Adaptive Component Research Articles

Avian Innate and Adaptive Immune Components: A Comprehensive Review

This article provides a comprehensive classical overview of the avian immune system, highlighting its unique components and functions. Although fundamentally similar to mammals, the avian immune system possesses distinct features in its tissues, cells, molecules, and genes. The study elaborates on the innate and adaptive immune components and critical functions in birds, detailing and artistically drawing the various organs such as the Bursa of Fabricius, thymus, spleen, and Harderian gland and cells involved in immunity. It discusses the role of innate immune cells and molecules along with the significance of B-and T lymphocytes immunoglobulins, antigen-presenting cells (APCs), especially macrophages and dendritic cells (DCs) and their related cytokines, including interleukins (ILs), emphasizing their crucial role in adaptive immunity especially activating various T lymphocytes. The article also underscores the complexity and efficiency of the avian immune system in combating pathogens and highlights the evolutionary adaptations that distinguish those from mammalian immune systems. This knowledge contributes to a better understanding of avian immunology and should go beyond this classical immune system, which is vital for improving disease management and vaccination strategies in birds.

Роль эпителия в патогенезе хронического риносинусита с назальными полипами: клетки и медиаторы

Chronic rhinosinusitis with nasal polyps is a heterogeneous disease characterized by local inflammation of the upper airways. Inflammation in chronic rhinosinusitis with nasal polyps is divided into 3 main endotypes with different pathophysiology and various forms of inflammation: T1, T2, and T3. Epithelial barrier dysfunction is a common feature in chronic rhinosinusitis induced by endotype-specific cytokines directly and indirectly. The sinonasal epithelium not only functions as a passive barrier but also is an active immunological organ with innate and adaptive components. Violation of the delicate balance of intercellular interactions in the sinonasal epithelium leads to the development of inflammation. The nasal polyp tissue contains numerous populations of immune cells that secrete many different cytokines and chemokines and interact with each other and with cells of the sinonasal epithelium. The most common is the T2 endotype, which is characterized by inflammation of the corresponding type. Inflammatory mediators such as cytokines, chemokines, and their receptors, are potential therapeutic targets for biologics (specific monoclonal antibodies). Several of these drugs have been clinically tested and are already being used in clinical practice. Further studies are aimed at detailing the pathogenetic mechanisms of nasal polyposis, studying the influence of genetic factors on the predisposition to the development of various endotypes, and creating new effective and safe biological preparations for various endotypes of nasal polyposis.

Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning.

Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational resources to track the optimal solutions. Although data-driven evolutionary optimization and Bayesian optimization (BO) approaches have shown promise in solving expensive optimization problems in static environments, the attempts to develop such approaches in dynamic environments remain rarely explored. In this article, we propose a simple yet effective meta-learning-based optimization framework for solving the expensive dynamic optimization problems. This framework is flexible, allowing any off-the-shelf continuously differentiable surrogate model to be used in a plug-in manner, either in data-driven evolutionary optimization or BO approaches. In particular, the framework consists of two unique components: 1) the meta-learning component, in which a gradient-based meta-learning approach is adopted to learn experience (effective model parameters) across different dynamics along the optimization process and 2) the adaptation component, where the learned experience (model parameters) is used as the initial parameters for fast adaptation in the dynamic environment based on few shot samples. By doing so, the optimization process is able to quickly initiate the search in a new environment within a strictly restricted computational budget. Experiments demonstrate the effectiveness of the proposed algorithm framework compared to several state-of-the-art algorithms on common benchmark test problems under different dynamic characteristics.

