Independent Field Research Articles

Author’s agency in a research article: From the grammar of language to the grammar of communication

Introduction. Writing for publication has been developed for two last decades as an independent field of research to help authors publish their research articles. Starting from the assessment that preparing the publication in a journal is an academic activity that requires learning to construct the author’s positioning in the manuscript, this paper points out the shortage of professionals to assume institutional organisation of training courses in Russia.Aim. This paper aims to suggest a framework for informal practices based on autonomy and the collective organisation of authors to construct an authorial position in the manuscript or author’s agency toward a target journal.Methodology and research methods. Various approaches applied in this paper are based on activity theory: situated learning, Change Laboratory, and expansive learning.A review of Russian and foreign research in writing for publication shows that only one of the three types of authorial agency, that is, transformative agency, might help the author to prepare a manuscript for publication in a target journal. The framework needed for emerging author’s transformative agency re-conceptualises the model of the Change Laboratory for situated learning that aims at the author’s socialisation in the discursive practices of a target journal. Situated learning for writing for publication is based on the principles of the Change Laboratory: collectivity; double stimulation; overcoming the contradiction by ascending from the abstract to the concrete.Results. A framework for three cycles of expansive learning aimed at the emergence of the author’s agency toward a target journal has been developed. The first cycle allows selecting a journal and revealing its implicit rules for manuscript production. The second cycle is focused on step-by-step manuscript revisions. Finally, a change of journal and/or author whose manuscript is discussed involves the third cycle of expansive learning.Scientific novelty. The paper considers manuscript production for publishing in a journal as an academic activity requiring deliberate training in native and foreign languages. The framework for three cycles of expansive learning in writing for publication conceptualises the publication as the author’s participation in social practices involving the journal as a discursive community.Practical significance. The framework suggested in this paper for emerging transformative agency in writing for publication might imply an alternative to the institutional training courses. Three cycles of expansive learning aim to develop the author’s publication competence and improve the quality of research articles.

RadarSense: Accurate Recognition of Mid-air Hand Gestures with Radar Sensing and Few Training Examples

Microwave radars bring many benefits to mid-air gesture sensing due to their large field of view and independence from environmental conditions, such as ambient light and occlusion. However, radar signals are highly dimensional and usually require complex deep learning approaches. To understand this landscape, we report results from a systematic literature review of ( N =118) scientific papers on radar sensing, unveiling a large variety of radar technology of different operating frequencies and bandwidths and antenna configurations but also various gesture recognition techniques. Although highly accurate, these techniques require a large amount of training data that depend on the type of radar. Therefore, the training results cannot be easily transferred to other radars. To address this aspect, we introduce a new gesture recognition pipeline that implements advanced full-wave electromagnetic modeling and inversion to retrieve physical characteristics of gestures that are radar independent, i.e., independent of the source, antennas, and radar-hand interactions. Inversion of radar signals further reduces the size of the dataset by several orders of magnitude, while preserving the essential information. This approach is compatible with conventional gesture recognizers, such as those based on template matching, which only need a few training examples to deliver high recognition accuracy rates. To evaluate our gesture recognition pipeline, we conducted user-dependent and user-independent evaluations on a dataset of 16 gesture types collected with the Walabot, a low-cost off-the-shelf array radar. We contrast these results with those obtained for the same gesture types collected with an ultra-wideband radar made of a vector network analyzer with a single horn antenna and with a computer vision sensor, respectively. Based on our findings, we suggest some design implications to support future development in radar-based gesture recognition.

