Individual Monitoring Research Articles

150 Effects of diet type on performance and methane yield in replacement beef heifers

Abstract The objective of this experiment was to determine the relationships among enteric gas production, body weight (BW) gain, and feed intake for growing heifers consuming two energy divergent diets. Fifty-five fall born yearling Angus and Angus cross heifers were used in a 157-d experiment. Heifers were fed two consecutive diets at the Oklahoma State University Range Cow Research Center. Heifers were sorted into one of two drylot pens based on BW. Each drylot pen was equipped with individual intake monitoring system (C-Lock Inc., Rapid City, SD) with a stocking rate of 3.3 heifers per feeder. The first intake segment (HAY) was initiated with a 21 d of adaptation followed by 70 d of data collection. Heifers were offered ad libitum access to long stem unprocessed bermudagrass hay and a salt/mineral/vitamin supplement. After the HAY period, heifers were adapted to a 50% forage, 50% concentrate diet (TMR) during a 14-d adaptation period, followed by 52-d of data collection. Means and standard deviations for phenotypic traits of DMI, ADG, RFI, and CH4 were 6.7 ± 0.7 kg, 0.44 ± 0.13kg, and 194.6 ± 17.56 g/d respectively for HAY and 14.3 ± 1.34 kg, 1.72 ± 0.20 kg, and 280 ± 24.69 g/d respectively for TMR. Pearson correlations between diets for DMI, ADG, and CH4 were 0.32, -0.16, and 0.29, respectively. Coefficient of variation for DMI was 10.8% for HAY and 9.4% for TMR. Coefficient of variation for ADG was 29.9% for HAY and 11.6% for TMR. Methane intensity was calculated as CH4, g/day divided by DMI, kg/d resulting in 29.6 ± 3.5 and 19.9 ± 2.2 g CH4/kg DMI for HAY and TMR, respectively. In summary, HAY DMI was moderately and positively correlated with TMR DMI while ADG was not correlated among the two diet types. The HAY diet generated less total daily CH4, although more CH4 per unit of feed intake.

90 Interconnecting feed efficiency with molecular mechanisms of muscle growth in beef steers

Abstract Feed efficiency is an important factor for improving the sustainability and economic value of beef production. Although feed efficiency is moderately heritable, it is a complex trait affected by numerous factors such as diet, the rumen microbiome, and energy metabolism. Recent work has examined the molecular control of cattle divergent in feed efficiency; however, limited work has focused on the transcriptomic regulation of variation in feed efficiency, specifically, the genes contributing to muscle growth and the variation in feed efficiency in beef production. The hypothesis of this study was that cattle with greater feed efficiency will have increased expression of genes that promote muscle growth and energy metabolism. A total of 100 Angus steers weighing approximately 400 kg were enrolled in 70 d feed efficiency trials to determine residual feed intake (RFI) using the Vytelle GrowSafe 8000 individual feed intake monitoring system. At mid-test, 500-mg of muscle tissue was collected from the wing of the ileum between the axis and transverse processes of the lumbar vertebrae and was punched with a biopsy probe tool. The collected biopsy samples were flash frozen in liquid nitrogen for storage until processing. RNA was extracted and 3’ RNA sequencing was conducted on the Novaseq 6000 to determine the differential skeletal muscle transcriptomes of steers differing in RFI. Differential expression analysis was performed with the DESeq2 R package. To determine connections between the differentially expressed genes identified via transcriptional profiling and RFI, gene expression results were examined for correlations. To visualize the correlation matrices, the Corrplot package in R (version 3.4) was utilized. Varying numbers of differentially expressed gene transcripts were detected between steers divergent in RFI (P < 0.05), and were identified with significant correlations to RFI (P < 0.05). Specifically, the genes identified were related to muscle growth and energy metabolism. These results further define the molecular control of muscle growth with regard to RFI, and the opportunity to improve feed efficiency and muscle growth while meeting the needs for food production and sustainability for the growing population.

Investigating the impact of new dosimetric quantities recommended by ICRU 95 on the OSLD individual monitoring system at OAP, Thailand

This research investigates the effects of new definitions of operational dosimetric quantities, especially H p(10) to Hp recommended by ICRU Report 95, on the dosimetry system. This paper focuses on the responses of two dosimeter types, nanoDot® and InLight®, using conversional coefficients from ICRU report 57 and ICRU report 95 conversion coefficients. The dosimeters were irradiated with various beam qualities, and their responses were compared to the acceptant limits provided by the IEC 62387. The results demonstrate higher responses at new definitions recommended by ICRU report 95, indicating the need for algorithm modifications in the dose calculation.

