bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on water hammer protection for a long-distance water supply system of a deep well pump group
Authors: Li Gaohui , Wu Xumin , Li Luming , Qiu Weixin , Cui Weijie 
Published: August 2021

Abstract
This paper is based on the hydraulic characteristics of the multi-pump group, high head, and small flow of a long-distance water supply system in a deep well pump group. Fisrtly a calculation analysis model is established, and then a non-water hammer protection measure is carried out for its typical controlled working condition system. The pressure distribution characteristics of the water supply system reveal that the hydraulic transition process of the water supply system of the deep well pump group is even worse. Then, according to its hydraulic characteristics, a cost-effective water hammer protection measure-a one-way surge tank and air valve combined protection plan was selected. Finally, the calculation and analysis of the hydraulic transition process of setting the system one-way surge tank and air valve joint protection plan are carried out. The calculation results show that the one-way surge tank and air valve combined to protect water hammer have a good effect on this water supply system. It provides a new idea for the water hammer protection setting of the long-distance water supply system of the deep well pump group with high water head and small flow.
Zoning based cascade infrastructure system design for urban waterlogging prevention
Authors: Tian Ziyang , Chu Junying , Wang Hao , Zhou Zuhao 
Published: August 2021

Abstract
With the development of global climate change and urbanization in China, urban waterlogging caused by rainstorm has a serious impact on the safety of people’s life and property and the development of social and economic. Based on the hydraulic model, taking Xining City as an example, a set of multi-layer flood prevention infrastructure construction technology system is proposed, in which the microscale-drainage-system mainly includes the sponge transformation of building blocks, the construction of sponge park; the mesoscale-drainage-system mainly includes the transformation of pipe system for different return periods, the transformation of combined flow and separate flow system; the macroscale-drainage-system mainly includes utility tunnel system, natural and artificial storage facilities. Through quantitative evaluation of rainstorm with 50 year return period, under the construction of microscale-drainage-system and mesoscale-drainage-system with different return period index, the total drainage capacity increased from 1.407 million m3 to 1.573 million m3 and 1.830 million m3. The total accumulated water is 1.073 million m3 and 0.816 million m3 respectively, which are less than 1.173 million m3 of macroscale-drainage-system new storage capacity.
Analysis of anomalies measured by the osmometer in a roller compacted concrete arch dam
Authors: Shidong Han , Yuanxian Li , Hanwei  
Published: August 2021

Abstract
The water permeability of the RCC dam layer and joint surface is high, which often becomes the main channel of dam body seepage, and its safety monitoring is important. Based on the monitoring data of the osmometer of a roller compacted concrete (RCC) arch dam, this paper analyzes the abnormal seepage pressure of the dam body, and introduces the relevant inspection and treatment scheme, which can provide a reference for the construction and operation of other RCC dams.
Discussion on Electricity Spot Market Mode Adapting to Large-scale Renewable Energy Consumption
Authors: Hongxia LI , Na LI , Xiangcheng ZHANG , Ying YANG , Guiyou XIAO , Xinyu MENG , Xue MA , Yuguo CHEN , Yuping WEI 
Published: August 2021

Abstract
With the implementation of the “Thirteenth Five-Year Plan”, the scale of my country’s renewable energy installed capacity continues to expand, and the responsibility for consuming renewable energy power is becoming higher and higher. Promoting the reform of the electricity spot market provides a good opportunity to realize the consumption of large-scale renewable energy. This article aims at the northwest region where renewable energy accounts for a relatively high proportion in my country, and clarifies the factors that inhibit the consumption of renewable energy. Based on the investigation of the typical foreign power spot market model, a power spot market model suitable for large-scale renewable energy is proposed. According to the actual data of a province’s power grid in the northwest region, the day-ahead spot market under different models was cleared separately. The results show that the centralized market model is more suitable for large-scale renewable energy grid-connected consumption, and is conducive to promoting energy conservation and emission reduction and reducing power generation costs.
Key components of integrated energy system’s source side and their influence on integrated energy system
Authors: Xie Pingping , Yi Xinyi , Mao Tian , Lu Siyu 
Published: August 2021

