Knowledge Of Processes Research Articles

Bayesian modelling of time series data (BayModTS) - a FAIR workflow to process sparse and highly variable data.

Systems biology aims to better understand living systems through mathematical modelling of experimental and clinical data. A pervasive challenge in quantitative dynamical modelling is the integration of time series measurements, which often have high variability and low sampling resolution. Approaches are required to utilise such information while consistently handling uncertainties. We present BayModTS (Bayesian Modelling of Time Series data), a new FAIR (Findable, Accessible, Interoperable and Reusable) workflow for processing and analysing sparse and highly variable time series data. BayModTS consistently transfers uncertainties from data to model predictions, including process knowledge via parameterised models. Further, credible differences in the dynamics of different conditions can be identified by filtering noise. To demonstrate the power and versatility of BayModTS, we applied it to three hepatic datasets gathered from three different species and with different measurement techniques: (i) blood perfusion measurements by magnetic resonance imaging in rat livers after portal vein ligation, (ii) pharmacokinetic time series of different drugs in normal and steatotic mice, and (iii) CT-based volumetric assessment of human liver remnants after clinical liver resection. The BayModTS codebase is available on GitHub at https://github.com/Systems-Theory-in-Systems-Biology/BayModTS. The repository contains a Python script for the executable BayModTS workflow and a widely applicable SBML (Systems Biology Markup Language) model for retarded transient functions. In addition, all examples from the paper are included in the repository. Data and code of the application examples are stored on DaRUS https://doi.org/10.18419/darus-3876. The raw MRI ROI voxel data were uploaded to DaRUS https://doi.org/10.18419/darus-3878. The steatosis metabolite data are published on FairdomHub 10.15490/fairdomhub.1.study.1070.1.

Determinants of bacterial survival and proliferation in blood.

Bloodstream infection is a major public health concern associated with high mortality and high healthcare costs worldwide. Bacteremia can trigger fatal sepsis whose prevention, diagnosis and management have been recognized as a global health priority by the World Health Organization. Additionally, infection control is increasingly threatened by antimicrobial resistance, which is the focus of global action plans in the framework of a One Health response. In-depth knowledge of the infection process is needed to develop efficient preventive and therapeutic measures. The pathogenesis of bloodstream infection is a dynamic process resulting from the invasion of the vascular system by bacteria, which finely regulate their metabolic pathways and virulence factors to overcome the blood immune defenses and proliferate. In this review, we highlight our current understanding of determinants of bacterial survival and proliferation in the bloodstream and discuss their interactions with the molecular and cellular components of blood.

Inclusive peer review: Reflections on an adapted citizens' jury with people with learning disabilities

AbstractBackgroundInclusive research is widely accepted as an essential part of the process to democratise knowledge creation and dissemination. However, while peer review is an important part of academic publishing, the potential to include people with learning disabilities in this element of the research process has not previously been explored using a deliberative approach.MethodsAccessibility adaptations were made to the citizens' jury approach enabling people with learning disabilities to participate. Sixteen adults with mild to moderate learning disabilities were recruited to participate in the adapted citizens' jury. Jury members took part in capacity‐building workshops to develop their knowledge of research and research processes. Six expert witnesses presented evidence to the citizens' jury and were questioned on aspects of inclusive research, representation, peer review and academic publishing processes. Facilitators supported citizens' jury members to reflect on the evidence presented and to develop recommendations for inclusive peer review.FindingsThe citizens' jury was an effective inclusive research approach in this case. Jurors made recommendations related to the question of inclusive peer review: inclusive reviews should be done by groups rather than individuals; the research under review must be in accessible formats and on relevant topics; reviewers need sufficient time to conduct reviews; and diverse groups of people with learning disabilities should be involved.ConclusionsPeople with learning disabilities appreciate the importance of peer review but do not necessarily want to participate in it. This jury suggested creative approaches to disseminating, reviewing and engaging with research, including building more opportunities for dialogue between researchers and self‐advocates. The adapted citizens' jury was a novel and effective method of supporting deliberation on this topic but other approaches to including the views and experiences of those with more severe learning disabilities should be explored.

