Complexity Of Function Research Articles

Properties of a ternary infinite word

We study the properties of the ternary infinite word p = 012102101021012101021012⋯, that is, the fixed point of the map h : 0 → 01, 1 → 21, 2 → 0. We determine its factor complexity, critical exponent, and prove that it is 2-balanced. We compute its abelian complexity and determine the lengths of its bispecial factors. Finally, we give a characterization of p in terms of avoided factors.

The relationship between dietary complexity and cognitive function in Guangxi, China: A cross-sectional study.

The composition of the human diet is complex and diverse, and the relation-ship between dietary composition and cognitive decline has not been adequately studied. Therefore, this study explored the possible association between food items and the risk of cognitive impairment. This cross-sectional study was based on an ecological longevity cohort and included 2881 participants (1086 men and 1795 women) aged ≥30 years between December 2018 and November 2019. The association between food items and the risk of cognitive impairment was explored using the Bayesian kernel machine regression (BKMR) learning model. Finally, 2881 participants (1086 men and 1795 women) were included. In all participants, the multivariable logistic analysis showed that fresh fruit consumption was associated with cognitive function (OR=0.999, 95% CI: 0.998-0.999, p=0.021). Using the BKMR model, none of the 18 food items were significantly correlated with cognitive function among women. In men, when the other food items were fixed at the 25th, 50th, and 75th percentile values (P25, estimate=-0.239; P50, estimate=-0.210; P75, estimate=-0.158), there was a negative correlation between fresh fruit consumption and the predicted risk of cognitive function disorders. Men displayed a negative association be-tween fresh fruit consumption and the risk of cognitive function disorders, but this was not apparent among women.

Regime Complexity as an Asset? The Negotiations of the Arms Trade Treaty

AbstractThe Arms Trade Treaty (ATT) is an important milestone in reducing the illicit trade of arms but was highly unlikely to be negotiated and passed. Major powers and states exporting and importing arms were not keen on universally binding regulations, leading to political stalemate in the initial negotiation arena, the Conference on Disarmament. This article investigates under which conditions regime complexity had a positive influence on the ATT negotiation dynamics and result. We distinguish between two types of regime complexity, each providing states with a distinct window of opportunity during international negotiations: horizontal regime complexity can allow states to overcome negotiation gridlock by changing the institutional conditions for passing an agreement. Vertical regime complexity can allow regional organizations to turn into agents of change by bringing in experiences gained on the regional level to the international negotiation table. Our empirical analysis of the ATT negotiations revealed critical scope conditions under which both forms of regime complexity function properly, allowing the negotiations to overcome negotiation gridlock and resulting in the passing of the accord beyond a lowest common denominator. The article contributes to the rich and vibrant scholarship in regime complexity and global governance complexes by making a novel analytical distinction between horizontal and vertical regime complexity and by identifying the opportunity structures under which regime complexity can have positive effects on the negotiation and outcome of international treaties.

Scale for codimension growth of Poisson PI-algebras

A. Regev proved that the codimension growth of an associative PI-algebra is at most exponential. The author established a scale for the codimension growth of Lie PI-algebras, which includes a series of functions between exponential and factorial functions. We prove that the same scale stratifies the ordinary codimension growth of Poisson PI-algebras satisfying Lie identical relations. As a byproduct, we obtain a new bound on the codimension growth of Lie PI-algebras in terms of complexity functions. We also study very fast codimension growth of some Poisson algebras without Lie identities. We essentially use techniques of exponential generating functions and growth of respective fast growing entire functions.

Biological, structural and functional responses of tropical forests to environmental factors

As compared to temperate and boreal forests, the majority of tropical forests are biodiverse, structurally-complex and high-functioning ecosystems, yet their potential attributes are vulnerable to anthropogenic disturbances and environmental factors. Here, we hypothesize that the biological, structural and functional attributes of tropical forests respond to water-related climatic and soil nutrient-related factors. Thus, we quantified 27 forest attributes and 20 environmental factors across 189 plots of Sri Lankan tropical forests. Our results suggest that environmental conditions were characterized by both water-related and temperature-related factors, and as such, both coarse-textured and compacted-structured soils determined soil conditions. Forest conditions were characterized by high species-functional diversity, structural complexity and aboveground biomass-related functions. We found strong positive effects of water-related climatic factors (particularly mean annual precipitation) followed by temperature-related climatic factors (i.e., growing degree days) but negligible positive to negative effects of textured-related (i.e., gravel contents) and nutrient-related (i.e., bulk density) soil factors on most of the biological, structural and functional attributes. Overall the biodiversity and carbon stocks of Sri Lankan tropical forests are likely to increase with water-energy balance and improved soil conditions, and thus, studied forests could offset a substantial quantity of anthropogenic carbon emissions to achieve carbon neutrality which can have both regional and global significance if protected from anthropogenic disturbances. Broadly, this study suggests that conservation practices should consider multiple environmental and biotic attributes of the tropical forests during forest management which can have a win-win situation for biodiversity conservation and climate change mitigation.