Approaching the Ultimate Limit in Measurement Precision with RASER NMR

Radio-frequency Amplification by Stimulated Emission of Radiation (RASER) is a promising tool to study nonlinear phenomena or measure NMR parameters with unprecedented precision. Magnetic fields, J-couplings, and chemical shifts can be recorded over long periods of time without the need for radiofrequency excitation and signal averaging. One key feature of RASER NMR spectroscopy is the improvement in precision, which grows with the measurement time T_{{text{m}}}^{3/2}, unlike conventional NMR spectroscopy, where the precision increases with T_{{text{m}}}^{1/2}. However, when detecting NMR signals over minutes to hours, using available NMR magnets (ppb homogeneity), the achieved frequency resolution will eventually be limited by magnetic field fluctuations. Here, we demonstrate that full compensation is possible even for open low-field electromagnets, where magnetic field fluctuations are intrinsically present (in the ppm regime). A prerequisite for compensation is that the spectrum contains at least one isolated RASER line to be used as a reference, and the sample experiences exclusively common magnetic field fluctuations, that is, ones that are equal over the entire sample volume. We discuss the current limits of precision for RASER NMR measurements for two different cases: The single-compartment RASER involving J-coupled modes, and the two-compartment RASER involving chemically shifted species. In the first case, the limit of measurable difference approaches the Cramér-Rao lower bound (CRLB), achieving a measurement precision {sigma }_{f}<{10}^{-4} Hz. In the second case, the measured chemical shift separation is plagued by independently fluctuating distant dipolar fields (DDF). The measured independent field fluctuation between the two chambers is in the order of tens of mHz. In both cases, new limits of precision are achieved, which paves the way for sub-mHz detection of NMR parameters, rotational rates, and non-linear phenomena such as chaos and synchrony.

Tensors with Constant Components in the Constitutive Equations of a Hemitropic Micropolar Solids

The present paper is devoted to elastic potentials and the constitutive equations of mechanics of anisotropic micropolar solids, the kinematics of which can be specified by two independent vector fields: a contravariant field of translational displacements and a contravariant pseudovector field of microrotations of weight +1. The quadratic stress potential is represented by three constitutive tensors of the fourth rank, two of which are pseudotensor in nature and can be assigned weights –2 and –1. Such a solid is completely specified by the 171st micropolar elastic modulus. The main attention is focused on the model of a hemitropic (half-isotropic, demitropic) micropolar elastic solid characterized by nine constitutive constants. The components of the constitutive pseudo-tensor of weight ‒1 turn out to be sensitive to mirror reflection transformations in three-dimensional space. A peculiar algebraic structure of the constitutive tensors of a hemitropic solid, more precisely, their absolute analogues obtained by multiplying by integer powers of a pseudoscalar unity, is studied. It is shown that these tensors can always be constructed from isomers (isomer) of a tensor with constant components (generally insensitive to any transformations of the coordinate system) and one additional fourth-rank tensor constructed, in turn, from the components of the metric tensor.

Is my model fit for purpose? Validating a population model for predicting freshwater fish responses to flow management

AbstractModels based on ecological processes (process‐explicit models) are often used to predict ecosystem responses to environmental changes or management scenarios. However, models are imperfect and need to be validated, ideally by testing their assumptions and outputs against independent empirical data sets. Examples of validation of process‐explicit models are rare. Recently, stochastic population models have been developed to predict the likely responses (over 10–120 years) of a riverine fish (golden perch, Macquaria ambigua) to flow management in the Murray–Darling Basin (MDB) in eastern Australia, one of the world's most regulated river basins. Declines in golden perch (and other species) are a direct consequence of altered hydrology, and managers require information to predict how fish will respond to possible future hydrological conditions to guide substantial investments in flow management. Here, we use two independent field data sets to validate our population model. We compared model predictions to observed trends to ask: (1) How do predicted population sizes and growth rates compare with observed data? (2) Does the correlation between predicted and observed population sizes and growth rates vary among populations? (3) Does the correlation between predicted and observed population sizes and growth rates vary across observed hydrological conditions? (4) How do modeled and observed fish movement rates compare? We found reasonable correlations between fish population sizes and growth rates as predicted by the model and observed in independent data sets for several populations (Aim 1), but the strength of these correlations varied among populations (Aim 2) and hydrological conditions (Aim 3). Predicted and observed fish movement rates were strongly correlated (Aim 4). Population models are frequently used in conservation decision‐making but are rarely validated. We demonstrate that: (1) validation can identify model strengths and weaknesses; (2) observed data sets often have inherent limitations that can preclude robust validations; (3) validation is likely to be more common if appropriate observed data sets are available; and (4) validation should consider the purpose of modeling. Wider consideration of these messages would contribute to more critical examinations of models, so they can be most appropriately used in conservation decision‐making.

