Resource Reservation Research Articles

Put an eye on the future: Rethinking the theoretical price of fossil energy based on the perspective of intergenerational equity

Discovering the true value of fossil energy resources can make full use of the price regulation leverage to adjust the energy structure, relieve carbon emissions, and gain more time for renewable energy to replace fossil energy. As exhaustible resources, the exploitation and consumption of coal, oil, and natural gas can directly affect the environment and resources reserve of future generations, which will directly destroy the fairness of intergenerational transmission. To make the price of fossil resources work better, the theoretical energy prices composed of production costs (PC), user costs (UC), environmental costs (EC), and especially intergenerational compensation costs (IC) are taken into consideration in this study. In addition, the study probes the impact of the theoretical and actual prices of fossil energy resources on carbon intensity with the path analysis method and detects the key paths. Results show that the theoretical price of natural gas is compensated the most, followed by coal and oil. From the result of intergenerational equity, the theoretical prices of coal and oil have higher impacts on carbon intensity than their actual prices, while the condition of natural gas is not the same. It is necessary for decision-makers to fully consider the characteristics of environmental damage, scarcity, and especially intergenerational compensation when repricing coal and oil price. Fortunately, the actual price of natural gas is the most effective for realizing the intergenerational equality target. It is crucial to put an eye on the future in reexamining fossil energy prices and formulating relevant emission reduction policies.

Evaluating the Applicability of Mainstream Wave Energy Converters in the South China Sea

Based on the past ten years of ERA5 wave field data, this study analyzed the distribution of wave energy resources in the coastal waters of each province around the South China Sea. In view of the single resource evaluation method, a regional classification method was established that comprehensively considered the three factors that impact wave energy resource reserves, the suitable water depth of the wave energy conversion device, and the device layout mode that affects energy absorption efficiency. From this information, the locations of key deployment stations around the coastal provinces were determined. Additionally, the CRITIC method was used to build indicators that can comprehensively evaluate the performance of different devices, and the most suitable devices for deployment in the five provinces were identified. The wave energy propagation direction of each key station was analyzed. The results show that the wave energy propagation direction of each station is relatively concentrated, which is convenient since this helps the device absorb and utilize energy more efficiently. Finally, the power generation performance and economic benefits of each key station’s most suitable device were analyzed. This article provides an assessment of the applicability of mainstream wave energy conversion devices in the nearshore area of the South China Sea, which is of great significance for the development and utilization of wave energy resources in the South China Sea’s nearshore waters. It provides a scientific basis for the selection, deployment, operation, and other practical operations of the follow-up devices in the South China Sea, as well as the power generation performance and economic benefits of the devices.

Validating resources curse hypothesis in US: Exploring the relevancy of financial market risk and technology innovation

Countries that have a higher reserve of resources tend to have less developed financial systems. The financial sector plays a vital role in facilitating the conversion of personal savings into business investment and the efficient allocation of limited resources, both of which contribute to economic expansion. Moreover, due to its size, and location, the United States of America possesses a variety of natural resources, including water, oil, gas, coal, farmland, land, coastlines, etc. However, theoretical forecasts for financial growth are conflicting for natural resource-rich countries. Hence this research is conducted to identify the role of Natural Resources (NTR), Technology Innovation (TIN), and Financial Market Risk (FMR) in light of the natural resource curse hypothesis for the USA. Through the application of Bootstrapped ARDL, the findings validate the existence of the resource curse, where TIN is also found to enhance the FD; however, the role of FMR is found to enhance the FD, which might be because of the geographical context of the US where people are assumed to be not risk averse and keep on their investing despite of prevailing market uncertainties. Besides, the identification of the nexus between the aforementioned variables in the presence of the resource curse hypothesis would help corporations and policymakers in developing strategies that can promote sustainable financial development.

