Research In Field Research Articles

Reliability of task-based fMRI in the dorsal horn of the human spinal cord.

The application of functional magnetic resonance imaging (fMRI) to the human spinal cord is still a relatively small field of research and faces many challenges. Here we aimed to probe the limitations of task-based spinal fMRI at 3T by investigating the reliability of spinal cord blood oxygen level dependent (BOLD) responses to repeated nociceptive stimulation across two consecutive days in 40 healthy volunteers. We assessed the test-retest reliability of subjective ratings, autonomic responses, and spinal cord BOLD responses to short heat pain stimuli (1s duration) using the intraclass correlation coefficient (ICC). At the group level, we observed robust autonomic responses as well as spatially specific spinal cord BOLD responses at the expected location, but no spatial overlap in BOLD response patterns across days. While autonomic indicators of pain processing showed good-to-excellent reliability, both β-estimates and z-scores of task-related BOLD responses showed poor reliability across days in the target region (gray matter of the ipsilateral dorsal horn). When taking into account the sensitivity of gradient-echo echo planar imaging (GE-EPI) to draining vein signals by including the venous plexus in the analysis, we observed BOLD responses with fair reliability across days. Taken together, these results demonstrate that heat pain stimuli as short as one second are able to evoke a robust and spatially specific BOLD response, which is however strongly variable within participants across time, resulting in low reliability in the dorsal horn gray matter. Further improvements in data acquisition and analysis techniques are thus necessary before event-related spinal cord fMRI as used here can be reliably employed in longitudinal designs or clinical settings.

Genomic Profiling for Predictive Treatment Strategies in Fibrotic Interstitial Lung Disease.

Idiopathic pulmonary fibrosis (IPF) has traditionally been considered the archetype of progressive fibrotic interstitial lung diseases (f-ILDs), but several other f-ILDs can also manifest a progressive phenotype. Integrating genomic signatures into clinical practice for f-ILD patients may help to identify patients predisposed to a progressive phenotype. In addition to the risk of progressive pulmonary fibrosis, there is a growing body of literature examining how pharmacogenomics influences treatment response, particularly regarding the efficacy and safety profiles of antifibrotic and immunomodulatory agents. In this narrative review, we discuss current studies in IPF and other forms of pulmonary fibrosis, including systemic autoimmune disorders associated ILDs, sarcoidosis and hypersensitivity pneumonitis. We also provide insights into the future direction of research in this complex field.

Enhancing creative work behaviour in higher education institutions amidst the COVID-19 pandemic: the role of self-efficacy

PurposeThe contemporary changes in learning institutions, such as new teaching methods like online teaching that emerged as a result of the corona virus disease (COVID-19) pandemic, require higher education institutions to activate employee creative behaviour to thrive. The COVID-19 pandemic serves as a disruptor and catalyst for traditional teaching methods in universities, leading to the introduction of new teaching methods, which underscores the urgency of creativity research to generate new ideas for work execution. Despite the dynamic education environment that has resulted in new work practices that necessitate creativity, little empirical research stimulating creativity in higher institutions of learning following a pandemic has been done. This research seeks to determine the role of self-efficacy in enhancing creativity and the various types of creativity.Design/methodology/approachAn explanatory research methodology was used to investigate the hypothetical influence of self-efficacy on creativity.FindingsThe findings of the study reveal that self-efficacy significantly enhances the different dimensions of creative behaviour. However, the magnitude of the influence varies significantly among the three categories of creative behaviour. The magnitude of influence of self-efficacy was highest on idea implementation, preceded by generation and championing of ideas.Research limitations/implicationsWe collected data from employees in Uganda’s universities, which were public, and the application of the findings may be limited to public universities because of the difference in the work environment settings in private and public university settings, which may affect the efficacy of the employees. Given that the data were collected in a university setting, the results may be limited to universities. This research adopted a cross-sectional design and employees' efficacy and creative behaviour may change over time. The current study opens the ground for longitudinal research in a related field to establish the causal role of self-efficacy on individuals' creativity over time.Practical implicationsOrganisations must enhance positive organisational behaviour like self-efficacy to enhance university employees' cognitive ability to manage uncertainty associated with creativity. While enhancing self-efficacy, organisations need to consider the strategic actions geared towards enhancing the required type of creative behaviour since findings reveal that the causal effect of self-efficacy significantly differs across the different types of creativity.Originality/valueThis research has both theoretical and empirical value. From an empirical perspective, this is a novel investigation to determine the direct effect of self-efficacy and the individual dimensions of creativity in a public university setting in a developing country like Uganda. By establishing the antecedent role of self-efficacy on creativity, the study provides new insights into how educational systems can maintain operational continuity and adaptability during unprecedented disruptions like the one of COVID-19. This research extends the applicability of social cognitive theory from a theoretical standpoint by affirming that the influence of personality characteristics on an individual (such as self-efficacy) varies with the type of creative behaviour. This is because the tasks involved in the various dimensions of creative behaviour are different and, as a result, are affected by self-efficacy in different ways.

