Evaluation Of Resources Research Articles

An Expert Evaluation of Oncology Website Resources for Use in Pediatric Oncology Clinical Nursing Education in Low-Resource Settings.

Background: Online healthcare information is often used by pediatric oncology nurse educators in low- and middle-income countries (LMICs) for teaching clinical nurses as part of their initial orientation or continuing education. Access to peer-reviewed nursing journals via paid subscriptions or sub-specialty nursing textbooks in these settings is rare. This project identified and evaluated websites appropriate for pediatric oncology nurse educators in LMICs for teaching staff nurses, and for clinical staff nurses engaging in self-directed learning. Method: A strategic Google search for childhood cancer websites and an appropriate scoring tool was conducted. The Currency, Relevance, Authority, Accuracy, and Purpose Test, along with a previously published scoring rubric that was further adapted by the authors for pediatric oncology were used. Pediatric content, language options, and reading levels were appraised. Results: Of 86 identified websites, 51 met the inclusion criteria for evaluation. Websites were classified as highly recommended (n = 36), recommended (n = 12), or not recommended (n = 3) based on scores (range 14-30; maximum possible score = 30). Half offered content in multiple languages. Most websites were 9-10th-grade reading level. Discussion: Childhood cancer information appropriate for clinical nurse orientation and self-directed learning by LMIC nurses is available on free websites. Some information (diagnosis, chemotherapy, psychosocial support) is repeated across websites, while some is lacking (pediatric cancer genetics and health equity disparities). Reading levels are higher than recommended for health literacy. The reviewed websites were rarely peer-reviewed, inconsistently updated, and generally self-regulated. However, 48 websites on childhood cancer were deemed appropriate pediatric oncology clinical nursing education resources.

Dendritic Growth Patterns in Rocks: Inverting the Driving and Triggering Mechanisms

AbstractMineral precipitation can form complex patterns under non‐equilibrium conditions, in which two representative patterns are rhythmic Liesegang stripes and fractal dendrites. Interestingly, both patterns occur in the same rock formations, including various dendritic morphologies found in different rocks, such as limestone and sandstone. However, the underlying mechanism for selecting the vastly different mineral precipitation patterns remains unclear. We use a phase‐field model to reveal the mechanisms driving pattern selection in mineral precipitation. Simulations allow us to explore the effects of diffusion parameters on determining the dendritic morphologies. We also propose a general criterion to distinguish the resulting dendrites in simulations and field observations based on a qualitative visual distinction into three categories and a quantitative fractal dimension (FD) phase diagram. Using this model, we reproduce the classified dendrites in the field and invert for the key parameters that reflect the intrinsic material properties and geological environments. This study provides a quantitative tool for identifying the morphology selection mechanism with potential applications to geological field studies, exploration for resource evaluation, and other potential industrial applications.

Special Issue “Recent Advances in Genomics, Genetic Resources Evaluation and Breeding of Cucurbitaceae Crops”

Recent progress in plant genomic technologies has amounted to a revolution, making a huge set of molecular tools available for use in plant breeding [...]

Evaluation of Potential Organic Resources as Low Carbon-Emitting Soil Amendment in a Red Pepper Cultivated Soil

Evaluation of Potential Organic Resources as Low Carbon-Emitting Soil Amendment in a Red Pepper Cultivated Soil

Improving the technology for processing the aggregated data flow of a secure corporate multiservice communication network

This paper considers the process of dynamic reservation of the channel resource of a secure corporate multi-service communication network. It has been established that the processes of building and functioning of the schemes of a secure corporate multi-service communication network and improving the quality of the implementation of its main work processes involve the evaluation and dynamic reservation of channel resources for incoming aggregated data flows of the network. The model of dynamic reservation of the channel resource of the aggregated data stream of the secure corporate multi-service communication network was built and proposed. The proposed model makes it possible to set the quantitative values of the reserved channel resource for different service methods depending on the number of component flows in the total aggregated data flow of the VPN tunnel. It was established that an increase in the density of the aggregated data stream requires an increase in the reserved channel resource. At the same time, its value is influenced by the way of servicing the aggregated data flow in the VPN tunnel of the secure corporate multi-service communication network. Application of the isolated service method gives a gain in the allocated resource for the channel reserve from 10 to 20 percent compared to the group service method for IR and video telephony. This is due to the more flexible management process of the border router's incoming data storage buffer under the isolated service mode. The model of dynamic reservation of the channel resource of the secure corporate multi-service communication network reported in this paper could be used in the improvement of existing and development of new structures of the secure corporate multi-service communication network. The consequence of such an improvement is a reduction in the delay time for the processing of incoming data packets in the specified network