Higher pH is associated with enhanced co-occurrence network complexity, stability and nutrient cycling functions in the rice rhizosphere microbiome.

The rice rhizosphere microbiota is crucial for crop yields and nutrient use efficiency. However, little is known about how co-occurrence patterns, keystone taxa and functional gene assemblages relate to soil pH in the rice rhizosphere soils. Using shotgun metagenome analysis, the rice rhizosphere microbiome was investigated across 28 rice fields in east-central China. At higher pH sites, the taxonomic co-occurrence network of rhizosphere soils was more complex and compact, as defined by higher average degree, graph density and complexity. Network stability was greatest at medium pH (6.5 < pH < 7.5), followed by high pH (7.5 < pH). Keystone taxa were more abundant at higher pH and correlated significantly with key ecosystem functions. Overall functional genes involved in C, N, P and S cycling were at a higher relative abundance in higher pH rhizosphere soils, excepting C degradation genes (e.g. key genes involved in starch, cellulose, chitin and lignin degradation). Our results suggest that the rice rhizosphere soil microbial network is more complex and stable at higher pH, possibly indicating increased efficiency of nutrient cycling. These observations may indicate routes towards more efficient soil management and understanding of the potential effects of soil acidification on the rice rhizosphere system.

On balanced and abelian properties of circular words over a ternary alphabet

We revisit the problem of extending the notion of a balanced circular word and focus on the case of a ternary alphabet. Basing on the fact that the upper bound for the abelian complexity of balanced ternary words is 3 we provide a classification of all circular words over a ternary alphabet with abelian complexity subject to this bound. This result also allows us to construct an uncountable set of bi-infinite aperiodic words with abelian complexity equal to 3.

Complexity of circulant graphs with non-fixed jumps, its arithmetic properties and asymptotics

In the present paper, we investigate a family of circulant graphs with non-fixed jumpsGn= Cβn(s1, ... , sk, α1n, ... , αln), 1 ≤ s1&lt; ... &lt; sk≤ [βn/2], 1 ≤ α1&lt; ... &lt; αl ≤ [β/2]. Here n is an arbitrary large natural number and integers s1, ... , sk, α1, ... , αl are supposed to be fixed.First, we present an explicit formula for the number of spanning trees in the graph Gn. This formula is a product of βsk-1 factors, each given by the n-th Chebyshev polynomial of the first kind evaluated at the roots of some prescribed polynomial of degree sk. Next, we provide some arithmetic properties of the complexity function. We show that the number of spanning trees in Gn can be represented in the form τ(n) = p n a(n)2, where a(n) is an integer sequence and p is a prescribed natural number depending of parity of β and n. Finally, we find an asymptotic formula for τ(n) through the Mahler measure of the associated Laurent polynomials differing by a constant from 2k - ∑i = 1k(zsi+z−si).

Three-Dimensional in Vitro Models: A Promising Tool To Scale-Up Breast Cancer Research.

Common models used in breast cancer studies, including two-dimensional (2D) cultures and animal models, do not precisely model all aspects of breast tumors. These models do not well simulate the cell-cell and cell-stromal interactions required for normal tumor growth in the body and lake tumor like microenvironment. Three-dimensional (3D) cell culture models are novel approaches to studying breast cancer. They do not have the restrictions of these conventional models and are able to recapitulate the structural architecture, complexity, and specific function of breast tumors and provide similar in vivo responses to therapeutic regimens. These models can be a link between former traditional 2D culture and in vivo models and are necessary for further studies in cancer. This review attempts to summarize the most common 3D in vitro models used in breast cancer studies, including scaffold-free (spheroid and organoid), scaffold-based, and chip-based models, particularly focused on the basic and translational application of these 3D models in drug screening and the tumor microenvironment in breast cancer.

