bluuebunny/crossref_metadata_2025 huggingface dataset:
A Robust Tri-Electromagnet-Based 6-DoF Pose Tracking System Using an Error-State Kalman Filter
Authors: Dong Shuda , Wang Heng
Published: September 2024

Magnetic pose tracking is a non-contact, accurate, and occlusion-free method that has been increasingly employed to track intra-corporeal medical devices such as endoscopes in computer-assisted medical interventions. In magnetic pose-tracking systems, a nonlinear estimation algorithm is needed to recover the pose information from magnetic measurements. In existing pose estimation algorithms such as the extended Kalman filter (EKF), the 3-DoF orientation in the S3 manifold is normally parametrized as unit quaternions and simply treated as a vector in the Euclidean space, which causes a violation of the unity constraint of quaternions and reduces pose tracking accuracy. In this paper, a pose estimation algorithm based on the error-state Kalman filter (ESKF) is proposed to improve the accuracy and robustness of electromagnetic tracking systems. The proposed system consists of three electromagnetic coils for magnetic field generation and a tri-axial magnetic sensor attached to the target object for field measurement. A strategy of sequential coil excitation is developed to separate the magnetic fields from different coils and reject magnetic disturbances. Simulation and experiments are conducted to evaluate the pose tracking performance of the proposed ESKF algorithm, which is also compared with standard EKF and constrained EKF. It is shown that the ESKF can effectively maintain the quaternion unity and thus achieve a better tracking accuracy, i.e., a Euclidean position error of 2.23 mm and an average orientation angle error of 0.45°. The disturbance rejection performance of the electromagnetic tracking system is also experimentally validated.
Toward Economic Sustainability: Exploring Business Model Innovation in Servitization Transformation Enterprises through Resource Orchestration
Authors: Zhang Yiqun , Wang Hui , Wang Zhongjin , Han Fei , Liu Manzhi , Li Wentao
Published: September 2024

This paper studies the role of resource orchestration in promoting business model innovation in servitization transformation enterprises to achieve sustainable development. Taking Sany Heavy Industry as the research focus, a three-level evaluation index is constructed to identify the resources and capabilities that have a key impact in the process. Through the continuous decomposition and integration of resources and capabilities, the resource orchestration behavior of business model innovation in the process of enterprise service transformation is obtained. The research results reveal the strategic evolution from “acquisition–stabilization–mobilization” to “accumulation–enrichment–coordination”, and finally to “accumulation–pioneering–deployment”, which plays an important role in redefining servitization value creation and transforming business model logic. This research helps to understand how resource orchestration promotes business model innovation in the context of servitization transformation to achieve the sustainable development of enterprises.
Research on Energy Scheduling Optimization Strategy with Compressed Air Energy Storage
Authors: Wang Rui , Zhang Zhanqiang , Meng Keqilao , Lei Pengbing , Wang Kuo , Yang Wenlu , Liu Yong , Lin Zhihua
Published: September 2024

Due to the volatility and intermittency of renewable energy, the integration of a large amount of renewable energy into the grid can have a significant impact on its stability and security. In this paper, we propose a tiered dispatching strategy for compressed air energy storage (CAES) and utilize it to balance the power output of wind farms, achieving the intelligent dispatching of the source–storage–grid system. The Markov decision process framework is used to describe the energy dispatching problem of CAES through the Actor–Critic (AC) algorithm. To address the stability and low sampling efficiency issues of the AC algorithm in continuous action spaces, we employ the deep deterministic policy gradient (DDPG) algorithm, a model-free deep reinforcement learning algorithm based on deterministic policy. Furthermore, the use of Neuroevolution of Augmenting Topologies (NEAT) to improve DDPG can enhance the adaptability of the algorithm in complex environments and improve its performance. The results show that scheduling accuracy of the DDPG-NEAT algorithm reached 91.97%, which was 15.43% and 31.5% higher than the comparison with the SAC and DDPG algorithms, respectively. The algorithm exhibits excellent performance and stability in CAES energy dispatching.
Spatial Interaction Spillover Effect of Tourism Eco-Efficiency and Economic Development
Authors: Wang Qi , Tang Qunli , Guo Yingting
Published: September 2024

Tourism eco-efficiency (TEE) is a pivotal metric for assessing tourism’s sustainability and the balance between human activities and the environment, significantly influencing regional economic growth (RGDP). This research utilizes a comprehensive analytical framework, combining the Super SBM-DEA model, the Malmquist index, and spatial econometric models, to analyze the spatial interplay between TEE and RGDP within the Yangtze River Economic Belt (YREB) from 2009 to 2021. The results show that (1) TEE in the YREB exhibits a generally upward trajectory with fluctuations, with upstream and downstream regions consistently outperforming the midstream areas in terms of efficiency; (2) technological progress is identified as the primary driver behind efficiency variations; (3) and there exists a symbiotic relationship between local TEE and RGDP, where the economic prosperity of adjacent regions exerts a competitive pull on local TEE, while the TEE of neighboring areas can slow down local economic growth. The study concludes with strategic recommendations aimed at fostering regional collaborative advancement, offering valuable insights for the sustainable development agenda of nations and regions.
Identifying Critical Links in Degradable Road Networks Using a Traffic Demand-Based Indicator
Authors: Tu Qiang , He Han , Lai Xiaomin , Jiang Chuan , Zheng Zhanji
Published: September 2024