Ethyl methanesulfonate mutant library construction in Neopyropia yezoensis to provide germplasm resources for next-generation genome-selection breeding

With the development of the laver industry, germplasm depression has become a serious issue, and current cultivars cannot adapt to different aquaculture regions. In order to increasing the genetic diversity and developing more germplasm sources, it is urgent and reasonable to construct a mutant library with more new germplasms. In this research, a mutant library was constructed by ethyl methanesulfonate (EMS)-mutagenized archeospores, and the most optimal treatment procedure was determined by performing different mutagen concentrations (2.25%) and treatment times (30 min). A total of 1860 haploid thalli were produced as the M1 mutant population and further cultured into conchocelis clones for the reservation of germplasm resources. Among these, 667 individual thalli were evaluated for their phenotypic traits, including thallus length, thallus width, length/width, thallus shape, photosynthesis ability, thallus color, thallus margin, and specific growth speed. The mutation frequency of the length/width ratio was 17.39%, Fv/Fm and NPQ were 21.84% and 29.35%, respectively, and SGR was 13.59%. The mutation frequency of thallus color was 0.91%. This work may not only provide a basic practical reference guide for EMS-based mutant library construction for other seaweeds but, more importantly, also serve as a valuable resource for functional genomics research and laver breeding.

Research on the security of China's oil resources supply based on the objective weight method

With the rapid development of China's economy, external dependence on petroleum resources continues to increase, and their security has become an important part of national security. To evaluate the security of China's petroleum resource supply in a scientific and objective manner, this study establishes a corresponding petroleum life-cycle evaluation index system, based on the theory and method of the whole life-cycle security evaluation of mineral resources, and conducts further independence and grey correlation analysis on the indexes for the purpose of evaluating the petroleum risk situation in China, based on relevant public data from the past 10 years. The results show that the overall trend of China's oil risk has a “U”-shaped characteristic of first decreasing and then increasing. Furthermore, the analysis finds that China's mineral resources have been greatly influenced by the domestic production situation and international trade. These results suggest that the security of petroleum supply can be improved by safeguarding international trade in petroleum resources, strengthening the strategic reserves of domestic petroleum resources, and developing new alternative clean energy sources to improve the resilience of petroleum supply security. This study's research methodology is more logical and systematic than traditional methods, and the analysis of the factors is comprehensive and of high application value, providing implications for the establishment of a big data analysis and evaluation index system for oil resource security.

LOGICAL METHODS OF FORECASTING ENVIRONMENTALLY SAFE HANDLING OF TECHNOSPHERE OBJECTS

The relevance of research in the field of environmental protection, ensuring the environmental safety of the life support of settlements, incl. construction and urban economy, as well as energy and resource saving, rational, eco-nomical, careful use of natural resources is predetermined by the modern course of the Russian state and society to-wards sustainable socio-economic development. The purpose of this study was the formation of necessary and suffi-cient conditions, predictive parameters and indicators of the transition of the life support system of technosphere ter-ritories to a resource-saving technological mode of environmentally safe life. To achieve this goal, for the first time the methods of logical and mathematical analysis were applied, which, according to the author's intention, implement the function of transition from the managerial and organizational and technical formulation of the problem to its mathematical formalization. The paper uses a new conceptual author's approach to the identification of technosphere objects not as sources of environmental and sanitary hazard, but as resource and raw material components of the re-production of material goods, taking into account the implementation of the strategic tasks of preserving the non-renewable strategic reserve of natural resources of the Russian Federation, protecting the population, components of natural environment and territories from unfavorable technospheric factors and environmental threats, possible emergency situations of a man-caused nature. Based on the results of the research, the paper solves the problem of logical analysis and forecasting of the parameters of environmentally safe life on the basis of resource-saving princi-ples of re-use of construction and other products that have completed their service life, were in use. The results of the work can be used in the formation of strategies, concepts, programs for sustainable socio-economic, environmental, industrial-technological, scientific and technical development of various sectors of the economy, municipalities and regions based on the transition to a resource-saving technological mode of environmentally safe life support for terri-tories.