Image super-resolution: A comprehensive review, recent trends, challenges and applications

Super resolution (SR) is an eminent system in the field of computer vison and image processing to improve the visual perception of the poor-quality images. The key objective of image super resolution is to address the limitations of imaging systems mainly due to hardware problems and requirements for clinical processing of medical imaging using post-processing operations. Numerous super resolution strategies have been put-forward in the computer vision community to improve and achieve high-resolution images over the years. In the past few years, there has been a significant advancement in image super-resolution algorithms. This paper aims to provide the detailed survey on recent advancements in image super-resolution in terms of traditional, deep learning and the latest transformer-based algorithms. The in-depth taxonomy of broadly classified super-resolution techniques within these categories has been broadly discussed. An extensive survey has been carried out on deep learning techniques in terms of parameters, architecture, network complexity, depth, learning rate, framework, optimization, and loss function. Furthermore, we also address some of the significant parameters such as problem definition, evaluation metrics, publicly benchmarks datasets, loss functions and applications. In addition, we have performed an experimental analysis and comparison of various benchmark algorithms on publicly available datasets both qualitively and quantitively. Lastly, we conclude our survey by emphasizing some of the prospective future directions and open issues that the community need to address in the future.

On the 2-abelian complexity of generalized Cantor sequences

In this paper, we study the generalized Cantor sequence c, which is an ℓ-automatic sequence. We prove that the abelian complexity of the 2-block sequence of c is ℓ-regular if the factor set of the sequence c is mirror invariant. As a consequence, we show that the 2-abelian complexity of a generalized Cantor sequence satisfying certain conditions is ℓ-regular.

Gene Expression Programming (GEP) Modelling of Sustainable Building Materials including Mineral Admixtures for Novel Solutions

In this study, the employment of the gene expression programming (GEP) technique in forecasting models on sustainable construction materials including mineral admixtures and civil engineering quantities (e.g., compressive strength), was investigated. Compared to the artificial neural networks (ANN) based formulations, which are often too complicated to be used, GEP-based derived models provide estimation equations that are reasonably simple and may be used for practical design purposes and even for hand calculations. Many popular models, such as best-fitted curves based on regression analyses, multi-linear regression (MLR), multinomial logistic regression (MNLR), and multinomial variate regression (MNVR), can also be used for construction materials properties modeling. However, due to the nonlinearity and complexity of the target properties, the models established using linear regression analyses may not reveal the precise behavior. Additionally, regression models lack generality, and this comes from the fact that some functions are defined for regression in classical regression techniques; while in the GEP approach, there is no predefined function to be considered, and it reproduces or omits various combinations of parameters to provide the formulation that fits the experimental outcomes. If the input parameters can be evaluated through simple laboratory or rapid measurements, and also a comprehensive experimental database is made available, the models can be constructed with optimal flexibility. Flexibility in choosing the complexity and fitness functions, such as RMSE, MAE, and MSE, might lead to better performance of the approach and well-capturing the governing pattern behind the material’s characteristics. There may be minor inaccuracies with this technique; however, the explicit mathematical expressions, which can be easily implemented in the design and analysis process, may cover the minor inaccuracies compared to ANN, support vector machine (SVM), and other intelligent approaches. Based on the presented study, sometimes it would be better to provide more than one GEP model and consider different combinations of input contributing variables to afford the possible initial feed for a more settled and comprehensive model. Mostly, GEP’s strengths as a superior machine learning technique in modeling the behavior of construction materials including mineral admixtures, leading to innovative solutions in civil engineering, have been presented.

Abstract B012: Visualization of EWSR1’s colocalization with phosphorylated RNA-Polymerase II reveals its concentration at a subset of active regions of transcription in ewing sarcoma cells