The primary traffic-based indicators for identifying critical links account for travel time, transportation efficiency, and traffic demand. These indicators are seldom applied to scenarios in which link capacity degradation occurs across the entire network. In addition, the commonly used traffic demand-based indicator, known as unsatisfied demand, can only work when there are disconnected origin–destination (OD) pairs in the network. In this context, this study incorporates the concept of a degradable road network to represent such scenarios and introduces a new network-wide traffic demand-based indicator, defined as late arrival demand (LAD), to identify critical links. Specifically, we built a late arrival rate (LAR)-based user equilibrium (UE) model to capture travel behavior and estimate the LAD in degradable road networks. Then, LAD and four other indicators were introduced to identify critical links in the framework of the LAR-based UE model. Finally, the Nguyen–Dupuis and Sioux Falls networks were employed for numerical experiments. The results, under various levels of traffic demand and degradation, demonstrate that LAD is a flexible and effective network-wide traffic demand-based indicator. This new approach provides insights that can help managers assess link criticality in degradable road networks from the perspective of traffic demand.
Economic Impacts of the Electric Road System Implementation on the Rotterdam–Antwerp Corridor
Authors: Aronietis Raimonds , Vanelslander Thierry
Published: September 2024

Electric road systems (ERSs) are a group of technologies that allow powering adequately equipped road transport vehicles with electricity from the road infrastructure while in motorway traffic. They can be categorised into three technology groups: overhead catenary, ground conductive, and ground inductive, depending on the mode of power transfer used. The supplied energy is used for propulsion and for charging the vehicle batteries to be used once the vehicle leaves the electrified road section. Also, another energy source, e.g., diesel, natural gas, or hydrogen, can be used while away from the ERS. This research investigates the potential impacts of implementing the different ERS technologies on the Rotterdam–Antwerp motorway corridor that links the two largest ports in Europe. The aim is to identify which of the routes between the ports is best suited for the implementation of an ERS, whether there are substantial differences in the economic performance of the different ERS technologies, determine what ERS vehicle traffic volumes are required and potentially available for successful implementation, what investment is required to build the system and whether the ERS operator can be profitable, and whether transport operators could operate their trucks on ERS profitability in this corridor setting. The research shows that the route between Rotterdam and Antwerp that runs on motorway E19 is the best to be electrified from an economic standpoint. Our calculations show that the traffic on the Rotterdam–Antwerp corridor is sufficient for economically justifying ERS infrastructure rollout and operation. For transport operators who happen to have specific client bases, e.g., those who usually serve clients from one of the ports along the electrified route, the construction of an ERS on the route could prove to be very lucrative if they adopt the technology early.
An AI-Based Evaluation Framework for Smart Building Integration into Smart City
Authors: Shahrabani Mustafa Muthanna Najm , Apanaviciene Rasa
Published: September 2024

The integration of smart buildings (SBs) into smart cities (SCs) is critical to urban development, with the potential to improve SCs’ performance. Artificial intelligence (AI) applications have emerged as a promising tool to enhance SB and SC development. The authors apply an AI-based methodology, particularly Large Language Models of OpenAI ChatGPT-3 and Google Bard as AI experts, to uniquely evaluate 26 criteria that represent SB services across five SC infrastructure domains (energy, mobility, water, waste management, and security), emphasizing their contributions to the integration of SB into SC and quantifying their impact on the efficiency, resilience, and environmental sustainability of SC. The framework was then validated through two rounds of the Delphi method, leveraging human expert knowledge and an iterative consensus-building process. The framework’s efficiency in analyzing complicated information and generating important insights is demonstrated via five case studies. These findings contribute to a deeper understanding of the effects of SB services on SC infrastructure domains, highlighting the intricate nature of SC, as well as revealing areas that require further integration to realize the SC performance objectives.
Poly-Methyl-Methacrylate Rods in Light-Transmitting Concrete: A Critical Investigation into Sustainable Implementation
Authors: Shenoy Adithya , Nayak Gopinatha , Tantri Adithya , Shetty Kiran K. , Maxwell Jasmin Anna , Pai B. H. Venkataram , Kudva Laxman P.
Published: September 2024

The development of special concrete focussed on sustainability and energy conservation has been approached through the use of recycled materials, novel techniques and processes, and materials that harness natural energy. This paper presents the results of one such study on the development of light-transmitting concrete using a novel polymeric transmitting media, poly-methyl-methacrylate, and a detailed analysis of the results obtained. Four variants based on the diameter and number of rods have been studied, with 5 and 10 mm diameter rods incorporated into 100 mm cube samples. A positive correlation between the area of rods and transmittance has been established; however, a loss in compressive and flexural strength was observed. Seasonal and monthly variation results indicate higher transmittance in summer, with the highest transmittance being observed in the month of May and the monsoon having the lowest transmittance, specifically in the month of July. The results of a case study of the application of the material have also been presented. The cost of construction has been studied, and the prediction of electricity consumption during operations has been carried out. The results have indicated the feasibility of use, even with the high initial cost. Variants have been shown to return the investments in a period of 7–31 years. Additionally, three of the four variants showed a sharp decrease in total CO2 emissions by eliminating the need for energy for daylighting and eliminating the consumption of electricity throughout the service life. Variants have been shown to return the investments in a period of 7–31 years. Additionally, three of the four variants show a sharp decrease in total CO2 emissions by eliminating the need for energy for daylighting and eliminating the consumption of electricity throughout the service life.
Closed-Form Exact Solution for Free Vibration Analysis of Symmetric Functionally Graded Beams
Authors: Ledda Lorenzo , Greco Annalisa , Fiore Ilaria , Caliò Ivo
Published: September 2024

