honeybees, is known for its diverse biological activities in various species. Our experiments showed the concentration-dependent impacts of royal jelly supplementation on A. herbicolus. While royal jelly positively influenced mite survival at low concentrations (5%), a trade-off emerged: increased survival came at the cost of reduced fecundity. Also, royal jelly reduced ovipositional and post-ovipositional duration. Remarkably, maternal royal jelly supplementation influenced the pre-ovipositional duration of A. herbicolus offspring, suggesting transgenerational effects. However, certain traits, such as developmental time, size at maturity, and lifespan of both parents and offspring, remained unaffected. Our findings emphasise the specificity of royal jelly’s impact on different aspects of mite biology and the possibility of inducing adverse influences on life history traits. To fully harness the potential of royal jelly in dietary supplementation, further research exploring the molecular mechanisms underlying these interactions is imperative.

Modelling the influence of natural resources and social globalization on load capacity factor: New insights from the ASEAN countries

This study aims to evaluate the effect of natural resources and social globalization on load capacity factor in six ASEAN nations over the timeline from 1990 to 2020. To attain this objective, a diverse array of econometric methods, encompassing cross sectional dependency, slope homogeneity test, and second-generation stationary methods and cointegration techniques were applied. This research extended its analysis to include method of moment quantile regression fixed effects and fully modified ordinary least squares estimators to estimate the long-term relationships' coefficients. The results of the cointegration assessments provided confirmation of the existence of long-term equilibrium connections among the panel series in question. The long-term results of the study reveal a positive effect of natural resources, biomass energy and social globalization on load capacity factor levels, signifying the considerable potential of these indicators to impact environmental quality over the long term. In contrast, economic growth exerts a notable adverse influence on the environment quality in ASEAN. However, foreign direct investment has insignificant influence on load capacity in ASEAN. This study underscores that the ASEAN nations should embark on significant initiatives that emphasize the dual priorities of economic development and natural resource sustainability.

Impact of hydrocarbon exposure on the mechanical properties of rail pads

This study investigates the effect of hydrocarbon exposure on the mechanical behaviour of seat pads used as a part of the fastening system in rail transport. Three different types of rail pads are examined, two made of EPDM (Ethylene Propylene Diene Monomer) and one made of EVA (Ethylene Vinyl Acetate). The results indicate that hydrocarbon exposure has a significant effect on the dynamic stiffness and mass stability of the pads, particularly in the EPDM ones. More specifically, it is observed that EPDM exposure to hydrocarbons increases the flexibility of the pads. Furthermore, for prolonged exposure periods (500 hours), this flexibility can become so pronounced that exhausts the pad's ability to deform under the loads applied during track assembly, which results in a more rigid behaviour than aging. Such findings are important as they suggest that hydrocarbons can negatively impact the performance and safety of rail transport due to the changes induced in critical mechanical properties of pads. Consequently, measures should be taken by contractors and infrastructure managers to reduce the adverse influence of hydrocarbons on rail pads, which contributes to increase the safety and efficiency of rail transport.

Large-eddy simulation of upwind-hill effects on wind-turbine wakes and power performance

The present study utilizes high-fidelity large-eddy simulation (LES) to examine the upwind-hill impacts on wind-turbine wakes and power performance. Both the LES and Reynolds-Averaged Navier–Stokes (RANS) show good agreement with the experimental results of average velocity, whereas the LES exhibits great improvements in predicting turbulence characteristics. In turbine simulations, the wake half-width shows different behaviors in the hill and flat cases. The Gaussian and cosine distributions are good representations of the unskewed profiles of velocity deficit, although some discrepancies are seen around the wake edges. However, the spanwise profiles of velocity deficit become skewed in some hill cases. The non-zero pressure gradient (NZPG) model is employed to predict the velocity deficit in the wakes of a hilltop-sited turbine, and a generalized condition is proposed so that the NZPG model can work in the scenario where the pressure gradients at the turbine location or in its near wakes are not zero. Appropriately assigning initial values for the NZPG model is important for its successful use. The presence of the upwind hill has an adverse influence on the power output of the hilltop-sited turbine. The installation of wind turbines in the valley region near upwind hills is not recommended due to the limited wind-energy resources and intense turbulence levels.

Heat-Resistant Inbred Lines Coordinate the Heat Response Gene Expression Remarkably in Maize (Zea mays L.).