Abstract EWSR1, a member of the FET protein family, contains low complexity and nucleic acid binding domains and functions in transcription regulation and RNA metabolism. Recent biochemical and EWSR1-depletion studies demonstrated that EWSR1 regulates critical phosphorylation events that control basal transcription. In Ewing sarcoma (EWS) cells, the interaction of EWSR1 and the fusion oncoprotein EWS-FLI1 results in EWSR1 no longer functioning as an effective regulator of transcription, which following DNA damage, enhances R-loop formation. To further elucidate EWSR1’s function in EWS and its contribution to EWS-FLI1’s deregulation of gene expression, we have generated reporter systems to visualize and quantify its endogenous expression within EWS cells. We used CRISPR-Cas9 and sgRNAs targeting sequences at the 5’ end of the first exon of EWSR1 to insert a fluorescent mNeonGreen (mNG) reporter gene into the EWSR1 loci of A673 or TC-32 EWS cell lines. We employed sequencing and RNAi-based analysis to identify and validate successfully modified clones. All modified clones harbored insertions into the unrearranged EWSR1 allele. We then employed super-resolution confocal microscopy to assess EWSR1’s localization in EWS cells. Analysis of modified EWS-cells showed mNG-EWSR1 forms puncta, restricted to the nucleoplasm, consistent with a nuclear protein in an active state. A subset of puncta exhibits a high density (HD) mNG-EWSR1 signal, defined by fluorescence at least twice the background signal. Our results show minimal colocalization of mNG-EWSR1 (total or HD) and a marker of chromatin accessibility, H3K27Ac. A small percentage (~5%) of total Ser5-phosphorylated RNA-pol II (pS5-RP-II), a marker of transcription initiation, colocalizes with total mNG-EWSR1, but critically the HD mNG-EWSR1 puncta all colocalize with pS5-RP-II. About 20% of total Ser2-phosphorylated RNA-pol II (pS2-RP-II), a marker of transcription elongation colocalizes with total mNG-EWSR1. As observed for pS5-RP-II, 100% of HD-mNG-EWSR1 puncta colocalize with pS2-RP-II. Finally, when we examined nuclear speckle structures (SC35/SRSF2 &amp;gt;200 µm), we observed a 20% overlap in their signals. We have seen comparable results using the mNG-EWSR1 expressing A673 cells. These findings demonstrate image-based quantification of endogenous EWSR1’s colocalization with RNA-polymerase II within EWS cells. Overall, EWSR1 colocalizes with about 20% of RNA-pol II in a state consistent with active transcription, and over 90% of high-density EWSR1 colocalizes with phosphorylated RNA pol II. Ongoing studies will assess changes in the distribution of EWSR1’s interactions with different proteins following inhibition of RNA-pol II phosphorylation, alterations in EWS-FLI1 expression, or the disruption of low complexity domain interactions. We anticipate findings from these studies will offer critical insights into the functional interactions that EWSR1 contributes to regulating gene expression in EWS cells. Citation Format: Natasha J. Caplen, Soumya Sundara Rajan, Vernon Ebegboni, Tamara L. Jones, Michael J. Kruhlak, Jan Wisniewski, Patricio Pichling, Katelyn R. Ludwig, Javed Khan, Raj Chari. Visualization of EWSR1’s colocalization with phosphorylated RNA-Polymerase II reveals its concentration at a subset of active regions of transcription in ewing sarcoma cells [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr B012.

Regional cytoarchitecture of the adult and developing mouse enteric nervous system

The organization and cellular composition of tissues are key determinants of their biological function. In the mammalian gastrointestinal (GI) tract, the enteric nervous system (ENS) intercalates between muscular and epithelial layers of the gut wall and can control GI function independent of central nervous system (CNS) input.1 As in the CNS, distinct regions of the GI tract are highly specialized and support diverse functions, yet the regional and spatial organization of the ENS remains poorly characterized.2 Cellular arrangements,3,4 circuit connectivity patterns,5,6 and diverse cell types7-9 are known to underpin ENS functional complexity and GI function, but enteric neurons are most typically described only as a uniform meshwork of interconnected ganglia. Here, we present a bird's eye view of the mouse ENS, describing its previously underappreciated cytoarchitecture and regional variation. We visually and computationally demonstrate that enteric neurons are organized in circumferential neuronal stripes. This organization emerges gradually during the perinatal period, with neuronal stripe formation in the small intestine (SI) preceding that in the colon. The width of neuronal stripes varies throughout the length of the GI tract, and distinct neuronal subtypes differentially populate specific regions of the GI tract, with stark contrasts between SI and colon as well as within subregions of each. This characterization provides a blueprint for future understanding of region-specific GI function and identifying ENS structural correlates of diverse GI disorders.