The dynamic stiffness method is developed to analyze the natural vibration characteristics of functionally graded beams, where material properties change continuously across the beam thickness following a symmetric law distribution. The governing equations of motion and associated natural boundary conditions for free vibration analysis are derived using Hamilton’s principle and closed-form exact solutions are obtained for both Euler–Bernoulli and Timoshenko beam models. The dynamic stiffness matrix, which governs the relationship between force and displacements at the beam ends, is determined. Using the Wittrick–Williams algorithm, the dynamic stiffness matrix is employed to compute natural frequencies and mode shapes. The proposed procedure is validated by comparing the obtained frequencies with those given by approximated well-known formulas. Finally, a parametric investigation is conducted by varying the geometry of the structure and the characteristic mechanical parameters of the functionally graded material.
Multiplex PCR Approach for Rapid African Swine Fever Virus Genotyping
Authors: Licheri Matthias , Licheri Manon Flore , Mehinagic Kemal , Radulovic Emilia , Ruggli Nicolas , Dijkman Ronald
Published: September 2024

African swine fever virus (ASFV) has been spreading through Europe, Asia, and the Caribbean after its introduction in Georgia in 2007 and, due to its particularly high mortality rate, poses a continuous threat to the pig industry. The golden standard to trace back the ASFV is whole genome sequencing, but it is a cost and time-intensive methodology. A more efficient way of tracing the virus is to amplify only specific genomic regions relevant for genotyping. This is mainly accomplished by amplifying single amplicons by PCR followed by Sanger sequencing. To reduce costs and processivity time, we evaluated a multiplex PCR based on the four primer sets routinely used for ASFV genotyping (B646L, E183L, B602L, and intergenic I73R-I329L), which was followed by Nanopore ligation-based amplicon sequencing. We show that with this protocol, we can genotype ASFV DNA originating from different biological matrices and correctly classify multiple genotypes and strains using a single PCR reaction. Further optimization of this method can be accomplished by adding or swapping the primer sets used for amplification based on the needs of a specific country or region, making it a versatile tool that can speed up the processing time and lower the costs of genotyping during ASFV outbreaks.
A Morphometric Study on the Dimensions of the Vertebral Canal and Intervertebral Discs from Th1 to S1 in Cats and Their Relevance for Spinal Diseases
Authors: Richter Jessica , Mülling Christoph K. W. , Röhrmann Nicole
Published: September 2024

As part of the spine, the vertebral canal represents a central structure protecting the spinal cord running within it. Since alterations to the spinal canal and adjacent structures can have a significant impact on the spinal cord, knowledge of the physiological vertebral canal dimensions is essential. Compression of spinal nerves at the lumbosacral junction is the primary cause of cauda equina syndrome (CES). Although CES is common in dogs, it is rarely documented in cats. Given the lack of information on normal vertebral canal dimensions in cats, it is necessary to collect data and verify currently used measurements, to determine if and to what extent comparisons with dogs are valid. In 50 cats, interpedicular (ID) and midsagittal (SD) diameters were examined from the first thoracic (Th1) to the first sacral vertebra (S1). In 28 of these animals, the intervertebral disc width (IVDW) was measured. All data were gathered through gross anatomical dissection of the cats. Significant lumen reduction was evident in all cats from L6 to S1 with the narrowest point at S1. Narrowings were also found in the thoracic spine. The widest points coincide with the spinal cord enlargements. IVDW shows relatively constant values up to Th10–Th11 and peaks at L7–S1 in 95.65% of cats. While distinct similarities to dogs were observed, differences exist. The findings allow conclusions as to whether relations between the parameters and resulting predispositions to pathological changes can be derived. This could help the understanding of the pathogenesis of feline spinal diseases, particularly compressive myelopathies. Further studies are necessary to investigate the impact of age, sex and breed.
Flood Modeling of the June 2023 Flooding of Léogâne City by the Overflow of the Rouyonne River in Haiti
Authors: Louis Rotchild , Zech Yves , Joseph Adermus , Gonomy Nyankona , Soares-Frazao Sandra
Published: September 2024

