Research on the Policy of Introducing Young Talents to Hengqin -- Analysis Based on CGSS2021

This paper focuses on the research of policies for introducing young talents to Hengqin. Based on the national survey data CGSS2021, it conducts an in - depth analysis of the influencing factors of youth employment in China. Firstly, the paper expounds on the importance of the youth group to social development, especially their role in the construction of a diversified economy in Macau and the industrial development of the Hengqin - Macau In - depth Cooperation Zone. Subsequently, through the study of a national - scale dataset, it analyzes the impacts of factors such as socioeconomic background, demographic attributes, lifestyle, social trust, and social fairness on youth employment and entrepreneurship. Combining with the analysis of the current situation of the policies for introducing young talents to Hengqin, it puts forward relevant suggestions, such as creating a multi - channel employment promotion matrix, improving youth employment security, and paying attention to policy fairness. This research aims to provide a basis and suggestions for the further improvement of the youth talent policies in the Hengqin - Macau In - depth Cooperation Zone

Optimizing mash threshing quality through drum rotation frequency adjustment

The Case-2366 and Dominator-130 grain harvesters are mainly used in Uzbekistan to thresh the mung bean crop. The use of the Dominator-130 grain harvester shows that although the combine has low fuel consumption and crushes less straw, however, when the combine is working to thresh mung, the grain crushing exceeds the permissible norms (2%) and this in turn limits the wide use of the combine in harvesting mung. Taking this into account, the paper studies the effect of the rotation frequency of the threshing drum on the quality of threshing the grain mass of mung. The conducted studies show that for threshing mung bean grain the most suitable is a threshing drum with pin working elements, which at a rotation frequency of the threshing drum of 300 r/min provides under-threshing of grain from chips of 0.8%, and grain crushing of 0.6%, which corresponds to the requirements for grain separation through a deck of 73.4%

Geochemical criteria for identifying diamond-bearing areas

The paper demonstrates that diamondiferous objects may be pinpointed even by the middle-scale geochemical surveys. Relevant criteria were developed to identify and classify such objects by their prospectivity. The study materials are the results of geochemical surveys carried out in the Myunusyak area, Sakha-Yakutia, RF, in 2020-2022. The geochemical study was carried out by lithochemical sampling. Sampling was carried out on a scale of 1:200,000, i.e., the sampling interval varied between 1 and 1.5 km. The samples were analyzed by ICP-MS. The results of the study show the possibility of identifying potentially diamondiferous areas by geochemical methods identifying geochemical halos of kimberlite fields. The prerequisite for this was the idea of diamondiferous objects as areas of spatially close kimberlite bodies and associated host rock alterations. The products of their destruction form secondary halos and trains of indicator elements of kimberlite magmatism, which dimensions can significantly exceed the those of the pipes and are detectable by the medium-scale geochemical surveys. Using the criteria developed, produced an assessment of the diamond potential of the Myunyusyak area, Anabar Craton. A number of promising areas were identified by the authors, including one of especially high prospectivity

The Construction of Hierarchical Command Centers

The construction of hierarchical command centers realizes that in the process of emergency command development, each command center needs to operate independently, each level has different working conditions, and each level has different concerns. It is the independent work setting of emergency command centers at all levels. The collection of working environments can effectively empower the construction of a new generation of emergency command systems

Integrating Optical Draw-In Measurements with Finite Element Analysis for Enhanced Process Insights in Sheet Metal Forming

Accurate monitoring of draw-in behaviour during sheet metal forming is crucial for understanding material flow, optimizing process parameters, and validating finite element (FE) simulations. This study presents an integrated approach combining high-resolution optical measurement, laser displacement sensors, and numerical simulations to analyse draw-in variations during the first forming operation of an automotive front door inner panel. A dedicated optical system was employed to capture sequential images of the blank edge, which were calibrated and processed using computer vision techniques to extract precise draw-in values at predefined locations. The results demonstrate that optical monitoring provides reliable insights related to the sheet metal forming process, highlighting the influence of real-world process disturbances. Furthermore, the study explores the feasibility of integrating measured draw-in data into an adaptive control framework, applying artificial intelligence techniques to refine process stability. By utilizing experimental data alongside numerical predictions, this methodology enhances process understanding and enables data-driven decision-making in industrial sheet metal forming. The findings contribute to the development of intelligent forming control strategies, bridging the gap between modelling and real-world manufacturing conditions to improve product quality and production efficiency

Research on non-stop maintenance of sewage treatment system based on spatiotemporal redundancy regulation