From Formyl-Corroles to Non-Aromatic Porphyrinoids

In 1998, it would have been impossible to imagine that only 20 years later the chemistry of one of corroles would expand to create an independent field of study. The synthesis of corroles has undergone incredible changes. From multistep strategies that attracted only practitioners in the field, the procedure has been transformed into a one-pot process from commercially available reagents. The synthesis of meso-substituted corroles evolved quickly during the first seven years after Paolesse’s and Gross’s discovery [1,2]. The methodology which led to trans-A2B-corroles (i.e., corroles bearing substituents A at positions 5 and 15 and substituent B at position 10) from dipyrranes and aldehydes was discovered in 2000 and optimized several times prior to 2006, when we discovered that as long as aldehydes and dipyrranes were relatively small and/or hydrophilic, performing this reaction in a mixture of water and methanol in the presence of HCl allowed the yields to increase from 6-30% to ~55% [3,4]. The synthetic revolution made it possible to try risky ideas in diverse areas of materials chemistry and in various biology- and medicine-oriented applications. Multiple challenges still remain in the preparation of corroles.One of those challenges is the preparation of corroles possessing CHO groups. Free formyl groups can be reacted with multiple nucleophiles forming more complex and more advanced structures. At the same time CHO is the reacting group pivotal in the corrole synthesis. Attempting to solve this conundrum we recently developed the synthesis of tris(4-formylphenyl)corrole in straightforward fashion. During the realization of this project we discovered that 10-(2-formylphenyl)corrole undergoes intramolecular Friedel-Crafts reaction leading to non-aromatic, π-expanded corrole. This divalent macrocycle possess intriguing photophysical properties and has an ability to form complexes with various metals.References Gross, Z.; Galili, N.; Saltsman, I. Angew. Chem. Int. Ed. 1999, 38, 1427−1429.Paolesse, R.; Jaquinod, L.; Nurco, D. J.; Mini, S.; Sagone, F.; Boschi, T.; Smith, K. M. Chem. Commun. 1999, 1307−1308.Koszarna, B.; Gryko, D. T. J. Org. Chem. 2006, 71, 3707−3717.Orłowski, R.; Gryko, D.; Gryko, D. T. Chem. Rev. 2017, 117, 3102-3137. Figure 1

Nonlinear analysis of reinforced concrete slabs using a quasi-3D mixed finite element formulation

This study presents an efficient quasi-3D mixed finite element (MFE) formulation for the materially nonlinear analysis of reinforced concrete (RC) slabs based on a refined layered global–local plate theory. The cross-section of the RC slab is divided into a series of concrete and steel layers. Each layer is treated as a plate structure and mechanical properties of the steel and concrete materials are individually applied to each layer. In addition to unknown variables of the displacement field, out-of-plane stress components are also assumed as independent field variables in the presented MFE formulation. It makes it possible to obtain the out-of-plane shear stresses at each node directly from constitutive equations with the enough accuracy. A four‐node rectangular element ensuring the C1‐continuity is used for discretizing the domain of the RC slab. The governing equations are derived based on a partially mixed-field variational principle. The accuracy and efficiency of the presented MFE have been investigated through some benchmark examples. Numerical tests show that the presented MFE yields results with sufficient accuracy at a low computational cost.