Evaluating flood risk though numerical simulations in areas where hydrometric and bathymetric data are scarcely available is a challenge. This is, however, of paramount importance, particularly in urban areas, where huge losses of human life and extensive damage can occur. This paper focuses on the 2–3 June 2023 event at Léogâne in Haiti, where the Rouyonne River partly flooded the city. Water depths in the river have been recorded since April 2022, and a few discharges were measured manually, but these were not sufficient to produce a reliable rating curve. Using a uniform-flow assumption combined with the Bayesian rating curve (BaRatin) method, it was possible to extrapolate the existing data to higher discharges. From there, a rainfall–runoff relation was developed for the site using a distributed hydrological model, which allowed the discharge of the June 2023 event to be determined, which was estimated as twice the maximum conveying capacity of the river in the measurement section. Bathymetric data were obtained using drone-based photogrammetry, and two-dimensional simulations were carried out to represent the flooded area and the associated water depths. By comparing the water depths of 21 measured high-water marks with the simulation results, we obtained a Kling–Gupta Efficiency (KGE) and Nash–Sutcliffe Efficiency (NSE) values of 0.890 and 0.882, respectively. This allows us to conclude that even when only scarce official data are available, it is possible to use field data acquired by low-cost methodologies to build a model that is sufficiently accurate and that can be used by flood managers and decision makers to assess flood risk and vulnerability in Haiti.
Assessment of foreign and Russian experience in working with feedback channels
Authors:   Peoples’ Friendship University of Russia, Moscow, Zeveke O. Yu.
Published: September 2024

The article discusses aspects of the use of feedback channels by tourism and hospitality enterprises to improve the quality of services provided and increase sales through high-quality and prompt customer service. The analysis of feedback channels for Russian companies is carried out.
Some aspects of the souvenir industry in tourism
Authors:   Graduate School of Management, People’s Friendship University of Russia named after Patrice Lumumba, Moscow, Ivanyushin E. A. , Zeveke O. Yu. ,   Graduate School of Management, People’s Friendship University of Russia named after Patrice Lumumba, Moscow
Published: September 2024

The article considers the functioning of the souvenir market in modern tourism. The author’s classification of souvenir products is offered. The tendencies of the industry development and its further prospects are considered.
Enhancing China’s National Park Fund Guarantees: A Social-Ecological Game Model Approach
Authors: Qin Guangyuan , Zhang Sen , Yu Sifan , Kang Yuyao , He Anhua , Yu Chang
Published: September 2024

This study presents a novel tripartite evolutionary game model within a social-ecological system framework to address the challenge of securing sustainable operational funding for national parks while balancing social and ecological interests. The model engages 3 key stakeholders: government, public welfare organizations, and national park operators, highlighting their complex interdependencies. Findings indicate that cooperative strategies among stakeholders are more likely when appropriate incentives and penalties are applied and decrease with higher associated costs. The study recommends that policymakers implement diversified funding mechanisms, clarify fiscal responsibilities, and promote coordinated efforts between central and local governments. Additionally, reducing operational costs and barriers for public welfare organizations and park operators can enhance cooperative behavior. This research provides valuable insights for optimizing funding mechanisms for national parks and offers an innovative tool for the study of social-ecological systems.
Robust Meta-Model for Predicting the Likelihood of Receiving Blood Transfusion in Non-traumatic Intensive Care Unit Patients
Authors: Rafiei Alireza , Moore Ronald , Choudhary Tilendra , Marshall Curtis , Smith Geoffrey , Roback John D. , Patel Ravi M. , Josephson Cassandra D. , Kamaleswaran Rishikesan
Published: September 2024

Background:
Blood transfusions, crucial in managing anemia and coagulopathy in intensive care unit (ICU) settings, require accurate prediction for effective resource allocation and patient risk assessment. However, existing clinical decision support systems have primarily targeted a particular patient demographic with unique medical conditions and focused on a single type of blood transfusion. This study aims to develop an advanced machine learning-based model to predict the probability of transfusion necessity over the next 24 h for a diverse range of non-traumatic ICU patients.
Methods:
We conducted a retrospective cohort study on 72,072 non-traumatic adult ICU patients admitted to a high-volume US metropolitan academic hospital between 2016 and 2020. We developed a meta-learner and various machine learning models to serve as predictors, training them annually with 4-year data and evaluating on the fifth, unseen year, iteratively over 5 years.
Results:
The experimental results revealed that the meta-model surpasses the other models in different development scenarios. It achieved notable performance metrics, including an area under the receiver operating characteristic curve of 0.97, an accuracy rate of 0.93, and an F1 score of 0.89 in the best scenario.
Conclusion:
This study pioneers the use of machine learning models for predicting the likelihood of blood transfusion receipt in a diverse cohort of critically ill patients. The findings of this evaluation confirm that our model not only effectively predicts transfusion reception but also identifies key biomarkers for making transfusion decisions.
Reconfigurable Assembly of Planar Colloidal Molecules via Chemical Reaction and Electric Polarization
Authors: Chen Xi , Liu Xianghong , Khan Mohd Yasir , Yan Zuyao , Cao Dezhou , Duan Shifang , Fu Lingshan , Wang Wei
Published: September 2024

