bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Vapor Compression Refrigeration Systems Efficiency via Two-Phase Length and Superheat Evaporator MIMO Control
Authors: Estrada Antonio , Córdova-Castillo Leonardo , Piedra Saúl
Published: July 2024

The present investigation focuses on enhancing the efficiency of a vapor compression refrigeration system (VCRS) by proposing a Multiple Input Multiple Output (MIMO) control strategy based on the evaporator’s two-phase length and superheat temperature. A moving boundary dynamic model for the VCRS is implemented using the Thermosys Matlab Toolbox. The study analyzes the influence of actuation parameters, specifically compressor speed and expansion valve opening, on control parameters, namely two-phase length and superheat temperature. A comprehensive analysis based on the first and second laws of thermodynamics is conducted across a wide range of operating conditions. Simulation results demonstrate that two-phase length can be effectively utilized as a control parameter by selecting operating points that maximize the system efficiency. Additionally, the study reveals that extending the evaporator’s two-phase length to 80–90% of its limit increases system efficiency, enabling a reduction in compressor speed while maintaining the cooling capacity.
Sustainable Development of Entrepreneurship through Operational Risk Management: The Role of Corporate Social Responsibility
Authors: Karlibaeva Raya H. , Lipinsky Dmitry A. , Volokhina Vera A. , Gureeva Elena A. , Makarov Ivan N.
Published: July 2024

The goal of this paper was to study the role of corporate social responsibility (by the example of responsible HRM) in the sustainable development of entrepreneurship through operational risk management. The correlation analysis method was used to find a close connection between the number of employees and operational risks to international companies from “Global 500” in 2021–2023. The regression analysis method was used to compile the economic and mathematical model of the sustainable development of international entrepreneurship, which demonstrated wide opportunities for operational risk management through responsible HRM. The method of trend analysis allowed determining scenarios of the sustainable development of international entrepreneurship, which demonstrated that in the Decade of Action, the success of operational risk management is largely determined by the activity of the use of responsible HRM practices. The main conclusion is that responsible HRM facilitates the reduction of operational risks to modern companies, but practices of responsible HRM have different impacts on operational risks to companies: some practices (creation of knowledge-intensive jobs and stimulation of the innovative activity of employees through support for research talents) reduce operational risks, while some practices (stimulation of the growth of labor efficiency and attraction of female researchers to the staff) have a contradictory impact, and other practices (development of human capital through corporate training) increase operational risks. The theoretical significance is because the paper discloses the previously unknown consequences of responsible HRM as a special sphere of manifestation of corporate social responsibility for the operational risks of companies. The practical significance is because the compiled scenarios disclose the perspective of the sustainable development of companies through the improvement of the management of their operational risks based on responsible HRM. The managerial significance is that the proposed recommendations from the authors for the practical implementation of the optimistic scenario can be milestones for companies and can be used to improve the practice of operational risk management of companies.
Evaluating Daily Water Stress Index (DWSI) Using Thermal Imaging of Neem Tree Canopies under Bare Soil and Mulching Conditions
Authors: Almeida Thayná A. B. , Montenegro Abelardo A. A. , da Silva Rodes A. B. , de Lima João L. M. P. , Carvalho Ailton A. de , da Silva José R. L.
Published: July 2024

Water stress on crops can severely disrupt crop growth and reduce yields, requiring the accurate and prompt diagnosis of crop water stress, especially in semiarid regions. Infrared thermal imaging cameras are effective tools to monitor the spatial distribution of canopy temperature (Tc), which is the basis of the daily water stress index (DWSI) calculation. This research aimed to evaluate the variability of plant water stress under different soil cover conditions through geostatistical techniques, using detailed thermographic images of Neem canopies in the Brazilian northeastern semiarid region. Two experimental plots were established with Neem cropped under mulch and bare soil conditions. Thermal images of the leaves were taken with a portable thermographic camera and processed using Python language and the OpenCV database. The application of the geostatistical technique enabled stress indicator mapping at the leaf scale, with the spherical and exponential models providing the best fit for both soil cover conditions. The results showed that the highest levels of water stress were observed during the months with the highest air temperatures and no rainfall, especially at the apex of the leaf and close to the central veins, due to a negative water balance. Even under extreme drought conditions, mulching reduced Neem physiological water stress, leading to lower plant water stress, associated with a higher soil moisture content and a negative skewness of temperature distribution. Regarding the mapping of the stress index, the sequential Gaussian simulation method reduced the temperature uncertainty and the variation on the leaf surface. Our findings highlight that mapping the Water Stress Index offers a robust framework to precisely detect stress for agricultural management, as well as soil cover management in semiarid regions. These findings underscore the impact of meteorological and planting conditions on leaf temperature and baseline water stress, which can be valuable for regional water resource managers in diagnosing crop water status more accurately.
Fast Robust Point Cloud Registration Based on Compatibility Graph and Accelerated Guided Sampling
Authors: Wang Chengjun , Zheng Zhen , Zha Bingting , Li Haojie
Published: July 2024