A Review of Conductive Hydrogel-Based Wearable Temperature Sensors.

Conductive hydrogel has garnered significant attention as an emergent candidate for diverse wearable sensors, owing to its remarkable and tailorable properties such as flexibility, biocompatibility, and strong electrical conductivity. These attributes make it highly suitable for various wearable sensor applications (e.g., biophysical, bioelectrical, and biochemical sensors) that can monitor human health conditions and provide timely interventions. Among these applications, conductive hydrogel-based wearable temperature sensors are especially important for healthcare and disease surveillance. This review aims to provide a comprehensive overview of conductive hydrogel-based wearable temperature sensors. First, this work summarizes different types of conductive fillers-based hydrogel, highlighting their recent developments and advantages as wearable temperature sensors. Next, this work discusses the sensing characteristics of conductive hydrogel-based wearable temperature sensors, focusing on sensitivity, dynamic stability, stretchability, and signal output. Then, state-of-the-art applications are introduced, ranging from body temperature detection and wound temperature detection to disease monitoring. Finally, this work identifies the remaining challenges and prospects facing this field. By addressing these challenges with potential solutions, this review hopes toshed some light on future research and innovations in this promising field.

Evaluating the Influence of the ACTN3 rs1815739 Gene Polymorphism on the Performance of Physically Active Adult Males in the Arrowhead Agility Drill Test

The alpha actinin-3 gene (ACTN3) is a significant candidate gene among genetic markers that determine athletic ability. The ACTN3 gene is responsible for the creation of the actin protein in fast-twitch muscle fibers, which is associated with muscle power and speed. The objective of this study was to analyze the changes in performance of the arrowhead agility drill test and the distribution of genotype variants in the ACTN3 rs1815739 gene polymorphism in physically active adult males after a 6- week training period. The research will focus on a cohort of 58 male students, aged 19-24, who are enrolled in the Faculty of Sports Sciences and participate in swimming activities. Genomic DNA was extracted from swab samples obtained from participants using the Buccalyse DNA Extraction Kit from Isohelix, following the manufacturer's supplied technique. The study findings revealed that there was no statistically significant difference between all three genotypes when comparing the pre-test and post-test values of the sample group in terms of left and right foot characteristics. Within this framework, it is acknowledged that the outcomes derived from our investigation could potentially influence the research findings. These aspects include the restricted sample size and the incapacity to regulate individual variances such as concentration and motivation during the pre-test and post-test sessions. Nevertheless, it is believed that the results obtained from our study could potentially enhance future research and literary works in the same field.

What can physiotherapy learn by looking more closely at ‘how’ research insights come about? The role of reflexivity and representation

ABSTRACT In this paper, we draw on an example of heuristic inquiry – (Re)imagining becoming a physiotherapist: a phenomenological approach – to illustrate the role that reflexivity and representation can play in physiotherapy research outcomes and the meaning they might have for moving the profession forward. Qualitative research in physiotherapy tends to acknowledge reflexivity as a route to objectivity by making researcher biases overt, yet the debate about data representation (a researcher’s decision-making about how data are represented in a text) barely feature. This contrasts with qualitative research in other fields, including other health professions, where matters of representation (i.e., how knowledge is conveyed) are routinely debated and contested. Reflexivity, in fact, is much more than being transparent. Together with representation, reflexivity helps to position both the voices of participants and researchers within the research. The heuristic inquiry described in this paper offers new insights about learning to be a physiotherapist; it challenged assumptions about care in physiotherapy practice and it changed the first researcher’s identity and practice. These insights were generated through the synergies between reflexivity and representation, and we argue that physiotherapy research has an opportunity to be more expansive by taking a commitment to reflexivity and representation more seriously.