High temperatures are increasingly becoming a prominent environmental factor accelerating the adverse influence on the growth and development of maize (Zea mays L.). Therefore, it is critical to identify the key genes and pathways related to heat stress (HS) tolerance in maize. Great challenges have been faced in dissecting genetic mechanisms and uncovering master genes for HS tolerance. Here, Z58D showed more thermotolerance than AF171 at the seedling stage with a lower wilted leaf rate and H2O2 accumulation under HS conditions. Transcriptomic analysis identified 3006 differentially expressed genes (DEGs) in AF171 and 4273 DEGs in Z58D under HS treatments, respectively. Subsequently, GO enrichment analysis showed that commonly upregulated genes in AF171 and Z58D were significantly enriched in the following biological processes, including protein folding, response to heat, response to temperature stimulus and response to hydrogen peroxide. Moreover, the comparison between the two inbred lines under HS showed that response to heat and response to temperature stimulus were significantly over-represented for the 1234 upregulated genes in Z58D. Furthermore, more commonly upregulated genes exhibited higher expression levels in Z58D than AF171. In addition, maize inbred CIMBL55 was verified to be more tolerant than B73, and more commonly upregulated genes also showed higher expression levels in CIMBL55 than B73 under HS. These consistent results indicate that heat-resistant inbred lines may coordinate the remarkable expression of genes in order to recover from HS. Additionally, 35 DEGs were conserved among five inbred lines via comparative transcriptomic analysis. Most of them were more pronounced in Z58D than AF171 at the expression levels. These candidate genes may confer thermotolerance in maize.

Epilepsy EEG signals classification based on sparse principal component logistic regression model

Epilepsy is a chronic brain disease caused by excessive discharge of brain neurons. Long-term recurrent seizures bring a lot of trouble to patients and their families. Prediction of different stages of epilepsy is of great significance. We extract pearson correlation coefficients (PCC) between channels in different frequency bands as features of EEG signals for epilepsy stages prediction. However, the features are of large feature dimension and serious multi-collinearity. To eliminate these adverse influence, the combination of traditional dimension reduction method principal component analysis (PCA) and logistic regression method with regularization term is proposed to avoid over-fitting and achieve the feature sparsity. The experiments are conducted on the widely used CHB-MIT dataset using different regularization terms L 1 and L 2 , respectively. The proposed method identifies various stages of epilepsy quickly and efficiently, and it presents the best average accuracy of 94.86%, average precision of 96.71%, average recall of 93.48%, average kappa value of 0.90 and average Matthews correlation coefficient (MCC) value of 0.90 for all patients.

The integrated bioinformatic analysis identifies immune microenvironment-related potential biomarkers for patients with gestational diabetes mellitus.

Gestational diabetes mellitus (GDM), a transient disease, may lead to short- or long-term adverse influences on maternal and fetal health. Therefore, its potential functions, mechanisms and related molecular biomarkers must be comprehended for the control, diagnosis and treatment of GDM. The differentially expressed genes (DEGs) were identified using GSE49524 and GSE87295 associated with GDM from the Gene Expression Omnibus database, followed by function enrichment analysis, protein-protein interactions network construction, hub DEGs mining, diagnostic value evaluation and immune infiltration analysis. Finally, hub DEGs, the strongest related to immune infiltration, were screened as immune-related biomarkers. A hundred and seven DEGs were identified between patients with GDM and healthy individuals. Six hub genes with high diagnostic values, including ALDH1A1, BMP4, EFNB2, MME, PLAUR and SLIT2, were identified. Among these, two immune-related genes (PLAUR and SLIT2) with the highest absolute correlation coefficient were considered immune-related biomarkers in GDM. Our study provides a comprehensive analysis of GDM, which would provide a foundation for the development of diagnosis and treatment of GDM.

From brown to green: Are emerging countries moving in right direction? Testing the validity of LCC hypothesis