Point cloud registration is a crucial technique in photogrammetry, remote sensing, etc. A generalized 3D point cloud registration framework has been developed to estimate the optimal rigid transformation between two point clouds using 3D key point correspondences. However, challenges arise due to the uncertainty in 3D key point detection techniques and the similarity of local surface features. These factors often lead to feature descriptors establishing correspondences containing significant outliers. Current point cloud registration algorithms are typically hindered by these outliers, affecting both their efficiency and accuracy. In this paper, we propose a fast and robust point cloud registration method based on a compatibility graph and accelerated guided sampling. By constructing a compatible graph with correspondences, a minimum subset sampling method combining compatible edge sampling and compatible vertex sampling is proposed to reduce the influence of outliers on the estimation of the registration parameters. Additionally, an accelerated guided sampling strategy based on preference scores is presented, which effectively utilizes model parameters generated during the iterative process to guide the sampling toward inliers, thereby enhancing computational efficiency and the probability of estimating optimal parameters. Experiments are carried out on both synthetic and real-world data. The experimental results demonstrate that our proposed algorithm achieves a significant balance between registration accuracy and efficiency compared to state-of-the-art registration algorithms such as RANSIC and GROR. Even with up to 2000 initial correspondences and an outlier ratio of 99%, our algorithm achieves a minimum rotation error of 0.737° and a minimum translation error of 0.0201 m, completing the registration process within 1 s.
Spectroscopic Phenological Characterization of Mangrove Communities
Authors: Small Christopher , Sousa Daniel
Published: July 2024

Spaceborne spectroscopic imaging offers the potential to improve our understanding of biodiversity and ecosystem services, particularly for challenging and rich environments like mangroves. Understanding the signals present in large volumes of high-dimensional spectroscopic observations of vegetation communities requires the characterization of seasonal phenology and response to environmental conditions. This analysis leverages both spectroscopic and phenological information to characterize vegetation communities in the Sundarban riverine mangrove forest of the Ganges–Brahmaputra delta. Parallel analyses of surface reflectance spectra from NASA’s EMIT imaging spectrometer and MODIS vegetation abundance time series (2000–2022) reveal the spectroscopic and phenological diversity of the Sundarban mangrove communities. A comparison of spectral and temporal feature spaces rendered with low-order principal components and 3D embeddings from Uniform Manifold Approximation and Projection (UMAP) reveals similar structures with multiple spectral and temporal endmembers and multiple internal amplitude continua for both EMIT reflectance and MODIS Enhanced Vegetation Index (EVI) phenology. The spectral and temporal feature spaces of the Sundarban represent independent observations sharing a common structure that is driven by the physical processes controlling tree canopy spectral properties and their temporal evolution. Spectral and phenological endmembers reside at the peripheries of the mangrove forest with multiple outward gradients in amplitude of reflectance and phenology within the forest. Longitudinal gradients of both phenology and reflectance amplitude coincide with LiDAR-derived gradients in tree canopy height and sub-canopy ground elevation, suggesting the influence of surface hydrology and sediment deposition. RGB composite maps of both linear (PC) and nonlinear (UMAP) 3D feature spaces reveal a strong contrast between the phenological and spectroscopic diversity of the eastern Sundarban and the less diverse western Sundarban.
Deep Learning and Histogram-Based Grain Size Analysis of Images
Authors: Wei Wei , Xu Xiaohong , Hu Guangming , Shao Yanlin , Wang Qing
Published: July 2024

Grain size analysis is used to study grain size and distribution. It is a critical indicator in sedimentary simulation experiments (SSEs), which aids in understanding hydrodynamic conditions and identifying the features of sedimentary environments. Existing methods for grain size analysis based on images primarily focus on scenarios where grain edges are distinct or grain arrangements are regular. However, these methods are not suitable for images from SSEs. We proposed a deep learning model incorporating histogram layers for the analysis of SSE images with fuzzy grain edges and irregular arrangements. Firstly, ResNet18 was used to extract features from SSE images. These features were then input into the histogram layer to obtain local histogram features, which were concatenated to form comprehensive histogram features for the entire image. Finally, the histogram features were connected to a fully connected layer to estimate the grain size corresponding to the cumulative volume percentage. In addition, an applied workflow was developed. The results demonstrate that the proposed method achieved higher accuracy than the eight other models and was highly consistent with manual results in practice. The proposed method enhances the efficiency and accuracy of grain size analysis for images with irregular grain distribution and improves the quantification and automation of grain size analysis in SSEs. It can also be applied for grain size analysis in fields such as soil and geotechnical engineering.
Soil Organic Carbon Prediction Based on Vis–NIR Spectral Classification Data Using GWPCA–FCM Algorithm
Authors: Miao Yutong , Wang Haoyu , Huang Xiaona , Liu Kexin , Sun Qian , Meng Lingtong , Xu Dongyun
Published: July 2024

