Behavior Of Participants Research Articles

A Bluetooth-Based Smartphone App for Detecting Peer Proximity: Protocol for Evaluating Functionality and Validity.

While ecological momentary assessment (EMA) is commonly used to study social contexts and social influence in the real world, EMA almost exclusively relies on participant self-report of present circumstances, including the proximity to influential peers. There is the potential for developing a proximity sensing approach that uses small Bluetooth beacons and smartphone-based detection and data collection to collect information about interactions between individuals passively in real time. This paper aims to describe the methods for evaluating the functionality and validity of a Bluetooth-based beacon and a smartphone app to identify when ≥2 individuals are physically proximal. We will recruit 20 participants aged 18 to 29 years with Android smartphones to complete a 3-week study during which beacon detection and self-report data will be collected using a smartphone app (MEI Research). Using an interviewer-administered social network interview, participants will identify up to 3 peers of the same age who are influential on health behavior (alcohol use in this study). These peers will be asked to carry a Bluetooth beacon (Kontakt asset tag) for the duration of the study; each beacon has a unique ID that, when detected, will be recorded by the app on the participant's phone. Participants will be prompted to respond to EMA surveys (signal-contingent reports) when a peer beacon encounter meets our criteria and randomly 3 times daily (random reports) and every morning (morning reports) to collect information about the presence of peers. In all reports, the individualized list of peers will be presented to participants, followed by questions about peer and participant behavior, including alcohol use. Data from multiple app data sets, including beacon encounter specifications, notification, and app logs, participant EMA self-reports and postparticipation interviews, and peer surveys, will be used to evaluate project goals. We will examine the functionality of the technology, including the stability of the app (eg, app crashes and issues opening the app), beacon-to-app detection (ie, does the app detect proximal beacons?), and beacon encounter notification when encounter criteria are met. The validity of the technology will be defined as the concordance between passive detection of peers via beacon-to-app communication and the participant's EMA report of peer presence. Disagreement between the beacon and self-report data (ie, false negatives and false positives) will be investigated in multiple ways (ie, to determine if the reason was technology-related or participant compliance-related) using encounter data and information collected from participants and peers. Participant recruitment began in February 2023, and enrollment was completed in December 2023. Results will be reported in 2025. This Bluetooth-based technology has important applications and clinical implications for various health behaviors, including the potential for just-in-time adaptive interventions that target high-risk behavior in real time. DERR1-10.2196/50241.

Transcending medical consultations

Abstract The role of healthcare interpreters has attracted much interest over the years, with particular emphasis on the distance between an invisible, uninvolved prescribed behaviour that contrasts with the interpreters’ behaviour in practice as active participants. However, much of the existing literature focuses on unfolding medical consultations where providers, patients and interpreters are simultaneously present, often overlooking situations when interpreters are left alone with patients. This involves areas of special role complexity in which interpreters must choose whether or not to become visible to the patient in what has been defined as the in-between (Shaffer, 2020). This contribution aims to observe the healthcare interpreter’s role beyond the very act of the medical interview. Inspired by Shaffer (2020), we examine 66 moments “in-between” involving a sample of six interpreters (including four student interns) that took place prior, mid and end of consultations in a Spanish hospital. Rather than staying invisible, our analysis reveals that interpreters of the sample often participate in moments in-between (89.39%) to enact different roles (i.e., companion/confidant, advocate for the profession, mediator, institutional navigator, and healthcare ambassador). Among other aspects, triggers for role adoption in the in-between space include preventing conflict and deploying empathy. In this study, the behaviour of interpreters has demonstrated to influence the subsequent development of medical consultations (e.g., saving time or facilitating history taking). In light of preliminary findings that must be interpreted considering our research context, the next step is to examine how the healthcare interpreter’s behaviour in the in-between zone can facilitate interprofessional collaboration to provide patients with quality-care.

Predictors of medical staff's knowledge, attitudes and behavior of dysphagia assessment: A cross-sectional study.