Colloidal molecules, ordered structures assembled from micro- and nanoparticles, serve as a valuable model for understanding the behavior of real molecules and for constructing materials with tunable properties. In this work, we introduce a universal strategy for assembling colloidal molecules consisting of a central active particle surrounded by several passive particles as ligands. During the assembly process, active particles attract the surrounding passive particles through phoresis and osmosis resulting from the chemical reactions on the surface of the active particles, while passive particles repel each other due to the electric polarization induced by an alternating current (AC) electric field. By carefully selecting particles of varying structures and sizes, we have assembled colloidal molecules of symmetric and asymmetric dimers, trimers, and multimers. Furthermore, the coordination number of these colloidal molecules can be regulated in real time and in situ by tuning the interaction forces between the constituent particles. Brownian dynamics simulations reproduced the formation of the colloidal molecules and validated that the self-assembly arises from chemically induced attraction and electrical dipolar repulsion. This strategy for reconfigurable colloidal assemblies poses the potential for designing adaptive micro-nanomachines.
Melatonin Induces Analgesic Effects through MT
2
Receptor-Mediated Neuroimmune Modulation in the Mice Anterior Cingulate Cortex
Authors: Wang Jian , Gu Junxiang , Ma Fujuan , Wei Yi , Wang Pan , Yang Shanming , Yan Xianxia , Xiao Yifan , Xing Keke , Lou Anxin , Zheng Liru , Cao Tingting , Zhu Dayu , Li Jinlian , Zhang Luoying , Li Yunqing , Chen Tao
Published: September 2024

Neuropathic pain (NP) represents a considerable clinical challenge, profoundly impacting patients’ quality of life. Presently, pharmacotherapy serves as a primary approach for NP alleviation, yet its efficacy often remains suboptimal. Melatonin (MLT), a biologically active compound secreted by the pineal gland, has long been associated with promoting and maintaining sleep. Although recent studies suggest analgesic effects of MLT, the underlying mechanism remains largely unknown, particularly its impact on the cortex. In this study, we induced an NP model in mice through spared nerve injury (SNI) and observed a considerable, dose-dependent alleviation in NP symptoms following intraperitoneal or anterior cingulate cortex (ACC) administration of MLT. Our findings further indicated that the NP management of MLT is selectively mediated by MLT-related receptor 2 (MT
2
R), rather than MT
1
R, on neurons and microglia within the ACC. Transcriptome sequencing, complemented by bioinformatics analysis, implicated MLT in the modulation of Gα(i) and immune-inflammatory signals. Specifically, MLT inhibited the excitability level of pyramidal cells in the ACC by activating the Gα(i) signaling pathway. Simultaneously, MLT attenuated M
1
polarization and promoted M
2
polarization of microglia, thereby mitigating the inflammatory response and type II interferon response within the ACC. These findings unveil a hitherto unrecognized molecular mechanism: an MLT-mediated neuroimmune modulation pathway in the ACC mediated by MT
2
R. This elucidation sheds light on the regulatory character of MLT in chronic nociceptive pain conditions, offering a prospective therapeutic strategy for NP management.
GROWTH OF YOUNG CATTLE OF BEEF BREED
Authors: Федотов А.С. , Гармаев Б.Д. , Тыхенова О.Г. , Гармаев Д.Ц.
Published: September 2024

В статье приведен анализ показателей роста и развития молодняка крупного рогатого скота мясных пород. Целью исследования было изучение живой массы подопытных бычков в разные периоды роста в сравнительном аспекте. Для изучения динамики весового роста при рождении, в 8 и 12 мес.; в 15 и 18 месяцев были отобраны по принципу аналогов 3 группы новорожденных бычков в зависимости от породной принадлежности. В I группу вошли бычки калмыцкой породы, во II – абердин-ангусской и в III – лимузинской породы. При этом подопытные животные находились в равных условиях содержания и на повышенном уровне кормления из расчета получения 800-900 граммов среднесуточного прироста живой массы. Результаты исследований свидетельствуют, что бычки разной породной принадлежности имели неодинаковую живую массу во все периоды выращивания и нагула. У бычков лимузинской породы, начиная с момента рождения и до конца периода выращивания, отмечалось преимущество по данному показателю. Такая же тенденция сохранилась по абсолютным, среднесуточным и относительным приростам. Следует также отметить разницу в энергии роста бычков калмыцкой и абердин-ангусской пород в пользу последних. Следовательно, подопытные бычки, выращенные по интенсивной технологии, в 18-месячном возрасте имели живую массу 436,2-534,1 кг, что соответствовало целям и задачам исследований.

The article provides an analysis of the indicators of growth and development of young beef cattle. The aim of the research was to study the live weight of experimental bulls in different periods of growth using the comparative aspect. The dynamics of weight growth at animals got birth at 8 and 12 months was studied; at 15 and 18 months 3 groups of bulls were selected according to the principle of analogues, depending on the breed. The 1st group included bulls of the Kalmyk breed, the 2nd one – Aberdeen-Angus, and the 3rd group contained Limousin breed. The experimental animals were under equal keeping conditions and at an increased level of feeding based on the receipt of 800-900 grams of average daily gain in live weight. The results of the research indicate that bulls of different breeds had unequal live weight during all periods of graziery and feeding. At calves of the Limousin breed, from the moment of birth to the end of the growing period, there was an advantage in this indicator. The same tendency continued in absolute, average daily and relative gains. It should be noted that the indicators of the growth energy at calves of the Kalmyk breed were higher than the same indicators of calves of the Aberdeen-Angus breed. Consequently, the experimental bull-calves grown according to the intensive technology at the age of 18 months had a live weight of 436,2-534,1 kg, which corresponded to the goals and objectives of the research.
SEPARATION FACTOR IN A VIBRATION - CENTRIFUGAL SUSPENSION FILTRATION UNIT
Authors: Дарханов А.И. , Раднаев Д.Н.
Published: September 2024