Soil visible and near–infrared reflectance spectroscopy is an effective tool for the rapid estimation of soil organic carbon (SOC). The development of spectroscopic technology has increased the application of spectral libraries for SOC research. However, the direct application of spectral libraries for SOC prediction remains challenging due to the high variability in soil types and soil–forming factors. This study aims to address this challenge by improving SOC prediction accuracy through spectral classification. We utilized the European Land Use and Cover Area frame Survey (LUCAS) large–scale spectral library and employed a geographically weighted principal component analysis (GWPCA) combined with a fuzzy c–means (FCM) clustering algorithm to classify the spectra. Subsequently, we used partial least squares regression (PLSR) and the Cubist model for SOC prediction. Additionally, we classified the soil data by land cover types and compared the classification prediction results with those obtained from spectral classification. The results showed that (1) the GWPCA–FCM–Cubist model yielded the best predictions, with an average accuracy of R2 = 0.83 and RPIQ = 2.95, representing improvements of 10.33% and 18.00% in R2 and RPIQ, respectively, compared to unclassified full sample modeling. (2) The accuracy of spectral classification modeling based on GWPCA–FCM was significantly superior to that of land cover type classification modeling. Specifically, there was a 7.64% and 14.22% improvement in R2 and RPIQ, respectively, under PLSR, and a 13.36% and 29.10% improvement in R2 and RPIQ, respectively, under Cubist. (3) Overall, the prediction accuracy of Cubist models was better than that of PLSR models. These findings indicate that the application of GWPCA and FCM clustering in conjunction with the Cubist modeling technique can significantly enhance the prediction accuracy of SOC from large–scale spectral libraries.
Hybrid Twins Modeling of a High-Level Radioactive Waste Cell Demonstrator for Long-Term Temperature Monitoring and Forecasting
Authors: Muñoz David , Thomas Anoop Ebey , Cotton Julien , Bertrand Johan , Chinesta Francisco
Published: July 2024

Monitoring a deep geological repository for radioactive waste during the operational phases relies on a combination of fit-for-purpose numerical simulations and online sensor measurements, both producing complementary massive data, which can then be compared to predict reliable and integrated information (e.g., in a digital twin) reflecting the actual physical evolution of the installation over the long term (i.e., a century), the ultimate objective being to assess that the repository components/processes are effectively following the expected trajectory towards the closure phase. Data prediction involves using historical data and statistical methods to forecast future outcomes, but it faces challenges such as data quality issues, the complexity of real-world data, and the difficulty in balancing model complexity. Feature selection, overfitting, and the interpretability of complex models further contribute to the complexity. Data reconciliation involves aligning model with in situ data, but a major challenge is to create models capturing all the complexity of the real world, encompassing dynamic variables, as well as the residual and complex near-field effects on measurements (e.g., sensors coupling). This difficulty can result in residual discrepancies between simulated and real data, highlighting the challenge of accurately estimating real-world intricacies within predictive models during the reconciliation process. The paper delves into these challenges for complex and instrumented systems (multi-scale, multi-physics, and multi-media), discussing practical applications of machine and deep learning methods in the case study of thermal loading monitoring of a high-level waste (HLW) cell demonstrator (called ALC1605) implemented at Andra’s underground research laboratory.
Vision Measurement System for Gender-Based Counting of Acheta domesticus
Authors: Giulietti Nicola , Castellini Paolo , Truzzi Cristina , Ajdini Behixhe , Martarelli Milena
Published: July 2024

The exploitation of insects as protein sources in the food industry has had a strong impact in recent decades for many reasons. The emphasis for this phenomenon has its primary basis on sustainability and also to the nutritional value provided. The gender of the insects, specifically Acheta domesticus, is strictly related to their nutritional value and therefore the availability of an automatic system capable of counting the number of Acheta in an insect farm based on their gender will have a strong impact on the sustainability of the farm itself. This paper presents a non-contact measurement system designed for gender counting and recognition in Acheta domesticus farms. A specific test bench was designed and realized to force the crickets to travel inside a transparent duct, across which they were framed by means of a high-resolution camera able to capture the ovipositor, the distinction element between male and female. All possible sources of uncertainty affecting the identification and counting of individuals were considered, and methods to mitigate their effect were described. The proposed method, which achieves 2.6 percent error in counting and 8.6 percent error in gender estimation, can be of significant impact in the sustainable food industry.
Multi-Adaptive Strategies-Based Higher-Order Quantum Genetic Algorithm for Agile Remote Sensing Satellite Scheduling Problem
Authors: Sun Xiaohan , Ren Yuan , Yu Linghui
Published: July 2024