High-Resolution Ratoon Rice Monitoring under Cloudy Conditions with Fused Time-Series Optical Dataset and Threshold Model

Ratoon rice, an effective rice cultivation system, allows paddy rice to be harvested twice from the same stubble, playing an important role in ensuring food security and adapting to climate change with its unique growth characteristics. However, there is an absence of research related to remote-sensing monitoring of ratoon rice, and the presence of other rice cropping systems (e.g., double-season rice) with similar characteristics poses a hindrance to the accurate identification of ratoon rice. Furthermore, cloudy and rainy regions have limited available remote-sensing images, meaning that remote-sensing monitoring is limited. To address this issue, taking Yongchuan District, a typical cloud-prone region in Chongqing, China, as an example, this study proposed the construction of a time-series optical dataset using the Modified Neighborhood Similar Pixel Interpolator (MNSPI) method for cloud-removal interpolation and the Flexible Spatiotemporal DAta Fusion (FSDAF) model for fusing multi-source optical remote-sensing data, in combination with vegetation index features and phenological information to build a threshold model to map ratoon rice at high-resolution (10 m). The mapping performance of ratoon rice was evaluated using independent field samples to obtain the overall accuracy and kappa coefficient. The findings indicate that the combination of the MNSPI method and FSDAF model had a stable and effective performance, characterized by high correlation coefficient (r) values and low root mean square error (RMSE) values between the restored/predicted images and the true images. Notably, it was possible to effectively capture the distinct characteristics of ratoon rice in cloudy and rainy regions using the proposed threshold model. Specifically, the identified area of ratoon rice in the study region was 194.17 km2, which was close to the official data (158–180 km2), and the overall accuracy and kappa coefficient of ratoon rice identification result were 90.73% and 0.81, respectively. These results demonstrate that our proposed threshold model can effectively distinguish ratoon rice during vital phenological stages from other crop types, enrich the technical system of rice remote-sensing monitoring, and provide a reference for agricultural remote-sensing applications in cloudy and rainy regions.

Evidence for multi-decadal fuel buildup in a large California wildfire from smoke radiocarbon measurements

In recent decades, there has been a significant increase in annual area burned in California’s Sierra Nevada mountains. This rise in fire activity has prompted the need to understand how historical forest management practices affect fuel composition and emissions. Here we examined the total carbon (TC) concentration and radiocarbon abundance (Δ14C) of particulate matter (PM) emitted by the KNP Complex Fire, which occurred during California’s 2021 wildfire season and affected several groves of giant sequoia trees in the southern Sierra Nevada. During a 26 h sampling period, we measured concentrations of fine airborne PM (PM2.5), as well as dry air mole fractions of carbon monoxide (CO) and methane (CH4), using a ground-based mobile laboratory. We also collected filter samples of PM2.5 for analysis of TC concentration and Δ14C. High correlation among PM2.5, CO, and CH4 time series confirmed that our PM2.5 measurements captured variability in wildfire emissions. Using a Keeling plot approach, we determined that the mean Δ14C of PM2.5 was 111.6 ± 7.7‰ (n = 12), which was considerably enriched relative to atmospheric carbon dioxide in the northern hemisphere in 2021 (−3.2 ± 1.4‰). Combining these Δ14C data with a steady-state one-box ecosystem model, we estimated that the mean age of fuels combusted in the KNP Complex Fire was 40 years, with a range of 29–57 years. These results provide evidence for emissions originating from woody biomass, larger-diameter fine fuels, and coarse woody debris that have accumulated over multiple decades. This is consistent with independent field observations that indicate high fire intensity contributed to widespread giant sequoia mortality. With the expanded use of prescribed fires planned over the next decade in California to mitigate wildfire impacts, our measurement approach has the potential to provide regionally-integrated estimates of the effectiveness of fuel treatment programs.

Open-Source Software Development in Cheminformatics: A Qualitative Analysis of Rationales

This qualitative research explored the rationales of open-source development in cheminformatics. The objective was to promote open science by mapping out and categorizing the reasons why open-source development is being carried out. This topic is important because cheminformatics has an industrial background and open-source is the key solution in promoting the growth of cheminformatics as an independent academic field. The data consisted of 87 research articles that were analyzed using qualitative content analysis. The analysis produced six rationale categories: (1) Develop New Software, (2) Update Current Features, Tools, or Processes, (3) Improve Usability, (4) Support Open-source Development and Open Science, (5) Fulfill Chemical Information Needs, and (6) Support Chemistry Learning and Teaching. This classification can be used in designing rationales for future software development projects, which is one of the largest research areas in cheminformatics. In particular, there is a need to develop cheminformatics education for which software development can serve as an interesting multidisciplinary framework.

