Design and analysis of an advanced thermal management system for the solar close observations and proximity experiments spacecraft

In this paper,the mission and the thermal environment of the Solar Close Observations and Proximity Experiments(SCOPE)spacecraft are analyzed,and an advanced thermal management system(ATMS)is designed for it.The relationship and functions of the integrated database,the intelligent thermal control system and the efficient liquid cooling system in the ATMS are elaborated upon.For the complex thermal field regulation system and extreme space thermal environment,a modular simulation and thermal field planning method are proposed,and the feasibility of the planning algorithm is verified by numerical simulation.A solar array liquid cooling system is developed,and the system simulation results indicate that the temperatures of the solar arrays meet the requirements as the spacecraft flies by perihelion and aphelion.The advanced thermal management study supports the development of the SCOPE program and provides a reference for the thermal management in other deep-space exploration programs.

Current controversies and advances in the management of pancreatic adenocarcinoma

Pancreatic adenocarcinoma is a lethal disease with a mortality rate that has not significantly improved over decades.This is likely due to several challenges unique to pancreatic cancer.Most patients with pancreatic cancer are diagnosed at a late stage of disease due to the lack of specific symptoms prompting an early investigation.A small subset of patients who are diagnosed at an early stage have a better chance at survival with curative surgical resection,but most patients still succumb to the disease in a few years.The dismal overall prognosis is due to suspected micro-metastasis at an early stage.Due to this reason,there is a recent interest in treating all patients with pancreatic cancers with systemic therapy upfront(including the ones that are surgically resectable).This approach is still not the standard of care due to the lack of robust prospective data available.Recent advancements in treatment regimens of chemotherapy,radiation and immunotherapy have improved the overall short-term survival but the long-term survival still remains poor.Novel approaches in diagnosis and treatment have shown promise in clinical studies but long-term clinical data is lacking.The following manuscript presents an overview of the epidemiology,diagnosis,staging,recent advances,novel approaches and controversies in the management of pancreatic adenocarcinoma.

Advances in telemedicine for the management of the elderly cardiac patient

Telemedicine is the use of information and communication technology to deliver healthcare at a distance.It has been resorted to during the COVID-19 pandemic to lessen the need for in-person patient care decreasing the risk of transmission,and it can be of benefit afterward in the management of cardiac disease.The elderly population has unique challenges concerning the use of telehealth technologies.We thus review the advances in telemedicine technologies in treating elderly cardiac patients including in our discussion only studies with a mean age of participants above 60.Remote monitoring of blood pressure,weight,and symptoms,along with home ECG recording has been found to be superior to usual in-clinic follow up.Combining remote monitoring with video conferencing with physicians,patient education websites,and applications is also of benefit.Remote monitoring of Implantable Cardioverter Defibrillators(ICD)and Cardiac Resynchronization Therapy Defibrillators(CRT-D)is also beneficial but can be at the cost of an increase in both appropriate and inappropriate interventions.Implantable sensing devices compatible with remote monitoring have been developed and have been shown to improve care and cost-effectiveness.New smartphone software can detect arrhythmias using home ECG recordings and can detect atrial fibrillation using smartphone cameras.Remote monitoring of implanted pacemakers has shown non-inferiority to in clinic follow up.On the other hand,small-scale questionnaire-based studies demonstrated the willingness of the elderly cardiac patients to use such technologies,and their satisfaction with their use and ease of use.Large-scale studies should further investigate useability in samples more representative of the general elderly population with more diverse socioeconomic and educational backgrounds.Accordingly,it seems that studying integrating multiple technologies into telehealth programs is of great value.Further efforts should also be put in validating the technologies for specific diseases along with the legal and reimbursement aspects of the use of telehealth.

Advanced Management in Dong Hetang Oil Field

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Advanced Oilfield Management for Sudan 1/2/4 Block

Sudan1/2/4blockisamajoroverseaspetroleumcontractingprojectforCNPC.AjointinvestmentgroupwasformedbyCNPCtogetherwithotheroilcompaniesfromCanada,MalaysiaandSudan.AChineseandaCanadianaretheleadersoftheproductionteam.Oftheteammembers,34arefromCNPC'ssubord...