Abstract
Integrated energy supply and emerging new energy is a sign of transformation of energy system for environmental protection. This paper firstly models the key components of source side in integrated energy system. On the one hand, this paper models integrated energy supply and energy conversion devices involving multiple energy systems, on the other hand, it models new energy which is rapidly growing, so that all of these energy supply methods can serve the coordinated dispatch of integrated energy system. Then this paper focuses on CHP with heat storage which is a typical energy supply method involving both integrated energy supply and energy conversion. Through case study, we find that the heat storage system can bring friendly interaction between heat and power system, enhance the flexibility of integrated energy system, and decouple complex integrated energy system, so as to improve the social economic welfare.
Study on the willingness of energy conservation and emission reduction of university students in Wuhan under the background of “carbon peak” and “carbon neutral” strategy-Based on K-means clustering and principal component analysis
Authors: Xu Yihong , Hu Shujuan , Yu Rongxiao 
Published: August 2021

Abstract
An important means to achieve the goal of “carbon peak” and “ carbon neutral ” is energy conservation and emission reduction. It is an indispensable part of the vision of “carbon peak” and “ carbon neutral ” to study the willingness of college students to save energy and reduce emissions, understand the current situation of their awareness of conservation and advocate a green low-carbon lifestyle. On the basis of literature review, 642 samples of university students in Wuhan were investigated by using probability sampling, an evaluation system of college students’ willingness to save energy and reduce emission was established, SPSS was used for statistical analysis, and the reliability and validity were feasible. Based on K-means clustering analysis to analyze the cognitive characteristics of energy conservation and emission reduction of Wuhan college students, and based on the principal component analysis to comprehensively evaluate their willingness to save energy and reduce emissions, the conclusion is drawn that “it is feasible for college students to develop the willingness of energy conservation and emission reduction on the whole”.
Studies on cooling hours and switch temperature of cooling-tower cooling supply in Guizhou typical climate district
Authors: Su Ying , Hu Cheng , Li Lei , Mao Ruiyong 
Published: August 2021

Abstract
According to the meteorological parameters of Guizhou Province and the feasibility of developing cooling tower cooling in 4 typical cities and towns in thermal engineering districts, we found the following situation. First of all, if calculated according to the accumulated hours of 8,760 hours of wet bulb temperature below 14°C (including 14°C), Guiyang City (moderate area) has a total of 4327 hours, accounting for 49.39% of the total. Zunyi City (a region with hot summer and cold winter) has a total of 4469 hours, accounting for 51.02% of the whole year. For areas with hot summer and warm winter, such as Xingyi City (a hot winter and warm area), a total of 4404 hours, accounting for 50.27% of the whole year. Weining County (an area with cool summer and cold winter) has a total of 6792 hours, accounting for 77.53% of the total. In addition, if it is in winter (December, January and February), when the wet bulb temperature is 14°c, the cooling hours for Guiyang, Xingyi, Zunyi and Weining are 2152h, 2159h, 2130h, 2160h, which accounting for 97.46%, 99.95%, 98.61% and 100% of the cooling hours in winter. With the help of the above data, we can find that, first of all, these cities have little difference in the number of cooling hours in different climate zones in winter, and they all have the possibility of adopting cooling tower cooling technology. Secondly, in the transitional season, when the wet bulb temperature is 14°c as the switching temperature, the cooling hours of Guiyang, Xingyi, Zunyi and Weining are 2175h, 2232h, 2339h, 3858h, respectively. It can be said that these cities have the possibility of adopting cooling tower cooling technology. It is worth mentioning that in the transitional season, the cool summer and cold winter areas represented by Weining have more obvious advantages in climate and energy saving using cooling tower cooling technology.
Optimal Allocation of Distributed Energy Storage Capacity in Power Grid With High Proportion of New Energy
Authors: Jia Yunhui 
Published: August 2021

Abstract
In order to reduce the waste of power resources caused by unreasonable capacity allocation, an optimal allocation method of distributed energy storage capacity in power grid with high proportion of new energy is proposed. Taking wind and solar power generation as the research object, the wind power generation model is established by using Weibull algorithm, the photovoltaic power generation model is established by using beta algorithm, and the energy storage system model is constructed based on the state of energy storage device. The economic benefits of power grid are taken as the objective function to constrain the grid side, DG and energy storage. On this basis, the model parameters are optimized by using particle swarm optimization algorithm, Finally, the optimal configuration of distributed energy storage capacity is realized. The experimental results show that the proposed method can quickly calculate the optimal energy storage configuration under the condition of constant power shortage rate, and the reduced economic loss increases significantly with the increase of power shortage rate. It has a certain research value.
Real-time coordination optimization method of active distribution network considering different stakeholders
Authors: Sun Cheng , Su Shi 
Published: August 2021