Effect of water chemistry on nitrogen transformation, dissolved organic matter composition and microbial community structure in hyporheic zone sediment columns

Controlled surface water systems, including those with dams lead to dynamic stage changes that alter the fluctuation directions of flow exchange in the hyporheic zones (HZ). However, the nitrogen transformation, dissolved organic matter (DOM) composition, and microbial community responding to variable scenarios of water source and hyporheic exchange are poorly studied. The present work investigated nitrogen transformation in HZ sediments, focusing on how microbial community structure and biological functions related to nitrogen transformation and sediment-attached DOM compositions. Upwelling of synthesized groundwater, downwelling of synthesized river water and exchangeable elution of both feed water created distinct microbial zonation and N-transformation processes. Mixing of river water and groundwater enhanced microbial diversity, microbial co-occurrence network complexity and N-transformation functions. In terms of the sediment-attached DOM properties after hyporheic exchanges, humic fractions occupied the predominant chromophoric DOM. Correlation analysis implied that there were more DOM properties, e.g., tryptophan-like proteins, humic-like fractions, and the source of humic fractions, involved in affecting the microbial community under downwelling flow. Co-occurrence network analysis verified that fluorescent components, protein-like and lignin-like fractions in sediment-detached DOM were clustered with microbial communities in one module in downwelling column, implying closer interactions among microbial communities and DOM fractions. The strains of Nitrospinae, Dinghuibacter, and Lentimicrobium etc. were key species collaborating to metabolize both nitrogen and DOM in HZ sediments. The work provides insights into how the nitrogen transformation, DOM compositional changes, as well as the linkages between community structure and DOM factions, response to the changes in water chemistry, leading to valuable insights into hyporheic zone functions.

Enhancing network complexity and function of soil bacteria by thiourea-modified biochar under cadmium stress in post-mining area.

Cadmium (Cd) pollution cause severe stress to soil microorganisms and biochar utilized for its ability to immobilize Cd in the soil effectively. However, the influence of biochar on the structure and function of the bacterial network under Cd stress is unclear. This research reports a pot experiment conducted to investigate the impact of 2.0% Italian poplar bark biochar (PB), 2.0% thiourea-modified biochar (TP), and control treatment (CK) on the complexity, stability and functional properties of the bacterial community under Cd stress. The results showed that: (1) Biochar increased the diversity of soil bacterial consortia under Cd stress (p<0.05), and the diversity index demonstrated as order of CK<PB<TP; (2) Compared with CK network, the nodes number of PB and TP treatments networks were much higher, while the modularity and transitivity increased by 0.04% and 37.6%, 2.45% and 1.12%, respectively. The biochar amendment increased the stability and complexity of the network; (3) PICRUSt2 prediction results show that Xenobiotics biodegradation and metabolism membrane transport of TP treatment increased 62.52% and 53.62% compared with CK, respectively, which could be related to the decrease in Cd content according to principal component analysis. (4) The reduction of leaching Cd content caused network complexity and bacterial function changes by biochar amendment. TP amendment enhanced the complexity and stability of soil bacterial community under Cd stress, which will provide a scientific basis for in situ remediations of Cd-contaminated soils.

Guest column: A panorama of counting problems the decision version of which is in P 3

Since Valiant's seminal work, where the complexity class #P was defined, much research has been done on counting complexity, from various perspectives. A question that permeates many of these efforts concerns the approximability of counting problems, in particular which of them admit an efficient approximation scheme ( fpras ). A counting problem (a function from Σ * to N) that admits an fpras must necessarily have an easy way to decide whether the output value is nonzero. Having this in mind, we focus our attention on classes of counting problems, the decision version of which is in P (or in RP). We discuss structural characterizations for classes of such problems under various lenses: Cook and Karp reductions, path counting in non-deterministic Turing machines, approximability and approximation-preserving reductions, easy decision by randomization, descriptive complexity, and interval-size functions. We end up with a rich landscape inside #P, revealing a number of inclusions and separations among complexity classes of easy-to-decide counting problems.

Extraction from Present Participle Adjuncts: The Relevance of the Corresponding Declaratives

In this article, I will argue that many of the theoretical approaches to extraction from participle adjunct islands suffer from the fact that the focus of investigation lies on perceived grammaticality differences in interrogative structures. Following approaches which make an explicit connection between extraction asymmetries and properties of the underlying proposition, I will argue that there is good evidence for the existence of similar differences in declarative adjunct constructions which can explain most of the grammaticality patterns observed for interrogatives. A crucial distinction to the majority of previous theories is the focus on acceptability rather than grammaticality, and the assumption that acceptability in declaratives is determined by a variety of semantic and syntactic complexity factors which do not influence how strongly extraction degrades the structure. This line of argumentation is more compatible with approaches to island phenomena that explain the low acceptability of some extractions by independent effects such as processing complexity and discourse function instead of syntactic principles blocking the extraction. I will also discuss a partially weighted, multifactorial model for the acceptability of declarative and interrogative participle adjunct constructions, which explains the judgment patterns in the literature without the need for additional, complex licensing conditions for extraction.