РУССКИЙ УЧИТЕЛЬ В КАРЕЛЬСКОЙ ДЕРЕВНЕ В КОНЦЕ XIX — НАЧАЛЕ XX ВЕКА: ПРОБЛЕМЫ ИНКУЛЬТУРАЦИИ И АДАПТАЦИИ

The aim of the article is to show the spheres in which the enculturation of Russian teachers took place in the Karelian rural society of the late 19th — early 20th centuries, during the period of rapid growth of this professional group. Teachers, along with other representatives of the emerging rural intelligentsia — priests, feldshers, agronomists, as well as rural administration workers — constituted an ethno-dispersed group of Russians in the territory of Karelia. The novice teacher, carrying out the “Kulturtrager mission”, had to fit into the local society, to gain the understanding and trust of the Karelian peasants in order for the school to solve the problem of strengthening the position of Orthodoxy, role of the Russian language and enlightenment of the Karelian population, to win their loyalty through “soft power” as opposed to forced Russification. To that effect different personal strategies were implemented, the poles of which can be considered to be, on the one hand, acceptance of Karelian cultural peculiarities and enculturation, which became the basis of the adaptation process, and, on the other hand, distancing from the locals, maladaptation and social deformation. Adopting local taboos and behavioral rules, mastering the Karelian language, adjusting school pedagogy to the basic folk ideas of child rearing are typical components of social and professional adaptation of the Karelian village teacher. Based on the reports of teachers and school inspectors, teachers’ publications in the press, travelers’ notes and other sources, it is shown that in everyday life there was a spontaneous, largely situational borrowing of elements of ethnic culture, while in the professional sphere advanced teachers consciously took account of local cultural specifics, which resulted, in particular, in the adjustment of the school calendar and disciplinary practices at school.

Adaptations to family-based treatment for Medicaid-insured adolescents with anorexia nervosa.

Family-based treatment (FBT) is the leading intervention for adolescents with anorexia nervosa (AN); however, it is under researched in socioeconomically disadvantaged and racially diverse youth. Semi-structured interviews were completed with ten FBT clinicians who practice in publicly-funded settings. Interview questions were focused on implementation challenges, overall acceptability and appropriateness of FBT, and naturally-occurring treatment adaptations. Content analysis revealed common themes relating to the implementation of FBT in publicly-funded, community-based settings: acceptability and appropriateness, complexity and learnability, perceived core components of FBT, cultural adaptations, socioeconomic factors, logistical considerations, organizational and systemic barriers, training acceptability, participant's self-efficacy, and telehealth accommodations. The discussed themes offer insights into the implementation of FBT for settings with limited resources, aligning with prior research on clinical adaptations for multicultural patients. Recognizing these themes can guide clinical adjustments and refine the adapted treatment model in real-world settings for patients facing systemic barriers.

Is climate migration successful adaptation or maladaptation? A holistic assessment of outcomes in Kenya

Research is increasingly approaching migration as an adaptation to climate risk. Yet our understanding of the migration-adaptation nexus remains limited, as most studies conceptualize migration as either adaptive or maladaptive and focus on specific aspects of vulnerability. To advance a comprehensive understanding of migration’s successful and maladaptive effects, this study employs a two-dimensional conceptualization of migration outcomes, encompassing a range of vulnerability variables at the migrant and household levels and migrants’ well-being. This framework is applied to the case of drought-influenced migration from agro-pastoralist northern Kenya to the City of Nairobi. Based on semi-structured interviews with 40 long-term migrants, we identify quantitative and qualitative migration-induced changes in the examined variables.The results highlight the complexity of migration outcomes. Effects on the broad range of variables comprising vulnerability’s exposure, sensitivity and adaptive capacity components are mixed. Migrants’ ability to provide their families’ basic needs has improved, although only half of the households could allocate remittances to reconstruct their drought-stricken livelihood sources in northern Kenya. Moreover, the profound change in social-environmental settings induced by migration exposed migrants to unfamiliar risks, such as urban crime, but also to new sources of adaptive capacity, such as knowledge enabling the development of climate-insensitive livelihoods. However, migration’s partial success in reducing vulnerability came at the expense of migrants’ well-being, which diminished drastically. These findings stress the need for fundamental changes in the migration-as-adaptation literature, including a more thorough engagement with the temporalities and scope of migration’s effects on adaptation, greater attention to the tradeoffs that are integral to migration as adaptation, and a shift to analytical frameworks that consider maladaptive effects alongside successful ones. We argue that these changes are essential to develop interventions that maximize migration’s adaptive potential while minimizing its maladaptive effects.

Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing.

Knowledge tracing (KT) refers to predicting learners' performance in the future according to their historical responses, which has become an essential task in intelligent tutoring systems. Most deep learning-based methods usually model the learners' knowledge states via recurrent neural networks (RNNs) or attention mechanisms. Recently emerging graph neural networks (GNNs) assist the KT model to capture the relationships such as question-skill and question-learner. However, non-pairwise and complex higher-order information among responses is ignored. In addition, a single-channel encoded hidden vector struggles to represent multigranularity knowledge states. To tackle the above problems, we propose a novel KT model named dual-channel adaptive scale hypergraph encoders with cross-view contrastive learning (HyperKT). Specifically, we design an adaptive scale hyperedge distillation component for generating knowledge-aware hyperedges and pattern-aware hyperedges that reflect non-pairwise higher-order features among responses. Then, we propose dual-channel hypergraph encoders to capture multigranularity knowledge states from global and local state hypergraphs. The encoders consist of a simplified hypergraph convolution network and a collaborative hypergraph convolution network. To enhance the supervisory signal in the state hypergraphs, we introduce the cross-view contrastive learning mechanism, which performs among state hypergraph views and their transformed line graph views. Extensive experiments on three real-world datasets demonstrate the superior performance of our HyperKT over the state-of-the-art (SOTA).