Computational Design of a Split Cavity with Localized Independent Electric Field Tunability

Computational Design of a Split Cavity with Localized Independent Electric Field Tunability

The Impact of Cosmic Variance on Inferences of Global Neutral Fraction Derived from Lyα Luminosity Functions during Reionization

We investigate the impact of field-to-field variation, deriving from cosmic variance, in measured Lyα emitter (LAE) luminosity functions (LFs) and this variation’s impact on inferences of the neutral fraction of the intergalactic medium (IGM) during reionization. We post-process a z = 7 IGM simulation to populate the dark matter halos with LAEs. These LAEs have realistic UV magnitudes, Lyα fluxes, and Lyα line profiles. We calculate the attenuation of Lyα emission in universes with varying IGM neutral fraction, . In a = 0.3 simulation, we perform 100 realizations of a mock 2 deg2 survey with a redshift window Δz = 0.5 and flux limit f Lyα > 1 × 10−17 erg s−1 cm−2; such a survey is typical in depth and volume of the largest LAE surveys conducted today. For each realization, we compute the LAE LF and use it to recover the input . Comparing the inferred values of across the ensemble of the surveys, we find that cosmic variance, deriving from large-scale structure and variation in the neutral gas along the sightline, imposes a floor in the uncertainty of when = 0.3. We explore mitigation strategies to decrease this uncertainty, such as increasing the volume, decreasing the flux limit, or probing the volume with many independent fields. Increasing the area and/or depth of the survey does not mitigate the uncertainty, but composing a survey with many independent fields is effective. This finding highlights the best strategy for LAE surveys aiming at constraining the of the universe during reionization.

Calibrating a process-based simulation model for the Acadian forest region

Climate change is projected to have profound impacts on Canada’s Acadian Forest Region (AFR). However, large uncertainties arising from climate change and increasing disturbance activity pose challenges for forest management decisions. Process-based (mechanistic) simulation models offer a means by which vulnerabilities and different management strategies can be tested under multiple climate and disturbance regimes. However, applying these complex models can be dauting, especially for novice modelers and forest practitioners; nonetheless, this complexity is increasingly necessary to more realistically project changes in forest growth and composition, ecosystem services, biodiversity, disturbance regimes, and the spread of forest pests. Here, we present a methodology for calibrating and validating iLand (v1.1.1), a landscape-scale, process-based forest model that offers a novel approach for assessing the feedback between individual trees and their environment (ecosystem processes, climate, and disturbance). For the first time, 18 tree species were parameterized and calibrated for the AFR and model performance was evaluated against independent field observations at the tree population and stand level. iLand was able to accurately emulate the dynamics of individual tree species populations as well as the succession of mixed-species forest stands across a range of soil conditions and is now ready to be used to simulate future forest dynamics of the AFR. We also discuss calibration method selection and the potential impacts of model and project structure in relation to our project. As the accessibility and usability of process-based forests models increases, our work provides a unique case study for forest managers looking to expand their toolbox.