LMS MOODLE ЯК ЗАСІБ ОРГАНІЗАЦІЇ СЕРЕДОВИЩА ЗДОБУТТЯ ПЕДАГОГАМИ ПІСЛЯДИПЛОМНОЇ ОСВІТИ

The article addresses issues related to the effective organization of the educational process in postgraduate pedagogical institutions through the use Information and Communication Technologies (ICT), specifically exemplified by LMS Moodle. The possibilities LMS for creating a learning environment that meets the requirements of high-quality postgraduate education for educators are demonstrated. The authors elucidate the role of postgraduate pedagogical education amidst the contemporary transformations of Ukrainian society, emphasizing the necessity for additional knowledge and experience in ICT utilization among educators. Postgraduate education courses facilitate the integration of professional and educational activities of educators, aiming to foster their abilities for self-organization, self-development, and independent acquisition of constantly evolving information, enabling them quickly adapt to changes in the socio-economic environment. The substantial flow of information necessitates additional knowledge and experience in using information and communication technologies by educators, thereby imposing new demands on the organization of postgraduate education for teachers. The authors proved that the effective solution to the personalization task in postgraduate education is possible only through the integration of teaching technologies and information and communication technologies. Modern learning management systems have a powerful arsenal of tools for implementing innovative teaching models. This paper analyzes the capabilities of LMS Moodle in terms of course administration, personalized learning, organizing group and individual interactions (Forum, Chat, Choice, Workshop, Wiki, MindMap), monitoring, and analytics of the educational trajectory of each student. Construction of branched course structures (Lesson element), the organization of problem-oriented content with elements of group processing, tracking the interests of each learner through the selection of educational information blocks and feedback (Lesson elements, Assignment, Feedback, Survey), operational monitoring of knowledge quality (Lesson elements, Quiz, Choice), and the organization of the educational process using the flipped classroom model are analyzed. According to the authors, future research prospects may involve the development of new tools to support the learning process in LMS Moodle, particularly related to addressing the complexity of questions to ensure the objectivity of assessing learners' knowledge.

КЛИНИЧЕСКИЕ ОСОБЕННОСТИ И ДИНАМИКА АРТЕРИАЛЬНОГО ДАВЛЕНИЯ У ДЕТЕЙ В ВОЗРАСТЕ 6 МЕСЯЦЕВ, РОЖДЕННЫХ В СРОКЕ СВЕРХРАННИХ ПРЕЖДЕВРЕМЕННОГО РОДОВ.

Children born at the time of early preterm labor (SPR) are a group with a high risk of developing cardiovascular diseases, including arterial hypertension, which can occur throughout their lives. Currently, the issues of diagnosis of high blood pressure in this category of children are relevant. Our aim of the study is to identify the clinical features and features of changes in the dynamics of blood pressure in children aged 6 months born at the time of early preterm labor. At 6 months of age, children born at the time of early preterm labor have low indicators of physical development, manifestations of vegetative-vascular dysfunction, cardiac arrhythmias, high blood pressure. High normal blood pressure was registered in 16.7% of subgroup 1 and 29.2% of subgroup 2, 13.6% in children of the comparison group (p1-2=0.001; p1-3=0.001; p2-3=0.004). Arterial hypertension was diagnosed only in the main group: 41.7% of children of subgroup 1, and 29.2% in subgroup 2 (p1-2=0.001; p1-3=0.001; p2-3=0.004). The results of laboratory data showed a statistically significant increase in the level of renin and angiotensin II in venous blood in children of the main group than in children of the comparison group. The highest levels of renin and angiotensin II were found in children weighing 500-750g. Children born in the period of early preterm labor require monthly monitoring of blood pressure levels and the development of individual dynamic monitoring programs.

Individual self-regulation, external monitoring, and farmers’ safe production behavior: Evidence from the Kuan-chung Plain, China

Sustainable agricultural development requires comprehending the fundamental factors influencing farmers' adoption of safe production behavior. This study investigates intrinsic and extrinsic determinants, encompassing the influence of individual self-regulation and external monitoring, regarding the endorsement of safe labor practices among farmers in Kuan-Chung Plain, China. The findings underscore the pivotal role of personal self-regulation in stimulating farmers' implementation of safe production behavior. Additionally, governmental and public monitoring can act as catalysts, motivating farmers to shift from conventional agricultural production methods to safer alternatives. Moreover, the results revealed that a synergistic effect arises from the collaboration between public and governmental monitoring, combined with individual self-regulation. This collaborative approach significantly enhances farmers' propensity to embrace safe production behavior. Hence, policymakers should prioritize educating farmers on ethical restraint, optimizing policy strategies, and strengthening supervision practices to establish an effective platform for public monitoring. These measures will augment farmers' comprehension of the significance of safe production behavior and empower them to proactively implement these behaviors.