This study aimed to explore the predictors of medical staff's Knowledge, Attitudes and Behavior of dysphagia assessment, to provide reference suggestions for constructing the training program and improving the rate of dysphagia assessment. This study was a cross-sectional study. A total of 353 nurses and doctors from four provinces (Guangdong, Hunan, Guangxi, and Shaanxi) who were selected by convenience sampling and invited to complete the questionnaire through WeChat, DingTalk, and Tencent instant messenger from May 23 to 31, 2022. A self-reported questionnaire was used to assess participants' Knowledge, Attitude and Behavior regarding dysphagia assessment. Participants' sociodemographic, training, and nursing experience were measured using the general information sheet and analyzed as potential predictors of medical staff's Knowledge, Attitudes and Behavior of dysphagia assessment. A multiple linear regression model was used to identify the predictors. The mean scores for Knowledge, Attitudes and Behavior of dysphagia assessments were (15.3±2.7), (35.9±4.9) and (41.4±14.4) respectively. Knowledge and Behavior of medical staff were medium, and attitude was positive. Multiple linear regression results indicated that experience in nursing patients with dysphagia, related training for dysphagia, working years in the field of dysphagia related diseases, specialized training (geriatric, swallowing and rehabilitation) and department (Neurology, Rehabilitation, Geriatrics) were significant predictors of Behavior, accounting for 31.5% of the variance. Working years in the field of dysphagia related diseases, department (Neurology, Rehabilitation, Geriatrics) and title were significant predictors of medical staff's knowledge, accounting for 7.8% of variance. Education, experience in nursing patients with dysphagia, department (Neurology, Rehabilitation, Geriatrics) and related training for dysphagia were significant predictors of medical staff's attitude, accounting for 12.9% of variance. The study findings implied that nursing experience, training, and work for patients with swallowing disorders could have positive effects on the Knowledge, Attitudes and Behavior of medical staff regarding dysphagia assessment. Hospital administrators should provide relevant resources, such as videos of dysphagia assessment, training centers for the assessment of dysphagia, and swallowing specialist nurses.

Incorporating uncertainty within dynamic interoceptive learning.

Interoception, the perception of the internal state of the body, has been shown to be closely linked to emotions and mental health. Of particular interest are interoceptive learning processes that capture associations between environmental cues and body signals as a basis for making homeostatically relevant predictions about the future. One method of measuring respiratory interoceptive learning that has shown promising results is the Breathing Learning Task (BLT). While the original BLT required binary predictions regarding the presence or absence of an upcoming inspiratory resistance, here we extended this paradigm to capture continuous measures of prediction (un)certainty. Sixteen healthy participants completed the continuous version of the BLT, where they were asked to predict the likelihood of breathing resistances on a continuous scale from 0.0 to 10.0. In order to explain participants' responses, a Rescorla-Wagner model of associative learning was combined with suitable observation models for continuous or binary predictions, respectively. For validation, we compared both models against corresponding null models and examined the correlation between observed and modeled predictions. The model was additionally extended to test whether learning rates differed according to stimuli valence. Finally, summary measures of prediction certainty as well as model estimates for learning rates were considered against interoceptive and mental health questionnaire measures. Our results demonstrated that the continuous model fits closely captured participant behavior using empirical data, and the binarised predictions showed excellent replicability compared to previously collected data. However, the model extension indicated that there were no significant differences between learning rates for negative (i.e. breathing resistance) and positive (i.e. no breathing resistance) stimuli. Finally, significant correlations were found between fatigue severity and both prediction certainty and learning rate, as well as between anxiety sensitivity and prediction certainty. These results demonstrate the utility of gathering enriched continuous prediction data in interoceptive learning tasks, and suggest that the updated BLT is a promising paradigm for future investigations into interoceptive learning and potential links to mental health.