Home Peers, Business Owners’ Gender, and the Export Intensity of SMEs

Small and medium-sized enterprises (SMEs) can improve their export performance by co-locating with export firms from the same industry and country. However, the export implications are yet to be addressed systematically. This study investigates when and how women-owned SMEs convert their geographic proximity to home peers through social proximity and cognitive proximity into high export intensity. We develop a nuanced knowledge spillover perspective incorporating gender mechanisms to clarify the relationship between home peers and SMEs’ export intensity at the regional and national levels. To test our hypotheses, we designed quantitative research using a survey database from Statistics Canada, Survey on Financing and Growth of Small and Medium Enterprises (SFGSME), with a sample of 9,977 Canadian SMEs. Our study shows that, among other things, home peers’ positive impact on SMEs’ export intensity is more significant when their owners are exposed to a larger number of relatively close same-gender home peers (i.e., same-gender regional home peers). Moreover, we show that such positive home-peer effects on SMEs’ export intensity are even stronger for women business owners than men business owners. We clarify our contributions by discussing the theoretical and practical implications of our findings. By demonstrating the significance of same-gender regional home peers for women owners, we contribute to the knowledge spillover perspective on exporting, emerging research streams on home peers, and women entrepreneurship research in the international entrepreneurship field. Our findings also suggest that women entrepreneurs can particularly benefit from government-funded export promotion programs when the programs are appropriately designed and promoted to women entrepreneurs.

Hotspots and Global Trends of Nursing Research on Mobile Applications in Nursing From 2012 to 2023: A Bibliometric Analysis.

The rapid integration of mobile applications in healthcare has prompted an evolutionary change in nursing domain. This study aimed to systematically analyze the basic publication characteristics, research priorities, emerging trends, and thematic evolutions concerning mobile applications in nursing, providing an overview of the field's developmental trajectory and future directions. This was a descriptive bibliometric study. Data were collected on July 5, 2023, from the Web of Science database and analyzed by using the Bibliometrix package in R software. The search strategy yielded 417 documents authored by 1969 researchers, cited 12 595 references, and featured 1213 author keywords, spanning from 2012 to 2023. Research on mobile applications in nursing exhibited several key trends: (1) substantial collaboration among authors; (2) significant growth in the number of publications; (3) self-management was the most prominent hot topic; and (4) an evolution of research themes from general topics to a more specific focus on people-centered and problem-centered research. The corpus of literature pertaining to research on mobile applications within the nursing domain is anticipated to expand continually. Future research and practice in the nursing field are expected to benefit significantly from multidisciplinary collaboration and advancements in emerging technologies, including artificial intelligence.

KLSD: a kinase database focused on ligand similarity and diversity.

Due to the similarity and diversity among kinases, small molecule kinase inhibitors (SMKIs) often display multi-target effects or selectivity, which have a strong correlation with the efficacy and safety of these inhibitors. However, due to the limited number of well-known popular databases and their restricted data mining capabilities, along with the significant scarcity of databases focusing on the pharmacological similarity and diversity of SMIKIs, researchers find it challenging to quickly access relevant information. The KLIFS database is representative of specialized application databases in the field, focusing on kinase structure and co-crystallised kinase-ligand interactions, whereas the KLSD database in this paper emphasizes the analysis of SMKIs among all reported kinase targets. To solve the current problem of the lack of professional application databases in kinase research and to provide centralized, standardized, reliable and efficient data resources for kinase researchers, this paper proposes a research program based on the ChEMBL database. It focuses on kinase ligands activities comparisons. This scheme extracts kinase data and standardizes and normalizes them, then performs kinase target difference analysis to achieve kinase activity threshold judgement. It then constructs a specialized and personalized kinase database platform, adopts the front-end and back-end separation technology of SpringBoot architecture, constructs an extensible WEB application, handles the storage, retrieval and analysis of the data, ultimately realizing data visualization and interaction. This study aims to develop a kinase database platform to collect, organize, and provide standardized data related to kinases. By offering essential resources and tools, it supports kinase research and drug development, thereby advancing scientific research and innovation in kinase-related fields. It is freely accessible at: http://ai.njucm.edu.cn:8080.