В данной публикации рассматривается актуальность использования в качестве корма для животных пивная дробина и процесс фильтрации суспензии в центробежном поле с применением поперечных осевых колебаний. Описывается один из основных параметров в теории динамического фильтрования как число Фруда , которое также носит название как фактор разделения фильтруемого материала на жидкую и густую фракции. Далее приводится анализ влияния динамических параметров установки – ротора, – частота колебаний, – амплитуда колебаний – на скорость фильтрования суспензии в силовом поле. В процессе проведенного теоретического анализа были получены численные значения фактора разделения фильтрата при использовании перепада сил, действующих на движущуюся суспензию по криволинейной полой лопасти на жидкую и густую фракции как без вибрации, так и с вибрацией, также уравнения скорости фильтрования суспензии в силовом поле и производительности вибрационно-центробежной установки, зависящие от геометрических размеров высоты, длины, радиуса кривизны лопасти и кинематических параметров установки. Представлен вывод, учитывающий влияние динамических и геометрических параметров на процесс фильтрования. уравнение производительности.

he article discusses the relevance of the brewer’s spent grain usage as animal feed and the process of filtration of suspension in a centrifugal field using transverse axial vibrations. In the article, one of the main parameters in the theory of dynamic filtration is described as the Froude number Fr, which is also called a factor of separation of the filtered material into liquid and thick fractions. An analysis of the influence of the dynamic parameters of a unit - щ1 - the rotor frequency, щ2 - the frequency of vibrations, A - the amplitude of vibrations - on the filtration rate of the suspension in the force field is provided. After the theoretical analysis, numerical values of the filtrate separation factor on liquid and thick fractions without vibration and with vibration were obtained, under the usage of the difference of forces acting on a moving suspension along a curved hollow blade. Also, the equations of the filtration rate of the suspension in a force field and performance of a vibration-centrifugal unit depending on the geometric dimensions of height, length, the radius of curvature of the blade and the kinematic parameters of the unit are provided. A conclusion is presented that takes into account the influence of dynamic and geometric parameters on the filtering process and the performance equation.
PROSPECTS FOR THE DEVELOPMENT OF ECONOMIC RELATIONS BETWEEN RUSSIA AND CHINA
Authors: ХАРАКОЗ Ю.К.
Published: September 2024

В статье определены ключевые глобальные стратегические проекты России и Китая, а также выявлены перспективы расширения двухсторонних российско-китайских отношений. В рамках реализации совместных стратегических проектов формируется единая стратегия экономического развития, координация инфраструктурных проектов, установление льготных торговоэкономических режимов, усиление валютно-финансовой кооперации между странами-участницами. На современном этапе в сложившейся сложной мировой обстановке укрепление российско-китайского сотрудничества возможно также путем углубления энергетического сотрудничества, расширения товарной структуры и увеличения объемов товарооборота двух стран, увеличения доли национальных валют при проведении взаиморасчетов, расширения сотрудничества в области строительства инфраструктуры, наращивания инвестиционного взаимодействия между Россией и Китаем, а также путем продвижения военно-технического сотрудничества

The article identifies the key global strategic projects of Russia and China, and also identifies prospects for expanding bilateral Russian-Chinese relations. As part of the implementation of joint strategic projects, a unified strategy for economic development is being formed, coordination of infrastructure projects, establishment of preferential trade and economic regimes, and strengthening of monetary and financial cooperation between the participating countries. At the present stage, in the current difficult global situation, strengthening Russian-Chinese cooperation is also possible by deepening energy cooperation, expanding the commodity structure and increasing the volume of trade turnover between the two countries, increasing the share of national currencies in mutual settlements, expanding cooperation in the field of infrastructure construction, and increasing investment interaction between Russia and China, as well as by promoting military-technical cooperation.
ECONOMIC AND LEGAL FOUNDATIONS OF FOREIGN ECONOMIC RELATIONS RUSSIA AND CHINA WITHIN THE FRAMEWORK OF BRICS
Authors: ЦЕЛОВАЛЬНИКОВ Д.И.
Published: September 2024

В статье рассматриваются экономические отношения между Китаем и Россией, их текущее состояние, этапы развития, а также влияние БРИКС на формирование экономических и правовых основ между двумя странами. Освещаются исторические факторы, которые привели две страны к взаимовыгодному сотрудничеству. Анализируются современные тенденции в рамках мировой экономики. Отдельно исследуется динамика внешней торговли между Россией и Китаем. В заключении в статье рассматриваются перспективы развития БРИКС как организации с учетом современного положения.