Aplikasi Survei Kepuasan Peserta Diklat Berbasis Mobile Untuk Meningkatkan Pelayanan Diklat

Balai Diklat Keuangan Medan There is an Organizing and Learning sector which is tasked with carrying out learning related to State finances, facilitating the implementation of the Learning system and facilitating technical support for implementing learning needs analysis, learning evaluation, certification and competency tests as well as providing assistance services for implementing knowledge processes and learning organizations in the work area of the Financial Education and Training Center. This research was created to create a mobile-based training participant satisfaction survey system to improve training services. The aim is to improve training services that can be accessed easily by training participants. With the survey application, participant satisfaction data can be accessed and analyzed in real-time and this application makes the work of organizers easier in calculating satisfaction surveys and can provide data to the head of the Financial Training Center quickly. By using the waterfall method with Likert Scale calculations, this research produces an efficient information system through the stages of needs analysis, design, implementation, testing, maintenance and Likert scale calculations. The results obtained from this research are that the participant satisfaction survey application can make it easier for organizers to calculate survey results and make it easier for offices to improve office quality quickly.

Machine-Learning-Based Kinetic-Free Hybrid Gray-Box Model to Predict Sulfuric-Acid-Catalyzed Esterification Reaction.

The sulfuric-acid-catalyzed esterification reaction of 2-butanol and propionic anhydride is a vital industrial process. In this paper, several experiments are conducted via reaction calorimetry to validate that both sulfuric and propionic acids have discernible catalytic effects on the reaction. This finding complicates the accurate description of the reaction kinetics through traditional methods. So this paper turns to a kinetic-free black-box model, Gaussian process regression (GPR) model via 24 experiments, as a more adaptable approach. Besides, the best GPR model is combined with traditional heat balance model to generate a hybrid gray-box model, which can give complete knowledge of reaction process. The hybrid gray-box model finally achieves maximum root-mean-square error (RMSE) of 0.0069 for conversion, 0.6535 for temperature, and 10.6087 for heat flow rate, underscoring its pretty good predictive ability.

Knowledge management drivers and its results: a quantitative study in a public higher education institution

PurposeThe purpose of this study was to evaluate the influence of knowledge management (KM) drivers on perceived KM results in a public higher education institution. A structured theoretical model based on leadership, people, processes, knowledge processes, technology, learning and KM results was developed and tested.Design/methodology/approachA survey was conducted with the employees of a public higher education institution where an administrative reform was initiated. A valid sample of 257 respondents was obtained. The data were obtained from the application of a structured questionnaire based on the KM drivers and their results. A five-point Likert-type scale was used to measure respondents' answers. The main data analysis technique was structural equation modeling.FindingsThe results indicate knowledge processes, leadership and people factors have a positive and significant impact on KM results. On the other hand, organizational processes, technology and learning factors were not significant. However, the service length of servants in the institution influences the perception of knowledge drivers.Practical implicationsPublic institutions should be attentive to people with more time of service because they may have difficulties with technological advances, reorganization of processes and adaptation to new ways of sharing knowledge.Originality/valueThis study advances on the analysis of KM results in the public sector and tests the moderation effect of time of service.