Adaptive components of low-carbon development of enterprise

Climate change is driving the transformation of enterprise strategy components, including adaptive measures to integrate the principle of low-carbon development into the strategic management system. Accordingly, the article is concerned with systematizing the strategic vision of enterprise development in the context of carbon neutrality, defining the adaptive components of low-carbon development of enterprise. It is noted that the transition to low-carbon development of enterprise as a strategic goal of enterprise is an adaptive period that should become a harmonious complement to the current development strategy of an enterprise. The process of transition to low-carbon development of an enterprise involves establishing its positioning in the market as a climate leader, applying a strategy of conscious consumption was found. A special role belongs to the establishment of climate leadership of enterprises as a low-carbon corporate model of behaviour in the market. This has led to the allocation of such a type of leadership in climate leadership as entrepreneurial leadership. The integration of low-carbon innovations into production processes and the introduction of climate management are considered as ways to establish the climate leadership of enterprises in the context of strengthening environmental safety. The article applied a process approach to the formation of adaptive components of low-carbon development of an enterprise, and found that such components are the determinants, clarification of imperatives, research of behavioural models and proposal of types of management in the context of the enterprise's transition to low-carbon development.

Patient Autonomy in Medical Education: Navigating Ethical Challenges in the Age of Artificial Intelligence.

The increasing integration of Artificial Intelligence (AI) in the medical domain signifies a transformative era in healthcare, with promises of improved diagnostics, treatment, and patient outcomes. However, this rapid technological progress brings a concomitant surge in ethical challenges permeating medical education. This paper explores the crucial role of medical educators in adapting to these changes, ensuring that ethical education remains a central and adaptable component of medical curricula. Medical educators must evolve alongside AI's advancements, becoming stewards of ethical consciousness in an era where algorithms and data-driven decision-making play pivotal roles in patient care. The traditional paradigm of medical education, rooted in foundational ethical principles, must adapt to incorporate the complex ethical considerations introduced by AI. This pedagogical approach fosters dynamic engagement, cultivating a profound ethical awareness among students. It empowers them to critically assess the ethical implications of AI applications in healthcare, including issues related to data privacy, informed consent, algorithmic biases, and technology-mediated patient care. Moreover, the interdisciplinary nature of AI's ethical challenges necessitates collaboration with fields such as computer science, data ethics, law, and social sciences to provide a holistic understanding of the ethical landscape.

Presenting a Structural Model of Factors Affecting Female Students' Adaptation to the School Environment and Comparing It with the Male Model

The present study aimed, on one hand, to propose a model of factors influencing students' adaptation to the school environment and, on the other hand, to compare this model between male and female students. The research method was correlational, and the statistical population consisted of all second-year high school students in Darab city. The research sample was selected using the Morgan Sampling Table and the proportional stratified sampling method. To measure students' adaptation to the school environment, Baker and Siryk’s (1989) School Adaptation Questionnaire, Miller and Brown’s (1999) Self-Regulation Strategies Scale, and Midgley et al.’s (1998) Goal Orientation Questionnaire were used. The data were analyzed using structural equation modeling and independent samples t-test. The results show that the direct effect of goal orientation (β = 0.372) and self-regulation strategies (β = 0.323) on female students' adaptation to the school environment was significant at the level of p = 0.01, and the direct effect of goal orientation on self-regulation strategies (β = 0.547) was statistically significant. The results of the independent samples t-test showed a significant difference between students' gender and the overall score of the School Adaptation Questionnaire (T = 2.203). Additionally, the mean adaptation score of female students to the school environment (M = 107.23) was significantly higher than that of male students (M = 96.14). Goal orientation and self-regulation strategies had a positive and significant impact on students' adaptation to the school environment. In the social adaptation component, male students demonstrated better social and interpersonal skills compared to female students, whereas female students exhibited better academic adaptation than males. Furthermore, in self-regulation strategy components such as acceptance and implementation, male students performed better than females, but in the planning component, females outperformed males.

Mass Spectrometry Applications to Study Human Microbiome.