The connection of the experience of involvement in traffic accidents with the punishable behavior of traffic participants

This paper was written as part of the research project "Research of public opinion on the state of safety, behaviour and habits of participants in road traffic in the Republic of Croatia". The goal of this research is to determine the frequency of violations of traffic regulations related to drivers, pedestrians and passengers in vehicles, and to determine whether there is a connection between the experience of suffering of the aforementioned road users and their punishable behaviour. For this purpose, a quantitative research was conducted in which a multi-method approach was used in field data collection, a combination of telephone research (CATI) - 60% of the sample and online research (CAWI) - 40% of the sample. Respondents from the entire territory of the Republic of Croatia (N=2072) over the age of 16 were included in the research. In general, it can be concluded that the violation of traffic regulations is very frequent and present among the majority of different road users, and that road users who have recently experienced a traffic accident in any capacity, very rarely violate traffic regulations, as car drivers. Conversely, involvement in traffic accidents has not been shown to deter pedestrians and vehicle occupants from repeating traffic violations. The obtained results have a practical value, especially in the context of planning preventive programs and strategies, while the limitations of the research are reflected in the fact that only one independent variable was included in the correlation with committing traffic violations, regardless of other known predictors of punishable behaviour in traffic.

Stochastic Exchange Rate Dynamics, Intervention Dynamics and the Market Efficiency Hypothesis

AbstractSince currency price fluctuations hinder economic activity, exchange rate dynamics have an effect on national economies. To have a proper exchange rate policy in place, these dynamics are essential for nations with a trade economy. This study presents and examines a distinctive stochastic dynamics exchange rate model (ESI) in order to address the challenges associated with predicting the behavior of participants in some complex economic systems, which might lead to the system’s collapse. To address the issue of ESI stability by central bank interventions (managed currency) in a specified target value, a target value technique is also provided and tested. Last but not least, we examine the noise traders’ role as a major source of market uncertainty as we look at the market efficiency hypothesis for the foreign exchange market (FX).

Pengelolaan Sampah Plastik Dalam Skala Kecil: Peran Masyarakat Dalam Mengurangi Dampak Lingkungan

Most plastic waste is not processed properly and can cause pollution to the surrounding environment. This problem is currently being faced by residents of Gunung Putri Bogor District, low knowledge and lack of contribution from residents in managing organic waste and non-organic waste, leads to the dumping and burning of waste in quite large quantities, which can trigger air pollution and disease, so the aim in This service is to evaluate the effectiveness of various waste management methods, especially in the context of waste sorting, to raise awareness of the importance of managing plastic waste on a small scale, as well as providing a positive impact on environmental conservation efforts. It is hoped that the knowledge generated from this research can be used as an initial reference to increase public awareness in waste management and also encourage active community participation in reducing the impact of environmental pollution produced through a triggering approach, namely encouraging behavior change by providing information and training in the form of waste management workshops. plastic so that residents have the opportunity to handle and manage dry waste (organic and inorganic). The method used in this activity was that the researcher gave a pre-test and post-test before and after the activity. The researcher wanted to measure the level of knowledge and understanding, attitudes, and behavior of the participants in waste management. The results achieved by researchers show a growth in knowledge, attitudes, and behavior of participants in the use of small plastic waste as well as the role of the community. So it can be concluded that this activity is effective in increasing public knowledge about waste and how to manage it.

Ranting in emotional public spheres: Publicizing participatory challenges on YouTube

Ranting has a bad reputation. But is it always deserved? Online ranting has been alternatively decried for its emotion-laden hostility and praised as a beloved video genre. By exploring a qualitative corpus of YouTube rant videos, this article analyzes how problem-centric rants may serve as forms of proto civic engagement. The article shows that problem-centric rants contribute to emotional public spheres, in which emotions and logic combine to publicize personally-experienced participatory problems and to contribute to civic discourse for others similarly impacted. It reveals the discourse strategies that ranters use to persuade viewers that the site’s policies and the behavior of other participants are complicating self-expression through video. Discourse strategies include counter-balancing criticism with praise, interpellating addressees into a civic public, and focusing criticisms on the powerful. The article contributes to research on social media-based civic engagement and emotional public spheres by analyzing rant videos that expose issues with tech- nologized and commercialized communicative frameworks in digital spaces.