A semantic reasoning-based emergency rescue assistant decision method for maritime accidents involving chemicals

Maritime accidents involving chemicals (MAICs) constitute a unique category of marine emergency characterized by low frequency, high risk, and complex disposal challenges. These accidents often entail fires, explosions, and pollutant leakage, demanding effective emergency responses. The success of MAICs rescue operations relies on multiple factors, encompassing the structural features of the involved vessel, personnel, cargo, marine environment, and the availability of resources and response procedures. Proficiency in various professional fields, including ship transportation, chemistry, firefighting, and environmental science, is essential for informed decision-making. This paper addresses the need for a standardized description of knowledge in the MAICs emergency rescue decision-making process, aiming to enhance practical application frequency and decision-making efficiency. Employing ontology theory, the approach involves structurally modeling the knowledge of MAICs emergency rescue, constructing an ontology model, and establishing a decision rule base. Validating the proposed method, the emergency response to the “Longqing 1″ accident is examined as a case study, illustrating its potential for supporting MAICs emergency rescue decision-making. The application of ontology theory in this context holds both theoretical and practical significance. It facilitates the sharing, reuse, and expansion of knowledge in the emergency rescue field, providing crucial technical support for intelligent decision-making in MAICs emergencies.

Scales of plant stewardship in the precontact Pacific Northwest, USA

Numerous oral histories and substantial ethnographic evidence illustrate how plant species, communities, and even landscapes were extensively managed and cared for by ancestral communities in the Pacific Northwest. Camas ( Camassia spp.) is one such cultural keystone plant, common from the Pacific Ocean to the Rocky Mountains, with numerous records describing its role as a staple food for many Northwest peoples. Supporting deep time archeological evidence for such management or stewardship practices, however, has remained elusive. In this paper we analyze archived collections of archeological camas bulbs from 11 sites across the Willamette Valley, Oregon to demonstrate people began preparing camas within earth ovens by approximately 8000 calendar years before present and deliberately harvesting sexually mature camas plants circa 3500 calendar years before present. We compare these findings with climatological, palynological, and fire history reconstructions to discuss stewardship strategies for camas and associated plant communities through time at the population, community, and landscape levels. These findings confirm and expand upon Indigenous knowledges as well as offer time-tested methods for cultural keystone conservationists seeking to revitalize traditional plant stewardship practices throughout this region and beyond. This “camas case study” also offers another example of a human-plant symbiotic relationship, expanding our knowledge of plant food pathways, processes, and mutualisms.

Anaerobic biodegradation of perfluorooctane sulfonate (PFOS) and microbial community composition in soil amended with a dechlorinating culture and chlorinated solvents

Perfluorooctane sulfonate (PFOS), one of the most frequently detected per- and polyfluoroalkyl substances (PFAS) occurring in soil, surface water, and groundwater near sites contaminated with aqueous film-forming foam (AFFF), has proven to be recalcitrant to many destructive remedies, including chemical oxidation. We investigated the potential to utilize microbially mediated reduction (bioreduction) to degrade PFOS and other PFAS through addition of a known dehalogenating culture, WBC-2, to soil obtained from an AFFF-contaminated site. A substantial decrease in total mass of PFOS (soil and water) was observed in microcosms amended with WBC-2 and chlorinated volatile organic compound (cVOC) co-contaminants — 46.4 ± 11.0 % removal of PFOS over the 45-day experiment. In contrast, perfluorooctanoate (PFOA) and 6:2 fluorotelomer sulfonate (6:2 FTS) concentrations did not decrease in the same microcosms. The low or non-detectable concentrations of potential metabolites in full PFAS analyses, including after application of the total oxidizable precursor assay, indicated that defluorination occurred to non-fluorinated compounds or ultrashort-chain PFAS. Nevertheless, additional research on the metabolites and degradation pathways is needed. Population abundances of known dehalorespirers did not change with PFOS removal during the experiment, making their association with PFOS removal unclear. An increased abundance of sulfate reducers in the genus Desulfosporosinus (Firmicutes) and Sulfurospirillum (Campilobacterota) was observed with PFOS removal, most likely linked to initiation of biodegradation by desulfonation. These results have important implications for development of in situ bioremediation methods for PFAS and advancing knowledge of natural attenuation processes.

Implementing Mental Health Screening for Adolescent Hematology and Oncology Patients: A Quality Improvement Initiative.

