Resource Conditions Research Articles

Impact of Changes in Jakarta's Status on West Java Province: The Ecology of Public Administration and Utilitarianism Perspective

This research explains the reality of moving the capital city of Indonesia from Jakarta to Ibu Kota Nusantara (IKN) in North Penajam Paser, East Kalimantan Province, and the opportunities for the dynamics of ecological balance in public administration that will be formed for West Java Province using the equilibrium model from Fred W. Riggs. The previous research has not yet found publications on IKN using the ecological perspective of public administration and utilitarianism. Reserachers uses qualitative research methods uses prospective case studies as a form of research. The research results show that there will be a change in equilibrium in the public administration system. The policies produced by the political system in the form of moving the country's capital from DKI Jakarta to IKN, changing DKI Jakarta to DKJ, and expanding the agglomeration area are predicted to shift the ecological balance of West Java Province's public administration. Viewed from the perspective of Jeremy Bentham's pleasure and pain utilitarianism, the West Java Provincial Government can take a development policy direction that is based on the reality of human resource conditions and geographical advantages.

Abundance, diversity and composition of understory plants along the altitudinal gradient and dominant overstory composition types in the temperate Himalayan region

IntroductionThe Indian Himalayan forests are remarkable landforms experiencing tremendous climatic variation, constituting complex and diversified ecosystems with prominent vegetation zones. Despite their global significance and substantial research efforts focused on plant diversity in the temperate Himalayan region, only a few studies have explicitly assessed the distribution patterns of understory vegetation in relation to forest compositional types along altitudinal gradients.MethodsTo cover a wide range of altitudes and diverse overstory compositions, stands were sampled across four altitudinal ranges from 1500 to 3500 meters above mean sea level with increments of 500 meters in elevation steps. The overstory compositions were classified on the basis of dominant tree species in each stand on the similar sites. Vegetation in the shrub and ground layers was surveyed by visually estimating the percentage coverage within circular plots.ResultsA total of 99 understory species including 37 species each in the shrub layer, 62 species in the herb layer vegetation were recorded. The abundance, species diversity and composition of understory vegetation differed significantly along the altitudinal gradient and dominant overstory composition types. Moreover, distinct understory vegetation communities were observed at lower elevations compared to higher elevations, with middle elevations exhibiting intermediate vegetation characteristics. The study also highlighted the importance of dominant overstory composition types in shaping the pattern of understory vegetation abundance, species diversity and composition in the temperate Himalayan region. The higher resource conditions associated with broadleaved stands supported higher understory species abundance at lower elevations, while the heterogeneous conditions induced by the mixedwood stands promoted higher understory species diversity.ConclusionThe hump shaped pattern along the altitudinal gradient appeared to be the most dominant pattern of plant abundance and species diversity and call for more conservation concern towards the middle elevation zones in the temperate Himalayan region. Furthermore, the management interventions should aim at maintaining diverse range of overstory composition types for conserving biodiversity and their ecological functions in the temperate Himalayan region.

About managing the number of simultaneously functioning software robots of different types

Objectives. The study sets out to justify the relevance and investigate approaches for solving the problem of managing the number of simultaneously functioning software robots of various types under conditions of limited computational resources and changes in sets of executable tasks.Methods. A proposed solution is based on models and methods of scenario management, linear programming, inventory management, queuing theory, and machine learning. The described methods are valid for different compositions and preconditions for generating initial data, as well as ensuring the relevance horizons of the obtained solutions.Results. The initial data is obtained via the presented approach for determining the computational resource parameters for operating a single software robot. The resources are determined by analyzing the composition of the software and information services used by an actual software robot. Problem statements and mathematical models are developed for cases involving scenario management and linear programming methods. Methods for real-time management of the number of software robots and their sequential local optimization are proposed based on the abovementioned solution sequences. The developed method for generating statistical data based the results of applying the sequential local optimization method is used to identify deficient and non-deficient computational resources. Some results of working in the multi-functional center of RTU MIREA software robots developed on the Аtоm.RITA platform are outlined.Conclusions. The emerging problem of managing the number of simultaneously operating software robots of various types for cases involving scenario control methods and linear programming is formalized. This problem is relevant in the field of automation of business processes of organizations. The use of mathematical methods for solving this problem opens up opportunities for expanding the functional capabilities of robotic process automation platforms, as well as increasing their economic efficiency to create competitive advantages by optimizing the use of IT infrastructure components.