The article examines economic relations between China and Russia, their current state, stages of development, as well as the influence of BRICS on the formation of economic and legal foundations between the two countries. The ways in which two countries identify common economic goals and form joint strategies for achieving them are analyzed. The current trends in the global economy are analyzed. The dynamics of foreign trade between Russia and China is studied separately. In conclusion, the article examines the prospects for the development of BRICS as an organization, taking into account the current situation.
RESEARCH OF THE STATE OF THE MAIN PRODUCTION ASSETS OF THE COMPANIES OF THE FUEL AND ENERGY COMPLEX OF RUSSIA
Authors: НЕКРЫЛОВА Н.В.
Published: September 2024

Значительная изношенность основных производственных фондов предприятий топливно-энергетического комплекса России приводит к снижению количества и качества продукции и услуг по нефте-, газои энергоснабжению, а, следовательно, к снижению конкурентоспособности и прибыли отечественного сектора ТЭК и всей национальной экономики в целом. Исследование состояния основных производственных фондов компаний ТЭК России произведено с использованием таких методов научного анализа, как: анализ динамики, метод сравнения, метод опроса. В итоге выявлена проблематика в политике инвестирования модернизации фондов ТЭК и основные направления ее решения.

Significant deterioration of the main production assets of enterprises of the fuel and energy complex of Russia leads to a decrease in the quantity and quality of products and services for oil, gas and energy supply, and, consequently, to a decrease in the competitiveness and profits of the domestic fuel and energy sector and the entire national economy as a whole. The study of the state of the main production assets of Russian fuel and energy companies was carried out using such methods of scientific analysis as: dynamics analysis, comparison method, survey method. As a result, the problems in the investment policy of modernization of fuel and energy sector funds and the main directions of its solution have been identified.
ROLE OF MACROECONOMIC FACTORS ON THE STABILITY AND DEVELOPMENT OF BANK SECTOR OF AZERBAIJAN REPUBLIC
Authors: МИРГАШИМЛИ Л.О.
Published: September 2024

Проблема влияния макроэкономических факторов на устойчивость банков, является актуальной в целом, и, также, для современного Азербайджанского государства. Автор исследует развитие рыночного механизма в банковском сегменте экономики, отражающего успешность функционирования всей финансово-кредитной системы. То, что банки являются питательным органом для любой национальной экономики, доказано всей историей их существования. От их слаженности и стабильности, зависит устойчивость современного государства. В статье раскрывается механизм адаптации финансового сектора Азербайджана к современным потребностям в высоко капитализированных финансовых институтах. Автор доказывает необходимость стремления к дальнейшему соответствию финансового института международным стандартам. Констатируя, что действующий институт финансирования, прошел стадию реформирования, автор приводит доводы о том, что развитие мировой экономики не стоит на месте, а диктует новые тренды для национальных государств. Авторский взгляд на существующую проблему постоянной адаптации к мировым стандартам, заключается в ориентации на дальнейшее совершенствование банковской деятельности и постоянном поиске нововведений.

The problem of the influence and role of macroeconomic factors on the stability of banks is relevant in general, and also for the modern Azerbaijan Republic. The author examines the development of the market mechanism in the banking segment of the economy, reflecting the successful functioning of the entire financial and credit system. The fact that banks are a nutritional organ for any national economy has been proven by the entire history of their existence. The stability of a modern state depends on their coherence and stability. The article reveals the mechanism for adapting the financial sector of Azerbaijan to modern needs in highly capitalized financial institutions. The author proves the need to strive for further compliance of a financial institution with international standards. Stating that the current financing institution has passed the stage of reform, the author argues that the development of the world economy does not stand still, but dictates new trends for national states. The author's view on the existing problem of constant adaptation to world standards is to focus on further improvement of banking activities and the constant search for innovations.
DEVELOPMENT OF PEASANT (FARM) ECONOMIES IN RUSSIA IN GENERAL FOOD SELF-SUFFICIENCY SYSTEM
Authors: КУЗЬМИЦКАЯ А.А. , КОРОСТЕЛЕВА О.Н. , ШМИДТ Ю.И.
Published: September 2024

В статье проведен анализ уровня самообеспечения России основными продуктами питания и исследования по удельному весу крестьянских (фермерских) хозяйств (К(Ф)Х) (включая индивидуальных предпринимателей) в решении этой проблемы. Проведен анализ удельного веса К(Ф)Х России в общем объеме производства сельскохозяйственной продукции, индексов производства продукции, состава и структура продукции сельского хозяйства, объемов производства отдельных видов продукции сельского хозяйства в крестьянских (фермерских) хозяйствах, удельный вес основных видов продукции сельского хозяйства крестьянских (фермерских) хозяйствах России, в общем объеме производства. Изучены основные направления государственной поддержки К(Ф)Х и индивидуальных предпринимателей производящих сельскохозяйственную продукцию.

The article analyzes the level of self-sufficiency in Russia with basic food products and studies the share of peasant (farm) households (K(F)H) (including individual entrepreneurs) in solving this problem. An analysis was carried out of the share of agricultural production in Russia in the total volume of agricultural production, production indices, composition and structure of agricultural products, production volumes of certain types of agricultural products in peasant (farm) farms, the share of the main types of agricultural products of peasants (farm) farms in Russia, in total production. The main directions of state support for farms and individual entrepreneurs producing agricultural products have been studied.
SMART AGRICULTURE AS THE MOST IMPORTANT DIRECTION OF CHINA'S MACROECONOMIC POLICY: CURRENT TRENDS AND APPROACHES
Authors: ЛИЛИ Ч. , БОРОДИН И.И.
Published: September 2024