Purpose: Adolescents and young adults (AYA) with chronic illnesses experience an increase in mental health concerns. A mental health screening (MHS) process for hematology and oncology patients was implemented in a single institution. The quality improvement project was conducted to integrate a MHS process, educate providers about the importance of mental health in this patient population, and evaluate the process. Methods: The COM-B (capability, opportunity, motivation-behavior) model for behavior change was used to inform strategic planning and Plan-Do-Study-Act (PDSA) methodologies for process improvement. Retrospective chart reviews and surveys were conducted to determine missed screening rates and providers' perceptions, knowledge, attitudes, and skills of the MHS process. Results: Of 334 eligible patient encounters, the missed screening rate was 15.0%, the overall error rate of completing the screening was 3.8%, the error rate of completing the suicide or self-harm indicator was 2.6%, and the missed medical social worker touch point was 4.8%. Conclusion: The rising rates of mental health concerns in AYA hematology and oncology patients call for streamlined MHS processes to improve the identification of patients who may need intervention and services. Processes should be tailored to workflows and available resources. Future PDSA cycles will include providing dedicated nursing education and determining the cost needed to meet the rising mental health needs of the AYA hematology and oncology population.

The effect of surface roughness on the performance of 3D printed surface plasmon resonance sensors for refractive index measurements

AbstractIn this study, a polymer-based surface plasmon resonance (SPR) sensor for refractive index measurements was designed and manufactured via inkjet 3D printing; then, it was optically characterized. Next, it was investigated how the surface finish of the 3D printed optical waveguide affects the sensor performance, i.e., its sensitivity. More in detail, it was studied how the surface roughness changes with the placement of the 3D printed items on the building platform. To achieve this purpose, a Phase I distribution-free quality monitoring analysis of the selected manufacturing process was implemented for a small pilot production run. The aim was to check the stability of surface roughness versus the placement of the 3D printed parts on the building platform. The 3D printed sensor’s surface roughness was assessed through a profilometry study. In particular, the surface roughness was determined for the core of the optical waveguide used to excite the SPR phenomena. Furthermore, the SPR sensors were optically characterized to find the existing relationship between their sensitivity and the considered quality of surface finish. In particular, by varying the surface roughness of the used waveguide, the light scattering in the waveguide changes, and the SPR sensitivity changes too, similarly to the light-diffusing fibers covered by gold nanofilms where the guided light is scattered through a plurality of voids distributed in the core. The procedure followed to investigate the sensor roughness, and establishing their performance enabled the optimal operative range for their application in practice to be identified. Finally, a better knowledge of the 3D printing manufacturing process has been achieved to improve quality of surface finish.

Linking information technology use with corporate entrepreneurship: The mediation role of openness to external knowledge

AbstractFirms are increasingly applying multiple information technologies (ITs) to pursue corporate entrepreneurship. However, how different ITs can be leveraged collectively to achieve corporate entrepreneurship remains largely underexplored. Drawing upon the knowledge‐based view, we develop an integrative theoretical model to delineate how three types of commonly deployed IT (i.e. organisational enterprise systems use, organisational social media use and top management team social media use) can be used collectively in the knowledge acquisition and utilisation processes to achieve corporate entrepreneurship. Specifically, we posit that organisational IT uses (i.e. organisational enterprise systems use and organisational social media use) enhance openness to external knowledge in the knowledge acquisition process, which in turn serves as the mediation mechanism to channel organisational IT uses into corporate entrepreneurship. Moreover, top management team IT use (i.e. top management team social media use) shapes the effect of openness to external knowledge on corporate entrepreneurship in the knowledge utilisation process. The empirical analysis using multi‐respondent survey data from 1252 managers in 313 firms provides strong support for the proposed model. This study contributes to the information systems research on how IT influences corporate entrepreneurship by distinguishing the roles of organisational enterprise systems use, organisational social media use and top management team social media use in enhancing corporate entrepreneurship through firms' openness to external knowledge.