Information from sound: exploring sounds and listening in information practices research

Introduction. This conceptual paper discusses the possibilities for expanding research around sounds/listening and sound-related practices in information research to further understandings of embodied/sensory information practices and attend to a greater diversity of information experiences and ways of knowing. Method/Analysis. The growth of research related to broad conceptualisations of sound and listening and the use of information from sound in knowledge production across many fields is discussed. Some challenges faced by that research and gaps in existing sound-related information practices research are noted. Results. Sound research in other fields faces issues around the management, interpretation, and contextualisation of sound-related data, and little is understood about the practices of sound recordists. Some information practices-related research has highlighted the complexity of interactions with sounds and related technologies and explored interactions with oral and music information sources. However, experiences and perceptions around seeking, creating, and using information from sounds lack in-depth study. Conclusion. The value of further information practices research related to sound is suggested: to expand embodied/sensory information research, to engage with the broad range of sonic skills and experiences, to further holistic examinations of information interactions, and to address information-related problems and research gaps in sound-focused research from other fields.

Tendon-Driven Continuum Robots for Aerial Manipulation—A Survey of Fabrication Methods

Aerial manipulators have seen a rapid uptake for multiple applications, including inspection tasks and aerial robot–human interaction in building and construction. Whilst single degree of freedom (DoF) and multiple DoF rigid link manipulators (RLMs) have been extensively discussed in the aerial manipulation literature, continuum manipulators (CMs), often referred to as continuum robots (CRs), have not received the same attention. This survey seeks to summarise the existing works on continuum manipulator-based aerial manipulation research and the most prevalent designs of continuous backbone tendon-driven continuum robots (TDCRs) and multi-link backbone TDCRs, thereby providing a structured set of guidelines for fabricating continuum robots for aerial manipulation. With a history spanning over three decades, dominated by medical applications, CRs are now increasingly being used in other domains like industrial machinery and system inspection, also gaining popularity in aerial manipulation. Fuelled by diverse applications and their associated challenges, researchers have proposed a plethora of design solutions, primarily falling within the realms of concentric tube (CT) designs or tendon-driven designs. Leveraging research works published in the past decade, we place emphasis on the preparation of backbones, support structures, tendons, stiffness control, test procedures, and error considerations. We also present our perspectives and recommendations addressing essential design and fabrication aspects of TDCRs in the context of aerial manipulation, and provide valuable guidance for future research and development endeavours in this dynamic field.

가상현실 저작도구의 상호작용 요소 비교분석 및 고찰

Objectives This study compares and analyzes the interaction elements of non-programming IVR authoring tools and suggests tools that are appropriate for developing immersive virtual reality (IVR) content to help instructors who want to develop their own IVR content choose authoring tools. Methods In this study, we selected Cospaces Edu, Roblox, CenarioVR, and Mozilla Hubs, which are being used in IVR-contents development research in education field, and analyzed the interaction elements that can be utilized without programming, and connected them to the five IVR content types (Activity-based, Discovery, Presentation, Experiential, and Collaborative) Results The four non-programming authoring tools were analyzed according to a total of nine interaction elements, and representative interaction elements for each tool were identified. Cospaces Edu was suitable for Activity-based and Experiential contents, Roblox and Mozilla Hubs for Experiential, Discovery, Collaborative contents, and CenarioVR for Discovery and Presentation content development. Conclusions The results of the study provided criteria for instructors who are not experts in programming but want to develop IVR-enabled educational content in the future so that they can choose the appropriate non-programming authoring tool based on the type of IVR content they want to apply.

Towards equitable multilingualism: promoting transdisciplinary, collaborative dialogue between English as a lingua franca and translingualism

Abstract Inspired by Hult’s (2010. Theme-based research in the transdisciplinary field of educational linguistics. In Francis M. Hult (ed.), Directions and prospects for educational linguistics, 19–32. Springer) discussion of theme-based research within educational linguistics that focuses, first and foremost, on solving problems rather than adhering to disciplinary boundaries and conventions, this article calls for transdisciplinary collaboration to resolve educational problems related to monolingualism, native-speakerism, and the hegemony of colonial ideologies. More specifically, we make a case for transdisciplinary dialogue between English as a lingua franca (ELF) and translingualism. We argue that these two research fields, with their increasingly converging interests and goals as well as distinct strengths, can make a greater impact in addressing persistent educational problems through targeted collaboration, research, and (language) pedagogy based on equitable multilingualism (e.g., Ortega, Lourdes. 2019. SLA and the study of equitable multilingualism. The Modern Language Journal 103. 23–38). In this conceptual paper, we first introduce translingualism and ELF as equally legitimate multilingual theories. Next, we identify shared key tenets and orientations as well as distinctive vantage points of each approach that researchers and educators can take advantage of for collaboratively addressing problems within classrooms and beyond. Finally, we lay out a vision for how this transdisciplinary, collaborative dialogue can help realize more equitable multilingualism.

