It datasets are widely utilized, shared, andrepurposed without providing enough context for understanding the decision-making processes that led to their creation. It is necessary to modify system creation and use pr...
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The wellbore instability of shale formations with micro fractures was mainly ascribed to drilling fluid invasion and pressure transmission during drilling using oil-baseddrilling fluids (OBdF). Nano-plugging agents o...
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The diagonal compressor is one of the important types of combined compressors for large-scale compressed air energy storage system (CAES). The off-design performance prediction is crucial in the research anddevelopme...
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At present, reliability calculation is mostly focused on the calculation of current years, and the calculation of planned years is often carried out using fuzzy estimation. The calculation methods are complex anddive...
At present, reliability calculation is mostly focused on the calculation of current years, and the calculation of planned years is often carried out using fuzzy estimation. The calculation methods are complex anddiverse, which is not conducive to the modular implementation of software. This article deeply analyzes the essence of reliability calculation based on the topology simplification model of power flow, and summarizes the parts related to the grid structure in its classic calculation formula as the grid coefficient. The parts related to the equipment are collected as the equipment coefficient, and the calculation is simplified based on practical applications. Then, based on the power gridresource business center anddata center, a centralized (microservices/micro applications) + collaborative computing framework construction model is adopted, integrating basic data such as reliability facility ledger, topology, and graph model, and obtaining important parameters such as fault rate and average recovery time of distribution grid equipment components. Based on simplified calculation formulas, a power supply reliability online calculation micro application module is developed, The calculation results can provide convenient data support forreliability management anddecision-making of distribution grids. This article also provides the specific implementation of software architecture design and interface display effects.
The objective of this research is to estimate the length of the grass and the condition of the ground when a robotic lawn mowerruns using the random Forest and Neural Network, and to change the running control accord...
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Nowadays, the issue of command security in the distribution network dispatching telephone command mode is becoming increasingly prominent, andrelevant personnel are paying more and more attention to the information s...
Nowadays, the issue of command security in the distribution network dispatching telephone command mode is becoming increasingly prominent, andrelevant personnel are paying more and more attention to the information security and accuracy when transmitting dispatching instructions to the distribution network, to prevent risks such as tampering, forgery, and theft of dispatching instruction information. The article first briefly analyzes the problems that exist in the telephone command mode during scheduling; Secondly, in response to the data security issues related to the issuance of instructions in the distribution network, based on cloud storage technology, the S-box is improved in the group encryption algorithm AES, and a chaotic system is introduced fordata sequence encryption. The improved AES algorithm is combined with the chaotic system to achieve confidentiality of both parties' codes and information transmission; Simultaneously introducing upper entropy, using entropy to randomly verify the completeness and accuracy of numbers or information; Finally, the effectiveness of this method was theoretically proven, achieving efficient communication of scheduling information and ensuring the confidentiality and accuracy of received scheduling instructions.
The oilfield associated water is complex in composition and poses significant hazards, necessitating treatment to prevent environmental pollution. Taking the Yingqian Treatment Station as an example, it processes appr...
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ISBN:
(纸本)9781959025498
The oilfield associated water is complex in composition and poses significant hazards, necessitating treatment to prevent environmental pollution. Taking the Yingqian Treatment Station as an example, it processes approximately 2,400m3 of waterdaily. Sampling and testing revealed that the total hardness of the water exceeds 20,000mg/L, with a Mg2+ concentration of about 1,200mg/L. Most importantly, the Li+ concentration reached 150mg/L, meeting the requirements for economic development (≥50mg/L). Consequently, relatedresearch and experiments were promptly initiated. Owing to the associated water's high total hardness and low lithium content, which significantly differ from saturated brine, traditional lithium extraction techniques cannot be directly applied. In response, research has identified that manganese-based adsorbents offer the advantage of high adsorption capacity, but require concentrated acid fordesorption. Conversely, bipolar membrane electrodialysis has the merit of producing lithium products with high purity;however, the byproduct concentrated acid is a hazardous chemical that necessitates properdisposal. Consequently, a combined technological approach has been proposed to leverage the strengths of both methods. The lithium extraction experiment from oil-gas field associated water at the YQ Treatment Station in China was conducted from May to June 2023, successfully producing 2.05kg of monohydrate lithium hydroxide from 116m3 of associated water. However, the experiment encountered numerous issues. For instance, the LiCl solution after a single desorption with HCl failed to meet the feed concentration requirements for subsequent processes. After extensive argumentation, the solution was adjusted by using a mixture of LiCl and HCl from the first desorption to replace HCl as the desorbent, and adjusting the desorption process from one stage to two, thereby increasing the LiCl concentration. The daily production of associated water in blocks such as Yi
Many countries have set targets for energy efficiency improvement and greenhouse gas emission reduction as measures against global warming. To achieve them, organizations are required to achieve their own targets. The...