Stimulation in the System of Functions of Administrative Law

The article considers one of the fundamental and central problems of the theory and practice of administrative law — this is the problem of the functions it implements. The prospects of the stimulating function of administrative law, whose main purpose is to create a certain model of behavior of participants in administrative legal relations, have been investigated and substantiated. Distinctions are made between it and other functions of administrative law, including regulatory, protective, educational, humanistic, coordinating, law enforcement, and some others. When the greatest similarity between the stimulating function and the educational function of administrative law is found, attention is simultaneously drawn to its significant difference from others. The role and significance of the implementation of the stimulating function in administrative law are explained, taking into account the modern needs of the organization and ensuring public managerial relations included in its subject. A significant addition to the dogmatic part of modern administrative law, its new life cycle and the resulting demand for the development of the institution of administrative and legal incentives are emphasized.

Changes in Exercise Behaviors with Exercise Counseling

PURPOSE This study aimed to understand the changes in the exercise behavior of participants in the exercise-psychological counseling program.METHODS This study sampled adult female participants of C diet camp in Seoul, who were in stages 2~3 of the “Stages of Change Model.” A total of 60 participants were randomly assigned to the counseling group (n=30) and control group (n=30). During the 12 weeks of study, all subjects participated in the diet camp program C. The counseling group participated in the exercise psychological counseling program once a week, while the control group participated in recreational activities instead. Exercise adherence, outcome-expectancy, and satisfaction were measured once every four weeks. Latent growth models were used to analyze the measured data.RESULTS Exercise adherence, outcome-expectancy, and satisfaction in the counseling group exerted a statistically significant positive effect. A statistically significant positive effect on the change of exercise adherence variable was observed in the control group, but the trend was only 1/4 of that of the counseling group. In the control group, exercise outcome-expectancy and exercise satisfaction did not have a statistically significant outcome.CONCLUSIONS The exercise counseling program is an essential intervention strategy that enhances participants’ exercise adherence, outcome-expectancy, and satisfaction. Therefore, a positive change in exercise behaviors occurs.

Cultivating Energy Conscious Communities: The Path to Increased Efficiency

This research addresses the critical need for increased energy efficiency in communities, emphasizing the pivotal role of community involvement and awareness. With the growing concern for sustainable energy practices, empowering communities to contribute to energy efficiency initiatives is imperative. Thus, the research aims to investigate and understand the role of community empowerment in increasing energy efficiency through community role and awareness. The theory applied to the research is the theory of planned behavior. A descriptive quantitative approach is employed, utilizing a structured questionnaire based on the Likert scale. Then, after the questionnaires were collected, statistical data processing was carried out using the T-test, F-test, and validity and reliability tests. The questionnaire gauges participants' perceptions and behaviors about energy efficiency, enabling a comprehensive analysis of the community's role and awareness in promoting sustainable energy practices. Preliminary findings indicate a positive correlation between community empowerment, heightened awareness, and increased energy efficiency. The Likert scale responses provide valuable insights into the areas where communities excel and areas that require targeted interventions. The data also reveal notable patterns in community behaviors and perceptions of energy consumption and conservation. In conclusion, the research underscores the significance of community empowerment as a catalyst for enhancing energy efficiency. The findings suggest that fostering community awareness and active involvement can lead to tangible improvements in sustainable energy practices. This study contributes valuable insights for policymakers, community leaders, and energy advocates seeking effective strategies to address the global energy challenge through localized, community-driven initiatives.

Auxiliary Diagnosis of Children with Attention-Deficit/Hyperactivity Disorder: An Eye-Tracking Study with Novel Digital Biomarkers.