Abstract
In order to reduce the impact of renewable energy output and load forecasting error on the network operation optimization and realize the mutual benefit and win-win situation of multiple stakeholders, a real-time coordination optimization method of active distribution network considering different stakeholders is proposed in this paper. Firstly, the daily real-time coordination and optimization framework of active distribution network is proposed. Then, the intraday real-time rolling two-level optimal scheduling model was solved by nonlinear particle swarm optimization and primal dual interior point method. The results of the calculation examples show that the proposed scheduling model and method can maximize the common interests of different subjects of the distribution network and flexible resources, so that the network can guarantee lower operating costs on the basis of safe operation.
A Machine Learning Approach to the Classification of Acute Leukemias and Distinction From Nonneoplastic Cytopenias Using Flow Cytometry Data
Authors: Monaghan Sara A , Li Jeng-Lin , Liu Yen-Chun , Ko Ming-Ya , Boyiadzis Michael , Chang Ting-Yu , Wang Yu-Fen , Lee Chi-Chun , Swerdlow Steven H , Ko Bor-Sheng 
Published: August 2021

Abstract

Objectives
Flow cytometry (FC) is critical for the diagnosis and monitoring of hematologic malignancies. Machine learning (ML) methods rapidly classify multidimensional data and should dramatically improve the efficiency of FC data analysis. We aimed to build a model to classify acute leukemias, including acute promyelocytic leukemia (APL), and distinguish them from nonneoplastic cytopenias. We also sought to illustrate a method to identify key FC parameters that contribute to the model’s performance.

Methods
Using data from 531 patients who underwent evaluation for cytopenias and/or acute leukemia, we developed an ML model to rapidly distinguish among APL, acute myeloid leukemia/not APL, acute lymphoblastic leukemia, and nonneoplastic cytopenias. Unsupervised learning using gaussian mixture model and Fisher kernel methods were applied to FC listmode data, followed by supervised support vector machine classification.

Results
High accuracy (ACC, 94.2%; area under the curve [AUC], 99.5%) was achieved based on the 37-parameter FC panel. Using only 3 parameters, however, yielded similar performance (ACC, 91.7%; AUC, 98.3%) and highlighted the significant contribution of light scatter properties.

Conclusions
Our findings underscore the potential for ML to automatically identify and prioritize FC specimens that have critical results, including APL and other acute leukemias.
Using Real-Time Area VOC Measurements to Estimate Total Hydrocarbons Exposures to Workers Involved in the Deepwater Horizon Oil Spill
Authors: Ramachandran Gurumurthy , Groth Caroline P , Huynh Tran B , Banerjee Sudipto , Stewart Patricia A , Engel Lawrence S , Kwok Richard K , Sandler Dale P , Stenzel Mark 
Published: August 2021

Abstract

Even though the Deepwater Horizon oil spill response and clean-up (OSRC) had one of the largest exposure monitoring efforts of any oil spill, a number of exposure groups did not have sufficient personal data available or there were gaps in days measured to adequately characterize exposures for the GuLF STUDY, an epidemiologic study investigating the health of the OSRC workers. Area measurements were available from real-time air monitoring instruments and used to supplement the personal exposure measurements.

Objectives
The objective was to present a method that used real-time volatile organic compounds (VOCs) area measurements transformed to daily total hydrocarbons (THC) time-weighted averages (TWAs) to supplement THC personal full-shift measurements collected using passive charcoal badges. A second objective was to develop exposure statistics using these data for workers on vessels piloting remotely operated vehicle (ROV) vessels and other marine vessels (MVs) not at the job title level, but at the vessel level.