Since the United Nations endorsed the sustainable development goals in 2015, emerging economies have faced several issues in meeting the objectives set by the sustainable development goals. Environmental degradation is one of the main issues faced by emerging countries. To overcome this issue and for attaining sustainable development goals, this study is the earliest attempt to examine the asymmetric influence of economic policy uncertainty, renewable energy consumption, and technological innovations on load capacity factor under the framework of the load capacity curve for E-7 countries during 1996–2019. The preliminary tests confirm the absence of data normality; hence, we use panel quantile regression. The findings of the study reveal the presence of a U-shaped load capacity curve hypothesis in E-7 countries including China, Indonesia, Russia, Brazil, Mexico, India, and Turkey. This finding depicts that at an earlier stage, gross domestic product has an adverse influence on environmental quality but after achieving its threshold level, a further increase in gross domestic product growth becomes helping to boost environmental quality. An increase in economic policy uncertainty leads to a decrease in load capacity factor while renewable energy consumption has a favorable impact on load capacity factor to enhance environmental quality. The negative impact of technological innovation is that prevailing technology patterns are not environmentally supportive. Relying on these empirical outcomes current study recommends significant policy measures to achieve the targets of sustainable development goals including SDG 07, SDG 08, SDG 09, and SDG 13 as renewable energy, economic growth, innovations, and climate action, respectively, in E-7 economies.

Measurement of sulfate ion concentration in segregated post-tension grout

Corrosion of steel strand embedded in deficient grout has been associated with elevated concentrations of sulfate ions stemming from grout segregation and the adverse influences of excess mix water and grout prehydration. There have been discussions about appropriate ways to assess sulfate ion levels in the grout pore water. Various test methodologies can include varying material conditioning procedures, including heating, drying, and chemical reactions that can influence the level of sulfate ion aggregation in the test leachate from the initial bleed water from the bulk material. In this study, the sulfate content was measured by leaching and alternative methods such as XRF and bleed water testing. Six leaching methods were employed to assess the effect of leaching heating, heating time, leaching volume, grout sample mass, and drying temperature. Leaching of larger grout sample mass can yield higher leachate sulfate concentrations, but the concentrations were not commensurate with the larger grout mass. Leaching of a larger grout sample mass with a mass-to-water ratio of 1:10 was not shown to be efficient in the dissolution of sulfate ions. Larger mass-to-water ratio (1:40) yielded higher sulfate concentrations in the leachate and normalized grout mass. Pre-drying of grout samples to 100 °C for 24 h was shown to incur losses in sulfate content. Recommendations of test methods to assess the sulfate ion content from segregated and hardened grout were made.

Energy recovery and clean water remediation using antibiofouling polysaccharide coated PAN hollow fiber membrane obtained via green route synthesis

Biofouling is an important biological constrain in the water treatment process, and the control or management strategies using green principles have gained recent attention. Antibiofouling agents based on the biological source are now extensively studied due to their high efficacy and are environmentally friendly. In this present study, Poly Acrylo Nitrile (PAN)/Ulvan hollow fibre membranes of four different modules were fabricated for water treatment studies by testing against B. subtilis and E. coli along with separation efficiency studies on proteins such as albumin, pepsin, and clay. Ulvan (Ulv), green seaweed sulfated polysaccharide extracted from Ulva fasciata, was coated on PAN hollow fibres, fabricated using a wet-spinning process. Ulvan was dip-coated on membrane surface followed by cross-linking and resultant changes in terms of performance and morphology. PAN/Ulv hollow fibre membranes were examined for the pure water flux and protein separation analysis to analyse the membrane efficiency. SEM was used to analyse the membrane structure and ATR- FTIR for the determination of functional groups. Ulvan coated (310 C) hollow fibre membrane showed better performance than the other three membranes with a flux of 398.1 L m−2 h−1. Higher sample concentration of suspended solids paved simpler route for enhanced COD sequestration efficacy. Pepsin, albumin, and clay particles were rejected by the 310C Ulvan adorned membranes at rates greater than 80%. By incrementing suspended particles beyond 3200 mg/L, the greatest power recovery was reduced that portrays an adverse influence of bio-fouling process on membrane operation. Experimental results demonstrated that synthesised 310 C membrane possessed better separation performance and antifouling characteristics for aquatic water systems.

Determining the green technology innovation accelator and natural resources towards decarbonization for the EU countries: evidence from MMQR

Gearing up for green technology innovation (GTI) and natural resources has become even more important in the transition to a zero-emission life, a green economy, and sustainable development goals. This attempt has become a situation that needs to be overpowered much sooner by the European countries, which have encountered challenges in many ways, especially regarding natural resources, energy supply, and the climate crisis. In this vein, the current study follows the novel, robust Method of Moment Quantile-Regression (MM-QR), which successfully yields heterogeneous information structure across quantiles, to examine the determinants of GTI for 15 EU countries over the period of 2003–2018. MM-QR estimation results indicate that the determinants of green technology innovation are heterogeneous across the EU countries. While green growth (GG) has an adverse impact on GTI in middle- and high-GTI countries, the effect of ecological footprint on GTI is positive for countries in the highest-GTI countries. The positive effects of financial development (FD) on GTI are revealed for all countries. Remarkably, environmental taxes have an adverse and positive influence on GTI in the lowest and highest quantile countries, respectively. Finally, renewable energy and greenfield FDI have no effect on GTI. Governments can promote GTI by providing financial resources, in the most immaculate way, to firms that engage in green technology projects, as well as by encouraging these through environmental taxes.