Microbiotas are an adaptable component of ecosystems, including human ecology. Microorganisms influence the chemistry of their specialized niche, such as the human gut, as well as the chemistry of distant surroundings, such as other areas of the body. Metabolomics based on mass spectrometry (MS) is one of the primary methods for detecting and identifying small compounds generated by the human microbiota, as well as understanding the functional significance of these microbial metabolites. This book chapter gives basic knowledge on the kinds of untargeted mass spectrometry as well as the data types that may be generated in the context of microbiome study. While data analysis remains a barrier, the emphasis is on data analysis methodologies and integrative analysis, particularly the integration of microbiome sequencing data. Mass spectrometry (MS)-based techniques have resurrected culture methods for studying the human gut microbiota, filling in the gaps left by high-throughput sequencing methods in terms of culturing minor populations.

Responsible leadership actions and achievement of societal purpose: Perspectives from the Kenyan health NGO sector

The primary goal of this study was to provide empirical evidence to improve understanding of how responsible leadership actions drive the societal purpose of health non-governmental organisations (NGOs). What impact have such efforts had on organizational performance in terms of achieving societal goals? Although researchers continue to investigate the domain of responsible leadership, none have focused on the health NGO sector, particularly in developing countries, and with a focus on providing evidence-backed adaptation practices for the future. A cross-sectional mixed study approach was applied, with positivist and constructivist phenomenological viewpoints being incorporated. The study respondents were sustainable health system experts working in health NGOs on a national and international scale as well as the health ministry. The perspectives of 33 randomly selected respondents were gathered using a cross-sectional questionnaire survey and 10 purposively selected key informants using open-ended interview questions were empirically and thematically analysed respectively. The findings indicate that responsible leadership embedded on organisational purpose benefits the organisation and adds value to society. Responsible leaders in the studied organisations built trust, used open communication, mindful actions and collective consciousness to positively and effectively engage with their employees. The prospection and future-orientation of responsible leaderships of health NGOs could stimulate adaptive responses in postmodern society, allowing them to deepen sustainable value for society. Leadership actions are an essential component of these NGO adaptation to change. That must be taken into account by managers for smooth adjustments to the changing context, allowing these NGOs to remain relevant and authentic to their organisations’ societal purpose. Despite the fact that researchers are continuing to investigate the domain of responsible leadership, no one has focused on the health NGO sector in developing countries like Kenya. The empirical evidence in this article shows that responsible purpose-driven leadership, combined with responsible actions, has an impact on organisations’ adaptation to contextual changes.

Професійне вигорання працівників органів та підрозділів Державної служби України з надзвичайних ситуацій

Every day, employees of the State Emergency Service of Ukraine perform complex tasks of eliminating the consequences of rocket attacks, clearing debris, rescuing Ukrainian citizens, and ensuring the protection of the population and territories from emergencies. An important scientific and psychological area is the research of the peculiarities of professional burnout of employees of the State Emergency Service of Ukraine in order to develop vectors of psychological correction and psycho-correction in case of its occurrence.The scientific article presents a structural and functional model of the socio-psychological features of professional burnout of employees of the organs and units of the State Emergency Service of Ukraine.The supporting structures for the design of the structural and functional model were: Rybalka-Shevtsov's four-dimensional personality structure and the structural and functional model of psychological mechanisms of social adaptation of young people with musculoskeletal disabilities by I. Chukhriy and A. Shevtsov.Professional burnout is presented in the structural-functional model in the context of considering socio-psychological adaptation (socio-psychological adaptation, resilience, self-efficacy) and socio-psychological maladjustment (socio-psychological maladjustment, professional burnout).External factors that influence the formation of professional burnout among employees of the State Emergency Service of Ukraine include education (availability of secondary specialized, higher, secondary general education); specialized training (peculiarities of training of employees of organs and units of the State Emergency Service of Ukraine); work experience; marital status; and extreme working conditions.Individual psychological factors are grouped as follows: emotional-affective (emotional comfort/emotional discomfort, situational anxiety, personal anxiety, depression, aggressiveness, hostility); communicative (leadership, sociability, reflectivity); cognitive (cognitive processes, reflectivity); behavioral (dominance, escapism, prominence, dependence/independence, sociability/unsociability); motivational and volitional (internal control/external control, prominence, acceptance of struggle/rejection of struggle).The personality structure itself is presented as follows: age, genetic dimension, individual psychological dimension, and activity dimension.It is important to note that the proposed structural-functional model demonstrates the interconnection of all its structural components, and its ascending core is the structure of the specialist's personality, which is formed in the age, genetic, individual psychological and activity dimensions. Through the individual psychological dimension, we have the opportunity to explore the individual psychological factors that influence the emergence of professional burnout as a component of the process of socio-psychological maladjustment, or the formation of socio-psychological adaptability, resilience and self-efficacy as components of socio-psychological adaptation. The external (social) factors that demonstrate the social conditions for the emergence of professional burnout or can act as factors that prevent its emergence (family, career growth opportunities, etc.) are of great importance in the proposed model.