Analisis Kinerja Karyawan pada Hana Bank Gatot Subroto Jakarta

Performance appraisal is needed by every business organization to determine the results or level of success of employees. Through performance appraisal, the results can be used for purposes including human resource decisions, evaluation, and feedback. Positive feedback will show that employees feel valued from their work and can tell what things need to be improved from them so that employees will improve their performance, the purpose of this research is to find out how employees work at Hana Bank, this research uses the method model qualitative approach with descriptive analysis techniques, employee performance at Hana Bank Gatot Subroto Jakarta still has obstacles in maximizing employee performance such as: Absences, employee absences at Hana Bank Gatot Subroto Jakarta still show a bad percentage, this greatly affects the performance and discipline of employees in carrying out duties and responsibilities, then problems in communication that result in non-delivery of accepted job duties and responsibilities. There are findings that the work quality of Hana Bank Gatot Subroto Jakarta employees is very good, where Hana Bank Gatot Subroto Jakarta always improves good facilities to increase and maintain employee satisfaction and quality to improve employee performance.

Evolution of Hydrological Conditions and Driving Factors Analysis of the Yongding River in a Changing Environment: A Case Study of the Xiangshuipu Section

Hydrological conditions are key factors in the evaluation of water resources and ecosystems. The Yongding River Basin has many irrigated areas, and excessive agricultural water consumption has led to serious water shortages and ecosystem damage. To investigate the evolution of ecohydrological conditions and their driving factors in the Yongding River basin in a changing environment, this study combines indicators of hydrologic alteration with the range of variability approach (IHA-RVA) to identify the most ecologically relevant hydrological indicators (ERHIs) and to determine the periods of hydrological variability in the basin, using the Xiangshuipu section on the Yang River as the study area. By calculating the degree of hydrological alteration, the evolutionary pattern of ecohydrological conditions in the basin was analyzed, and the WetSpa model was used to quantitatively identify the contributions of climate change, reservoir storage, and irrigation water withdrawal to the alteration of hydrological conditions. The results showed that the rise and fall rate; maximum and minimum 1 day flows; dates of maximum flow; and July flows were the most ecologically relevant hydrological indicators for the Xiangshuipu section. Variability of this section occurred between 1982 and 1988; except for the annual maximum 1 day flows and fall rate, which underwent moderate changes; all other indicators exhibited small changes and the overall hydrological alteration of the Xiangshuipu section was low. The most influential change in the hydrological conditions was irrigation water withdrawal (from specific irrigation); followed by climate change and reservoir storage. The results of this study provide an important basis for water resources utilization and ecological management in the Yongding River basin.

Groundwater Level Prediction with Deep Learning Methods

The development of civilization and the preservation of environmental ecosystems are strongly dependent on water resources. Typically, an insufficient supply of surface water resources for domestic, industrial, and agricultural needs is supplemented with groundwater resources. However, groundwater is a natural resource that must accumulate over many years and cannot be recovered after a short period of recharge. Therefore, the long-term management of groundwater resources is an important issue for sustainable development. The accurate prediction of groundwater levels is the first step in evaluating total water resources and their allocation. However, in the process of data collection, data may be lost due to various factors. Filling in missing data is a main problem that any research field must address. It is well known that to maintain data integrity, one effective approach is missing value imputation (MVI). In addition, it has been demonstrated that machine learning may be a better tool. Therefore, the main purpose of this study was to utilize a generative adversarial network (GAN) that consists of a generative model and a discriminative model for imputation. Although the GAN could not capture the groundwater level endpoints in every section, the overall simulation performance was still excellent to some extent. Our results show that the GAN can improve the accuracy of water resource evaluations. In the current study, two interdisciplinary deep learning methods, univariate and Seq2val (sequence-to-value), were used for groundwater level estimation. In addition to addressing the significance of the parameter conditions, the advantages and disadvantages of these two models in hydrological simulations were also discussed and compared. Regarding parameter selection, the simulation results for univariate analysis were better than those for Seq2val analysis. Finally, univariate was employed to examine the limits of the models in long-term water level simulations. Our results suggest that the accuracy of CNNs is better, while LSTM is better for the simulation of multistep prediction. Therefore, the interdisciplinary deep learning approach may be beneficial for providing a better evaluation of water resources.