To address the operational interruption during maintenance of sewage treatment systems, this study proposes a non-stop maintenance method based on spatiotemporal redundancy regulation (SRR). By analyzing the SRR characteristics of a tobacco manufacturing enterprise’s sewage treatment station (designed capacity: 2000 t/d; actual daily capacity: 899.68 t, load rate 45%; functional water tanks with dynamic regulation capacity of 25%-30%), a four-dimensional control strategy (“storage, retention, disposal, backup”) was designed to establish a five-stage water level linkage control process (FWLCP). Experimental results demonstrated that the low-flow operation scheme achieved a determination coefficient (R2=0.899), significantly outperforming the peak shaving scheme (R2=0.828). The post-maintenance chemical oxygen demand (COD) decreased from 23.86 mg/L to 20.24 mg/L (P=0.011, <0.05), aligning with the 95.2% COD removal rate of the Anaerobic-Anoxic-Oxic (A2/O) treatment process. Additionally, energy consumption during maintenance was reduced by 18.7% compared to traditional methods, validating the method’s dual advantages in system stability and water quality compliance

Sizing and Energy Management in an Islanded DC Microgrid

As the demand for renewable energy increases, microgrids (MGs) are emerging as a key solution for delivering reliable and sustainable power. A crucial aspect of microgrid development is optimal design, which involves siting and sizing generation, storage, and distribution components to enhance efficiency, cost-effectiveness, and reliability. This study focuses on an islanded DC microgrid that integrates wind turbines, photovoltaic (PV) panels, batteries, and a diesel generator. A bi-objective optimization approach is used to achieve two key goals: 1- Cost Reduction: Minimizing total costs, including gas consumption, operational expenses, and emissions. 2- Autonomy: Maximizing the use of renewable energy sources, including wind, PV, and battery storage. To determine the optimal size, 41 scenarios are analyzed, and the Euclidean distance equation is used to identify the optimal scenario and corresponding sizing parameters. These parameters are then applied to the microgrid, followed by the implementation of an energy management strategy to optimize resource scheduling. The problem is formulated as a Mixed-Integer Nonlinear Programming (MINLP) model and solved using the BARON solver. The results indicate that scenario 34 is the optimal solution, with a PV surface area (SPV) of 2285.22 m2, a wind turbine radius (RWT) of 8.961 m, and a battery capacity ( B) of 1090.839 kWh. This confirms that the optimized microgrid enhances energy independence, efficiently meets demand, and significantly reduces gas consumption, operational costs, and emissions

Stability α-glucosidase inhibitory activity of fermented milk using

Diabetes mellitus is a degenerative disease with increasing cases and mortality rates worldwide, including in Indonesia. One effective treatment for type 2 diabetes mellitus involves α-glucosidase inhibitors (AGI). Research has shown that hydrolyzed peptides in foods can have AGI properties. This study studied the resistance of AGI ability in fermented milk using bacterial isolates SR17B and L23 derived from AGI screening in BAL through human digestive tract simulation and during cold storage. Two strain Lactoplantibacillus L23 and SR17B which produced fermented milk with notable a-glucosidase inhibitory activity (35.15% and 35.94%, respectively) were used. The fermented milk underwent simulated gastrointestinal digestion with sequential exposure to pepsin for 3 hours, followed by bile salts and trypsin for 2 hours, and trypsin for 8 hours. Cold storage stability was tested at 4°C over 30 days. The bioactive peptides retained AGI activity after simulated digestion, although the inhibition levels declined. Similarly, AGI activity declined over the storage period but continued to exhibit significant inhibitory effects even after 30 days. Therefore, fermented milk could be a promising source of antihyperglycemic peptides and a dietary alternative for blood glucose management

Architectonics of A Biosafe World: The Cross-Border Aspect

The category of ecosystem is an integral part of the conceptual apparatus of all modern science and is considered multidisciplinary. In the modern world there are a huge number of threats, including biological ones, which cause irreparable damage to nature, ecology and destructively affect the state of humans, flora and fauna. Of course, the development of biotechnology carries risks for ecosystems, but no less danger lies in such a process as foreign trade between states. Cross-border movement of goods, such as live animals, plants, goods of plant origin, with violation of biological measures significantly disrupts the “biological health” of ecosystems. The analysis of the transboundary introduction of various types of “bioagents” and the consequences of this for the environment is presented. The authors propose some effective approaches to the development of a regulatory system that ensures the protection of ecosystems from transboundary penetration of biologically hazardous objects, which is defined as the “architectonics of transboundary biosafety”

Determinant of financial literacy in laying hens farmers

The ability of farmers to manage their finances and make sound financial decisions is referred to as financial literacy. Financial literacy of laying hens farmers is still relatively low. Some of the determinants that determine financial literacy are related to the demographic requirements of laying hens farmers including education, farming experience, income and working status. The research was conducted in five regencys, namely Gowa, Maros, Soppeng, Sidrap and Enrekang with a sample size of 123 people. The ANOVA is used to test the hypothesis at 5% significance level. The results of the research show that education, frequency of financial transactions, Making Expenditure and Receipt Records, and amount of income are factors that determine the financial literacy of laying hen breeders. This study is expected to be input for decision making and implementing strategies in an effort to increase the level of financial fraud among laying hens farmers