The agile remote sensing satellite scheduling problem (ARSSSP) for large-scale tasks needs to simultaneously address the difficulties of complex constraints and a huge solution space. Taking inspiration from the quantum genetic algorithm (QGA), a multi-adaptive strategies-based higher-order quantum genetic algorithm (MAS-HOQGA) is proposed for solving the agile remote sensing satellites scheduling problem in this paper. In order to adapt to the requirements of engineering applications, this study combines the total task number and the total task priority as the optimization goal of the scheduling scheme. Firstly, we comprehensively considered the time-dependent characteristics of agile remote sensing satellites, attitude maneuverability, energy balance, and data storage constraints and established a satellite scheduling model that integrates multiple constraints. Then, quantum register operators, adaptive evolution operations, and adaptive mutation transfer operations were introduced to ensure global optimization while reducing time consumption. Finally, this paper demonstrated, through computational experiments, that the MAS-HOQGA exhibits high computational efficiency and excellent global optimization ability in the scheduling process of agile remote sensing satellites for large-scale tasks, while effectively avoiding the problem that the traditional QGA has, namely low solution efficiency and the tendency to easily fall into local optima. This method can be considered for application to the engineering practice of agile remote sensing satellite scheduling for large-scale tasks.
MF-Match: A Semi-Supervised Model for Human Action Recognition
Authors: Yun Tianhe , Wang Zhangang
Published: July 2024

Human action recognition (HAR) technology based on radar signals has garnered significant attention from both industry and academia due to its exceptional privacy-preserving capabilities, noncontact sensing characteristics, and insensitivity to lighting conditions. However, the scarcity of accurately labeled human radar data poses a significant challenge in meeting the demand for large-scale training datasets required by deep model-based HAR technology, thus substantially impeding technological advancements in this field. To address this issue, a semi-supervised learning algorithm, MF-Match, is proposed in this paper. This algorithm computes pseudo-labels for larger-scale unsupervised radar data, enabling the model to extract embedded human behavioral information and enhance the accuracy of HAR algorithms. Furthermore, the method incorporates contrastive learning principles to improve the quality of model-generated pseudo-labels and mitigate the impact of mislabeled pseudo-labels on recognition performance. Experimental results demonstrate that this method achieves action recognition accuracies of 86.69% and 91.48% on two widely used radar spectrum datasets, respectively, utilizing only 10% labeled data, thereby validating the effectiveness of the proposed approach.
Influence of Human Activity on Radon Concentration, Indoor Air Quality, and Thermal Comfort in Small Office Spaces
Authors: Szczepanik-Scislo Nina , Grządziel Dominik , Mazur Jadwiga , Kozak Krzysztof , Schnotale Jacek
Published: July 2024

This article focuses on the influence of occupants on the concentration of contaminants (radon Rn-222 and CO2) as well as the thermal comfort parameters. A series of sensors were placed to measure the concentration of the contaminants, temperature, and relative humidity in the test room at the Institute of Nuclear Physics PAN in Krakow (IFJ PAN), Poland. The test room is an office that is typical of the offices used in the facility. The occupants that used the space kept a detailed diary of their entry, exit, and number of people entering. The results showed that the accumulation of contaminants in such spaces may be severe and risks the health and safety of occupants. The accumulation of CO2 was extremely noticeable and did not diminish to the background level between the re-entry of the occupants to the office. The same was consistent for the radon concentration. The study shows how ventilation methods and small changes in occupant work strategy may influence the contaminant concentration within a test zone.
Balancing Environmental and Human Needs: Geographic Information System-Based Analytical Hierarchy Process Land Suitability Planning for Emerging Urban Areas in Bni Bouayach Amid Urban Transformation
Authors: Okacha Abdelmonaim , Salhi Adil , Abdelrahman Kamal , Fattasse Hamid , Lahrichi Kamal , Bakhouya Kaoutar , Mondal Biraj Kanti
Published: July 2024

Urbanization in Bni Bouayach, Morocco, threatens vital irrigated areas and agricultural land, raising concerns about environmental sustainability. This study employs a GIS-based Analytical Hierarchy Process (GIS-AHP) framework to assess land suitability for sustainable development. It addresses knowledge gaps in urban planning as follows: (i) Evaluating land suitability for sustainable development: this analysis identifies areas appropriate for urban expansion while minimizing environmental impact. (ii) Balancing environmental and human needs: the framework integrates ten criteria encompassing accessibility, economic, social, geomorphological, and environmental factors. This comprehensive approach results in a Land Suitability Map with five categories: prohibited/unfit, extremely unsuitable, moderately unsuitable, adequately suitable, and highly suitable. Notably, 39.5% of the area falls within the adequately suitable or highly suitable categories, primarily consisting of accessible bare lands and pastures. These findings provide valuable insights for policymakers to guide Bni Bouayach towards sustainable urban development, ensuring balanced growth that respects both environmental preservation and resident needs.
Non-Linear Impact of Economic Performance on Social Equity in Rail Transit Station Areas
Authors: Wan Tianyue , Lu Wei , Na Xiaodong , Rong Wenzhi
Published: July 2024