Research of the System for Evaluation and Development of Human Resources in an Organization from the Insurance Sector

This article focuses on determining the specifics of human resources through the prism of their role in the insurance company, their participation in its activity and their contribution to the results. The article presents at a conceptual level the approach, structure, goals and tasks of such a study, and describes the expected results. The structure of the insurance company is described in view of the distribution of human resources. The arguments for the need for such a study, imposed by the dynamics of development of the insurance sector, the new challenges before it and the role of people as the main resource, are also indicated.

A QUANTITATIVE AND QUALITATIVE ASSESSMENT OF TURKEY'S WATER RESOURCES POTENTIAL

One of the most basic human needs is water and the other is food. Water is also needed to create all the nutrients required for nutrition. Therefore, water is the basic element of life. While the presence of underground mines and oil is an indicator of the wealth of a country, the existence of water resources is now considered in this group, since the value of water is understood today. 
 A hundred years ago, the existing water availability in a country was a direct indicator of the water wealth of that country. However, as a result of the increase in industrialization and the rapid pollution of water resources, it has become a necessity to evaluate water not only in terms of quantity but also in terms of quality. Because the unit water value of a source is related to how much different purposes that source can be used for. The more a water resource can be used for many purposes, the more valuable it is. Sometimes one unit of very clean water is more valuable than a hundred units of dirty water. For this reason, the presence of a country's water resources should be evaluated not only in terms of quantity but also in terms of quality.
 In this study, the total surface waters as rivers and lakes and underground waters of Turkey were examined in terms of quantity and quality on a basin basis, and comments were made about the basin water potentials.
 Although the amount of water in 25 water basins in Turkey does not show a significant change over time, a serious pollution draws attention in terms of quality, especially in the last 50 years. The change in the amount of water in the basin mostly manifests itself in the form of a decrease in the water amount of river, lake and groundwater. This process is a situation that arises with the effect of global warming and climate change, which is a global problem that concerns the whole world. However, pollution in water resources and making the water resource unusable are all related to the fact that the regulations on the protection of water are not adequately implemented and people do not act consciously. In other words, although quantitative reduction is a global problem, the quality problem is related to the polluting factors in the region of that resource.
 In the country with a very high population growth rate, the decrease in the per capita water potential and the rapid increase in the pollution in the existing resources cause the amount of usable water resources to decrease gradually. In this study, attention was drawn to point and diffuse pollution on the basis of water presence and water source on the basis of basin, and the evaluation of Turkey's water resources in terms of quantity and quality was made.

Construction and Empirical Study on the Value Assessment System of Traditional Cultural Resources: Taking Shandong Province in China as an Example

Accurate value assessment is the cornerstone and key to ensuring the effective protection, inheritance, and utilization of traditional cultural resources. Based on existing study and relevant literature on cultural resource assessment, combined with the characteristics of traditional cultural resources themselves, this study has constructed a general index system for evaluating traditional cultural resources from four dimensions: resource quality, development conditions, resource value and resource utility. The analytic hierarchy process(AHP) was used to determine the weight of each factor of the criteria layer and each evaluating index of the index layer, and a traditional cultural resource value assessment model was constructed by combining the scoring method of the ultimate indicator. Subsequently, based on the empirical evaluation of traditional cultural resources in Shandong Province, this study puts forward relevant suggestions for effective protection, inheritance and utilization of traditional cultural resources from the perspectives of government, enterprises and society.

Estimating Unconfined Aquifer Diffusivity Using 1D Phase Spectral Analysis: A Case Study in the Middle Reach of the Hutuo River, North China Plain

Aquifer diffusivity is a basic physical parameter used in hydrogeological calculations and is important for the evaluation and rational utilization of water resources, pollution prevention, and wetland protection. In this study, with the assumptions of aquifer isotropy, i.e., no vertical flow and constant saturated aquifer thickness, by using the Fourier transform and convolution theorem, a 1D analytical solution of the phase spectrum for an unconfined aquifer system was derived, which subsequently led to a phase spectrum solution for aquifer diffusivity. To test the efficacy, the proposed method was applied to a study site in the middle reach of the Hutuo River in the North China Plain. The estimated aquifer diffusivity ranged from 1.9 × 103 to 4.9 × 104 m2/d, with a mean of 2.2 × 104 m2/d, which was consistent with the results obtained using power spectral analysis, pumping tests, and inverse numerical models. The phase spectral approach proposed in this paper can estimate the aquifer properties on a larger scale. If long time series of hydraulic heads are available, it can estimate hydrogeological parameters accurately and quickly. Considering the similarity of the linearized governing equations, it can also be applied to the river–aquifer system and the confined aquifer system.

Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province

Water security is not only an ecological environmental issue but also a bearing on national security and development. The study of water resources carrying capacity is the basis for future socioeconomic development and is the driving force for social progress. Therefore, it is important to investigate the influence factors of regional and national water resources carrying capacity (WRCC) and predict the future trend development. In view of the regional water resources data of the past 10 years in Anhui province, China, the Driving force Pressure State Impact Response Management (DPSIRM) model framework is constructed and the entropy weight method and variable weight theory can be used to make a comprehensive evaluation of the WRCC. Based on the comprehensive evaluation value, a modified Grey-Markov combination forecast can be introduced to predict the local WRCC in the coming years. The study on account of the Anhui Statistical Yearbook, the Water Resources Bulletin, and the water resources data of the Forestry Bureau for the past 10 years shows that the WRCC of Anhui Province is weak from 2010 to 2013 and gradually strengthens from 2014 to 2019; the WRCC of Anhui Province is mainly correlated with the impact subsystem, the management subsystem, and the state subsystem. The combined projections reflect that the future WRCC of Anhui Province is in good condition. It is recommended that the Anhui provincial government should strengthen water security and management, improve water resources utilization techniques, and construct complete and effective management tools and measures to fundamentally safeguard the province's water resources security and improve the WRCC.

3D Multicomponent Self-Potential Inversion: Theory and Application to the Exploration of Seafloor Massive Sulfide Deposits on Mid-Ocean Ridges

The marine self-potential (SP) method is currently playing an increasing role in the exploration and resource evaluation of seafloor massive sulfide (SMS) deposits. SP surveys are conducted using autonomous underwater vehicles (AUV), which yield multicomponent electric field datasets. By comparing with the single-component electrical field data used to date, the inversion of these multicomponent data is expected to provide a more accurate description of the 3D structure of SMS deposits beneath the seafloor (like gradiometry in gravity surveys). We introduce an inversion algorithm specifically adapted to multicomponent SP data. A synthetic model demonstrates that the inversion of multicomponent datasets allows us to better recover the amplitude of the current density and the morphology of the ore bodies compared to using a single component of the electrical field. Next, we apply our approach to a multicomponent SP dataset collected during the DY58 oceanic cruise at the Yuhuang hydrothermal field on the Southwest Indian Ridge. Subsequently, we reconstruct the three-dimensional (3D) geometry of the SMS deposits beneath the seafloor. The AUV-based SP system with the collection of multicomponent SP data inversion appears to be a powerful tool in the exploration and evaluation of seafloor sulfide resource and, in the future, could be used in concert with induced polarization data.

Synopsis of exotic aquatic species present in the amazon continental shelf and adjacent areas

This study presents updated information on six exotic aquatic species (five crustaceans and one fish): Macrobrachium rosenbergii, Penaeus monodon, Charybdis hellerii, Balanus trigonus, Amphibalanus improvisus, and Pterois volitans. The research is based on bibliographic information available in scientific articles published by the Research Group Fishing and Evaluation of Tropical Fishery Resources and Biological and Photographic Records obtained from research projects conducted by CEPNOR/ICMBio. Currently, M. rosenbergii shrimp is classified as an invasive species, P. monodon is classified as a detected species, and C. hellerii is currently classified as an established species, but there are strong indications that it should be reclassified as invasive. The barnacles A. improvisus and B. trigonus have been classified as invasive, and lionfish P. volitans strongly exhibits advanced invasion process owing to its high frequency of capture in commercial fisheries.