A Creative Thinking Process of Junior High School Students in Solving Story Problems Viewed from Field Dependent – Field Independent Cognitive Style

Giving math subjects is very important in life. This is in line with content standards in Permendiknas No. 22 of 2006 that mathematics subjects need to be given to train and teach thinking skills, one of which is creative thinking. The purpose of this study was to describe the creative thinking processes of junior high school students with field dependent and field independent cognitive styles in solving problems on the material surface area of geometric figures. The subjects in this study were one student each with field dependent and field independent cognitive styles who had high and equal mathematical abilities and were male. The research instruments used were GEFT sheets to classify cognitive styles, Mathematical Ability Test (MAT) sheets to classify students' mathematical abilities, Problem Solving Task sheets (PST) and interview guidelines to find out in detail the students' creative thinking processes. Based on the results of the research conducted, the creative thinking process of students with field dependent cognitive style at the preparatory stage read the questions twice to understand the questions, at the incubation stage field dependent students needed 15 minutes to get out of this stage. At the illumination stage, field dependent students were not fluent in solving problems and only had one solution idea. At the verification stage, field dependent students are unsure of their answers and have no other solution ideas. The thinking process of students with field independent cognitive styles in the preparation stage of field independent students read the questions twice to understand the questions. At the incubation stage, independent field students managed to get out of this stage and found ideas to solve questions for 5-10 minutes. In the illumination stage, field independent students smoothly solve problems and have several ideas for solving them. At the verification stage, field independent students are very confident with their answers and have other solutions.

Climbing fiber multi-innervation of mouse Purkinje dendrites with arborization common to human.

Canonically, each Purkinje cell (PC) in the adult cerebellum receives only one climbing fiber (CF) from the inferior olive. Underlying current theories of cerebellar function is the notion that this highly conserved one-to-one relationship renders Purkinje dendrites into a single computational compartment. However, we discovered that multiple primary dendrites are a near-universal morphological feature in humans. Using tract tracing, immunolabeling, and in vitro electrophysiology, we found that in mice ~25% of mature multibranched cells receive more than one CF input. Two-photon calcium imaging in vivo revealed that separate dendrites can exhibit distinct response properties to sensory stimulation, indicating that some multibranched cells integrate functionally independent CF-receptive fields. These findings indicate that PCs are morphologically and functionally more diverse than previously thought.

An emerging field: An evaluation of biomedical graduate student and postdoctoral education and training research across seven decades.

Biomedical graduate student and postdoctoral education and training research has expanded greatly over the last seven decades, leading to increased publications and the emergence of a field. The goal of this study was to analyze this growth by performing a cross-sectional bibliometric analysis using a systematic approach to better understand the publishing trends (including historical vs. emerging themes and research priorities); depth, structure, and evidence-basis of content; and venues for publication. The analysis documented a dramatic increase in biomedical trainee-related publications over time and showed that this area of research is maturing into its own independent field. Results demonstrated that the most frequently published article types in this field are shorter editorial and opinion pieces, and that evidence-based articles are less numerous. However, if current trends continue, projections indicate that by the year 2035, evidence-based articles will be the dominating article type published in this field. Most frequently published topics included career outcomes and workforce characterization and professional development. In recent years, the most cited articles were publications focused on diversity, equity, and inclusion, career outcomes and workforce characterization, and wellness. This study also shows that although a small subset of journals publishes most of this literature, publications are distributed diffusely across a wide range of journals and that surprisingly 68% of these journals have published only a single article on the topic. Further, we noted that the assignment of author- and index-supplied keywords was variable and inconsistent and speculate that this could create challenges to conducting comprehensive literature searches. Recommendations to address this include establishing standard keyword assignment criteria and proposing new index-supplied keywords to improve accessibility of research findings. These changes will be important for bringing visibility of this literature to our community, institutional leaders, national trainee organizations, and funding agencies.

Advantages of one- and two-photon light in inverse scattering.

We study an inverse scattering problem in which the far-field spectral cross correlation functions of scattered fields are used to determine the unknown dielectric susceptibility of the scattering object. One-photon states for the incident field can resolve (at 100% visibility) twice as many Fourier components of the susceptibility compared with the (naïve) Rayleigh estimate, provided that the measurement is performed in the back-scattering regime. Coherent states are not capable of reaching this optimal resolution (or do so with negligible visibility). Using two-photon states improves upon the one-photon resolution, but the improvement (at 100% visibility) is smaller than twice, and it demands prior information on the object. This improvement can also be realized via two independent laser fields. The dependence on the prior information can be decreased (but not eliminated completely) upon using entangled states of two photons.