Galaxybase: A High Performance Native Distributed Graph Database for HTAP

We introduce Galaxybase, a native distributed graph database that addresses the increasing demands for processing large volumes of graph data in diverse industries like finance, manufacturing, and government. Designed to handle the requirements of both transactional and analytical workloads, Galaxybase stands out with its novel data storage and transaction mechanisms. At its core, Galaxybase utilizes a Log-Structured Adjacency List coupled with an Edge Page structure, optimizing read-write operations across a spectrum of tasks such as graph traversals and single edge queries. A notable aspect of Galaxybase is its execution of custom distributed transaction modes tailored for HTAP transactions, allowing for the facilitation of bidirectional and interactive transactions. It ensures data integrity and minimal latency while enabling simultaneous processing of OLTP and OLAP workloads without blocking. Experimental results show that Galaxybase achieves high throughput and low latency in both OLTP and OLAP workloads, across various graph query scenarios and resource conditions. Galaxybase has been deployed in leading banks, education, telecommunication and energy sectors in China, consistently maintaining robust performance for HTAP workloads over the years.

Inbreeding avoidance, competition and natal dispersal in a pair-living, genetically monogamous mammal, Azara's owl monkey (Aotus azarae).

Natal dispersal is an important life-history stage influencing individual fitness, social dynamics of groups and population structure. Understanding factors influencing dispersal is essential for evaluating explanations for the evolution and maintenance of social organization, including parental care and mating systems. The social and mating systems of Azara's owl monkeys (Aotus azarae) are infrequent among mammals; these primates are pair-living, serially and genetically monogamous and both sexes directly care for offspring. To evaluate the role that competition and inbreeding avoidance play in shaping dispersal patterns, we used 25 years of demographic and genetic data to examine how variation in timing of natal dispersal is related to social (adult replacements, step-parents, births and group size) and ecological factors (seasonal abundance of resources) in a wild population of A. azarae in Formosa, Argentina. We found that all males and females dispersed from their natal groups, but subadults delayed dispersal when a step-parent of the opposite sex joined the group, indicating that they may perceive these step-parents as potential mates. Dispersal was more probable when resource conditions were better, regardless of age. Overall, agonistic conflict over food and potential mates with adults in the natal group, as well as inbreeding avoidance, contribute to regulating dispersal.

Spatial assessment of soil resources on different land uses and slope gradient as a planning tool, in Ferenjua watershed, Ethiopia

Soil erosion, land degradation and climate change are the major environmental threats attributed to low agricultural productivity in Ethiopia. To reduce soil erosion and restore degraded lands, integrated soil and water conservation interventions have been implemented. However, the impacts of the intervention measures were not sufficiently studied due to the lack of baseline information. Therefore, this study was carried out to evaluate and understand the current conditions of biophysical resources in Ferenjua watershed, which is located in Gondar zuria district. In this study, more emphasis was given to the levels of total nitrogen (TN), available phosphorous (P), organic matter (OM), bulk density (BD), pH, moisture, texture and soil erosion. To collect the biophysical data, the watershed was divided into 144 grid-based sampling points with a resolution of 250 m by 250 m. In addition, the data were collected in 8 representative profile pits. Three primary land uses were identified from supervised land use and land cover classification and described as cultivated land (55.08 %), forestland (30.80 %), and grassland (14.12 %). Erosion hotspot map shows that >40 % of the watershed is moderately and highly susceptible to soil erosion. The highest BD (1.36 gm cm−3) was observed at Vertisols-dominated cultivated lands located in the flatlands, whereas, the lowest BD (1.28 gm cm−3) was observed under forestland. Regarding the results of TN, P, and OM, >60 % of the watershed was classified as having low to very low soil nutrient levels. Consequently, development interventions should be considered to restore degraded lands for the sustained use of resources in the watershed.