A comparative analysis of the semi-persistent and dynamic scheduling schemes in NR-V2X mode 2

Over the last years, the evolution of Vehicle-to-Everything (V2X) services from basic safety-related to enhanced V2X (eV2X) applications prompted the development of the 5G New Radio (NR)-V2X technology. Standardized by the Third Generation Partnership Project (3GPP) in Release 16, NR-V2X features a distributed resource allocation mode, known as Mode 2, that allows vehicles to autonomously select their transmission resources employing a Semi-Persistent Scheduling (SPS) or a Dynamic Scheduling (DS) scheme. The SPS approach relies on the periodic reservation of resources, whereas the DS scheme is a reservation-less solution that forces the selection of new transmission resources for every generated message. 3GPP standards do not indicate under which conditions each scheduling scheme should be used. In this context, this study analyzes and compares the performance of SPS and DS under different traffic types and Packet Delay Budget (PDB) requirements. Simulation results demonstrate that the SPS scheme represents the best solution for serving fixed size periodic traffic, whereas DS is more adequate for aperiodic traffic (of fixed or variable size). The study shows that the superiority of DS over SPS becomes more evident when tighter PDB requirements are considered, and that the performance of the DS scheme is independent of the PDB. It is also demonstrated that an adaptive scheduling strategy, which allows vehicles to select the scheduling scheme that best suits the type of generated traffic, is the best solution in mixed traffic scenarios where fixed size periodic traffic and variable size aperiodic traffic sources coexist.

Digital twin empowered cooperative trajectory planning of platoon vehicles for collision avoidance with unexpected obstacles

Road obstacles that unexpectedly appear such as vehicle breakdowns and accidents, are major causes of fatal road accidents. Connected Autonomous Vehicles (CAVs) can be used to avoid collisions to ensure road safety through cooperative sensing and driving. However, the collision avoidance performance of CAVs with unexpected obstacles has not been studied in the existing works. In this paper, we first design a platoon-based collision avoidance framework for CAVs. In this framework, we deploy a Digital Twin (DT) system at the head vehicle in a platoon to reduce communication overhead and decision-making delay based on a proposed trajectory planning scheme. In addition, an DT-assistant system is deployed on the assistant vehicle to monitor vehicles out of the sensing range of the head vehicle for the maintenance of the DT system. In this case, the transmission frequency of kinetic states of platoon members to ensure low-overhead communication. Moreover, we design a variable resource reservation interval that can ensure DT synchronization between DT and the assistant system with high reliability. To further improve road safety, an urgency level-based trajectory planning algorithm is proposed to avoid unexpected obstacles considering different levels of emergency risks. Simulation results show that our DT system-based scheme can achieve significant performance gains in unexpected obstacle avoidance. Compared to the existing schemes, it can reduce collisions by 95% and is faster by about 10% passing by the unexpected obstacle.

HA-D3QN: Embedding virtual private cloud in cloud data centers with heuristic assisted deep reinforcement learning

The virtual network embedding problem is embedding virtual networks (VNs) in a substrate network so that revenue or accept ratio is maximized. Previous study usually assumes disclosed communication demand among the virtual nodes in a VN, mismatching real-world cloud computing scenarios. In this paper, we propose a new VN abstraction based on the widely used Virtual Private Cloud model, where internal communication demand is unknown to cloud providers. In contrast with the majority of existing research, we allow the co-location of the virtual nodes belonging to the same VN, and introduce the concept of switching capacity for practical resource reservation. We categorize the substrate resources in cloud data centers into additive and non-additive for the first time, and devise our algorithms accordingly. After formulating the problem, we propose a solution framework named HA-D3QN (Heuristic Assisted Dueling Double Deep Q Network). Essentially, HA-D3QN selects the best responses to different system states by combining the D3QN deep reinforcement learning structure and the candidate actions, which are generated by our proposed heuristic algorithms for addressing the exponentially large action space. Finally, we conduct extensive simulation experiments, the results of which verify the effectiveness of our approach.

