Body Of Work Research Articles

Managing grand challenges: Extending the scope of problem structuring methods and behavioural operational research

Addressing Grand Challenges (GC), such as navigating climate change or aging societies, is increasingly gaining prominence across the globe. Those researching and addressing such challenges argue that progress requires collaborative, integrated, and coordinated responses from a wide range of stakeholders including organisations, governments, communities, etc. To successfully navigate these challenges, approaches need to be able to engage with stakeholders in two ways. Firstly, in terms of eliciting a comprehensive understanding of the challenge as viewed through the many stakeholder lenses and thus managing the resultant complexity of that data and secondly through attending to the myriad socio-political considerations. Problem Structuring Methods (PSM) through their focus on managing messy, complex, wicked problems are well situated to assist in this endeavour, particularly when coupled with the growing body of work in the field of Behavioural OR (BOR). This paper illustrates how PSM with BOR can address Grand Challenges by mapping the characteristics together and proposing a framework depicting the potential contribution.

The paradox of independent board members and financial return of state-owned enterprises: Case of Lithuania

The relationship between governance measures and company performance is a widely debated topic in economics, finance, and organizational analyses with diverse outcomes in the existing scholarly body of work. This study aims to examine the relationship between the share of independent members on the board and the financial return of state-owned enterprises. Lithuania was chosen as a setting for the research because the country has been successfully implementing ambitious corporate governance reforms in the public sector and thus is recognized by the Organisation for Economic Co-operation and Development for its efforts. Within the examined dataset of 27 Lithuanian state-owned enterprises spanning 2015 to 2021, there was a notable rise in the proportion of independent board members, ascending from 13% in 2015 to 61% in 2021. However, no statistically significant correlation is discerned between the share of independent board members and financial performance indicators, specifically return on assets (r (181) = –0.020, p > 0.05) and return on equity (r (181) = –0.104, p > 0.05). The quantitative results are complemented through the administration of semi-structured interviews with a subset of board members affiliated with these enterprises. The absence of a relationship between independent board members and the financial return is explained via a more significant influence of state decisions than the effect of a board. Therefore, the appointment of independent board members alone cannot be regarded as the sole guarantor of improvement in financial returns.

The social front door: the role of social infrastructures for migrant arrival

ABSTRACT Much research on migrant arrival and settlement has looked at these processes through the lens of ‘integration’, investigating how migrants access societal realms such as the labour market, education, civil society and social networks, and mostly focusing on individual migrants’ processes of incorporation. A complementary body of work has looked at how socio-economic contexts can shape integration and social mobility. This article expands on this work by highlighting the importance of place in migrant arrival and settlement. It builds on an emerging body of literature that has emphasised that where migrants arrive plays a crucial role in their ability to access resources. Drawing on two sets of ethnographic fieldwork in East London, the article presents a micro-analysis of how migrants make their way into the city with the help of publicly accessible social infrastructures (shops, libraries, barbers, parks, etc.) and individuals working within these. The article demonstrates that social infrastructures are a crucial element amongst a range of arrival infrastructures that can be found in urban areas of long-standing immigration and highlights the role of the built environment regarding opportunities for accessing information about settlement.

Analysis of the cycle arrangement of a binary geothermal power plant using a low- and medium-temperature source

The cycle arrangement of a binary-type GeoPP using a thermal energy source with a temperature of 80 ÷ 150 °C was considered; its elements and structural connections were substantiated. A method was proposed, numerical studies were carried out to find optimal working bodies for the ORC and parameters for the operation of GeoPP in nominal and variable modes. The greatest efficiency and power in the considered modes belongs to the GeoPP operating by the ORC on the R141b freon. Since this freon is prohibited for use as having an ozone-depleting chemical structure, R245fa was selected among the ozone-safe freons considered, for which the electrical power and absolute electrical efficiency of the GeoPP have the best values at a source temperature of 80 ÷ 120 °C. R245ca and R365mfc are the most effective freons for the ORC of GeoPPs at > 120 °C.