An ATMS data-driven method for signalized arterial coordination

In order to minimize the delays and stops caused by the early started coordinated green phase of the vehicle- actuated signal systems, a stochastic offsets calculation method based on the new types of advanced traffic management system （ATMS） data is proposed. As the mainline green starts randomly in vehicle-actuated signal systems, the random theory is applied to obtain the distribution of the unused green time at side streets based on the green gap-out mechanism. Then, the green start time of the mainline can be selected at the point with maximum probability to minimize the delays or stops caused by the randomly started mainline green. A case study in Maine, USA, whose traffic conditions are similar to those of the middle-size Chinese cities, proves that the proposed method can significantly reduce the travel time and delays.

Costs and Benefits of Smart Grids on Liberalized Markets

The discussion about smart grid （SG） implementation is mostly focused on pilot projects. These projects are necessary for mapping of particular technical devices of advanced metering management （AMM） which is needed for successful SG and whole functional SG system operation. According to our opinion, for the next step of SG implementation, the participation of effective market design would be quite necessary. In other words, pilot project which is operated regardless to the market conditions and special SG tariff is incomplete and could be irrelevant for further evaluation of feasibility. With regard to above mentioned facts, the detailed cost-benefit-analysis （CBA） is needed to establish the correct methodology for evaluation of SG implementation effectiveness. Related aspects are mentioned and discussed in this paper, in which the particular cost and benefits as well as feedback that occurs as the reaction on implementation are summarized and quantified.

Advances in Management of Acute Promyelocytic Leukemia with Arsenic Trioxide

Acute promyelocytic leukemia （APL）, with specific features in cell morphology, is classified as M3 by French-American-British （FAB）. Among M3, 95% of patients show specific chromosome translocation t（15;17）q（22;21） with PML-RAR fusion gene, and 5% of patients show other subtypes. According to the statistical analysis of 2 540 adult acute myeloid leukemia （AML） cases in Harbin institute of Hematology ＆ Oncology, APL accounted for 23%.

Special issue: Advances and prospect of engineering management

As an important part of engineering domain,construction engineering and management focuses on studying the planning,execution and maintenance of civil and infrastructure projects.This special issue is composed based on a collection of research papers contributed by a group of leading experts,dedicating to providing a state-of-the-art development in construction management research.

Project Planning and Scheduling in the Face of the Fourth Industrial Revolution(4IR)

This paper addresses the integrated processes of planning and scheduling of projects using technologies advanced tools as means for managing change in the era of the 4IR.The paper explores the traditional project management planning and scheduling tools in conjunction with what technology has to offer,to bridge the gap between the traditional project management planning and scheduling tools and what the modern-day business market demands.An analysis of literature covering a wide range of theoretic and empirical studies was performed.The theories underlying various planning and scheduling methods were analysed in relation to the design of projects.A descriptive quantitative secondary data was used as a tool to assess the impact of technology on project planning for scheduling.The analysis of the study’s data was conducted using the principles of cross-tabulation.Inferences were drawn on the significant impact of the use of advanced technological tools on project planning for scheduling in current business time.Organisations can make use of the findings of this study to correctly apply the available advanced technological tools for more efficient schedule management planning to enhance the successful delivery of their projects.Further,this research can be used to provide learning opportunities for new and inexperienced planners and schedulers,and as a basis for further research in this field of knowledge.

Feature engineering methodology for congestion forecasting

Short-term traffic forecasting is a key element in proactive traffic management,e.g.,mitigating the negative effect of impending congestion through appropriate capacity allocation at signalized intersections.In this study,we develop a data-driven methodology for reliably and robustly predicting impending stable congestion.By incorporating feature engineering techniques into an iterative machine learning process,we develop a prediction model that can be intuitively understood by traffic experts and is amenable to diagnostics during implementation.Our iterative machine learning process combines the embedded and filter approaches for feature selection with the use of expert knowledge to create aggregative input variables.The embedded approach is represented by application of a decision tree algorithm,while the filter approach is reflected in use of the mean decrease in accuracy output of a random forest algorithm for identifying expressive variables.We tested the methodology by applying it to field data from a sub-network in Tel Aviv.We demonstrated a reduction in the number of decision tree input variables from 66 raw variables to the five most effective aggregative ones,while achieving statistically significant improvement in all performance indicators.The identification rate of stable congestion increased from 65%to 74%while the robustness of the results was enhanced:the standard deviations of the identification and false alarm rates fell from 8%to 3%,respectively,to 5%and 2%.