How do family adversity and youth stressful experiences lead to adult economic adversity? An integration of multiple life course mechanisms

ABSTRACT The primary objective of the present study was to apply multiple life course mechanisms, drawn from the life course epidemiological perspective, to explain the long-term influence of family socioeconomic adversity and adolescent stressful life events on adult economic adversity. The study used prospective data over 13 years from 11,075 adolescents from the Adolescent to Adult Health Study (Add Health). First, we developed a comprehensive life course model by integrating causal and temporal relationships among different life course processes and pathways discussed in previous research. Specifically, the findings provided evidence for the long-term influence of family socioeconomic adversity on adult economic adversity through life-stage specific stressful life events and depressive symptoms. This connection occurred through various risk pathways such as the clustering of risk, risk cascading, and cumulative exposure. Such integrated models are well suited to investigate life course stressors and can be used as broad analytical frameworks for life course developmental studies. Thus, the present study has served substantive, illustrative, and methodological purposes. The study findings suggest that to improve adult wellbeing, programmes and policies focusing on early life adversities and stressors are important.

The effect of childhood sexual abuse on depressive symptoms in female college students: a serial mediation model.

Childhood sexual abuse (CSA) can have a negative impact on women's psychological, emotional and social functioning. The purpose of this study was to explore the relationship between CSA and depressive symptoms in female college students, as well as the mediating roles of negative core schema and experiential avoidance. 515 female college students responded to the Sexual Abuse subscale of the Childhood Trauma Questionnaire, the Depression subscale of the Depression Anxiety Stress Scale, the Brief Core Schema Scales, and the Acceptance and Action Questionnaire - II. The structural equation modeling was used for the mediation analysis. There was a significant positive correlation between CSA and depressive symptoms in female college students. The theoretical model was well fitted, χ2/df = 3.422, RMSEA = 0.069, CFI = 0.929, TLI = 0.919. The negative core schema played a mediating role between CSA and depressive symptoms. Experiential avoidance played a mediating role between CSA and depressive symptoms. The negative core schema and experiential avoidance played a serial mediating role between CSA and depressive symptoms. These results deepen our understanding of the relationship between CSA and depressive symptoms in female college students, and provide theoretical guidance for the prevention of depression in female college students. Attention should be paid to female college students who have experienced CSA, to eliminate the adverse influence of negative core schema on these students. Meanwhile, we should teach female college students to accept themselves as they are, and thereby reduce their use of experiential avoidance strategies.

Role of Households’ Wealth and Maternal Education in Early Child Development: A Case Study of Punjab, Pakistan

Children under the age of five are exposed to several hazards in developing countries, such as poverty, inadequate housing, and unstimulating home environments, which have an adverse influence on their cognitive and socio-emotional development. Since learning during adulthood is influenced by earlier developmental stages, these formative years are crucial in shaping a successful adult life. Therefore, the study intends to investigate what causes some children to perform worse than other children of the same age. It utilises data from the Multiple Indicator Cluster Survey (MICS) 2017-18 of 4,043 children from Punjab, Pakistan. Binary Logistic Regression was used for analysis and it demonstrated a positive relationship between early child development, wealth, maternal education, and home stimulating activities with all three measures of child development which include child identification of alphabets, reading at least four popular words, and recognition of numbers or shapes. The result of the study suggests that it is an urgent need of the hour to focus to women’s education and take steps to mitigate poverty in order to enable parents to provide their children with a better learning environment. JEL Classification Codes: I250, H75, P36, J13.

Differentially Expressed Genes Involved in Primary Resistance to Immunotherapy in Patients with Advanced-Stage Pulmonary Cancer.