Ensuring quick changeability of the working bodies of technological machines in the construction and maintenance of the landscape, road-building, and agricultural industries

The relevance of the subject matter is conditioned by the high-efficiency use of reconfigurable manufacturing systems during construction work and the associated need to develop and implement technological machines with replaceable working bodies. The purpose of this study is to analyze the invariance of the equipment used by types of work in landscape and landscape construction. The study used theoretical methods of analysis and synthesis of information on the principles of the practical application of a universal machine with a wide range of mounted technological working bodies. The results obtained indicate the high relevance of the issue of the rapid changeability of mounted technological working bodies. Its effective solution lies in the creation of reconfigurable production machines based on a universal wheelbase with replaceable working bodies of variable layout by type of work, for which a new design of an inter-module basing and fastening device is proposed. The possibility of its practical application in the BobCat loader system is considered. It is established that, in general, the use of the BobTach mounting frame during various technological operations ensures an increase in the efficiency of this technological equipment. In addition, it significantly increases the performance of the entire model range of equipment and testifies to the versatility of the specified mounting frame. The practical significance of the results obtained is conditioned by the possibility of their application in the development and implementation of modern technological machines with rapidly replaceable working bodies in the agricultural sector and road construction.

Neuroprotective effects of maternal melatonin administration in early-onset placental insufficiency and fetal growth restriction.

Early-onset fetal growth restriction (FGR) is associated with adverse outcomes. We hypothesised that maternal melatonin administration will improve fetal brain structure in FGR. Surgery was performed on twin-bearing ewes at 88 days (0.6 gestation), and FGR induced in one twin via single umbilical artery ligation. Melatonin was administered intravenously (6 mg/day) to a group of ewes commencing on day of surgery until 127 days (0.85 gestation), when the ewe/fetuses were euthanized, and fetal brains collected. Study groups were control (n = 5), FGR (n = 5), control+melatonin (control+MLT; n = 6) and FGR+melatonin (FGR + MLT; n = 6). Melatonin administration did not significantly alter fetal body or brain weights. Myelin (CNPase+) fibre density was reduced in FGR vs. control animals in most brain regions examined (p < 0.05) and melatonin treatment restored CNPase fibre density. Similar but less pronounced effect was seen with mature myelin (MBP+) staining. Significant differences in activated microglia (Iba-1) activity were seen between lamb groups (MLT mitigated FGR effect) in periventricular white matter, subventricular zone and external capsule (p < 0.05). Similar effects were seen in astrogliosis (GFAP) in intragyral white matter and cortex. Maternal melatonin administration in early onset FGR led to improved myelination of white matter brain regions, possibly mediated by decreased inflammation. Maternal melatonin administration might lead to neuroprotection in the growth-restricted fetus, possibly via dampening neuroinflammation and enhancing myelination. This preclinical study adds to the body of work on this topic, and informs clinical translation. Neuroprotection likely to improve long-term outcomes of this vulnerable infant group.

Hate Speech Detection in Limited Data Contexts Using Synthetic Data Generation

A growing body of work has focused on text classification methods for detecting the increasing amount of hate speech posted online. This progress has been limited to only a select number of highly resourced languages causing detection systems to either under-perform or not exist in limited data contexts. This is mostly caused by a lack of training data, which are expensive to collect and curate in these settings. In this work, we propose a data augmentation approach that addresses the problem of lack of data for online hate speech detection in limited data contexts using synthetic data generation techniques. Given a handful of hate speech examples in a high-resource language such as English, we present three methods to synthesize new examples of hate speech data in a target language that retains the hate sentiment in the original examples but transfers the hate targets. We apply our approach to generate training data for hate speech classification tasks in Hindi and Vietnamese. Our findings show that a model trained on synthetic data performs comparably to, and in some cases outperforms, a model trained only on the samples available in the target domain. This method can be adopted to bootstrap hate speech detection models from scratch in limited data contexts. As the growth of social media within these contexts continues to outstrip response efforts, this work furthers our capacities for detection, understanding, and response to hate speech. Disclaimer: This work contains terms that are offensive and hateful. These, however, cannot be avoided due to the nature of the work.