The Variability of the Components of Fitness along the Menstrual Cycle.

This study aims to determine the variability of the components of fitness along the menstrual cycle (MC) of physically active eumenorrheic women. Fifteen subjects were monitored along two consecutive MCs through the calendar-based counting method in combination with a urine luteinizing hormone surge kit. Subjects were tested at the early follicular phase (EFP), pre-ovulatory or late follicular phase (LFP), and post-ovulatory or mid-luteal phase (MLP). In each session, the back squat one-repetition maximum (1-RM), maximum fat oxidation (MFO), maximum oxygen uptake (VO2max) and acute recovery capacity were determined. The results revealed a wide variability among components of fitness and a low to high variability among subjects (acute recovery: 3.6% [range 1.5 to 9.5%]; back squat 1-RM: 6.1% [range 2.2 to 11%]; VO2max: 6.6% [range 1.1 to 15%]; MFO: 23% [range 4.6 to 35%]). Despite the individual nature, considering the number and magnitude of the responses in each MC phase, VO2max and acute recovery capacity tended to be enhanced at the LFP, the MFO at the MLP, and the back squat 1-RM remained stable along the MC. Thus, practitioners are aware of which components are susceptible to change along the MC phase, but an individual monitoring is recommended.

Analysis of Patient Health Using Arduino and Monitoring System

The proposed project is a health monitoring system using Arduino that measures key health parameters such as heart rate, blood oxygen level, and body temperature. The system consists of sensors such as DHT11 for temperature, MAX30100 for heart rate and blood oxygen level, and an Arduino Nano for processing the data. The measured results are displayed on an LCD screen and a buzzer sounds when the results are ready. The system has been designed with simplicity and ease-of-use in mind, making it accessible for personal use. While the system has limitations such as sensor accuracy and lack of IoT functionality, it still has potential for improving individual health monitoring and wellness. In the future, potential areas for development include the inclusion of more sensors, IoT functionality, and machine learning algorithms for personalized insights and recommendations. Overall, the proposed health monitoring system is a promising step towards empowering individuals to take a more active role in monitoring their health and wellness.

Decontamination of equipment with oil and gas NORM: the need for internal individual monitoring

In the oil field, Naturally Occurring Radioactive Material - NORM is present in petroleum-forming rocks and this is related to the presence of radioactive decay series of 238U and 232Th, mainly the daughter radionuclides 226Ra and 228Ra. These radionuclides are detected during the process of production and extraction of oil and gas. They migrate from the reservoir rock and flow through the production lines until the operating areas, forming sludge and scale. The presence of 226Ra and 228Ra can be found in many pieces of equipment on the platforms, and NORM concentrations may increase due to different extraction processes. When this accumulation of NORM occurs inside the equipment, it is necessary to decontaminate them. Depending on the decontamination technique, workers can be exposed to radioactive materials contained in sludge and scale, which are released in the form of aerosols. The existing radiological risk during decontamination is based on external irradiation and internal contamination of workers, this is why an individual monitoring program covering both external and internal dosimetry is necessary. External monitoring is widely used during the routine work of decontamination of equipment, but for internal monitoring, the real importance has not been given, despite the probability of being the greatest contribution to radiological risk for workers. This article presents the need for internal individual monitoring for a comprehensive assessment of radiological risk and a general description of how it is being done in several countries to assist in the implementation of a complete individual monitoring program, mainly in Brazil.

Developing predictive precision medicine models by exploiting real-world data using machine learning methods

Computational Medicine encompasses the application of Statistical Machine Learning and Artificial Intelligence methods on several traditional medical approaches, including biochemical testing which is extremely valuable both for early disease prognosis and long-term individual monitoring, as it can provide important information about a person's health status. However, using Statistical Machine Learning and Artificial Intelligence algorithms to analyze biochemical test data from Electronic Health Records requires several preparatory steps, such as data manipulation and standardization. This study presents a novel approach for utilizing Electronic Health Records from large, real-world databases to develop predictive precision medicine models by exploiting Artificial Intelligence. Furthermore, to demonstrate the effectiveness of this approach, we compare the performance of various traditional Statistical Machine Learning and Deep Learning algorithms in predicting individuals' future biochemical test outcomes. Specifically, using data from a large real-world database, we exploit a longitudinal format of the data in order to predict the future values of 15 biochemical tests and identify individuals at high risk. The proposed approach and the extensive model comparison contribute to the personalized approach that modern medicine aims to achieve.