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in school-aged children. The lack of objective biomarkers for ADHD often results in missed diagnoses or misdiagnoses, which lead to inappropriate or delayed interventions. Eye-tracking technology provides an objective method to assess children's neuropsychological behavior. The purpose of this research was to develop an objective and reliable auxiliary diagnostic system for ADHD using eye-tracking technology. This system would be valuable for screening for ADHD in schools and communities and may help identify objective biomarkers for the clinical diagnosis of ADHD. We conducted a case-control study of children with ADHD and typically developing (TD) children. We designed an eye-tracking assessment paradigm based on the core cognitive deficits of ADHD and extracted various digital biomarkers that represented participant behaviors. These biomarkers and developmental patterns were compared between the ADHD and TD groups. Machine learning (ML) was implemented to validate the ability of the extracted eye-tracking biomarkers to predict ADHD. The performance of the ML models was evaluated using k-fold cross-validation. We recruited 216 participants, of whom 94 were children with ADHD and 122 were TD children. The ADHD group showed significantly poorer performance (for accuracy and completion time) than the TD group in the pro-, anti-, and delayed-saccade tasks. Additionally, there were significant group differences in digital biomarkers, such as pupil diameter fluctuation, regularity of gaze trajectory, and fixations on uninterested areas. Although the accuracy and task completion speed of the ADHD group increased over time, their eye movement patterns remained irregular. The 5-6-year-old TD group outperformed the 9-10-year-old ADHD group, and this difference remained relatively stable over time, which indicated that the ADHD group followed a unique developmental pattern. The ML model was effective in discriminating the groups, achieving an area under the curve of 0.965 and an accuracy of 0.908. The eye-tracking biomarkers proposed in this study effectively identified differences in various aspects of eye movement patterns between the ADHD and TD groups. In addition, the ML model constructed using these digital biomarkers achieved high accuracy and reliability in identifying ADHD. Our system can facilitate early screening for ADHD in schools and communities and provide clinicians with objective biomarkers as a reference. This study has been registrated at Chinese Clinical Trail Registry(No. ChiCTR2400087697).

A NEW METHOD FOR DETERMINING THE COMPETITIVE POSITION OF A LIFE INSURANCE COMPANY IN THE INSURANCE SERVICES MARKET

A NEW METHOD FOR DETERMINING THE COMPETITIVE POSITION OF A LIFE INSURANCE COMPANY IN THE INSURANCE SERVICES MARKET

Future of E-Bikes on Public Lands: A Human Factors Field Study at Minute Man National Historical Park

Electric-assist bicycles (e-bikes) are growing in popularity, and their use has increased on public lands managed by federal, state, and local agencies in the United States. Evaluation of e-bike use on public lands is hindered by a dearth of scientific research, as noted in a prior literature review completed by the study team. This paper presents the results of a human factors field study that evaluated participant speed and behavior on an unpaved, multiuse trail to answer research questions about trail user safety and social interaction. The study concludes that e-bike riders travel approximately 1 to 2 mph faster than conventional bike riders on average, but that individuals’ speeds among conventional and e-bike riders are widely distributed and overwhelmingly overlap, including at the upper and lower extremes. The sex of the rider predicts a greater difference in speed than whether they are using a conventional or an e-bike. The study also found conventional and e-bike riders generally reduce speed in areas of potential conflict and exhibit similar precautionary behaviors when passing other trail users and when crossing trail junctions and vehicle paths. Public lands managers can use these results to inform their decisions about managing e-bike use on multiuse trails with similar characteristics.

Training Teachers of Children With Moderate to Significant Support Needs to Contingently Respond to Child-Initiated Social Participation Behaviors During Centers

Teachers of young children with moderate to significant support needs may have insufficient training to implement naturalistic instructional practices such as contingent responding. Naturalistic instructional practices are well researched, but limited studies exist on training teachers to use contingent responses to support children increasing child-initiated social participation behaviors during centers. We used a multiple baseline design across four special education teachers to measure the effects of a training package incorporating behavior skills training (BST) and emailed performance feedback (EPF) on increasing teachers’ contingent responses to children with limited child-initiated social participation behaviors during centers. Results indicate that BST with a checklist and EPF with graphs increased the four teachers’ percentage of contingent responses, and similar levels were observed during maintenance probes. Programming common stimuli during BST resulted in all teachers providing contingent responses to at least one other child in their classroom who had few child-initiated social participation behaviors.