Performance assessment of novel catalytic spouted-bed vapor jet flow heat exchanger in amine-based carbon capture process

This study introduced a spouted bed and jet flow catalytic heat exchanger (SBJ-EX). This novel non-agitated technology can potentially integrate with a conventional desorption column to enhance heat transfer and CO2 desorption performance in amine-based post-combustion carbon capture systems. As its first research in the carbon capture field, this work experimentally evaluated key factors including overall heat transfer coefficient, logarithmic mean temperature difference, temperature distribution along the reactor, and cyclic loading under varied parameters such as inlet temperature of the heating oil, inlet solvent temperature, rich CO2 loadings, and mass of catalysts to simulate real-world operating conditions using benchmark MEA solvent and solid acid catalyst HZSM-5. Compared to conventional plate heat exchangers, the SBJ-EX demonstrated over a 70 % enhancement in heat transfer performance due to its effective overall heat transfer coefficient. It also exhibited impressive CO2 desorption performance even at lower temperatures with sufficient catalysts. Unlike agitated-type heat exchangers, the SBJ-EX could minimize catalyst attrition and offer more excellent stability. In contrast to fixed-bed catalyst desorbed columns, this equipment offered a more compact design for quicker and simpler catalyst replacement to reduce downtime for operators significantly. The SBJ-EX can also function as an optional backup or add-on unit to provide operators with flexibility. This work further discussed advantages and challenges of the SBJ-EX operation. This work enriched the future research outlook for this technology, and contributed a commercially viable approach to catalysts in carbon capture processes.

Role of Si and SiO2 in Optoelectronic Device Fabrication

Silicon and its oxide deliver a dextrous way for engineering the successors of optoelectronic/photonic devices, by integrating fabrication techniques with heterostructured material possessing tuneable properties. Besides comprehensive knowledge, a collection of functional materials with device fabrication should be amplified. In general, silicon-based allied compounds can co-form with other materials like polymers, nanometal oxides, and organic/inorganic hybrid materials to deliver multiple electronic characteristics. A noteworthy and excellent performance of Si and its oxide secures a prominent position in the realm of the optoelectronics field. This study deliberates an exhaustive overview of advances in fabrication strategies, characteristics, Si/SiO2-based optoelectronic devices, and new materials used in this field. Additionally, this investigation spotlights the potential of Si/SiO2 in accentuating diverse applications like light-emitting diodes, solar cells, photodiodes, and phototransistors. In brief, this article will expose novel pathways of research and peregrination in this mushrooming field.

Research on stock trend prediction based on grey wolf optimized RF and SVM models

The volatility of the stock market has a profound impact on the stability of the financial market, and then has a significant effect on the overall economic situation, so the accurate prediction of stock trend has always been the focus of research in the financial field. In this paper, the raw minute-level stock data of SSE 50 and CSI 300 in 2021 are normalized, and the historical training and test sets of daily stocks for model training and testing are established based on the datasets. The RF-SVM model based on the gray wolf optimization algorithm is constructed to compare the traditional support vector machine and random forest model, and the relevant performance indexes are calculated. In this study, the RF-SVM model based on gray wolf optimization is highly correlated with the characteristics of stock data, and the prediction accuracy of stock index data is more than 85%. The cross-validation score is over 0.77 and the overall weighted score is as high as 0.98. Compared with the SVM and random forest models under the default parameters, the RF-SVM model based on gray wolf optimization has an average advantage of 25% in performance indicators. The generalization ability is increased by about 26%; The fitting error was reduced by about 51.15%; The overall average score advantage is about 34%. These results prove that the RF-SVM model of gray wolf optimization has superior performance and significant optimization effect in stock prediction, and compared with the traditional grid search optimization algorithm, gray wolf optimization has excellent adaptability and can gradually obtain the global optimal parameter configuration.