Tree Diversity Enhance Species Richness of Beneficial Insect in Experimental Biodiversity Enrichment in Oil Palm Plantation

Integrating plantation landscape with vegetation/tree diversity has been proposed as a strategy to maintain crop production (for livelihood) while increasing biodiversity, habitat complexity and ecological functions. The objective of this research was to investigate the influence of tree biodiversity in experimental biodiversity enrichment in oil palm plantation to beneficial insects, especially ants and parasitoid wasps in the EFForTS-BEE research plot. Beneficial insects in experimental enrichment oil palm plantation are very important to be studied so that ecosystem services that are related with the changes of the plant structures over time can be understood better. Insect collections were done in two years, 2018 and 2019. Direct sampling was used to collect actual insects, pitfall traps to trap ground dwelling insects, yellow pan traps and malaise trap to trap low-flying insects, and sweep net to collect general insects. Overall, we collected 76 species of 6423 individual ants, and 174 morphospecies of 867 parasitoid wasps in this research. Abundance of ants and parasitoid wasps were not influenced either by tree diversity level in the plot nor the various plant diversity. In contrast, tree diversity level has strongly influenced species richness of ants and partially affected species richness of parasitoid wasps. In conclusion, there are positive correlation between ants’ and parasitoid wasps’ species richness and vegetation abundance.

Abstract 2053: Phenotypic and functional analyses of response of lung tumor-associated myeloid cells to systemic oncolytic virotherapy

Abstract Introduction: Oncolytic virotherapy represents a promising cancer treatment modality. One of the appeals of oncolytic virotherapy approaches is the capacity of viruses to change tumor microenvironment, frequently interpreted as de-polarization of tumor-associated macrophages (TAMs) from highly pro-tumorigenic to less pro-tumorigenic phenotypes. The goal of this study was to analyze how systemic therapy with oncolytic adenovirus AVID-317 modulates complexity, phenotypes, and pro-tumorigenic function of tumor-associated myeloid cells in a mouse model of orthotopic metastatic lung cancer. Methods: We utilized single cell RNAseq and a 37-marker mass-cytometry (Cy-TOF) analyses to explore phenotypic and functional states of distinct myeloid cell populations in the lungs of tumor-bearing mice before and after virotherapy. We further performed correlation analyses to reveal functional contribution of each identified myeloid cell population to tumor control or tumor progression after virotherapy on a large groups of mice treated with the virus (N=43) or buffer (N=23). Summary of the results: Our phenotypic immunoprofiling identified 13 discrete TAM and DCs cell populations and 5 discrete populations of granulocytic cells, which were present in the lungs of lung tumor-bearing mice prior to virotherapy treatment. We found that in all TAM populations, the expression of CD274, ARG1, IL-10, and surprisingly, CD127 correlated with a higher tumor burden. In 7 out of 13 TAM populations, virotherapy further increased the expression of these pro-tumorigenic markers. Moreover, virotherapy led to a significant increase in the abundance of TAMs that correlated with tumor burden increase. In addition, in response to virotherapy, TAMs increased the expression of pro-tumorigenic growth factors. These data indicate the virotherapy indeed activated TAMs but did not trigger their de-polarization to lesser pro-tumorigenic phenotypes. To find whether virus-induced tumor cell death may drive TAM activation, we next treated tumor-bearing mice with a UV-inactivated AVID-317 virus that lacks the capacity of killing tumor cells. Our analyses confirmed that virus-mediated tumor cells death but not the exposure of TAMs to the virus drives TAM activation. Conclusion: Our analyses showed that oncolytic virotherapy activates TAMs, which in response produce pro-tumorigenic growth factors that may promote tumor progression. Our findings do not support the universal assumption of de-polarization of TAMs to a lesser pro-tumorigenic phenotypes in response to oncolytic virotherapy. The clinical success of oncolytic virotherapy will require careful consideration of the TAM activation in response to virotherapy and finding effective drug combinations to suppress pro-tumorigenic function of myeloid cells prior to administration of viruses with potent anti-tumor activity. Citation Format: Svetlana Atasheva, Jia Yao, Dmitry Shayakhmetov. Phenotypic and functional analyses of response of lung tumor-associated myeloid cells to systemic oncolytic virotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2053.