Fisheye Night Sky Imager: A Calibrated Tool to Measure Night Sky Brightness

The Night Skies Team of the U.S. National Park Service (NPS) has developed a new camera system equipped with a fisheye lens to measure night sky brightness. This NPS Fisheye Night Sky Imager comprises a back-illuminated Sony IMX455 CMOS sensor housed in the ZWO ASI6200MM camera, a Johnson V filter, and a Sigma 8 mm F3.5 fisheye lens. All of the components are commercially available. The fisheye lens allows us to capture the entire sky in a single frame. The wide-angle view also introduces calibration challenges. To address this, we have customized tools and devised innovative methods for calibrating the system, including flat-field correction, pixel scale determination, and field of view characterization. Additionally, we use standard stars for precise positional and photometric calibration. Furthermore, we create an open-source Python pipeline to process these fisheye images and leverage Git and GitHub for source code version control and distribution. The resulting images provide a positionally and brightness-calibrated fisheye view of the night sky, with a photometric calibration uncertainty of 0.12 mag. When comparing our Fisheye Night Sky Imager measurements to images taken with other calibrated systems, we reliably achieve consistent results under both dark and bright skies. Our Fisheye Night Sky Imager not only enables rapid assessment of sky quality but also supports the feasibility of establishing permanent monitoring locations. Recognizing that the natural dark sky is a critical element for natural, cultural, educational, and visitor experiences, this new camera system enhances our ability to assess resource conditions and fulfill the NPS mission of conserving resources unimpaired for the enjoyment of this and future generations.

Spatial-Temporal Dynamics of Water Resources in Seasonally Dry Tropical Forest: Causes and Vegetation Response

Seasonally Dry Tropical Forests (SDTFs) are situated in regions prone to significant water deficits. This study aimed to evaluate and quantify the dynamics and spatial patterns of vegetation and water bodies through the analysis of physical–hydrological indices for a remnant of FTSD between 2013 and 2021. Basal area, biomass, and tree number were monitored in 80 permanent plots located in two areas of an SDTF remnant with different usage histories. To assess vegetation and water resource conditions, geospatial parameters NDVI, NDWIveg, NDWI, and MNDWI were estimated for the period from 2013 to 2021. The observed patterns were evaluated by simple linear regression, principal component analysis (PCA), and principal component regression (PCR). Area 2 presented higher values of basal area, biomass, and number of trees. In area 1, there was an annual increase in basal area and biomass, even during drought years. The NDVI and NDWIveg indicated the vulnerability of vegetation to the effects of droughts, with higher values recorded in 2020. NDWI and MNDWI detected the water availability pattern in the study area. Physical–hydrological indices in the dynamics of tree vegetation in dry forests are influenced by various factors, including disturbances, soil characteristics, and precipitation patterns. However, their predictive capacity for basal area, biomass, and tree number is limited, highlighting the importance of future research incorporating seasonal variability and specific local conditions into their analyses.

A WEAP-assisted agent-based modeling approach for watershed planning in a coupled human and nature system

ABSTRACT Coupled human and nature systems exhibit dynamic water demands due to diverse consumer socio-economic characteristics, resulting in inherent complexities. Modeling such systems effectively entails adopting an agent-based methodology. To enhance comprehension of water resource management in the Zarrineh-Roud Basin, northwest of Iran, a comprehensive hydrological-behavioral model has been utilized. This model consists of two primary components: An agent-based model (ABM) for simulating farmers’ decision-making processes and a water evaluation and planning (WEAP) model for simulating catchment area, cultivated area, and agricultural water consumption. Validation outcomes of the simulation model demonstrate precise estimation, particularly in the runoff estimation of the Nezam Abad hydrometric station, with statistically favorable correlation coefficient (R2) and Nash–Sutcliffe index (NS) values of 0.78 and 0.75, respectively. Analysis of different management scenarios indicates that with ample government funds, simultaneous implementation of ‘Education and increasing environmental awareness’ and ‘Alternative employment’ policies can significantly improve water resources conditions and income. In scenarios with limited financial resources, a combined implementation of ‘Water pricing,’ ‘Alternative employment,’ and ‘Education and raising environmental awareness’ emerges as the most effective strategy for managing water resources, albeit with a slight reduction in farmers’ income.