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ISBN:
(数字)9784907764838
ISBN:
(纸本)9798331544461
Many countries have set targets for energy efficiency improvement and greenhouse gas emission reduction as measures against global warming. To achieve them, organizations are required to achieve their own targets. Therefore, energy management systems are becoming important for organizations. In the International Organization for Standardization (ISO), Technical Committee (TC) 301 developed ISO 50001: 2018 to establish requirements for improving energy performance and energy management system (EnMS) with a plan-do-check-act (PdCA) cycle. In this PdCA-cycle, organizations are required to improve systems before/after ISO 50001 implementation. To maintain organizations' motivation for the improvement activities, methods for assessing their improvements and showing their efforts are required. Therefore, the Japan Electronics and Information technology Industries Association (JEITA) suggested an international standard for assessing the energy management of organizations and has led the development project. In this study, the development of the international standard process including clarification of the background and current problems are explained. Furthermore, a consensus in ISO discussions is discussed and the outline of the published standard is described.
AZd1390 was identified as a highly potent, selective, small molecule inhibitor of ataxia telangiectasia mutated (ATM) kinase for use in combination with irradiation in the treatment of Glioblastoma Multiforme (GBM). M...
AZd1390 was identified as a highly potent, selective, small molecule inhibitor of ataxia telangiectasia mutated (ATM) kinase for use in combination with irradiation in the treatment of Glioblastoma Multiforme (GBM). Metabolism profiling in human hepatocytes and cytosol indicated that AZd1390 is a substrate for aldehyde oxidase (AO). recognising the historic failure of several AO substrates as therapeutics due to high first pass hepatic extraction and subsequently low oral bioavailability, AZd1390 was benchmarked against a range of known AO substrates in human liver cytosol (HLC) and hepatocytes and this data established AZd1390 clearance (Cl) was likely to be high, approaching liver blood flow. PBPK based simulations of animal PK predicted a high human volume of distribution (Vss) for this monobase, (∼19 L/kg) which, together with a predicted complete fraction absorbed, indicated an acceptable human oral profile to support sufficient target engagement was achievable. Whilst acknowledging a degree of uncertainty andrisk for this AO substrate, AZd1390 was progressed into the clinic to assess human exposure. Analysis of plasma from patients following a single oral AZd1390 dose of 40 mg confirmed the presence of a major AO dependent metabolite (M10) at comparable levels to AZd1390. The clinical oral PK of AZd1390 was comparable with the simulated high clearance (Cl b 15-20 mL/min/kg) profiles and supported continued progression of AZd1390. Furthermore, AZd1390 has shown brain penetrance in healthy volunteer positron emission tomography (PET) studies and is currently in GBM clinical trials. This work demonstrates AO substrates with suitable properties can achieve acceptable human PK.
Users' requests for the computing power often exhibit suddenness and unpredictability, which creates challenges for workload scheduling of computing power platforms. Traditional scheduling methods struggle to adap...
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ISBN:
(数字)9798350353174
ISBN:
(纸本)9798350353181
Users' requests for the computing power often exhibit suddenness and unpredictability, which creates challenges for workload scheduling of computing power platforms. Traditional scheduling methods struggle to adapt to such situations as they typically schedule based on real-time load conditions, ignoring long-term trends in load variations. To address these limitations, we propose a computing power scheduling method based on long-term workload prediction. First, we leverage a tree structure to aggregate temporal-spatial information from multi-variate operating time-series data, effectively describing the characteristics of workload on computing power platform. Building upon Informer, we employ residual mechanisms anddilated causal convolutions to extract deep features. Additionally, we integrate Wasserstein Generative Adversarial Network (WGAN) with Informer to accurately forecast future changes in workload for computing platforms, and introduce a novel training algorithm to enhance efficiency. We validate our method through experiments using real-world workloaddatasets, demonstrating the significant reduction in Mean Absolute Error (MAE) compared to LSTM. Furthermore, our model exhibits sensitivity to the length of encoder input sequences, indicating improved performance with longer series inputs.
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