Knowledge management and fashion retail performance: the moderating role of product complexity

PurposeThis study explores the role of knowledge management capabilities (KMCs) in enhancing competitive advantage and organisational performance in fashion retailing. Employing the resource-based view (RBV) and knowledge-based view (KBV) perspectives, it investigates the interplay between managing knowledge effectively and fashion products’ complexity. The goal is to provide new insights into optimising KMC for greater agility and success in the fashion retail industry.Design/methodology/approachThe study analysed survey data from 322 US fashion retail professionals using partial least squares structural equation modelling (PLS-SEM).Findings The results revealed that knowledge infrastructure capability enhanced both competitive advantage and organisational performance significantly. In contrast, knowledge process capability did not significantly affect competitive advantage, it improved organisational performance. Importantly, product complexity moderated the relationship between competitive advantage and organisational performance negatively.Practical implications This study underscores the necessity for retailers in the fashion industry to enhance their KMC to bolster competitive advantage and organisational performance, while it also acknowledges product complexity’s effect on these strategies. These insights offer actionable guidance for industry leaders to optimise knowledge management to navigate the rapidly evolving retail landscape.Originality/value This research offers novel insights into the interplay of product complexity and KMC in fashion retail and highlights the unique effects on competitive advantage and organisational performance valuable for both academia and industry.

Polyethylene terephthalate (PET)-degrading bacteria in the pelagic deep-sea sediments of the Pacific Ocean

Polyethylene terephthalate (PET) plastic pollution is widely found in deep-sea sediments. Despite being an international environmental issue, it remains unclear whether PET can be degraded through bioremediation in the deep sea. Pelagic sediments obtained from 19 sites across a wide geographic range in the Pacific Ocean were used to screen for bacteria with PET degrading potential. Bacterial consortia that could grow on PET as the sole carbon and energy source were found in 10 of the 19 sites. These bacterial consortia showed PET removal rate of 1.8%–16.2% within two months, which was further confirmed by the decrease of carbonyl and aliphatic hydrocarbon groups using attenuated total reflectance–Fourier-transform infrared analysis (ATR-FTIR). Analysis of microbial diversity revealed that Alcanivorax and Pseudomonas were predominant in all 10 PET degrading consortia. Meanwhile, Thalassospira, Nitratireductor, Nocardioides, Muricauda, and Owenweeksia were also found to possess PET degradation potential. Metabolomic analysis showed that Alcanivorax sp. A02-7 and Pseudomonas sp. A09-2 could turn PET into mono-(2-hydroxyethyl) terephthalate (MHET) even in situ stimulation (40 MPa, 10 °C) conditions. These findings widen the currently knowledge of deep-sea PET biodegrading process with bacteria isolates and degrading mechanisms, and indicating that the marine environment is a source of biotechnologically promising bacterial isolates and enzymes.

Feature-weight and Cluster-weight Learning in Fuzzy c-means Method for Semi-Supervised Clustering

Semi-supervised clustering aims to guide the clustering by utilizing auxiliary information about the class labels. Among the semi-supervised clustering categories, the constraint-based approach uses the available pairwise constraints in some steps of the clustering procedure, usually by adding new terms to the objective function. Considering this category, Semi-supervised FCM (SSFCM) is a semi-supervised version of the fuzzy c-means algorithm, which takes advantage of fuzzy logic and auxiliary class distribution knowledge. Despite the performance enhancement caused by incorporating this extra knowledge in the clustering process, semi-supervised fuzzy approaches still suffer from some problems. All the data attributes in the feature space are assumed to have equal importance in the cluster formation, while some features may be more informative than others. Thus the feature importance issue is not addressed in the semi-supervised category. This paper proposes a novel Semi-Supervised Fuzzy c-means approach, which is designed based on Feature-Weight, and Cluster-Weight learning, named SSFCM-FWCW. Inspired by the SSFCM, a fuzzy objective function is presented, which is composed of (1) a semi-supervised term representing the external class knowledge; (2) a feature weighting; and (3) a cluster weighting. Both feature weights and cluster weights are determined adaptively during the clustering. Considering these two techniques leads to insensitivity to the initial center selection, insensitivity to noise, and consequently helps to form an optimal clustering structure. Experimental comparisons are carried out on several benchmark datasets to evaluate the proposed approach's performance, and promising results are achieved. The Matlab implementation source code of the proposed method is publicly accessible at https://github.com/Amin-Golzari-Oskouei/SSFCM-FWCW.