The struggle for pedagogical recognition in higher education: short stories of tension and triumph in the professional identity construction of an English for Academic Purposes (EAP) practitioner in Hong Kong

AbstractA considerable body of work now exists on the role that identity plays in understanding teachers and teaching. Developing and sustaining teacher identities in higher education can, however, be challenging given the subordinate positioning of teaching in some educational contexts. Despite the growth of English for Academic Purposes (EAP) programmes in many parts of the world, recent research suggests that EAP practitioners are especially vulnerable to being assigned marginalized identities within the academy. Therefore, this paper reports the results of a study which used a short story approach to investigate the tensions and triumphs one EAP practitioner in Hong Kong experienced in constructing her language teacher identities (LTIs). Findings suggest that her identity tensions and struggles take place across space and time and play out at different scales, including classrooms, educational institutions, and within broader societal discourses. However, the short stories presented in this paper speak not only of tension and struggle, but also of determination and resilience to construct LTIs in the academy. Consequently, the results of this study can help to raise awareness amongst stakeholders, including policy makers, leaders of higher education institutions, and language teaching practitioners, of how they can support and sustain the construction of LTIs within the academy. Implications for professional learning for language teaching practitioners and suggestions for future research are considered.

Toward Integration of Trauma, Resilience, and Equity Theory and Practice: A Narrative Review and Call for Consilience.

Investigating the roots of health and illness has inspired unprecedented growth in research on trauma and adversity across academic and scientific disciplines. Can this science achieve its potential? How? Much of this research remains siloed and fragmented, limiting integrative approaches to translating science into a unified paradigm. From age-old traditions to the health, social, and basic sciences, this established and rapidly growing body of work has overwhelmingly found that experiences, both positive and negative, profoundly influence life course health. Such convergence across disciplines highlights the complex, intersectional nature and impact of experiences and reveals consilience: agreement of findings across diverse fields. This narrative review explored 400 sources to curate a representative sample of 98 tracing the evolution of trauma theory and practice from the 19th century to the present. It emphasizes research from 1970 to 2022, with a specific focus on adverse childhood experiences, everyday discrimination, sexual and gender minority stress, acculturative stress, and positive childhood experiences. This research reveals how experiences are a cause, catalyst, and key ingredient of health or of illness, disability, and disparities. The review also proposes steps toward a unified paradigm and showcases innovative integrated models and applications. These examples provide a more comprehensive and nuanced understanding and lead to more effective solutions. Recognition of consilience can connect multidimensional insights on trauma, resilience, and equity to spark further cross-sector innovations toward health, prevention, and justice. Realizing the promise of consilience will require a new era of radical intentionality, ongoing dialogue, and interdisciplinary collaboration to achieve necessary system transformation.

On developing structural and technical solutions to ensure the vibratory displacement of the working medium

A research study into using vibration technologies for the transport of granular working medium was carried out. A vibration testing machine, whose calculation model includes a mechanical vibration system having two degrees of freedom with a rigid body on elastic supports, was selected as an object of research. The study involved analysing the variation in the system vibrations by using the structural theory for vibration isolation systems, where a dynamic equivalent represented by a structural diagram of an automatic control system is compared to the initial calculation model. The structural diagram of the system is based on the motion equations in operator form obtained using Lagrange differential equations of the second kind. The Laplace transform was used to transform the initial data for the system of differential motion equations. The paper addresses the characteristics of a new structural and technical solution in the field of vibratory displacement of a granular working medium using the working body of a vibration technological machine, which involves introducing a number of additional weights, levers, springs, and hinges. Here, springs comprise generalised structures containing both elastic elements and vibration dampers. To connect the coordinates of the endpoints in the working body of the vibration technological machine, analytical relations were obtained. It was established that varying the parameters of the elements within the elastic-lever blocks allows the dynamic state of the vibration technological machine to be controlled. In addition, it was shown that the obtained structural diagram helps to derive mathematical expressions for transfer functions, comprising the ratio between the motion coordinates of a technical object and an external force disturbance. On the basis of these expressions, the transfer function for the ratio of the motion coordinates of the vibration technological machine was formulated. A mathematical model of a vibration technological machine was obtained in the form of a transfer function, including a large number of additional elastic and massinertial elements, where the parameters of vibration displacement can be adjusted automatically. The research results will allow the existing technical solutions in the field of technological engineering to be modernised.