Non-linear impact of natural resources, green financing, and energy transition on sustainable environment: A way out for common prosperity in NORDIC countries

In a couple of decades, the immense interest of scholars and policymakers is to identify the factors that support environmental sustainability without sacrificing economic well-being. Nordic countries with huge natural resource reserves are known as the top countries of the “European GDP per capita league table.” However, with the lofty climate targets, these countries are still responsible for environmental impairments through their incessant contribution to the global energy supply network. Therefore, to defeat this predicament, the study investigates the role of natural resources (NTR), green finance (GFN), green energy (GEC), and economic growth (GDP) in Nordic countries from 1990 to 2018. The study employed the novel quantile-based econometrics approach of “Method of the Moments Quantile Regression” (MMQR), which provides the direction and magnitude of the asymmetric association of NTR, GFN, GEC, and GDP with the ecological footprint. The results of this test revealed that the NTR and GDP have a significantly positive influence, while GEN and GEC have significantly negative associations with an ecological footprint across all quantiles. This has implied that green finance and green energy work as the solution, whereas natural resources and economic growth are key drivers of environmental degradation. Further, the “Augmented Mean Group” (AMG) and “Common Correlated Effect Mean Group” (CCEMG) are used as the robustness check, which endorsed the same association of NTR, GFN, GEC, and GDP with the EFP suggested by MMQR. Based on these findings, the study suggests policy implications for controlling the ecological footprint in Nordic countries.

Study on the Release Law of Phenol during Water-Oil Shale Interaction Process

Oil shale, as a reserve resource of conventional energy, has gradually attracted attention. However, water-rock interactions occur during in-situ shale oil extraction, and pollutants generated during this process can contaminate surrounding geological formations and groundwater environments. This article focuses on phenol produced by water-rock interactions and investigates the release behavior of phenol under different reaction temperatures and times, as well as how total organic carbon (TOC), total petroleum hydrocarbons (TPH), and pore size changes affect phenol. The study found that the release concentration of phenol increased with the increase in reaction temperature, reaction time, and the average pore size of the mineral. In addition, with the increase of TOC and TPH concentrations, the concentration of phenol also increased continuously.

Engineering and navigating calculation the flight of unmanned aircrafts of tactical class

The regulatory documents of the Ministry of Defense of Ukraine provide for navigational training of the crews of unmanned aircraft complexes and establish the necessity of having a navigational plan and an engineering-navigator flight calculation at the workplace of an external UAV pilot. The article notes that today there are no normative documents that would establish the content and scope of engineering and navigational calculations and methods of their implementation for unmanned aircraft complexes of tactical classes. The article as a whole is devoted to the consideration of issues of methodical support of navigator training of crews of unmanned aerial systems of the tactical class with an electric power plant. It is indicated that, based on the tactical and technical capabilities of UAVs of tactical classes, the nature of the tasks performed by them and the typical educational level of their external pilots, the creation of the most simplified methodology for performing basic engineering and navigational calculations of UAV flights is required. The mathematical complexity of such a method should not go beyond general secondary education. When performing navigational calculations of aircraft flights, the main difficulty is created by the problem of taking into account the influence of the wind. Simple algorithms for calculating the correction to the wind drift course, road speed and flight duration on straight sections of the route and sections of U-turns in the presence of wind are proposed. Algorithms for calculating the total need for energy resources for a flight along a given route and for separate sections of the route, including additional energy resource needs for sections of altitude gain, are proposed. Recommendations for evaluating the energy capacity of the battery available for flight performance are given. An algorithm for calculating the critical reserve of energy resources, which is necessary for the possibility of returning the UAV from the farthest point of the route under meteorological conditions for the scheduled flight time, is proposed. Options for full and abbreviated engineering and navigational calculations are offered.