Rail transit station areas (RSAs) are heralded as a transformative approach to urban planning, emphasizing the integration of transportation, housing, and commercial development to foster sustainable and inclusive cities. This study presents a comprehensive exploration of the interplay between transit-oriented development (TOD) economic performance and social equity in RSAs, employing advanced methodologies, like eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAPs), to decipher the complex relationships between TOD characteristics and social equity outcomes. Focused on Dalian’s urban center, this study integrates diverse datasets, including mobile location, geospatial, and economic price data, to construct a nuanced analysis framework within the NPE (node–place–economic) model. The results indicate that economic factors significantly impact overall social equity, particularly influencing key variables, such as weekday and weekend commuter population densities. Local explanatory plots reveal that economic performance variables associated with transportation development exhibit a broad non-linear impact on social equity in RSAs. This study advances equitable urban development through TOD by stressing the importance of factoring in multiple variables in RSA planning. This approach is vital for creating synergistic effects, fostering equitable spatial planning, and has both theoretical and practical benefits for improving residents’ well-being.
Mechanisms of Media Persuasion and Positive Internet Word-of-Mouth Driving Green Purchasing Behavior: Evidence from China
Authors: Yu Zeng , Rosbi Sofian , Amlus Mohammad Harith
Published: July 2024

As environmental issues intensify, sustainability development is becoming mainstream, with environmental topics gaining increasing attention in the media and online. Shifting consumer behavior in China toward green purchasing is crucial for mitigating environmental pollution and achieving sustainable, low-carbon consumption. This study constructed a theoretical model combining media persuasion (MP) and positive internet word-of-mouth (PIM) with green purchasing behavior (GPB), based on the Stimulus–Organism–Response (SOR) and persuasion theories, to explore consumer responses to environmental information campaigns. A total of 357 valid samples were collected through an online questionnaire survey and subjected to analysis using the structural equation model (SEM). The results indicate that MP, PIM, and environmental attitude (EA) significantly influence GPB. Specifically, EA partially mediates the relationship between MP, PIM, and GPB, while environmental knowledge (EK) negatively moderates the relationship between independent variables and EA. Additionally, EK moderates the mediating effect of EA. The findings highlight that the effective implementation of MPs and PIMs can facilitate the creation of positive EA, which stimulates consumer GPB. This is essential for promoting sustainable consumption. This research contributes to sustainability by providing insights and practical suggestions for developing green marketing strategies that support environmental goals.
Inaccuracies and Uncertainties for Harmonic Estimation in Distribution Networks
Authors: Iqbal Muhammad Naveed , Kütt Lauri , Daniel Kamran , Shabbir Noman , Amjad Anas , Awan Abdul Waheed , Ali Majid
Published: July 2024

The proliferation of electronic loads has led to a substantial increase in harmonic emissions within low-voltage distribution networks. The accurate estimation of the expected levels of harmonics in a network is a daunting task for network operators. Stochastic-based harmonic estimation models can offer a comprehensive assessment of the expected levels of harmonics in the presence of existing and future loads, including electric vehicles and smart-grid-enabled devices. Such models offer a valuable tool for network operators to assess the potential impact of harmonics on future networks and to create sustainable design solutions to meet the increasing demand for electricity while achieving net zero targets. However, several variables associated with these estimations models involve a level of uncertainty due to their stochastic nature, leading to inaccuracies in the estimations. This paper aims to provide a more realistic estimate of these uncertainties in order to improve the outcomes of harmonic estimation models for the development of sustainable distribution networks.
Analysis of Topological Properties and Robustness of Urban Public Transport Networks
Authors: Xiao Yifeng , Zhong Zhenghong , Sun Rencheng
Published: July 2024

With the acceleration of urbanization, public transport networks are an important part of urban transport systems, and their robustness is critical for city operation. The objective of this study is to analyze the topological properties and robustness of an urban public transport network (UPTN) with a view to enhancing the sustainability of urbanization. In order to present the topological structure of the UPTN, the L-Space complex network modeling method is used to construct a model. Topological characteristics of the network are calculated. Based on single evaluation indices of station significance, a comprehensive evaluation index is proposed as the basis for selecting critical stations. The UPTN cascading failure model is established. Using the proportion of the maximum connected subgraph as the evaluation index, the robustness of the UPTN is analyzed using different station significance indices and deliberate attack strategies. The public transport network of Xuzhou city is selected for instance analysis. The results show that the UPTN in Xuzhou city has small-world effects and scale-free characteristics. Although the network has poor connectivity, it is a convenient means to travel for residents with many independent communities. The network’s dynamic robustness is demonstrably inferior to its static robustness due to the prevalence of cascading failure phenomena. Specifically, the failure of important stations has a wider impact on the network performance. Improving their load capacity and distributing the routes via them will help bolster the network resistance against contingencies. This study provides a scientific basis and strategic recommendations for urban planners and public transport managers to achieve a more sustainable public transport system.
Customized Approaches for Introducing Road Maintenance Management in I-BIM Environments
Authors: Bosurgi Gaetano , Pellegrino Orazio , Ruggeri Alessia , Rustica Nicola , Sollazzo Giuseppe
Published: July 2024