Introducing a new state-level occupational licensing requirement database

PurposeThis paper aims to discuss a new source of data detailing state level occupational licensing requirements for 50 professions.Design/methodology/approachThis study's research team gathered state level licensing requirements for 50 profession in all 50 states and DC from 2022 to 2023. The authors include the type of regulation, entry requirements like fees, education, training, good moral character provisions and renewal requirements. The authors include Standard Occupational Classification industry codes to allow researchers to merge it with other publicly available data sources. Finally, the authors present descriptive statistics and provide a comparison of licensing requirements for audiologists, an occupation with variation in entry requirements.FindingsThe mean number of the 50 professions licensed in states is 36. On average, these professions require a bachelor's degree, $271 in licensing fees and 26 h of continuing education to renew. For the audiologist profession, there is considerable variation between states in entry requirements like fees and education.Originality/valueDespite a large body of work on occupational licensing, data limitations still exist. Most analysis focuses on whether a profession is licensed or not. However, there is considerable variation between states for the same profession, providing an avenue for work estimating the effects of specific licensing requirements. A new source of data is introduced and discussed for researchers to use in future analyses of occupational licensing.

Analyzing the Tower of Babel with Kaiaulu

Context:An extensive body of work has examined socio-technical activities in software development; however, the availability of tools to enable these studies is limited. Aim:We extend Kaiaulu, a software package for Mining Software Repositories to enable a broad spectrum analysis of Social Smells and Motifs. Methods:We perform a literature review to identify what tools are available which implement graph construction methods and social smell metrics, contextualizing the contributions of our tool. Results:The few tools identified in the literature either leverage fewer parts of the software ecosystem, have been archived, or depend on components no longer maintained. Conclusion:The socio-technical features in Kaiaulu complement existing tools and related literature, while providing a simple architecture to facilitate ease or use, and ease of learning, benefitting reproducibility. Tool Repository:github.com/sailuh/kaiaulu

An Emerging Foodborne Pathogen Spotlight: A Bibliometric Analysis and Scholarly Review of Escherichia coli O157 Research.

Foodborne infections pose a substantial global threat, causing an estimated 600 million illnesses and resulting in approximately 420,000 deaths annually. Among the diverse array of pathogens implicated in these infections, Escherichia coli (E. coli), specifically the O157 strain (E. coli O157), emerges as a prominent pathogen associated with severe outbreaks. This study employs a comprehensive bibliometric analysis and scholarly review focused on E. coli O157 research. The bibliometric analysis highlights the significant role played by the United States in the E. coli O157 research domain. Further exploration underscores the noteworthy contributions of the researcher Doyle MP, whose body of work, consisting of 84 documents and an impressive H-Index of 49, reflects their substantial impact in the field. Recent research trends indicate a discernible shift towards innovative detection methods, exemplified by the adoption of CRISPR-CAS and Loop-Mediated Isothermal Amplification. Moreover, high-throughput whole-genome sequencing techniques are gaining prominence for the expeditious analysis of pathogenic E. coli strains. Scientists are increasingly exploring antimicrobial agents, including phage therapy, to address the challenges posed by antibiotic-resistant E. coli strains, thereby addressing critical concerns related to multi-drug resistance. This comprehensive analysis provides vital insights into the dynamic landscape of E. coli O157 research. It serves as a valuable resource for researchers, policymakers, and healthcare professionals dedicated to mitigating E. coli O157 outbreaks and advancing global public health strategies.

A feeling for the algorithm: Diversity, expertise, and artificial intelligence

Diversity is often announced as a solution to ethical problems in artificial intelligence (AI), but what exactly is meant by diversity and how it can solve those problems is seldom spelled out. This lack of clarity is one hurdle to motivating diversity in AI. Another hurdle is that while the most common perceptions about what diversity is are too weak to do the work set out for them, stronger notions of diversity are often defended on normative grounds that fail to connect to the values that are important to decision-makers in AI. However, there is a long history of research in feminist philosophy of science and a recent body of work in social epistemology that taken together provide the foundation for a notion of diversity that is both strong enough to do the work demanded of it, and can be defended on epistemic grounds that connect with the values that are important to decision-makers in AI. We clarify and defend that notion here by introducing emergent expertise as a network phenomenon wherein groups of workers with expertise of different types can gain knowledge not available to any individual alone, as long as they have ways of communicating across types of expertise. We illustrate the connected epistemic and ethical benefits of designing technology with diverse groups of workers using the examples of an infamous racist soap dispenser, and the millimeter wave scanners used in US airport security.

Empirical factors affecting memory in collaborative versus nominal groups.