Construction And Application Of Evaluation Index System For Pharmaceutical Supply Chain Resilience: A Delphi Study

The present study outlines a methodical methodology for developing an assessment index framework aimed at enhancing the resilience of the pharmaceutical supply chain. A preliminary version of the evaluation index system was established through a comprehensive review of literature and panel discussions. Two rounds of expert consultation were conducted using the Delphi method to finalize the indicators and their corresponding weights. The assessment criteria for pharmaceutical supply chain resilience comprises of ten primary indicators and sixty-two secondary indicators. These indicators encompass various facets such as the ability to design the supply chain, reserve resources, integrate processes, collaborate effectively, adopt eco-friendly practices, visualize data, and foster a culture of learning. The outcomes of the consultation conducted with experts reveal that the evaluation index system is reliable, as it demonstrates a significant level of attention, coordination, and authority among the experts. The determination of the weight of each indicator in the system was based on the relative significance of various factors in augmenting the resilience of the pharmaceutical supply chain. The development of an evaluation index system offers a systematic approach to evaluate and enhance the resilience of pharmaceutical supply chains, thereby providing a valuable scientific instrument. The results of this study hold potential value for various entities within the pharmaceutical industry, such as pharmaceutical companies, policymakers, and other stakeholders. Specifically, these findings may aid in the identification and resolution of potential weaknesses within the supply chain, the enhancement of management practices, and the fortification against external disruptions. Prospective investigations may center on the implementation of the assessment index system in practical scenarios, scrutinizing its soundness and dependability, and investigating methods to consistently enhance the robustness of pharmaceutical supply chains.

Exploratory Mapping of the Geothermal Anomalies in the Neoproterozoic Arabian Shield, Saudi Arabia, Using Magnetic Data

In this paper, certain areas of the Kingdom of Saudi Arabia (KSA) are assessed in order to map potential geothermal energy zones. To evaluate high-resolution aerial magnetic data, spectral depth analysis using a modified centroid approach was used. The calculated geothermal parameters were gridded in order to delineate the regions characterised by a shallow Curie point depth (CPD) and a high geothermal gradient (GG) as well as a high heat flow (HF). The CPD, GG and HF calculated from the analysed data varied in the ranges of 6.0–15.0 km, 40.0–100.0 °C/km and 90.0–270.0 mW/m2, respectively. The obtained results show the concurrence of the positions of shallow CPD (<8.0 km), high GG (>83.5 °C/km) and high HF (>211.0 mW/m2). The geothermal systems that are oriented in the E–W direction are related to the Red Sea tectonics, the tectonic opening of the Red Sea/Gulf of the Suez Rift, hot subterranean anomalies and high enthalpy from radioactive granites. Likewise, the geologic structures (fractures and faults) related to the Red Sea tectonics serve as channels for the movement of hydrothermal fluids and the deposition of associated minerals. All in all, another geophysical study involving deep boreholes, and seismic, magnetotelluric, electromagnetic and geochemical data should be conducted to evaluate and estimate precisely the economic reserves of geothermal resources.

Criminal Law Policy Against Illegal Logging as an Effort to Protect National Forest Areas (Study on Solok Protection Forest Management Unit)