Road maintenance management aims to satisfy quality, comfort, and safety requirements for the various assets. To overcome delays and barriers in the widespread adoption of road management systems, the Building Information Modeling (BIM) approach may offer significant advantages as a convenient alternative for road maintenance management. Although existing BIM platforms are not fully equipped for this purpose, defining original modules and scripts can extend their capabilities, allowing for the handling of road condition information and maintenance management. In this context, this paper presents an operative framework designed to leverage BIM benefits for road maintenance management, particularly in terms of virtual inspection, asset condition assessment, and maintenance design. To achieve this, specific original and customized smart objects and routines were coded in I-BIM platforms, tailored to different scales, aims, and detail levels. These smart objects incorporate user-defined extended attributes related to pavement condition and maintenance planning (such as roughness, rutting, structural capacity). In particular, the authors have developed original virtual smart objects in different platforms, serving as “containers” for the survey information. These objects are adapted to display quality levels of the pavement segments in a realistic and user-friendly environment. Additionally, original routines were coded to automatically import survey data from external datasets and associate this information with the appropriate objects. This customized and extended approach, not available in commercial platforms, can effectively support maintenance operators.
Perencanaan Pembangunan SPAL dan IPAL untuk Sarana Peningkatan Kualitas Lingkungan di Industri Rajungan Desa Bulu
Authors: Agum Wahyu Prasetya  , Decky Rochmanto  , Nor Hidayati
Published: July 2024

Limbah di Industri Rajungan Desa Bulu Kabupaten Jepara belum bisa
dikelola dengan baik dikarenakan industri ini belum memiliki SPAL
dan IPAL. Limbah cair hasil pengolahan industri ini dialirkan langsung
ke laut yang menjadikan pencemaran laut. Tujuan perencanaan dari
Tugas Akhir ini adalah untuk mengetahui desain SPAL dan IPAL serta
RAB yang dibutuhkan dalam pekerjaan pembangunan SPAL dan IPAL
yang direncanakan di industri rajungan Desa Bulu. Hasil penelitian
pada teknis ini menunjukkan bahwa jumlah air limbah yang dihasilkan
pada saat proses pengolahan perhari rata-rata ialah 0,51 m3/hari atau
507,5 liter/hari atau 0,02 m3/jam. Sistem pengolahan yang sesuai untuk
diterapkan pada industri rajungan yaitu menggunakan sistem
anaerobic filter dengan lima unit pengolahan yaitu bak pemisah
minyak dan lemak, bak ekualisasi, bak pengendapan awal, anaerobic
filter dan bak pengendapan akhir. Berdasarkan perhitungan total biaya
perencanaan SPAL dan IPAL KUB. Berkah Samudra Rajungan Jepara
di Desa Bulu sebesar Rp. 56.500.000.
Foreign Economic Activity of Russian Regions in Modern Conditions
Authors: Терелецкова Е.В. , Ягафарова И.М.
Published: July 2024

Современная международная система взаимоотношений вызывает необходимость пересмотра внешнеэкономической деятельности многих государств. Задачей данной статьи является оценка современного состояния экспортной деятельности Российской Федерации, рассмотренная на примере внешнеэкономического развития Республики Башкортостан как субъекта, выступающего одним из активных участников современного внешнего рынка.

A modern international system of relations calls for a review of foreign economic activity of many states. The purpose of this article is to assess the current state of export activity of the Russian Federation, considered on the example of the external economic development of the Republic of Bashkortostan as a subject that is one of the active participants in the modern foreign market.
Alternative Marketing Strategies of Entrepreneurial Structures in the Sphere of Sanatorium-resort Services
Authors: Маликов Р.И. , Ямалетдинова З.Т.
Published: July 2024

В данной статье исследуется отрасль санаторно-курортных услуг и, в частности, маркетинговая деятельность предпринимателей, развивающих рекреационные проекты. Для развития в данном направлении начинающим бизнес-деятелям с особой ответственностью необходимо подходить к вопросам конкурентоспособности фирмы, уровень которой определяется не только качеством или количеством производимых услуг, но и правильным выбором маркетинговой альтернативы. Комплексный анализ методов продвижения позволил систематизировать элементы маркетинга санаторно-курортных услуг, определить группы эффективных стратегий-альтернатив и сформировать модель маркетинга-микс для сегмента рекреационных услуг.