Word association task responses prime associations in subsequent trials.

The word association task has been used extensively in psychological and linguistic research as a way of measuring connections between words in the mental lexicon. Interpretation of word association data has assumed that responses represent the strongest association between cue word and response, but there is evidence that participant behaviour can be affected by task instructions and design. This study investigated whether word association responses can be primed by the participants' own response to the preceding cue-that is, whether the order in which cues are presented alters the responses that are generated. Results showed that the proportion of participants who provide a particular association (e.g., acid-RAIN) is greater when their response to the previous cue in the list is also associated with rain (e.g., parasol-UMBRELLA). The same is not true when the two cues are presented non-consecutively. Word association tasks should be administered such that the order in which cues are presented is random for every participant so as to avoid unintentional contamination of associative strength data.

Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning

Recent advancements in motion planning for Autonomous Vehicles (AVs) show great promise in using expert driver behaviors in non-stationary driving environments. However, learning only through expert drivers needs more generalizability to recover from domain shifts and near-failure scenarios due to the dynamic behavior of traffic participants and weather conditions. A deep Graph-based Prediction and Planning Policy Network (GP3Net) framework is proposed for non-stationary environments that encodes the interactions between traffic participants with contextual information and provides a decision for safe maneuver for AV. A spatio-temporal graph models the interactions between traffic participants for predicting the future trajectories of those participants. The predicted trajectories are utilized to generate a future occupancy map around the AV with uncertainties embedded to anticipate the evolving non-stationary driving environments. Then the contextual information and future occupancy maps are input to the policy network of the GP3Net framework and trained using Proximal Policy Optimization (PPO) algorithm. The proposed GP3Net performance is evaluated on standard CARLA benchmarking scenarios with domain shifts of traffic patterns (urban, highway, and mixed). The results show that the GP3Net outperforms previous state-of-the-art imitation learning-based planning models for different towns. Further, in unseen new weather conditions, GP3Net completes the desired route with fewer traffic infractions. Finally, the results emphasize the advantage of including the prediction module to enhance safety measures in non-stationary environments.

Stimulating customer participation behaviour and boosting value co-creation in hotels

Considering the competitive environment of the hospitality industry in delivering superior value to customers, customer participation in value co-creation with the service provider through interaction becomes pivotal. By bonding the co-creation theory with the equity theory, this study proposes a model for stimulating customer participation behaviour (CPB), which includes customer co-creation perception (CCCP) composing DART activities (dialogue, access, risk assessment, and transparency), CPB, co-production, and value-in-use. The collected data from tourists staying in hotels in Portugal was analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results confirm that CCCP predicts CPB, co-production, and value-in-use. Moreover, CPB improves co-production and value-in-use and mediates the associations between CCCP and co-production/value-in-use. This research contributes to co-creation theory by confirming CCCP as a driver of CPB and provides practical implications to enhance co-production and value-in-use in hotels.

How does the landscape uniformity in different forest landscapes affect the visual behavior and preference evaluation intention of participants—a case study of forest landscape in northern China (Liaoning)