Development of a Novel CD8+ T Cell-Associated Signature for Prognostic Assessment in Hepatocellular Carcinoma.

The aim of this study was to analyze the clinical significance and prognostic value of CD8+ T cell-related regulatory genes in hepatocellular carcinoma (HCC). This was a retrospective study. We combined TCGA-LIHC and single-cell RNA sequencing data for Lasso-Cox regression analysis to screen for CD8+ T cell-associated genes to construct a novel signature. The expression of the signature genes was detected at cellular and tissue levels using qRT-PCR, immunohistochemistry, and tissue microarrays. The CIBERSORT algorithm was then used to assess the immune microenvironmental differences between the different risk groups and a drug sensitivity analysis was performed to screen for potential HCC therapeutic agents. An 8-gene CD8 + T cell-associated signature (FABP5, GZMH, ANXA2, KLRB1, CD7, IL7R, BATF, and RGS2) was constructed. Survival analysis showed that high-risk patients had a poorer prognosis in all cohorts. Tumor immune microenvironment analysis revealed 22 immune cell types that differed significantly between patients in different risk groups, with patients in the low-risk group having an immune system that was more active in terms of immune function. Patients in the high-risk group were more prone to immune escape and had a poorer response to immunotherapy, and AZD7762 was screened as the most sensitive drug in the high-risk group. Finally, preliminary experiments have shown that BATF has a promoting effect on the proliferation, migration and invasion of HuH-7 cells. The CD8+ T-cell-associated signature is expected to be a tool for optimizing individual patient decision-making and monitoring protocols, and to provide new ideas for treatment and prognostic assessment of HCC.

Modern methodological approach to the assessment of the individual quality of life of HIV-infected patients

Introduction. The study of the quality of life (QOL) of HIV-infected patients in the system of personalized and specialized pharmaceutical care is a fundamentally new method that allows us to study the multidimensional picture of the patient's subjective experiences caused by the disease. Integral information about the physical, psychological, spiritual and social aspects of the disease makes it possible to identify individual characteristics of the patient's reaction to the disease, evaluate the effectiveness of treatment in a particular patient according to individual monitoring data and use these data to correct the treatment and prevention program. Objective: development of modern methodological approaches to assessing the individual quality of life of HIV–infected patients to determine the effectiveness of treatment of a particular patient with subsequent correction of the therapy and prevention program. Material and methods. The object of the study is HIV-infected patients undergoing treatment at the State Medical Institution “Kuzbass Center for Prevention and Control of AIDS” (n=250). The QL research methodology includes key components: selection of a research tool; collection and formation of a database; scaling of questionnaire data; statistical processing of collected information; analysis and interpretation of results. Results. A modern modified method for assessing the individual quality of life of HIV-infected patients based on the use of relationship type indices has been developed. Each indicator represents the ratio of satisfaction with a certain aspect of life to the corresponding level of psychological claims. The sum of the index values is an indicator of quality of life. Conclusion. A modified widely used method has been developed to assess the individual quality of life of HIV–infected patients in the system of specialized pharmaceutical care to determine the effectiveness of treatment of a particular patient with subsequent correction of the therapy and prevention program. It has been established that one of the main factors determining the quality of life of HIV–infected patients is a subjective assessment of health, which proves the importance of assessing quality of life as an integral indicator closely related to health.

Smart Body Posture Recognition and Guiding System

In an era prioritizing health and wellness, the integration of the Smart Body Posture Recognition & Guiding System into self- service health kiosks signifies a paradigm shift in healthcare management. This groundbreaking research project leverages cutting-edge MediaPipe Body Tracking technology to revolutionize health monitoring capabilities. At its core, MediaPipe Body Tracking enables precise real-time identification and tracking of human body key points and movements. This breakthrough technology ensures unparalleled accuracy in health parameter measurements within the kiosk interface. A standout feature of this system is its embedded alert mechanism, surpassing conventional health monitoring by actively detecting and notifying individuals about poor body posture. Providing immediate corrective feedback, this feature significantly impacts wellness, fostering a proactive approach to posture and overall health management. This research delves into the intricacies of MediaPipe Body Tracking's algorithms and sensors, elucidating the technology's real-time feedback mechanism. The system's ability to address poor posture not only prompts immediate corrective action but also raises awareness about its long-term health implications. Beyond individual health monitoring, this innovation promises a transformative shift in healthcare paradigms, encouraging proactive health measures and empowering individuals to take charge of their well-being. The Smart Body Posture Recognition & Guiding System represents a significant advancement at the nexus of technology and healthcare, redefining how societies approach proactive health management. Keywords- MediaPipe, Posture Recognition, Heathcare