This article examines the industry of sanatorium-resort services and, in particular, marketing activities of entrepreneurs, educational and recreational projects. To develop in this direction, novice business leaders with special responsibility need to approach the issues of competitiveness of the company, the level of which is determined not only by the quality or quantity of services produced, but also the right choice of marketing alternatives. A comprehensive analysis of the methods of promotion allowed us to systematize the elements of the marketing of sanatorium-resort services, identify effective group strategies-alternatives and to form a model of the marketing mix for a segment of the recreational services.
State Programs as a Tool of Strategic Planning of Rural Areas
Authors: Ковшов В.А. , Лукьянова М.Т. , Стовба Е.В.
Published: July 2024

В статье рассматриваются объем и структура финансового обеспечения государственных программ развития сельского хозяйства. Проанализировано место государственных программ в системе стратегического планирования. Систематизированы основные меры государственной поддержки. Оцениваются основные направления государственной поддержки в отрасли растениеводства и животноводства в регионах Приволжского федерального округа.

The article deals with the volume and structure of financial support of state programs for the development of agriculture. The place of state programs in the system of strategic planning is analyzed. The main measures of state support are systematized. The main directions of state support in the field of crop and livestock production in the regions of the Volga Federal district are evaluated.
Outsourcing as a New Form of Employment
Authors: Алиева П.Р. , Зияутдинова Г.Н.
Published: July 2024

Активное использование аутсорсинга в последние годы в разных сферах экономической деятельности порождает необходимость его системного исследования. В данной статье рассмотрено понятие аутсорсинга, систематизированы основные преимущества и недостатки его использования. Предложены основные направления развития аутсорсинга.

Active use of outsourcing in recent years in different areas of economic activity creates the need for its systematic study. This article discusses the concept of outsourcing, the main advantages and disadvantages of its using are systematized. The main directions of outsourcing development are proposed.
Main Directions of Development of Foreign Cooperation between Russia and USA
Authors: Лапатникова С.И. , Тахумова О.В. , Корочинская А.А.
Published: July 2024

В статье проводится анализ современного состояния внешнеэкономического сотрудничества между двумя наиболее значимыми в мировом сообществе государствами Российской Федерацией и Соединенными Штатами Америки. В ходе исследования были выявлены основные проблемы, препятствующие эффективному сотрудничеству вышеуказанных стран, а также определены новые направления, в рамках которых могут развиваться их деловые отношения.

The article analyzes the current state of foreign economic cooperation between the two most important countries in the world community the Russian Federation and the United States of America. The study identified the main problems hindering the effective cooperation of the above-mentioned countries, as well as identified new areas in which their business relations can develop.
Methodical Approach to Assessing the Efficiency of the Oilfield Services Company Business Model
Authors: Белошицкий А.В.
Published: July 2024

В статье предложен методический подход к оценке эффективности действующей бизнес-модели нефтесервисной компании с целью выбора направлений дальнейшего повышения ее экономической эффективности. Методический подход включает в себя алгоритм и набор показателей для оценки эффективности бизнес-модели.

The article proposes a methodical approach to assess the effectiveness of the current business model of an oilfield service company with the aim of choosing to increase the efficiency of its economic efficiency. Methodical approach includes an algorithm and a set of indicators for evaluating the effectiveness of a business model.
Methodological Basis for the Design of a Regional Sectoral Digital Platform
Authors: Мусина Д.Р. , Янгиров А.В. , Насырова С.И. , Харитонов С.В.
Published: July 2024

В статье изложена актуальность применения цифровых методов в управлении сельскохозяйственной отраслью региона. Сформированы цель и задачи проектирования отраслевой цифровой коммуникационной платформы. Представлены методы научно-исследовательской работы и ожидаемые результаты.

The article presents the relevance of the use of digital methods in the management of the agricultural sector in the region. The purpose and objectives of the design of the industry digital communication platform are formed. The methods of research work and the expected results are presented.
Study of the Influence of Context on the Activities of Enterprises by Hierarchical Analysis Methods
Authors: Гришин К.Е. , Маликов Р.И. , Тимирьянова В.М. , Лакман И.А. , Красносельская Д.Х.
Published: July 2024

В статье исследуются межрегиональные и межмуниципальные различия в деятельности предприятий. Методами иерархического (многоуровневого) анализа дисперсия показателей, характеризующих деятельность предприятий, раскладывается на региональный и муниципальный уровни. В результате расчетов, проведенных по данным 257 муниципальных образований 5 субъектов РФ, определена степень влияния регионального и муниципального контекста на достигаемые предприятиями результаты.

The article investigates interregional and intermunicipal differences in the activities of enterprises. By methods of hierarchical (multilevel) analysis, the dispersion of indicators characterizing the activities of enterprises is decomposed into regional and municipal levels. As a result of calculations carried out according to 257 municipalities of 5 subjects of the Russian Federation, the degree of influence of the regional and municipal context on the results achieved by enterprises is determined.
Development of Conceptual Approaches on Migration Management in Russia
Authors: Насырова С.И.
Published: July 2024

В статье обосновывается зависимость устойчивого социально-экономического развития Российской Федерации и актуальной миграционной политики. Автором формулируются концептуальные подходы (демографический, социальный и экономический) к определению ключевых направлений в отношении управления миграцией населения в России с точки зрения обеспечения социально-экономического развития страны.