Integrated micro-scale protein a chromatography and Low pH viral inactivation unit operations on an automated platform.

High throughput process development (HTPD) is established for time- and resource- efficient chromatographic process development. However, integration with non-chromatographic operations within a monoclonal antibody (mAb) purification train is less developed. An area of importance is the development of low pH viral inactivation (VI) that follows protein A chromatography. However, the lack of pH measurement devices at the micro-scale represents a barrier to implementation, which prevents integration with the surrounding unit operations, limiting overall process knowledge. This study is based upon the design and testing of a HTPD platform for integration of the protein A and low pH VI operations. This was achieved by using a design and simulation software before execution on an automated liquid handler. The operations were successfully translated to the micro-scale, as assessed by analysis of recoveries and molecular weight content. The integrated platform was then used as a tool to assess the effect of pH on HMWC during low pH hold. The laboratory-scale and micro-scale elution pools showed comparable HMWC across the pH range 3.2-3.7. The investigative power of the platform is highlighted by evaluating the resources required to conduct a hypothetical experiment. This results in lower resource demands and increased labor efficiency relative to the laboratory-scale. For example, the experiment can be conducted in 7 h, compared to 105 h, translating to labor hours, 3 h and 28 h for the micro-scale and laboratory-scale, respectively. This presents the opportunity for further integration beyond chromatographic operations within the purification sequence, to establish a fit-to-platform assessment tool for mAb process development.

The influence of fractionality and unconstrained parameters on mathematical and graphical analysis of the time fractional phi-four model

In the framework of several nonlinear physical phenomena arising from water wave mechanics, this work recovers some new precise solutions to the time-fractional phi-four equation. For this, the phi-four equation's space and time fractional transformation is converted into an ordinary differential equation (ODE). The improved modified extended tanh function (imETF) approach is then employed by the ODE as a powerful method based on the conformable derivative. Thus, lump solutions, periodic solutions, solitary and multiple soliton solutions, dark-bright soliton solutions, and Jacobi elliptic doubly periodic type solutions are studied. The imETF appro solitons applications in many scientific and engineering fields develops mathematical methodologies, helps research solitons, and advances our knowledge of nonlinear processes. The differences between the results of this investigation and those obtained earlier using alternative methods are analyzed. In terms of fractionality, unconstrained parameters, and applied method sense, all generated wave solutions are found to be new. Physical explanations and a visual representation of the effects of unconstrained parameters and fractionality on the derived solutions are provided. We find that the wave portents change as the number of unconstrained parameters and fractionality increases. In conclusion, we dynamically show that the proper transformation and the applicable imETF method are more effective in analyzing water wave dynamics and might be employed in subsequent studies to shed light on various physical phenomena.

Prejudice and Fear as Influences in Relation to a Successful Organ Donation – Experiences of Immigrants Living in Sweden

Objectives. The purpose of this study was to determine whether fear and prejudice in relation to organ donation and the transplantation of organs may influence the decision to become an organ donor. Materials and Methods. Data were collected through four group interviews using open-ended questions and qualitative content analysis. Forty participants, 16 males and 24 females from seven countries, participated in the focus group interviews. Results. The analysis resulted in three main categories, and nine subcategories. Fears and prejudice caused by tradition and customs, approval of organ donation by family members, perception of the body as a gift from parents, the influence of religious leaders, knowledge about the religious understanding of organ donation, influence of social ambience on respondents, knowledge of the donation process in the healthcare system, including knowing about life after eventual organ donation, were some of predictors in the decision to agree to organ donation. Conclusion. More education on the factors that influence organ donation, more information in schools, health institutions and through the media, as well as more research with the aim of “dispelling” fears and prejudice about organ donation would significantly improve the current situation and result in a larger number of potential organ donors.