Analogue and Physical Reservoir Computing Using Water Waves: Applications in Power Engineering and Beyond

More than 3.5 billion people live in rural areas, where water and water energy resources play an important role in ensuring sustainable and productive rural economies. This article reviews and critically analyses the recent advances in the field of analogue and reservoir computing that have been driven by the unique physical properties and energy of water waves. It also demonstrates that analogue and physical reservoir computing, taken as an independent research field, holds the potential to bring artificial intelligence closer to people living outside large cities, thus enabling them to enjoy the benefits of novel technologies that are already in place in large cities but are not readily available or suitable for regional communities. In particular, although the physical reservoir computing systems discussed in the main text are universal in terms of processing input data and making forecasts, they can be used to design and optimise power grid networks and forecast energy consumption, both at local and global scales. Thus, this review article will be of interest to a broad readership interested in novel concepts of artificial intelligence and machine learning and their innovative practical applications in diverse areas of science and technology.

Special finite elements with arbitrarily-shaped holes for heat conduction analysis of porous materials

Special finite elements are developed which adequately represent the state of heat conduction in the region around an arbitrarily-shaped hole. This is achieved with two assumed temperature fields. The frame field is defined along the element boundary while the intra-element field is independently approximated by using truncated T-complete solutions as trial functions for capturing hole effects. The geometrical irregularity of holes contribute to the difficulty in seeking T-complete solutions. By means of the charge simulation method and numerical conformal mapping technique, the systematic construction of T-complete solutions is shown which satisfy a priori the governing differential equation. Based on the modified variational principle, the two independent temperature fields are linked together at the element level, ensuring conformity across inter-element boundaries. The resultant element stiffness equation involves boundary integrals only, which provides a great flexibility in mesh generation with polygons. Numerical examples for the problems with a single, dual, and multiple holes are given to illustrate the efficiency and accuracy of the proposed method.

Экспрессионные микрочипы: возможности применения в клинической онкологии

INTRODUCTION: Molecular oncology is currently undergoing a fairly rapid development due to the emergence of new technologies and modernization of already known methods. These technologies allow not only to update and clarify the understanding of the molecular genetic nature of tumors, but also to develop new directions for the therapy and the course of cancer diseases. The prerequisite for this scientific direction was the decoding of the human genome, as a result of which most human genes have been identified and mapped by now. Microarray technology has been since the late 1980s and has been rapidly developing since then. In a short time, biological microarrays have evolved into an independent field of analysis, including both the study of fundamental problems of molecular biology and molecular evolution, and practical applications in medicine, pharmacology, forensic expertise. AIM: To demonstrate the potential of the microarray expression assay method in clinical oncology, to describe the history of elaboration, evolution, the principle of the method and possibilities of application of expression microarrays at the current stage of clinical oncology development. MATERIALS AND METHODS: The study was carried out at Ryazan State Medical University. The review included sources found in PubMed, Google Scholar, and eLibrary using the query ‘expression microarrays’ and ‘molecular genetic technologies in oncology’. A total, of 126,455 results were found for the query ‘expression microarrays’ in PubMed and Google Scholar. Thirty-five articles were selected, after a relativity analysis of the sources. A total, of 613 results were found in the eLibrary system for the query ‘molecular genetic technology in oncology’, and 15 articles were selected. Thus, 49 articles were included in the final version. CONCLUSION: The advent of microarray technology marked a new stage in molecular genetic analysis. This method allows simultaneous analysis of hundreds of transcription products and even the entire transcriptome, which together with the data on functions of tumor proteins already opens wide horizons for the use of this technology in clinic. Accumulated data allow to see a wide perspective in this method in terms of analysis of expression profile, metastatic potential of tumors, differential diagnosis between different types of malignant neoplasia, and thus individualize the treatment approach for each individual patient. In our opinion, expression profile analysis is an area promising for further, even more detailed study and discussion within the framework of clinical oncology.