Small-Scale Irrigation: Improving Food Security under Changing Climate and Water Resource Conditions in Ethiopia

Small-Scale Irrigation: Improving Food Security under Changing Climate and Water Resource Conditions in Ethiopia

The proactive and reactive mechanisms of learned spatial suppression.

Selection history refers to the notion that previous allocations of attention or suppression have the potential to elicit lingering and enduring selection biases that are isolated from goal-driven or stimulus-driven attention. However, in the singleton detection mode task, manipulating the selection history of distractors cannot give rise to pure proactive inhibition. Therefore, we employed a combination of a working memory task and a feature search mode task, simultaneously recording cortical activity using EEG, to investigate the mechanisms of suppression guided by selection history. The results from event-related potential and reaction times showed an enhanced inhibitory performance when the distractor was presented at the high-probability location, along with instances where the target appeared at the high-probability location of distractors. These findings demonstrate that a generalized proactive inhibition bias is learned and processed independent of cognitive resources, which is supported by selection history. In contrast, reactive rejection toward the low-probability location was evident through the Pd component under varying cognitive resource conditions. Taken together, our findings indicated that participants learned proactive inhibition when the distractor was at the high-probability location, whereas reactive rejection was involved at low-probability location.

Analysis of tools for evaluating the effectiveness of the personnel adaptation system in the context of the social entrepreneurship

In the context of war and economic instability, social enterprises in Ukraine face numerous challenges, including limited resources and the need for a special approach in the human resources area. These factors make an effective system of employee adaptation crucial for ensuring the stability and sustainable growth of such enterprises. The article aimed to study and analyse the main tools and approaches for assessing the effectiveness of the staff adaptation system in the context of social enterprises. To achieve this goal, the methods of analysis, synthesis and content analysis were used to systematise existing scientific data. The study found that well-organised staff adaptation system helps to reduce staff turnover, increase productivity and engage employees in the social mission of the enterprise. The analysis of scientific works has identified the key factors of successful personnel adaptation under martial law, as well as the main challenges and risks faced by newcomers. The essence of assessing the effectiveness of the adaptation system is revealed, the priority criteria and tools for its evaluation, their advantages and risks are identified. The need for regular assessment of the socio-psychological climate and the level of professional training was justified. The most priority criteria and tools for assessing the effectiveness of the staff adaptation system are highlighted. The objective and subjective results of the assessment are considered, on the basis of which recommendations to improve the adaptation processes in enterprises are developed. The practical value of the study lies in the development of specific recommendations for assessing and optimising adaptation processes in social enterprises, ensuring their stability and success even in conditions of war and limited resources; the results of the study can be used in business opera-tions, particularly in social enterprises of various ownership forms, to improve the efficiency of decisions in the human resources area

Population, Land, and the Development of the Commodity Economy: Evidence from Qing Dynasty China

Population growth exacerbates the pressure on land carrying capacity, affecting the sustainability of agricultural production, and also impacts non-agricultural industries. This paper utilizes grain price data from southern China during the Qing Dynasty (1776–1910) to examine the impact of population and land pressure on the development of the commodity economy under the “involution” of smallholder agriculture. This study finds that under conditions of stagnant technological advancement and limited natural resources, population growth during the Qing Dynasty created significant “Malthusian” population pressure. This pressure on land first resulted in the over-concentration of agricultural labor and saturation of the farming population. Surplus labor, unable to be absorbed by agriculture, shifted to non-agricultural sectors, engaging in the transportation and trade of grain. The pressure on land carrying capacity facilitated the cultivation and processing of cash crops, and product trade was supported by efficient waterway transportation. These activities generated commercial profits that alleviated survival pressures and promoted the prosperity of the commodity economy. However, this prosperity did not accompany significant productivity improvements; instead, it was a product of “involution” agriculture under high population density pressures.