The criminal act of illegal logging has been regulated in detail in Law Number 41 of 1999 concerning Forestry, although this law does not mention the existence of the term illegal logging. In an effort to improve ecological functions and restore natural resource reserves, the West Sumatra provincial government has made a policy to reduce the rate of forest destruction (per year) through efforts to reduce critical land area and maintain forest sustainability, including by protecting forests from illegal logging and forest fires that is the cause of forest destruction. The problems discussed in this study are (1) how is the criminal law policy carried out in the context of preventing and enforcing the law against illegal logging crimes? (2) what efforts can be made to enforce the law against illegal logging? This research is a legal research with analytical descriptive specifications. The approach used is the Normative Juridical approach as the main approach which is supported by the Empirical Juridical approach. The data used are secondary data and primary data collected through literature studies and interviews. The data obtained were analyzed qualitatively and presented in an analytical descriptive form. Based on the results of the discussion and analysis, it can be concluded that First, the Criminal Law Policy Implemented in the Context of Prevention and Enforcement of Illegal Logging is illustrated in the legal policy against illegal logging based on Law Number 41 of 1999 concerning Forestry which describes crimes in the forestry sector. as stated in Article 50 and Article 78, however regarding what is called a forestry crime is not formulated explicitly, giving rise to multiple interpretations in several circles. Second, law enforcement efforts against Illegal Logging crimes that can be carried out include harmonizing local regulations with Law Number 41 of 1999 concerning Forestry, imposing severe sanctions on perpetrators of illegal logging crimes, increasing coordination among law enforcement officials and with agencies. other related matters, Eradicating corruption through the application of Law Number 31 of 1999 as amended by Law Number 20 of 2001 concerning the Eradication of Corruption Crimes, Ensnare perpetrators of illegal logging in an integral (total) manner, and Adding facilities, infrastructure, and operational budget for handling illegal logging cases.

A review of key technologies in relation to large-scale clusters of electric vehicles supporting a new power system

The construction of a new power system based on new energy sources can support the successful transition of energy consumption toward a low-carbon environment. Large-scale clusters of electric vehicles (EVs) are an important reserve measure supporting the flexibility of the new power system. To summarize the roles of EVs as a reserve measure in practical engineering applications, in this study we analyze three essential elements of EV clusters: control of dispatching, participant behavior, and information communication. First, the characteristics of clusters of EVs that participate in power system operations were analyzed in terms of their physical resources, aggregation and control structure, dispatching strategies, and market mechanisms. Second, the importance of social factors was emphasized, and the limitations of computational and experimental simulation methods used in decision-making behavior research were confirmed. Next, the evolution of hybrid simulation methods integrating human participants, multi-agents, and mathematical models was analyzed. Finally, given the conflicting challenges of maintaining both the security and the economy of the communication network, we discussed the problems and potential solutions relating to full-domain communication coverage, spectrum resource interference, communication security, and customized priority design enabling large-scale clusters of EVs to gain access to the power grid from the perspective of the fusion of the public communication network and the dedicated communication network. The results of our study provide technical and economic reference points and a feasibility guarantee that enable more distributed reserve resources for power systems in various countries and regions.

Can energy efficiency and natural resources foster economic growth? Evidence from BRICS countries

The availability of natural resources has a significant impact on economic growth. Nevertheless, the ineffective utilization of these resources can lead to economic instability and conflict, in addition to poor economic performance. Despite abundant natural resources, several resource-rich countries, such as Brazil, Africa, and India, have not realized the benefits of their natural capital and have not reaped the benefits of their abundant natural resource reserves. This study examines the role of natural resource rent in effecting economic development is evaluated for Brazil, Russia, India, China and South Africa nations between the years 1990 and 2020 in the context of energy efficiency, financial risk, and technological innovation. To estimate the parameters, advanced econometric methods are utilized. According to the findings, natural resources have an effect that is counterproductive to the advancement of the economy. As a direct consequence, the resource curse argument can be validated for the sample nations. In addition, we found that improvements in technological innovation and energy efficiency both contributed positively to the expansion of the economy. On the other hand, the likelihood of financial loss is inversely proportional to economic development.