Unemployed Biotechnology Graduates: Need of Modernization of Education and Training in Tunisia

Biotechnology is a priority higher education and economical sector for Tunisia. However, there is an ever-increasing unemployment rate of the biotechnology graduates in the country. Indeed, this huge problem warrants immediate attention and necessary actions from various stakeholders. This study presents the results of a benchmarking visit, which was arranged by Tampere University of Applied Sciences (TAMK) in Finland, as part of 'BiotechTunisia' Erasmus+ project entitled ‘Modernization of Biotechnology training for better employability of graduates in Tunisia’. There are four Tunisian and three European partners in this project that leads to modernization of skills of teachers, researchers, and students to improve employment and opportunities for entrepreneurship of young graduates in Tunisia. The project aims to modernize the education and the scientific research in the biotechnology field. During this benchmarking visit, Tunisian partners attended seminars, workshops, visited advanced learning facilities, participated to many group discussions, learned about teacher tutoring concept, and student counselling method. Delegation learned about new learning methodologies, pedagogy, and soft skills of students, which could be replicated in their home country education system. The benchmarking visit is seen as an opportunity for Tunisian partners to transfer the good practices from Finland to their home country. Tunisian delegates agree that the learnings could have a positive impact in their education system in coming years towards modernization of education and training of biotechnology students.

Non-uniform magnetic particle capture based on single-fiber optical tweezers

In this study, single-fiber optical tweezers are used to capture polystyrene magnetic particles with non-uniform surfaces. By preparing the tip of the optical fiber probe in the shape of a protruding cone, the laser beam is highly converged at the tip of the fiber to form a strong focused light field, and the laser beam can pass through the gap between the inorganic magnetic particles on the surface of the magnetic particles and enter into the internal polystyrene to generate a gradient force and realize the stable capture of the magnetic particles. This method provides a feasible and effective solution for the capture of non-uniform polystyrene magnetic particles using optical fiber and opens up new possibilities for research in related fields.

Rotation invariance and equivariance in 3D deep learning: a survey

Deep neural networks (DNNs) in 3D scenes show a strong capability of extracting high-level semantic features and significantly promote research in the 3D field. 3D shapes and scenes often exhibit complicated transformation symmetries, where rotation is a challenging and necessary subject. To this end, many rotation invariant and equivariant methods have been proposed. In this survey, we systematically organize and comprehensively overview all methods. First, we rewrite the previous definition of rotation invariance and equivariance by classifying them into weak and strong categories. Second, we provide a unified theoretical framework to analyze these methods, especially weak rotation invariant and equivariant ones that are seldom analyzed theoretically. We then divide existing methods into two main categories, i.e., rotation invariant ones and rotation equivariant ones, which are further subclassified in terms of manipulating input ways and basic equivariant block structures, respectively. In each subcategory, their common essence is highlighted, a couple of representative methods are analyzed, and insightful comments on their pros and cons are given. Furthermore, we deliver a general overview of relevant applications and datasets for two popular tasks of 3D semantic understanding and molecule-related. Finally, we provide several open problems and future research directions based on challenges and difficulties in ongoing research.

GEOGRAPHIC INFORMATION MODEL OF PRECIPITATION INTENSITY

The paper analyses the technological features of building a geoinformation model to study the precipitation intensity in Ukraine. Analysis of natural phenomena requires promptness in obtaining and updating initial data. For this reason, today, geoinformation technologies most often use remote sensing data, mainly in raster format. We collected the raw data on precipitation intensity from the Global Precipitation Climatology Centre website of the German Meteorological Service (DWD). It is monthly data for 2022 in raster format with a raster size of 1 degree. For the organisation and analysis of geographical information, we chose the most suitable new software product, SAGA GIS, designed for geoscientific analysis automation. The advantages of this system are the availability of a complete set of geophysical analysis methods, the spatial algorithms implementation, and open-source code. After data loading, we geoprocessed the data, in particular, using the SAGA software module ‘Set Coordinate Reference System’ and selected the WGS84 coordinate system for the required layers. To prepare the data for analytical studies, we limited them to the administrative boundaries of Ukraine and transformed the WGS84 coordinate system into a UTM 36N projection. Using SAGA analytical tools, we grouped the data by season. Then, we determined the distribution of precipitation intensity over the territory for each season, identifying areas with the highest and lowest precipitation intensity and a part of the territory with the highest annual precipitation. The results of this work may have practical significance for various sectors of the economy and decision-making on adaptation to climate change. They can be relevant both for scientific research and practical application in fields related to environmental assessment. By supplementing the model with data for other subsequent or previous periods, it will be possible to determine trends in precipitation intensity by regions of Ukraine or physiographic zones of its territory. Keywords: modelling, precipitation intensity, geodatabase, geoprocessing, seasonality, software modules, SAGA GIS.