The article substantiates the dependence of the sustainable socio-economic development of the Russian Federation and the relevant migration policy. The author formulates conceptual approaches (demographic, social and economic) to identify key areas in relation to the management of population migration in Russia in terms of ensuring the socio-economic development of the country.
State Information Policy of Executive Authorities: the Experience of the Republic of Bashkortostan
Authors: Ханнанова Т.Р. , Гарифуллина А.Ф. , Гильмутдинова Р.А. , Исламова Р.Р.
Published: July 2024

В статье рассматриваются проблемы формирования и реализации государственной информационной политики на примере Республики Башкортостан. Анализируются различные теоретические подходы к пониманию информационной политики государства. Формулируется авторское понятие государственной информационной политики субъекта Российской Федерации. Вносятся предложения по совершенствованию реализации информационной политики в Республике Башкортостан с учетом регионального опыта.

The article deals with the problems of formation and implementation of the state information policy on the example of the Republic of Bashkortostan. Various theoretical approaches to understanding the information policy of the state are analyzed. The authors concept of the state information policy of the subject of the Russian Federation is formulated. Proposals to improve the implementation of information policy in the Republic of Bashkortostan, taking into account regional experience.
On the Point of Forming Public Regional Servants’ Professional Competencies
Authors: Ахунов Р.Р. , Ислакаева Г.Р. , Низамутдинов Р.И. , Нурдавлятова А.И.
Published: July 2024

В статье рассмотрены вопросы реформирования государственной службы, профессионального развития госслужащих как ключевого элемента построения эффективной системы государственного управления. Аргументируется необходимость совершенствования подходов к повышению уровня профессионального развития госслужащих. Установлено, что в современных быстро меняющихся условиях требуется изменение соотношения компетенций в совокупном портфеле компетенций госслужащего. На основе результатов обобщенного анализа планируемых мероприятий реформирования кадровой системы государственной службы в регионах, а также изученного зарубежного опыта авторами предложена концептуальная схема перехода к новой модели компетенций госслужащих руководящего состава региона.

The article considers issues of reforming civil service, and professional development of public servants as a key element of effective public administration system building process. The necessity of perfecting approaches to improving the level of professional development of public servants is argued. It is being established that changes in the ratio of competences in the aggregate portfolio of civil servants competences are required in modern rapidly changing conditions. Based on the results of a generalized analysis of planned measures for reforming the civil service personnel system in the regions, as well as foreign experience, the authors propose a conceptual scheme for the transition to a new competency model for civil servants in the regions leadership.
Formation of the Optimal Structure of the Region’s Economy: Efficient Use of Human and Investment Potential
Authors: Бикмаева А.Д.
Published: July 2024

В статье рассмотрены структуры распределения среднегодовой численности занятых и инвестиций в основной капитал по видам экономической деятельности во взаимосвязи с отраслевой структурой в 2017 г. в Республике Башкортостан. Автором рассчитаны производительность труда и капиталоотдача по видам экономической деятельности региона.

The article describes the structure of the distribution of the average annual number of employees and investments in main capital by type of economic activity in conjunction with the industry structure in 2017 in the Republic of Bashkortostan. The author calculated labor productivity and capital productivity by types of economic activity in the region.
Professional Development of Personnel as a Tool to Ensure the Effective Operation of the Organization
Authors: Галина А.Э. , Евдокимова К.В.
Published: July 2024

В статье говорится о системе профессионального развития персонала как о процессе подготовки сотрудника к выполнению новых производственных функций, занятию новых должностных позиций, решению новых поставленных задач. В том числе приводится сравнение отечественного и зарубежного опыта, раскрывается суть ключевых составляющих системы развития персонала, а также выделяются современные проблемы и пути их решения.

The article refers to the system of professional development of personnel as the process of preparing an employee to perform new production functions, take new positions, solve new tasks. In particular, a comparison of domestic and foreign experience, reveals the essence of the key components of the personnel development system, as well as highlights the current problems and ways to solve them.
Event as a Powerful Instrument of Promotion
Authors: Хисматуллина Г.Г.
Published: July 2024

Специальное событие (event) является мощным инструментом коммуникационной политики. Оно с успехом используется для продвижения товара на рынок, для создания положительного имиджа организации. Неделя немецкого языка в Башкортостане как специальное событие способствует популяризации немецкого языка в учебных заведениях республики. Организаторы Недели успешно применяют технологии менеджмента в сфере культуры, а благодаря участвующим учреждениям есть преимущества в использовании ресурсов (помещения, персонал, финансы, время).

The event is a powerful instrument of promotion. It is successfully used for making / creating a positive image of a product or an organization. The republican forum The week of German in Bashkortostan assists in popularization of the German language with the help of cultural events. Techniques of cultural management are used in the organization and realization of The week of German in Bashkortostan events. Thanks to participant institutions a lot of privileges are found in the use of resources (rooms, personnel, finances and time).