Quantitative Precipitation Estimation in the Tianshan Mountains Based on Machine Learning

Precipitation in the Tianshan Mountains is abundant, and the quantitative estimation of precipitation in mountainous areas is important to the application and evaluation of regional water resources. With remote sensing technology, satellite inversion of precipitation can estimate precipitation in mountainous areas. However, the Tianshan Mountain terrain is complex, and the spatiotemporal variation in precipitation is large, so the accuracy of satellite precipitation inversion is not high. Here, precipitation data from around 1000 automatic weather stations in the Tianshan Mountains are used to study the correction technology of the Integrated Multisatellite Retrievals for the Global Precipitation Measurement (GPM) mission’s (IMERG) monthly precipitation products using stepwise regression (STEP), geographically weighted regression (GWR), and random forest (RF). First, geographic information system technology was used to extract topographic variables from a digital elevation model, and vegetation indexes, which are important precipitation indicators, were introduced as explanatory factors to correct satellite precipitation data. Second, GPM IMERG precipitation was corrected by establishing the stepwise regression, the geographically weighted regression model, and the random forest model. The three correction methods can improve the GPM IMERG in terms of relative bias, root mean square error, correlation coefficient, and Nash–Sutcliffe efficiency, while the random forest method shows better corrections than the two traditional methods. For dense rainfall stations, the geographically weighted regression method is as effective as random forest. For different altitudes, the results show that RF has the best correction effect in the first three zones, but the correction effect in the last zone (over 3000 m) is worse than STEP. This study provides a practical reference method for estimating precipitation data in the non-rainfall observation area, which helps to deepen the scientific understanding of the water resource distribution in the Tianshan Mountains and provide scientific data support for regional hydrological and meteorological research.

Evaluation and analysis of tourism resources and environmental carrying capacity (TRECC) of 278 cities in China: A pressure-support perspective

Sustainable development has emerged as a fundamental objective in contemporary tourism decision-making. The evaluation and analysis of tourism resources and environmental carrying capacity (TRECC) play a crucial role in comprehending and mitigating the conflict between the preservation and utilization of tourism resources and environment, thereby ensuring sustainable tourism development. This study constructs a conceptual framework and an evaluation index system for TRECC from a pressure-support perspective. It quantifies and evaluates the TRECC of 278 Chinese cities, evaluating and analyzing their overall performance, restricting factors, spatial distribution, and common characteristics. The study reveals the following: (1) The majority of cities are in a high-value surplus state, while only a few cities are in a low-value surplus state. Only Shanghai, Shenzhen, Chongqing, Wuhan, Suzhou, and Dongguan are in a low-value overload state, with Shanghai showing a tendency to transition into the high-value overload state, necessitating heightened monitoring and early warning systems. (2) Scenic spot abundance, natural environment, industry support, tourist scale, and air pollution are the main factors restricting TRECC for most cities. (3) An imbalance is observed in the spatial distribution of TRECC, with the support index high in the southeast and low in the northwest, and the pressure index and TRECC index high in the east and low in the west, or high in the coast and low in the interior. The core cities of Beijing-Tianjin-Hebei urban agglomeration, Yangtze River Delta urban agglomeration and Pearl River Delta urban agglomeration are hotspots where high values of TRECC are significantly clustered. (4) Based on TRECC characteristics, cities can be classified into eight types: mega tourism cities, super tourism cities, large tourism cities, southern tourism cities, northwestern tourism cities, tourist-barrier cities, non-tourism-oriented cities, and industrial tourism cities. With these results, policy implications to optimize TRECC are provided, producing an effective reference for formulating tourism development planning.

Evaluation of Cloud Water Resources in the Huaihe River Basin Based on ERA5 Data

High-resolution reanalysis data are an effective way to evaluate cloud water resources (CWRs). Based on ERA5 reanalysis data and gridded observed precipitation data, combined with the diagnostic quantification method of cloud water resource (CWR-DQ), we analyze and evaluate the CWRs and their distribution characteristics in the Huaihe River Basin from 2011 to 2021. Moreover, we compare and evaluate the CWRs of two typical precipitation processes in summer and winter. The results show that the annual total amount of atmospheric hydrometeor (GMh) in the Huaihe River Basin is approximately 1537.3 mm. The precipitation (Ps) is 963.5 mm, the cloud water resource (CWR) is 573.8 mm, and the precipitation efficiency of hydrometeor (PEh) is 62.4%. The CWR in the Huaihe River Basin shows a slow increasing trend from 2011 to 2021.The monthly variations in Ps, CWR, and PEh show a single peak distribution. The spatial horizontal distributions of the gross mass of water vapor (GMv), GMh, and Ps in the Huaihe River Basin are zonal, and the values decrease with increasing latitude. In summer, the hydrometeors are mainly distributed in the middle layer (between 600 and 350 hPa). The hydrometeors in spring, autumn, and winter are mainly below 500 hPa. Two cases reveal that GMv, the condensation from water vapor to hydrometeors (Cvh), GMh, Ps, and PEh in the summer case are significantly higher compared to those in the winter case, while the CWRs are similar. The results are helpful for proposing rational suggestions for the Huaihe River Basin and to provide some beneficial reference for the development of CWRs.