Highly selective separation of palladium from spent catalysts by ozonation with ultrasonic enhancement in a low-acid medium

It is of great significance to consider the recovery of palladium from spent catalyst in terms of resource reserve and environmental protection. However, the leaching percentage of palladium is limited by high oxidation potential and cladding layer. In order to solve this process problem, externalfield enhancementmethod with ultrasonic-assisted ozone is proposed for the recycling of palladium in this study. Mechanical and cavitation effects of ultrasonic can destroy cladding layer and promote solid–liquid interface reaction. The highly oxidizing free radicals generated by ultrasonic excitation of ozone can improve the oxidation of the reaction system and accelerate the oxidation rate of palladium. The leaching percentage of palladium is 93.7% under ultrasonic/ozone condition, which is 23.7% higher than that under conventional conditions. The leaching reaction kinetics shows that the reaction barrier is reduced and the apparent activation energy is reduced by 35.25 kJ/mol after introducing ultrasound and ozone. Additionally, mineralogical analysis is carried out to analyze the enhanced leaching mechanism of palladium. This work demonstrates the value of advanced oxidation process with ultrasonic-assisted ozone in efficient and green recovery of precious metals from secondary resources.

NREM sleep as a novel protective cognitive reserve factor in the face of Alzheimer's disease pathology

BackgroundAlzheimer’s disease (AD) pathology impairs cognitive function. Yet some individuals with high amounts of AD pathology suffer marked memory impairment, while others with the same degree of pathology burden show little impairment. Why is this? One proposed explanation is cognitive reserve i.e., factors that confer resilience against, or compensation for the effects of AD pathology. Deep NREM slow wave sleep (SWS) is recognized to enhance functions of learning and memory in healthy older adults. However, that the quality of NREM SWS (NREM slow wave activity, SWA) represents a novel cognitive reserve factor in older adults with AD pathology, thereby providing compensation against memory dysfunction otherwise caused by high AD pathology burden, remains unknown.MethodsHere, we tested this hypothesis in cognitively normal older adults (N = 62) by combining 11C-PiB (Pittsburgh compound B) positron emission tomography (PET) scanning for the quantification of β-amyloid (Aβ) with sleep electroencephalography (EEG) recordings to quantify NREM SWA and a hippocampal-dependent face-name learning task.ResultsWe demonstrated that NREM SWA significantly moderates the effect of Aβ status on memory function. Specifically, NREM SWA selectively supported superior memory function in individuals suffering high Aβ burden, i.e., those most in need of cognitive reserve (B = 2.694, p = 0.019). In contrast, those without significant Aβ pathological burden, and thus without the same need for cognitive reserve, did not similarly benefit from the presence of NREM SWA (B = -0.115, p = 0.876). This interaction between NREM SWA and Aβ status predicting memory function was significant after correcting for age, sex, Body Mass Index, gray matter atrophy, and previously identified cognitive reserve factors, such as education and physical activity (p = 0.042).ConclusionsThese findings indicate that NREM SWA is a novel cognitive reserve factor providing resilience against the memory impairment otherwise caused by high AD pathology burden. Furthermore, this cognitive reserve function of NREM SWA remained significant when accounting both for covariates, and factors previously linked to resilience, suggesting that sleep might be an independent cognitive reserve resource. Beyond such mechanistic insights are potential therapeutic implications. Unlike many other cognitive reserve factors (e.g., years of education, prior job complexity), sleep is a modifiable factor. As such, it represents an intervention possibility that may aid the preservation of cognitive function in the face of AD pathology, both present moment and longitudinally.

Analysis of Fault of Wind Turbine in Offshore Wind Farm

Accelerating advancement of a late-model electrical power system with new energy resources as the principal part is one of main measures to attain double-carbon goal. The international situation and policies have further promoted the rapid development of wind power. Because of massive reserves of wind energy resources in the sea area with its huge potential, development plan for wind power is gradually inclined to offshore wind power. In the article, offshore wind power’s advancement process and the typical topological structure of offshore wind farm access systems are described, the offshore wind farms’ problems existing in operation are classified and summarized, and the causes of the problems are analyzed from the perspective of wind turbine components or systems. And the directions worthy of further study are prospected, which can give support to the maintenance and overhaul for offshore wind turbines.