When individuals collaborate to try to retrieve some encoded information, not surprisingly, the collaborative group typically remembers more than does any individual. When the non-redundant output from the individuals is combined, however, this nominal group often, surprisingly, remembers more than does the collaborative group. This finding is known as collaborative inhibition. The finding of collaborative inhibition, that collaborative groups remember less would be predicted given the summed non-redundant memories of an equal number of individuals remembering alone, indicates that there is something about remembering in a collaborative group that impairs the performance of the individuals in that group. Research directed toward what that something is has focused on both social and cognitive factors, with the consensus being that cognitive factors play the more important role. An extensive body of work on this topic has accumulated over the past 25+ years, with researchers proposing theoretical explanations and generating empirical data revealing the conditions under which this collaborative inhibition is more versus less likely to occur. The purpose of this review is to summarize those empirical factors to provide a resource for researchers interested in pursuing this work.

A survey of multi-agent deep reinforcement learning with communication

Communication is an effective mechanism for coordinating the behaviors of multiple agents, broadening their views of the environment, and to support their collaborations. In the field of multi-agent deep reinforcement learning (MADRL), agents can improve the overall learning performance and achieve their objectives by communication. Agents can communicate various types of messages, either to all agents or to specific agent groups, or conditioned on specific constraints. With the growing body of research work in MADRL with communication (Comm-MADRL), there is a lack of a systematic and structural approach to distinguish and classify existing Comm-MADRL approaches. In this paper, we survey recent works in the Comm-MADRL field and consider various aspects of communication that can play a role in designing and developing multi-agent reinforcement learning systems. With these aspects in mind, we propose 9 dimensions along which Comm-MADRL approaches can be analyzed, developed, and compared. By projecting existing works into the multi-dimensional space, we discover interesting trends. We also propose some novel directions for designing future Comm-MADRL systems through exploring possible combinations of the dimensions.

Learning from Adolescents and Caregivers to Enhance Acceptability and Engagement Within Virtual Dialectical Behavior Therapy for Adolescents Skills Groups: A Qualitative Study.

Despite the significant increase in adolescent mental health challenges in recent years, structural barriers continue to limit access to and engagement in mental health services. As such, opportunities to learn directly from adolescents and their families on how to best structure and deliver services are paramount. The current study assumes a multi-informant approach and reports on adolescents' and caregivers' (N = 33) experiences in an adapted telehealth/hybrid Dialectical Behavior Therapy for Adolescents (DBT-A) program. Focus groups were conducted across two cohorts of families who participated in DBT-A skills groups, to collect family-centered data on the acceptability of program modifications, engagement in theadapted telehealth/hybrid DBT-A, and recommendations for improvement. Participants were predominately Latine White and were from a broad range of socioeconomic backgrounds. Additionally, 45.5% of the adolescents identified as LGBTQ + . Focus group findings emphasized how the telehealth platform was both convenient and disengaging, and how in-person sessions offered improved group connection and content engagement. Participants underscored the importance of balancing multi-family group sessions with adolescent- and caregiver-only group sessions in the program, and adolescents emphasized a need for the DBT-A program to better center adolescents' unique experiences and voices throughout sessions. Both adolescents and caregivers suggested modifications to synthesize the content and improve generalizability of the DBT-A skills to their real lives. Overall, these findings add to a new and evolving branch of DBT-A qualitative inquiry, as well as the growing body of work that recommends incorporating the voices of people with lived experiences into the development and modification of psychological services.

CAMP-phosphodiesterase 4D7 (PDE4D7) forms a cAMP signalosome complex with DHX9 and is implicated in prostate cancer progression.

A robust body of work has demonstrated that a reduction in cAMP-specific 3',5'-cyclic phosphodiesterase 4D isoform 7 (PDE4D7) is linked with negative prostate cancer outcomes; however, the exact molecular mechanism that underpins this relationship is unknown. Epigenetic profiling has shown that the PDE4D gene can be hyper-methylated in transmembrane serine protease 2 (TMPRSS2)-ETS transcriptional regulator ERG (ERG) gene-fusion-positive prostate cancer (PCa) tumours, and this inhibits messenger RNA (mRNA) expression, leading to a paucity of cellular PDE4D7 protein. In an attempt to understand how the resulting aberrant cAMP signalling drives PCa growth, we immunopurified PDE4D7 and identified binding proteins by mass spectrometry. We used peptide array technology and proximity ligation assay to confirm binding between PDE4D7 and ATP-dependent RNA helicase A (DHX9), and in the design of a novel cell-permeable disruptor peptide that mimics the DHX9-binding region on PDE4D7. We discovered that PDE4D7 forms a signalling complex with the DExD/H-box RNA helicase DHX9. Importantly, disruption of the PDE4D7-DHX9 complex reduced proliferation of LNCaP cells, suggesting the complex is pro-tumorigenic. Additionally, we have identified a novel protein kinase A (PKA) phosphorylation site on DHX9 that is regulated by PDE4D7 association. In summary, we report the existence of a newly identified PDE4D7-DHX9 signalling complex that may be crucial in PCa pathogenesis and could represent a potential therapeutic target.