Multiple-Genome-Based Simple Sequence Repeat Is an Efficient and Successful Method in Genotyping and Classifying Different Jujube Germplasm Resources.

Jujube (Ziziphus jujuba Mill.) is a commercially important tree native to China, known for its high nutritional value and widespread distribution, as well as its diverse germplasm resources. Being resilient to harsh climatic conditions, the cultivation of jujube could provide a solution to food insecurity and income for people of arid and semi-arid regions in and outside of China. The evaluation of germplasm resources and genetic diversity in jujube necessitates the use of Simple Sequence Repeat (SSR) markers. SSR markers are highly polymorphic and can be used to evaluate the genetic diversity within and between cultivars of Chinese jujube, and are important for conservation biology, breeding programs, and the discovery of important traits for Chinese jujube improvement in China and abroad. However, traditional methods of SSR development are time-consuming and inadequate to meet the growing research demands. To address this issue, we developed a novel approach called Multiple-Genome-Based SSR identification (MGB-SSR), which utilizes the genomes of three jujube cultivars to rapidly screen for polymorphic SSRs in the jujube genome. Through the screening process, we identified 12 pairs of SSR primers, which were then used to successfully classify 249 jujube genotypes. Based on the genotyping results, a digital ID card was established, enabling the complete identification of all 249 jujube plants. The MGB-SSR approach proved efficient in rapidly detecting polymorphic SSRs within the jujube genome. Notably, this study represents the first successful differentiation of jujube germplasm resources using 12 SSR markers, with 4 markers successfully identifying triploid jujube genotypes. These findings offer valuable information for the classification of Chinese jujube germplasm, thereby providing significant assistance to jujube researchers and breeders in identifying unknown jujube germplasm.

INTELLIGENT SYSTEMS FOR FORMING PROJECT TEAMS IN SAFETY-ORIENTED SYSTEMS

Human security project teams are formed in higher education institutions that train qualified civil protection specialists. One of the tasks is to increase the efficiency of forming SOS project teams by HR services, as well as to improve the recruitment and selection procedure using modern information technologies. Developing human resources, improving the quality of higher education for its applicants. Information systems provide high speed data processing, information search, recruitment optimization and candidate analysis. Automation of HR processes helps to reduce the labor intensity and resource costs of tasks. New models, methods, and technologies for processing materials and information about applicants for the purpose of evaluating them for further involvement in the SOS project will contribute to the sustainable development of the organization. The subject of the study is models for automating the selection of personnel in safety-oriented systems with their subsequent formation into project teams of the civil protection service and law enforcement agencies. One of the components of human resource management is the implementation of a subsystem for the assessment and selection of human resources, the initial elements of which are the basis for making personnel decisions on the formation of project teams. The purpose of the study is to formalize the criteria for selecting candidates to reduce the subjectivity of the assessment; optimize and automate the selection process, design expert decision support systems for HR. The article sets the following tasks: to design an information system for the formation of project teams in safety-oriented systems, taking into account the parameters of personal human qualities and professional skills of candidates using information expert systems. To improve the quantitative assessment and qualitative indicators of applicants, it is advisable to formalize the criteria and their weighting coefficients using the theory of qualimetrics and personnel assessment methods. The following research methods were used: system analysis, empirical methods, and project management methodology. The following results have been obtained: a model-scheme of an iterative approach to the development of an information system for human resource management for higher education institutions, taking into account specific learning conditions, has been developed. Conclusions. The methods of evaluation and selection of human resources, as well as the criteria for their selection in complex socio-technical systems are analyzed. The possibilities of automating HR processes and integrating an information system to support the formation of project teams in a safety-oriented system are considered. description of the life cycle of complex systems of a safety-oriented system, namely, the life cycle of such complex socio-technical systems is described, taking into account their characteristics and environment.