BackgroundHigh-quality in-forest landscapes are very important when landscape designers and foresters are planning and managing forest landscape resources. Understanding people’s visual behavior toward in-forest landscapes plays an important role in creating high-quality in-forest landscapes.MethodsPeople’s visual information about in-forest landscapes with different landscape uniformity (IFLDLU) was visualized and digitized by eye-tracking technology and virtual reality method of picture, and the data were statistically analyzed by MANOVA, one-way ANOVA, Spearman’s rho correlation analysis, and linear regression in SPSS.PurposeThis study aimed to discuss the influence of landscape uniformity on people’s visual behavior, satisfaction preference, and re-viewing intention, and to reveal the main reasons for the spatial cognitive characteristics of in-forest scenes that arouse their visual attention and re-viewing intention.Main results(1) The landscape uniformity of the in-forest landscape (IFL) affects people’s observation mode; (2) People’s visual attention differs across in-forest landscape uniformity, as mainly reflected in visual span and pupil diameter; (3) Overall, people prefer a cluster distribution of in-forest landscapes, for which they have higher re-viewing intentions; (4) Spatial cognitive characteristics that arouse participants’ visual behavior, satisfaction preference, and re-viewing intention vary with the landscape uniformity of in-forest landscapes. Among them, many spatial cognitive characteristics should be optimized in random distribution for IFL, arousing higher satisfaction preference and re-viewing intention. Therefore, when planning, designing, and managing in-forest landscapes, we suggest that spatial cognitive characteristics should be improved and optimized based on the landscape uniformity of the IFL to arouse participants’ positive visual attention, enhance their place identity, make them “reluctant to bid farewell,” and further arouse their place attachment.

Economic and legal responsibility for anti-competitive collected actions in the form of correction of the results of tender, bids, auctions, competitions as a manifestation of collected behavior of procurement participants

The article is devoted to consideration of the issue of coordinated behavior of participants and customers of public procurement. The need to observe the principles of competition in the public procurement procedure is substantiated. The key point in conducting procurement is compliance with the conditions of competitive selection of the procurement winner, elimination of the possibility of victory of the "necessary” participants and overcoming corruption and speculation. Regulation of public procurement mechanisms is a combination of economic and legal and administrative legal aspects. Relations that arise in the process of procurement have different aspects of legal regulation, as well as the subjects of offenses in this area can be both business entities and bodies of state power, local self-government, management and control. It has been proven that public procurement involves a competitive selection of the winner, in compliance with all other procurement principles stipulated by the Law of Ukraine "On Public Procurement”. It was emphasized that the main purpose of the Law "On Public Procurement” is to ensure effective and transparent procurement, create a competitive environment in the field of public procurement, prevent corruption and develop fair competition. Public institutions must make purchases in accordance with special requirements of confidentiality and security, as well as taking into account national interests. It is argued that today the field of public procurement is quite corrupt, and many cases of violations of the main basic principles of the Law have been recorded, which leads to the distortion of the results of tenders, trades, and auctions. Distortion occurs due to the concerted behavior of procurement participants, or participants and customers. That is, concerted actions can be vertical and horizontal, mixed and conglomerate actions can also take place. Any concerted behavior during public procurement violates the terms of competition, is prohibited and entails liability in accordance with the legislation of Ukraine. The article emphasizes that proving collusion in procurement and actually bringing violators to justice is a complex issue that requires improvement both from the point of view of theoretical points and procedural aspects. Of course, the state is interested in ensuring transparent implementation of public procurement, and this can be achieved thanks to the introduction of a clear mechanism to overcome the corruption component. It is argued that regulation and control by state bodies play an important role in this institute. The state acts as a special customer, which is an expression of public interests. The use of such a legal instrument as public procurement of goods, works and services gives the state the right to choose business entities that will fulfill the state order on the most favorable market terms, on the basis of compliance with the terms of competition. Unfortunately, it is not always possible to observe honest and fair procurement.
 Attention was drawn to the fact that overcoming a large number of conspiracies in the field of public procurement and ensuring compliance with the principles of fair competition during procurement is one of the tasks of the Antimonopoly Committee of Ukraine, as a public procurement appeals body. However, issues of combating and implementing effective mechanisms to prevent the occurrence of collusion between public procurement entities and, as a consequence, procedural aspects regarding appeals and prosecution of offenders for concerted actions that led to the distortion of the results of tenders (tenders) remain problematic.