Individual Tree-Level Monitoring of Pest Infestation Combining Airborne Thermal Imagery and Light Detection and Ranging

The infestation of pine shoot beetles (Tomicus spp.) in the forests of Southwestern China has inflicted serious ecological damages to the environment, causing significant economic losses. Therefore, accurate and practical approaches to detect pest infestation have become an urgent necessity to mitigate these harmful consequences. In this study, we explored the efficiency of thermal infrared (TIR) technology in capturing changes in canopy surface temperature (CST) and monitoring forest health at the scale of individual tree crowns. We combined data collected from TIR imagery and light detection and ranging (LiDAR) using unmanned airborne vehicles (UAVs) to estimate the shoot damage ratio (SDR), which is a representative parameter of the damage degree caused by forest infestation. We compared multiple machine learning methods for data analysis, including random forest (RF), partial least squares regression (PLSR), and support vector machine (SVM), to determine the optimal regression model for assessing SDR at the crown scale. Our findings showed that a combination of LiDAR metrics and CST presents the highest accuracy in estimating SDR using the RF model (R2 = 0.7914, RMSE = 15.5685). Our method enables the accurate remote monitoring of forest health and is expected to provide a novel approach for controlling pest infestation, minimizing the associated damages caused.

Multiplexed multicolor antiviral assay amenable for high-throughput research

To curb viral epidemics and pandemics, antiviral drugs are needed with activity against entire genera or families of viruses. Here, we develop a cell-based multiplex antiviral assay for high-throughput screening against multiple viruses at once, as demonstrated by using three distantly related orthoflaviviruses: dengue, Japanese encephalitis and yellow fever virus. Each virus is tagged with a distinct fluorescent protein, enabling individual monitoring in cell culture through high-content imaging. Specific antisera and small-molecule inhibitors are employed to validate that multiplexing approach yields comparable inhibition profiles to single-virus infection assays. To facilitate downstream analysis, a kernel is developed to deconvolute and reduce the multidimensional quantitative data to three cartesian coordinates. The methodology is applicable to viruses from different families as exemplified by co-infections with chikungunya, parainfluenza and Bunyamwera viruses. The multiplex approach is expected to facilitate the discovery of broader-spectrum antivirals, as shown in a pilot screen of approximately 1200 drug-like small-molecules.

Over Fences and Into Yards: Privacy Threats and Concerns of Commercial Satellites

Commercial satellite imaging is used for diverse applications in a wide range of sectors, from agriculture to the military. As satellite images continue to become more widely available and detailed in resolution, the potential for individual and population-level monitoring increases and raises new privacy concerns compared to previous Earth observation technologies. We anticipate that these technologies will only continue to improve in the upcoming decade. To better understand privacy threats and concerns of commercial satellite imagery, we conducted a survey of 99 participants from the United States. We found that most respondents were not aware that commercial satellites existed, and once informed about the capabilities of commercial satellites, most are not comfortable with how good the current state-of-the-art satellite imaging capabilities are. Few respondents want satellite imagery cost-free and widely available, which conflicts with current trends in geospatial data. In addition to aiding our understanding of the public's current perception and relationship with remote sensing technologies, we use these results to propose possible new satellite image legislation, regulation, and technological mitigations, both nationally and internationally.