Time-slice dynamic prediction and multiway serial PCA for batch industrial process monitoring

This paper introduces an innovative method for batch industrial process monitoring and fault detection. By combining time-slice dynamic prediction with an enhanced adaptive multiway principal component analysis (PCA) technique, it aims to balance the trade-off between high fault detection rates and low false alarm rates in monitoring batch industrial data. The method extracts dynamic features from 3D batch data time slices and utilizes a serial PCA framework with variable control limits for real-time monitoring. Comparative evaluations against traditional adaptive multiway PCA and dynamic time-slice canonical correlation analysis approaches demonstrate its superior performance. A case study using a novel cold rolling mill simulation model underscores its effectiveness for batch industrial process monitoring and fault detection.

HFA-GTNet: Hierarchical Fusion Adaptive Graph Transformer network for dance action recognition

Dance action recognition is a hot research topic in computer vision. However, current skeleton-based action recognition methods face difficulties in capturing the adequate spatial structure and temporal variations of dance actions, resulting in lower recognition accuracy. In this paper, we propose a Hierarchical Fusion Adaptive Graph Transformer network (HFA-GTNet) for dance action recognition. A Hierarchical Spatial Attention (HSAtt) module is designed to extract different levels of spatial feature information from joint to parts to group, it can effectively learn high-order dependency relationships from local joints to global poses in dance actions. Secondly, to extract the joint variations in dance actions at different speeds, we have designed a Temporal Fusion Attention (TFAtt) module. This module learns the short-term and long-term temporal dependencies among joints across frames. Additionally, to capture the variations in motion patterns and dance styles among different dancers, we introduce an Adaptive Component (AdaptC). Finally, we evaluate our model on two self-built dance datasets, MSDanceAction and InDanceAction, and demonstrate its superior performance compared to other state-of-the-art methods in dance action recognition.

Sex-limited experimental evolution drives transcriptomic divergence in a hermaphrodite.

The evolution of gonochorism from hermaphroditism is linked with the formation of sex chromosomes, as well as the evolution of sex-biased and sex-specific gene expression to allow both sexes to reach their fitness optimum. There is evidence that sexual selection drives the evolution of male-biased gene expression in particular. However, previous research in this area in animals comes from either theoretical models or comparative studies of already old sex chromosomes. We therefore investigated changes in gene expression under 3 different selection regimes for the simultaneous hermaphrodite Macrostomum lignano subjected to sex-limited experimental evolution (i.e. selection for fitness via eggs, sperm, or a control regime allowing both). After 21 and 22 generations of selection for male-specific or female-specific fitness, we characterized changes in whole-organism gene expression. We found that female-selected lines had changed the most in their gene expression. Although annotation for this species is limited, gene ontology term and Kyoto Encyclopedia of Genes and Genomes pathway analyses suggest that metabolic changes (e.g. biosynthesis of amino acids and carbon metabolism) are an important adaptive component. As predicted, we found that the expression of genes previously identified as testis-biased candidates tended to be downregulated in the female-selected lines. We did not find any significant expression differences for previously identified candidates of other sex-specific organs, but this may simply reflect that few transcripts have been characterized in this way. In conclusion, our experiment suggests that changes in testis-biased gene expression are important in the early evolution of sex chromosomes and gonochorism.

Exploring the structure of college students' adaptability by using cross-lagged path analysis: The role of emotional adaptability.

Adaptability is an important psychological trait for college students. However, the components of adaptability contained significant inconsistencies in previous studies. On the one hand, there were discrepancies among the adaptability dimensions. On the other hand, significant inconsistencies were found in the connections among different aspects of adaptability. Therefore, the current research aimed to investigate the latent relationship among various components of adaptability. To achieve this, 565 volunteers were recruited to complete a 5-min cross-sectional survey. Subsequently, 402 participants were recruited to complete an 8-min longitudinal survey. The current study comprised two sub-studies: Study 1 utilized a structural equation model to examine the relationship between various dimensions of adaptability in a cross-sectional dataset, while Study 2 employed the cross-lagged panel model to validate the latent relationship between emotional adaptability and other types of adaptability using a longitudinal dataset. Results from the cross-sectional study indicated significant associations between emotional adaptability and other types of adaptability, with coefficients ranging from .231 to .588. The longitudinal study revealed that emotional adaptability at Time 2 and 3 could be predicted by learning adaptability, professional adaptability, and economic adaptability at Time 1 and 2. Consequently, the research concluded that individuals' emotional maladjustment could be predicted by maladaptive difficulties in learning, professional settings, homesickness, interpersonal relationships, and economics.