Understanding the social capital – happiness link among online brand communities: influence of psychological well-being and membership duration

PurposeBased on the principles of the social capital theory (SCT), this study aimed to generate hypotheses and evaluate a mediated moderated model that examined the impact of social capital on online brand community happiness (OBCH).Design/methodology/approachUsing 215 online questionnaires from users of private online brand communities (OBCs) , researchers examined the hypothesized connections between variables. The SPSS 21.0 and AMOS 26.0 were applied to fulfill the purpose.FindingsFor the goodness of model fit, the authors have applied cut off criteria for fit indexes given by Hu and Bentler (1999) and model-fit measures indicators, i.e. CMIN/DF 1.397, CFI 0.958, SRMR 0.045, RMSEA 0.043 and PCLOSE 0.866, which meet the minimum acceptable criteria. Based on the results, social capital significantly affects psychological well-being (PWB), which, consequently, leads toward increased happiness among OBCs. Furthermore, membership duration moderates the relationship between PWB and OBCs.Research limitations/implicationsThe authors have utilized a cross-sectional research design, and it limits the researcher’s ability to generalize the findings. These findings imply how social capital leverages PWB and OBCH. Moreover, the presence of membership duration helps to understand that members who spend more time in the community are happier in the OBCs.Practical implicationsIn this age of social media, it provides valuable guidance to the administrators of private Facebook groups dedicated to specific brands, enhancing the definition and development of OBC operations and community interactions.Originality/valueThis research takes a broader look at social capital’s impact on happiness among private OBCs. The current research contributes to the existing body of work by emphasizing the role of PWB in generating happiness. The study is novel in examining the mediating moderating model of PWB and membership duration to explore deep insights for social media platforms.

Technical parameters analyses of different types of impact-vibration soil compacting machines

Introduction. Impact-vibration machines, which perform soil compaction with periodic removal of the working body from the ground, are the most common for mechanization of soil compaction in road construction: self-propelled non-reversible and reversible vibratory plates, vibratory rammers, mounted excavator vibratory plates, trench vibratory rollers and soil vibratory rollers. It is necessary to analyze the main technical characteristics of impactvibration machines of different types in order to assess the possibility of developing a mathematical model of soil compaction, combining several types of impact-vibration machines at once.Materials and methods. The technical characteristics of different types of impact-vibration machines for the analysis: 342 models of non-reversible self-propelled vibratory plates; 312 models of reversible self-propelled vibratory plates; 311 models of vibratory ground rollers; 63 models of mounted vibratory plates for excavators; 24 models of vibratory rammers and 21 models of trench vibratory rollers are used. The machine mass (for vibratory plates of different types) or the mass per compaction module (for vibratory rollers of different types) was taken as a main parameter.Results. The graphical dependencies have been obtained. They illustrate that for the given types of shock-vibration machines the excitation force, relative excitation force and oscillation frequency are located on mutually contiguous and continuing parts of curves. This is a common pattern: as the mass of the machine increases, the excitation force increases, but the relative excitation force and frequency of oscillation decrease. Vibratory rammers are out of this general pattern, because at comparable weight they have significantly lower frequency of oscillation (9...12 Hz) and high amplitude (50...75 mm). Also, the mounted excavator vibratory plates stand out from the general pattern, having a smaller range of vibration frequencies for machines of similar weight, moreover, they perform soil compaction positionally, and not in the process of movement at a certain speed, as other impact-vibration machines.Discussion and conclusions. The common pattern of changes in the main technical characteristics of selfpropelled non-reversible and reversible vibratory plates, trench rollers and soil vibratory rollers at close nominal amplitude of their vibrations gives grounds for the development of a unified theoretical description of the interaction of the working bodies of these types of machines with the compacted soil and a common method of calculating the influence of technical characteristics and operating modes of these machines on the results of soil compaction.