In the last few years, nivolumab has become the standard of care for advanced-stage lung cancer patients. Unfortunately, up to 60% of patients do not respond to this treatment. In our study, we identified variations in gene expression related to primary resistance to immunotherapy. Bronchoscopy biopsies were obtained from advanced non-small cell lung cancer (NSCLC) patients previously characterized as responders or non-responders after nivolumab treatment. Ten tumor biopsies (from three responders and seven non-responders) were analyzed by the differential expression of 760 genes using the NanoString nCounter platform. These genes are known to be involved in the response to anti-PD1/PD-L1 therapy. All the patients were treated with nivolumab. Examining the dysregulated expression of 24 genes made it possible to predict the response to nivolumab treatment. Supervised analysis of the gene expression profile (GEP) revealed that responder patients had significantly higher levels of expression of CXCL11, NT5E, KLRK1, CD3G, GZMA, IDO1, LCK, CXCL9, GNLY, ITGAL, HLA-DRB1, CXCR6, IFNG, CD8A, ITK, B2M, HLA-B, and HLA-A than did non-responder patients. In contrast, PNOC, CD19, TP73, ARG1, FCRL2, and PTGER1 genes had significantly lower expression levels than non-responder patients. These findings were validated as predictive biomarkers in an independent series of 201 patients treated with nivolumab (22 hepatocellular carcinomas, 14 non-squamous cell lung carcinomas, 5 head and neck squamous cell carcinomas, 1 ureter/renal pelvis carcinoma, 120 melanomas, 4 bladder carcinomas, 31 renal cell carcinomas, and 4 squamous cell lung carcinomas). ROC curve analysis showed that the expression levels of ITK, NT5E, ITGAL, and CD8A were the best predictors of response to nivolumab. Further, 13/24 genes showed an adverse impact on overall survival (OS) in an independent, large series of patients with NSCLC (2166 cases). In summary, we found a strong association between the global GEP of advanced NSCLC and the response to nivolumab. The classification of NSCLC patients based on GEP enabled us to identify those patients who genuinely benefited from treatment with immune checkpoint inhibitors (ICIs). We also demonstrated that abnormal expression of most of the markers comprising the genomic signature has an adverse influence on OS, making them significant markers for therapeutic decision-making. Additional prospective studies in larger series of patients are required to confirm the clinical utility of these biomarkers.

What is lignin - the evolution of views (review)

The review considers changes in ideas about the biosynthesis, structure and functions of lignin in plants, starting from early mentions and up to the present. Alternative points of view on the process of lignin biosynthesis, its spatial and supramolecular structure, and the nature of lignincarbohydrate bonds are presented. 
 A special place in the review is occupied by the results of studies of lignin modification with the aim of reducing the content and changing the composition of monomer units by genetic engineering methods. Comparison of the structure of lignins isolated from transgenic and mutant trees, as well as herbaceous plants, showed that lignin biosynthesis is plastic and, in addition to canonical monolignols (coniferyl, synapic, and coumaric alcohols), other phenolic compounds can also participate in it.
 The study of the so-called "stress lignins" showed that lignin plays an important role in protecting plants from adverse environmental influences: mechanical damage, drought, low temperatures, pathogens, etc.
 The results of studies of the genetic modification of lignin made it possible to outline a program for directed modification of the biosynthesis process in order to obtain designer lignins, i.e. lignins with desired properties. This group also includes the so-called zip-lignins. They are distinguished by the presence of ester bonds between phenylpropane units.
 It is noted that, when conducting research in the field of genetic engineering, it is necessary to find a compromise between improving the processing of plant materials due to the modification of lignin and the viability of transgenic plants.

The Relation Between Classroom Adversity and Students’ Problem Behavior as a Function of Teachers’ Emotional Support

The purpose of this study was to examine the relation between teachers’ reports of classroom adversity, a measure of classroom hardship, and student problem behavior in a sample of students with or at risk of emotional/behavioral disorders. We also examined the extent to which this relation varied as a function of multiple domains of classroom quality. A series of multiple regression models, adjusting for the nesting of students within classrooms, were conducted. Models revealed a significant effect of the interaction between classroom adversity and classroom emotional support on teachers’ reports of student problem behaviors. This effect indicated that in low-adversity classrooms, teachers differed in their reports of students’ problem behaviors depending on their level of emotional support. In high-adversity classrooms, however, teachers’ reports of students’ problem behaviors were relatively similar regardless of their level of emotional support. Findings suggest classroom adversity is likely an important contextual factor to consider when examining student outcomes and that teacher emotional support may mitigate the influence of classroom adversity. We conclude with a discussion of the implications of this work for research and practice.