Views on Understanding the Adaptation of Public Administration to the Conditions of Martial Law

Purpose: The aggression by Russia has led to the introduction of martial law in Ukraine, the conditions of which affect all spheres of life in Ukrainian society. Public administration bodies are forced to adapt to the new working conditions, and, unfortunately, these conditions mostly complicate and sometimes even slow down the European integration processes in Ukraine.
 
 Method: The article uses general and special scientific methods.
 
 Results: The legal regime of martial law significantly restructures the system of public administration in Ukraine. However, it is possible to understand the mechanism, internal nature and further development of such restructuring only through the prism of analyzing the essence of the process of adaptation to martial law.
 
 Conclusions: The authors distinguish two components of adaptation to martial law: first, in the field of economic and business activities; second, in the field of law enforcement activities. Based on the comprehended problematic aspects and components of adaptation of public administration to martial law, the following areas of its improvement are identified: interaction of security and defense forces; ensuring rational implementation of all types of management activities in the course of the digitalization of social relations; observance of the rights of persons with disabilities under martial law.

Из опыта организации педагогического сопровождения адаптации обучающихся – будущих архитекторов средствами внеучебной деятельности колледжа

The article updates the importance of activities for pedagogical support of adaptation of college students in the context of growing interest among young people in secondary vocational education. The necessity of providing pedagogical support for the adaptation of students – future architects to the educational environment of the college, taking into account the specifics of their future specialty, is substantiated. It is proposed to use the pos-sibility of extracurricular activities as a means of ensuring the effectiveness of organizing pedagogical support for the adaptation of future architects. An analysis of the current state of knowledge of the problem in the scien-tific literature was carried out. On the basis of scientific positions determined based on the analysis of psycho-logical and pedagogical literature, a program of pedagogical support for the adaptation of first-year students of the specialty 02/07/01 was developed and tested at the State Educational Institution of Professional Education “Penza College of Architecture and Construction”. Architecture through extracurricular activities. The stage-by-stage organization and content of activities for pedagogical support of adaptation of future architects to the ed-ucational environment of the college through extracurricular activities in areas corresponding to the compo-nents of adaptation: educational-professional, socio-psychological and psychophysiological are characterized. The results of the program implementation are presented.

Fluorescent reaction of wheat seedlings when infected by <i>Bipolaris sorokiniana</i>

Results of the studies of photosynthetic activity of seedlings of three varieties of spring soft wheat grown under controlled climatic conditions and their response to infection with the pathogen of common root rot of cereals Bipolaris sorokiniana Shoem. by chlorophyll fluorescence (ChlF) parameters are presented. Chlorophyll fluorescence was recorded with a Dual-PAM-100/F fluorimeter in the mode of recording slow kinetics of dark induction curves with pulse saturation analysis (Slow Kinetics). The studies were conducted in 2021, 2022. The varietal specificity of formation of adaptive reactions of 10–16-day-old spring wheat seedlings under infection with B. sorokiniana (5000 conidia per grain) according to the daily dynamics of the ChlF parameters was established. The information content of the ChlF parameters Y(II), ETR, qP, Fv/Fm, Fv/F0, Y(NPQ), qN and Y(NО) as biomarkers for assessing pathogen resistance of the varieties at the level of photosynthetic apparatus was confirmed. The response of the more resistant wheat varieties Novosibirskaya 29 and Sibirskaya 21 to the pathogen introduction was less pronounced compared to the less resistant variety Novosibirskaya 41. The more resistant varieties exhibited the smallest changes in the ChlF parameters relative to the control. The greatest inter-variety differences in infection with B. sorokiniana (from 1.9 to 8.6 times) were manifested in 16-day-old seedlings. The level of the photosynthetic activity in the formation of adaptive reactions during the pathogenesis of B. sorokiniana can serve as a criterion of stress resistance, which will make it possible to conduct complex studies on modeling the system plant – host – pathogen, to assess the primary nonspecific reactions and adaptive components of stress resistance of spring wheat varieties.