Проблема обеспечения населения качественным, экологически безопасным, доступным по цене продовольствием является актуальной для многих стран мира, особенно для Китая. В связи с чем важнейшим макроэкономическим трендом развития национального хозяйства Китайской народной республики (КНР) является формирование высококачественного сельского хозяйства на основе методологии «умного сельского хозяйства». Умное сельское хозяйство, которое глубоко интегрирует современные технологии уже сыграло положительную роль в возрождении сельских районов Китая и борьбе с бедностью. Мир ускоряет создание умного сельского хозяйства. В данной статье показывается актуальное значение развития «умного» сельского хозяйства; подробно представлены меры Китая по продвижению «умного» сельского хозяйства в контексте возрождения сельских районов с точки зрения политического руководства, технологического развития и промышленного применения; выделяются практические проблемы, с которыми приходится сталкиваться. Были выдвинуты контрмеры и предложения, такие как стратегия развития талантов, централизованное освоение земель, усиление строительства сельской инфраструктуры и консолидация интеграции агрономии и интеллектуального оборудования.

The problem of providing the population with high-quality, environmentally safe, affordable food is relevant for many countries of the world, especially for China. In this connection, the most important macroeconomic trend in the development of the national economy of the People's Republic of China (PRC) is the formation of highquality agriculture based on the “smart agriculture” methodology. Smart agriculture, which deeply integrates modern technology, has already played a positive role in China's rural revitalization and poverty alleviation. The world is accelerating the creation of smart agriculture. This article explains the current importance of smart agriculture development and details China's efforts to promote smart agriculture. in the context of rural revitalization in terms of policy guidance, technological development and industrial applications, and suggests practical challenges to be faced. Countermeasures and proposals have been put forward, such as talent development strategy, centralized land development, strengthening rural infrastructure construction, and consolidating the integration of agronomy and intelligent equipment.
IMPROVING THE METHODS AND TOOLS OF STATE REGULATION OF AGRICULTURE ON THE EXAMPLE OF THE PENZA REGION
Authors: ЮНЯЕВА Р.Р. , КЛЕМАНОВА И.В.
Published: September 2024

В данной статье рассматривается актуальная проблема применения инструментов государственной поддержки в современных условиях ограничений. В дополнение к уже действующим методам и инструментам, необходимо внедрять более усовершенствованные меры, адаптированные к жестким экономическим условиям.

This article discusses the actual problem of using state support tools in modern conditions of restrictions. In addition to existing methods and tools, it is necessary to introduce more advanced measures adapted to harsh economic conditions.
FORMS AND CLASSIFICATIONS OF TYPES OF INTERNATIONAL INDUSTRIAL COOPERATION
Authors: АБСАЛЯМОВА С.Г. , ЛУПИН Г. , ЛЯНЬЯН С.
Published: September 2024

Статья посвящена актуальным вопросам развития форм международного промышленного сотрудничества, что представляется в работе как такого рода межгосударственных финансово-экономических коммуникационных процессов, дифференцированных по объектному составу. При этом выделяется, что вид международного промышленного сотрудничества представляет собой конкретный способ организации и осуществления такого рода сотрудничества в зависимости от некоторых внутренних или внешних факторов (временного, инновационного, аналитико-методического и др.

The article is devoted to topical issues of the development of forms of international industrial cooperation, which is presented in the work as this kind of interstate financial and economic communication processes, differentiated by object composition. At the same time, it is highlighted that the type of international industrial cooperation is a specific way of organizing and implementing this kind of cooperation, depending on some internal or external factors (temporary, innovative, analytical and methodological, etc.
ECONOMIC GROWTH AS A CRITERION FOR THE EFFECTIVENESS OF MONETARY POLICY
Authors: КОТЕЛЬНИКОВ Д.М.
Published: September 2024

В статье рассматриваются вопросы содержания и целей денежно-кредитной политики ЦБ РФ, в результате которого автор делает вывод о необходимости переориентации монетарной политики с таргетирования инфляции на таргетирование экономического роста.

The article discusses the content and objectives of the monetary policy of the Central Bank of the Russian Federation, as a result of which the author concludes that it is necessary to reorient monetary policy from targeting inflation to targeting economic growth.
THE STRUCTURE OF NETWORK INNOVATIONS IN THE REGIONAL ECONOMY: ANALYSIS, FORMS AND TYPES OF MANAGEMENT STRATEGIES
Authors: АБРОСИМОВА Т.Ф. , ЕРЕМЕНКО Н.В. , ПУПЫНИНА Е.Г. , ЛЕПШОКОВА Р.Р.
Published: September 2024

Перспективным направлением, способным повысить инновационно-технологическое развитие экономики, представляется создание сетевых форм организации инновационной деятельности. Сетизация, по многочисленным академическим исследованиям, выступает как перспективная структурная модель в бизнесе, обеспечивающая быстродействие в стимулировании инновационного (высокоэффективного) развития экономики, опережая другие интеграционные форматы.

The creation of network forms of organization of innovative activities is a promising area that can enhance the innovative and technological development of the economy. According to numerous academic studies, networking acts as a promising structural model in business, providing high-speed performance in stimulating innovative (highly efficient) economic development, ahead of other integration formats.