Water-suitable reclamation can mitigate the amplified agricultural water stress driven by climate change in arid inland basin

The escalation of water scarcity poses a significant challenge to the sustainability of irrigated agriculture in arid regions, with climate change further amplifying the unpredictability of water resources for agricultural purposes. Despite the critical nature of this issue, there is a lack of research identifying effective adaptation strategies and establishing water-suitable thresholds for agricultural development. This study modified a conventional approach for estimating irrigation water use (IWU) in the Heihe agricultural area of Northwest China, integrating the distributed hydrological components of the Soil and Water Assessment Tool (SWAT) model. It modeled IWU and surface water availability across three representative concentration pathways (RCPs) and conducted an extensive analysis of agricultural water scarcity for the period 2021–2050. The study established threshold levels for water-suitable agricultural development based on predicted local water resource conditions. Findings suggested a trend towards warmer and wetter conditions in the Heihe agricultural area over the next three decades. The anticipated average IWU, predicted by five general circulation models (GCMs), was expected to reach 26.785 × 108 m3 (RCP2.6), 26.827 × 108 m3 (RCP4.5), and 26.865 × 108 m3 (RCP8.5). These projections indicated an increase of 0.815 × 108 m3, 0.857 × 108 m3, and 0.895 × 108 m3, respectively, in comparison to the historical period spanning from 1985 to 2014. Streamflow was anticipated to diminish by 0.28 × 108 m3 (RCP2.6), 0.46 × 108 m3 (RCP4.5), and 0.23 × 108 m3 (RCP8.5). The predicted agricultural water scarcity index (WSI) was 1.764 (RCP2.6), 1.789 (RCP4.5), and 1.763 (RCP8.5), indicating a worsening of agricultural water use shortages due to climate change. The study identified controlling the scale of cultivation as the most effective adaptation strategy, recommending that water-suitable agricultural reclamation in the Heihe agricultural area be confined to 25 × 104 ha. This research offers a comprehensive assessment of future water security in an arid inland basin, providing valuable insights into the sustainable development of global irrigated agriculture and adaptation strategies in response to climate change.

Pan-europski kriteriji i indikatori održivog gospodarenja šumama: Institucionalni aspekti i mogućnost primjene u šumarstvu Federacije Bosne i Hercegovine

Overexploitation of natural resources have caused serious environmental issues, including climate change, biodiversity loss, habitat degradation, and soil and water pollution. The Pan-European criteria and indicators for sustainable forest management offer a tool to monitor progress and report on the sustainability of forest resources at sub-national, national, and regional levels. This paper examines the institutional aspects and possibilities of application of these criteria and indicators in the forestry sector of the Federation of Bosnia and Herzegovina (FBiH), aiming to improve forestry conditions and develop a coherent forest policy. A survey of 360 forestry experts from FBiH revealed that the majority support the positive impact of implementing the Pan-European criteria and indicators in the forestry sector. It was determined that the Ministry of Agriculture, Water Management, and Forestry of FBiH should be responsible for developing and collecting data related to these criteria and indicators. However, the primary barriers to implementation include a lack of financial resources, expertise, and commitment. While the public forest administration is formally prepared to apply these criteria, its current capacities are inadequate for effective implementation. Strengthening the capacity of the public forest administration is crucial to ensure the application of the Pan-European criteria and indicators for sustainable forest management. This would enable consistent and systematic monitoring and improvement of forest resource conditions and the overall state of the forestry sector in FBiH.