Historical, Architectural, and Structural Virtual Tour for Conservation and Maintenance of Architectural Heritage

ABSTRACT The Virtual Tour (VT) represents a key tool used in valorising and disseminating the historical and cultural value of built heritage. Basically, it has potential in supporting interdisciplinary technical activities associated with the historical and architectural aspects related to documentation and conservation. This paper defines the methodological lines into expanding the potentialities of the VT in the framework of a rational technical management and maintenance of historical assets from the Authorities. Thus, in addition to basic information related to historical and architectonical aspects, engineering technical data collected during the knowledge path recommended by relevant National and International codes, dealing with static and seismic performance assessment and the conceptual design of structural interventions, have been included in the VT. The designed STRAINS-VT (hiSToRical, ArchItectural aNd Structural–Virtual Tour) is conceived as a dynamic approach supporting the knowledge and monitoring of valuable assets in time, being open to updates and integration. Benefits associated with the application of the proposed STRAINS-VT have been investigated referring to a real architectural heritage building located in Abruzzi Region (Italy). Research outcomes showed that the knowledge process, which goes from the digital integrated survey and the in-situ structural characterization of materials and components to the analysis and design of structural interventions, can be profitably incorporated within the VT. Particularly, the STRAINS-VT operational framework represents an accessible and easy interpretable informative hub that support technical Authorities having in charge the conservation, maintenance, and restoration of valuable assets in the decision-making, validation, and commissioning of strengthening and maintenance works.

Historical and cultural heritage and public activities of G.-A. P. Shleifer and his family

The purpose of the article is a comprehensive study of the historical and cultural heritage and public activities of Georgy-Olexandr Pavlovich Shleifer, as a representative of the German Shleifer family, who lived in Ukraine in the second half of the ХІХ – early ХХ centuries. The methodology is based on theprinciples of historicism, systematicity, scientificity, authorial objectivity, moderate narrative constructivism, as well as the use of general scientific and special historical methods. Yes, it ensured knowledge of the historical process and social development of the German ethnic group, especially the Shleifer family, based on the principles of dialectics and logic, taking into account the present. Scientific novelty. Рroved that the German ethnic group contributed to the socio-economic and cultural development of the new Motherland. Also, the issue of the relationship between the German and Ukrainian ethnic groups in various spheres was investigated using the example of a representative of the family of Georgy-Olexander Pavlovich Shleifer – an artist, architect, teacher, public figure. According to the results of this study, a positive assessment was given not only to his fruitful work, but also to the entire Shleifer family. Conclusions. The most priority areas of development have been determined, and in the future, this successful experience during the war will be used for the development of Ukraine. The great experience of German architects is clearly visible in the development of large and small cities of Ukraine. Thus, their unique creativity was manifested in the projects of representative industrial buildings and private houses in a wide variety of styles. This is especiallynoticeable in sacred architecture, not only Catholic and Lutheran churches, but also Orthodox churches and synagogues. In particular, a brilliant example is the architectural masterpieces of the famous specialist Georgy-Olexander Pavlovich Shleifer. He owns the projects of entire blocks of ancient Kyiv, religiousbuildings of various denominations, hotels and theaters. Central unique streets and unusual buildings. The capital of Ukraine is bursting with art, culture and incredible mystical stories. Through numerous parks, mysterious buildings, and the fate of Kyiv residents, we get to know it, discover it, and explore it.Prosopographic studies help to comprehensively and more reliably investigate the life and activities of the family and create a family portrait of members of the Shleifer family.