Development and applications of an integrated space-air-ground observation network in natural resource monitoring and supervision

Timely and accurate monitoring is a prerequisite to survey the types, quantities, quality, and distribution of various natural resources. Currently, satellite remote sensing is the major observation method, which has advantages in observation scale, fast speed, and low cost. However, with the increasingly precise management of natural resource, satellite remote sensing faces some shortcomings in observation timeliness, dynamism, and accuracy. To solve these problems, combining space-based, air-based, and ground-based observation technologies can offer an effective approach by taking the advantages of each technology. This study focuses on development and applications of an integrated space-air-ground observation network to avoid the insufficiencies of individual monitoring method in natural resource monitoring and supervision. In this paper, we combined satellite remote sensing, drone photography, video surveillance, and field survey to establish an integrated space-air-ground observation network, proposed a cooperative observation mechanism in observation task, scale, and time. Then monitoring indicators and supervision process was established via indicator library and workflow engine, realizing closed-loop management of “discovery, analysis, verification, disposal, and cancellation” for natural resource monitoring and supervision. Afterward, by connecting the observation network and following the closed-loop management process, a cross terminal software was designed and developed to achieve process automation of natural resource monitoring and supervision. Finally, the observation network and software was put into practice, and the results indicate that the integrated space-air-ground observation network can effectively improve the efficiency and accuracy of natural resource of monitoring and supervision.

Personalized control in foreign language learning

The article considers personalized control as the basis for an individual development trajectory, an individual plan for improving foreign language communication skills. The tool for its implementation is individual success monitoring in foreign language learning followed by the analysis of test results with the participation of the teacher as a consultant, which makes it possible to identify the ways of overcoming existing problems in mastering a foreign language. The article analyzes the results of monitoring, conducted among students at the Institute of Philology and Intercultural Communication (Kazan Federal University), and concludes that further work should be done to determine the individual path of each student in eradicating their weak points. The decision-making remains with the students themselves; however, additional courses in the development of receptive skills may become a motivating factor, when the period of pseudo-passivity actually lays the foundation for improving communicative competence through the involuntary acquisition of foreign language vocabulary and grammar. Success in listening or reading comprehension, based on authentic texts, inspires confidence in further improvement of communicative competence and allows, through self-analysis and self-assessment, determining guidelines for each student’s progress in learning a foreign language.

Husbandry conditions of spotted ratfish (Hydrolagus colliei, Chimaeriformes) in aquaria for successful embryonic development and long-term survival of juveniles.

The spotted ratfish Hydrolagus colliei is the most common holocephalan species exhibited in aquaria worldwide for introducing deep-sea environments and raising awareness of their conservation. However, little is known about the biology of H. colliei. Current practices in aquaria allow long-term survival of sexually mature H. colliei specimens; however, this species struggles to complete a reproductive cycle in captivity mostly because embryos do not reach the hatchling stage. The aquarists of Planet Ocean Montpellier (POM, France) have bred H. colliei for 15 years and recorded parameters suitable for this species' successful embryonic and post-embryonic development. POM aquarists now regularly record egg-laying events of H. colliei and use four tanks to incubate eggs and raise neonates, late hatchlings, early and intermediate juveniles, subadults, and sexually mature specimens. In this work we provide the first long-term biometric data on H. colliei from the hatchling to the subadult stage. We also report the biotic and abiotic parameters sufficient to breed H. colliei in aquaria. We finally describe the methods used to facilitate individual monitoring of specimens along the ontogeny and several pathologies identified in this species, their putative causes, and the corresponding treatments. This work highlights the importance of ex situ research and points to the valuable outcomes of collaborative efforts between aquaria and academia in deciphering the biology of species whose study in the wild remains challenging.

Comparison of effective doses for personnel performing flaw detection in stationary conditions and <i>in situ</i>

Official data on radiation doses for flaw detectors do not take into account working conditions. In the reporting forms, there is no division between personnel performing flaw detection in stationary conditions and in situ, which roughly averages the values of effective doses towards underestimating the values for personnel working in site radiography. In this work, comparison of our own data on radiation doses of flaw detectors was performed. It has been shown that the difference in the mean and median values of effective doses reaches 10 times. When performing flaw detection in stationary conditions, the personnel are at a sufficient distance from the source of ionizing radiation and are well shielded by engineering protective equipment, so the exposure is fairly uniform. In such cases, one individual thermoluminescent dosimeter located at chest level is sufficient to estimate the effective dose. The average annual effective dose for personnel conducting flaw detection in stationary conditions is 0.87 mSv (median – 0.88 mSv, maximum value – 0.99 mSv). During individual radiation monitoring of personnel performing flaw detection in situ using portable roentgen flaw detectors, cases of neglect in the use of individual dosimeters were identified, which requires more stringent measures to comply with existing requirements for ensuring radiation safety and operating rules for individual dosimeters. The average annual effective dose for flaw detectors working with portable roentgen flaw detectors is 9.03 mSv (median – 8.85 mSv, maximum value – 12.37 mSv).