Innovative educational and research center for monitoring forest resources of Siberia based on laser and microwave aerospace imaging

The possibilities of creating an innovative educational and scientific center for monitoring forest resources in Siberia on the basis of the Department of Space Facilities and Technologies of the Siberian State University of Science and Technology named after Mikhail Fedorovich Reshetnev are discussed, with the aim of training highly qualified engineering personnel and conducting promising scientific research in the field of monitoring, modeling, forecasting and management of forest resources. Methodological solutions and algorithms for three-dimensional modeling of forest structure and dynamics based on laser scanning data, digital aerial and space photography are proposed. These methods contribute to operational monitoring and can significantly reduce the cost of monitoring the condition and use of forest resources over the vast territory of Siberia. Remote sensing data is presented in the form of a geotransformed database and digital photo map, compatible in formats with computer-aided design systems and with the main geographic information systems – ArcView, ArcINFO, MapINFO. The innovative monitoring center will be used for operational state control and monitoring of forest management, the state of forest lands, forest management and forest inventory, solving problems of ecology and environmental management, geoecology, formation of a forest resource inventory, aerospace methods for studying natural resources and territories, information technology. Solving these problems will allow for the training of highly qualified specialists. The center's specialists plan to create information technologies for remote sensing of natural objects with the aim of import substitution of foreign software products. The main scientific directions of the created center: development and research of methods for system analysis of large-scale multidimensional remote sensing data based on nonparametric decision-making algorithms and parallel computing technologies; testing hypotheses about the distributions of large-volume remote sensing data based on nonparametric nuclear-type pattern recognition algorithms; detection of compact groups of large-volume remote sensing data corresponding to unimodal fragments of the joint probability density of multivariate random variables.

Manure application influences microbial stoichiometry and alters microbial life strategies to regulate phosphorus bioavailability in low-P paddy soil

Microbial stoichiometry is pivotal in the soil elements cycle within terrestrial ecosystems. However, the impact of microbial stoichiometry on the phosphorus (P) pool transformation in low-P paddy soil, especially with manure addition, remains poorly understood. This study aimed to elucidate the response mechanism of microbial stoichiometry in regulating P pool transformation in two low-P paddy soils during a 60-day flooding-drought incubation. The results demonstrated that pig manure and vermicompost application significantly increased soil Olsen-P by 202–309 %, and microbial biomass P (MBP) by 54.4–79.3 % compared to no fertilization. Additionally, vermicompost treatment increased moderately labile organic P (MLPo) by 133–257 % and decreased fulvic acidassociated organic P (FAPo) by 10.5–25.4 % in Acrisol-flooding, Acrisol-drought, and Ultisol-drought, indicating that manure application improved the transformation of FAPo to MLPo. The microbial biomass carbon (MBC)/MBP ratio was lowest under Acrisol-flooding and highest under Ultisol-drought, suggesting that microorganisms adjust high ratios for stoichiometric stability and enhanced MBP utilization under deficient resource conditions. Manure treatments increased alkaline phosphatase (ALP) by 5.33–12.9 % under flooding conditions, indicating microorganisms facilitate the mineralization of soil organic P (Po). Compared to Acrisol-flooding, both ALP and β-1,4-glucosidase (BG) significantly increased by 103 % and 259 %, respectively, under Ultisol-drought, along with a positive correlation between BG and MLPo, implying that microorganisms enhance soil organic matter mineralization in resource-limited conditions by increasing C-acquiring enzymes and releasing Po. Additionally, the microbial community composition shifted from r-strategists to K-strategists, primarily by decreasing Proteobacteria and increasing Acidobacteria under resource deficiency and drought. The r-strategists directly mineralize Po by maintaining a low MBC/MBP and high ALP, while K-strategists indirectly mineralize Po by maintaining a high MBC/MBP and high BG. The findings suggest that manure application altered the resource status of low-P paddy soils, changed microbial stoichiometry, and influenced soil P availability through adjustments in microbial activity and extracellular enzyme production.

THE FREIGHT FORWARDING OPERATIONS WITH BULK CARGO IMPROVEMENT

Abstract. The article considers the technology of bulk cargo transportation option by accelerated trains, based on two separate routes that allow delivering goods to the countries of the European Union by land in the West of our country and through the ports of the Black Sea coast. Approaches that allow not only to choose the best option for the bulk cargo transporting by accelerated trains technology, but also improving the vehicles use under the conditions of limited resources are considered. The rationality of measures to improve the quality of freight transportation organization is not only the economic effect from freight charges, but also the time of delivery. The analysis of the generalized economic-mathematical model of container trains, that includes the main criteria and parameters taking into account the technical equipment of the chain and the technology of transit flows, when service channels of different capacity in can exist each part of the logistic transport chain, with different costs and effects on the development of road traffic. The model of a freight container train proposed in this section improves the technology for the goods in containers transportation by the railways. During the delivery and export of goods by vehicles model development, it is necessary to take into account the fact that under present conditions, the volume of small-scale transport is almost zero. This is because they are expensive (high transport fee), have low product safety and long delivery time. Almost all of them are now transported by road, so it is not recommended to consider them as a promising direction in the further development of services for the import and export of goods. After calculating the savings from car turnover by containers acceleration, it was found that shipping containers in a block container train is much more efficient than in a block group, as cargo delivery times are faster, ranging from 8.05 to 9.08 days. We get savings from acceleration of car turnover by containers for a year within 430 - 450 thousand UAH. Economic consequences of introduction of container trains in Ukraine for 5 years of operation is 1 965 128 UAH for the route (S1) and 1 979 142 UAH for the route (S2). The proposed approaches prospect of development may be clarified by predicting the volumes of transport and the costs of components associated with the transport of goods in containers, by using stochastic modeling methods and artificial intelligence.

THE RISK THRESHOLD LEVEL JUSTIFICATION METHOD OF THE CRISIS SITUATIONS IN ORDER TO PREVENT ARMED AGGRESSION

The risk threshold level method of the crisis situations justification to prevent armed aggression against targeted state (with elements of artificial intelligence technology) has been developed, that ensures the integrated risks of crisis situations threshold levels determination. The method is based on the expert assessment and forecasting technologies and allows to track the dynamics of growth of destructive risks factors of negative trends in the development of the security environment and preventive response to the processes of ensuring the national security of the State in its defining areas by reducing the risks of the most dangerous negative trends that can provoke crisis situations in the targeted State. It is noted that since the target State has limited resources allocated to ensure national security, it makes no sense to fully consider all the identified negative trends (not all of them are aimed at the use of military force). Therefore, the method provides for the establishment of two threshold (critical) levels for each negative trend. The first level is the level of fixing the integral risk (if the negative trend has two or more destructive factors), upon reaching that the national security system organizes detailed monitoring of such a trend. The second level is the threshold level of of a crisis situation risk, at which crisis management is engaged in the system of ensuring national security. Practical implementation of the developed method will ensure a faster response to the risks of certain destructive factors for national security, which will make it possible to increase the efficiency of national security management under conditions of limited resources and expand preventive response to a wider range of negative trends in the geopolitical and military-political situation in the regions where targeted State's national interests are realized.

Ist informelle Telearbeit eine Gefahr für die Vereinbarkeit von Erwerbsarbeit und Familie? Ein Vergleich der Implikationen von formeller und informeller Telearbeit für Vereinbarkeitskonflikte

AbstractThe study analyses the relationship between formal and informal telework and work-family conflicts using the job-demands and resources (JD-R) model. Previously, the model has more frequently been applied to understand the implications of telework without distinguishing between formal telework and informal telework outside contracted working hours. We conducted cross-sectional OLS-regressions on pilot data from the European Social Survey compiled in 2019. The results show that formal telework is associated with fewer, and informal telework with more work-family conflicts. While formal telework appears as a resource, informal telework rather functions as a demand. Additional analyses report that formal teleworkers are nevertheless at risk of work-family conflicts because formal telework often goes hand in hand with informal telework and, thus, work-family conflicts.Practical Relevance: While formal telework can facilitate the reconciliation of work and family life, employees are at risk of counteracting this dynamic when telework is conducted informally during paid or unpaid overtime. The findings suggest that it is important for managers, HR managers and employees to be aware of the potentials and risks of frequent teleworking that come with the ability to work anytime and anywhere in order to avoid unintended consequences. In this context, an organisational culture that values adherence to schedules and ‘switching off’ at the end of the workday, even under conditions of high workloads and low personnel resources, can be beneficial.