Methods
From hourly vessel averages derived from ~26 million real-time VOC measurements, we estimated full-shift VOC TWAs. Then, we determined the relationship between these TWAs and corresponding full-shift THC personal measurements taken on the same vessel-day. We used this relationship to convert the full-shift VOC measurements to full-shift ‘THC’ TWA estimates when no personal THC measurements existed on a vessel-day. We then calculated arithmetic means (AMs) and other statistics of THC exposures for each vessel.

Results
The VOC-derived estimates substantially supplemented the THC personal measurements, with the number of vessel-days for which we have exposure estimates increasing by ~60%. The estimates of the AMs are some of the highest observed in the GuLF STUDY. As expected, the AMs decreased over time, consistent with our findings on other vessels.

Conclusions
Despite the inherent limitations of using real-time area measurements, we were able to develop additional daily observations of personal THC exposures for workers on the ROV vessels and other MVs over time. The estimates likely resulted in more representative estimates of the AMs in the GuLF STUDY. The method used here can be applied in other occupational settings and industries for personal exposure estimation where large amounts of area measurements and more limited numbers of personal measurements are available.
Theh-Restricted Connectivity of a Class of Hypercube-Based Compound Networks
Authors: Li Xiaowang , Zhou Shuming , Ma Tianlong , Guo Xia , Ren Xiangyu 
Published: August 2021

AbstractFor the multiprocessor systems modeled by interconnection networks, one of the important properties is the characterization of fault tolerability. Connectivity, as an important parameter to evaluate fault tolerability, has witnessed research achievements. To make the evaluation more practical, conditional connectivity has been promisingly proposed. As one kind of conditional connectivity, $h$-restricted connectivity of a connected graph $G$, denoted by $\kappa ^h (G)$, is defined as the cardinality of the minimum vertex cut set $F$ such that $\delta (G-F)\geq h$. In this paper, we establish a universally $h$-restricted connectivity for a class of hypercube-based compound networks, in which the well-known networks, such as hierarchical cubic network $HCN(n, n)$ and its generalization complete cubic network $CCN(n)$, are involved.
Intrastent haematoma after treatment with a drug-eluting balloon for in-stent restenosis: a case report
Authors: Hong Xu-Lin , Fu Guo-Sheng , Li Zhan-Lu , Zhang Wen-Bin 
Published: August 2021

Abstract

Background
Intrastent haematoma after dilatation of in-stent restenosis (ISR) is rarely reported and the optimal treatment for this condition remains unclear.

Case summary
We present the case of an 87-year-old man with in-stent subtotal occlusion of left circumflex. He experienced chest pain after drug-eluting balloon was released in the stent. Intravascular ultrasound revealed intrastent haematoma, which was not relieved with a cutting balloon but completely sealed by an Endeavor Resolute stent.

Discussion
Intrastent haematoma after dilatation of ISR is rare. Reimplantation of stent seems the best method to solve this problem. Intravascular ultrasound imaging may provide insight into the cause of ISR and guide the treatment.
Incidence, associated outcomes, and predictors of upper gastrointestinal bleeding following acute myocardial infarction: a SWEDEHEART-based nationwide cohort study
Authors: Sarajlic Philip , Simonsson Moa , Jernberg Tomas , Bäck Magnus , Hofmann Robin 
Published: August 2021

Abstract

Aims
Of all spontaneous bleeding complications in patients with acute myocardial infarction (MI), upper gastrointestinal bleeding (UGIB) is common and of specific interest since it could be prevented by several prophylactic measures. We aimed to determine the incidence, associated outcomes, and predictors of UGIB following acute MI.

Methods and results
All patients with acute MI enrolled in the SWEDEHEART (Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies) registry from January 2007 to June 2016 and discharged alive on any antithrombotic therapy (n = 149 477) were followed regarding UGIB for 1 year. Associated outcomes were determined by Cox proportional hazards regression with UGIB as a time-dependent covariate, adjusting for baseline characteristics, invasive treatment, and medical treatment at discharge. Predictors of UGIB were determined by logistic regression and machine learning models.
At 1 year, UGIB had occurred in 2230 patients (cumulative incidence 1.5%) and was significantly associated with an increased risk of all-cause death [hazard ratio (HR) 2.86, 95% confidence interval (CI) 2.58–3.16] and stroke (HR 1.80, 95% CI 1.32–2.45) but not with recurrent MI (HR 1.17, 95% CI 0.97–1.42). The most important predictors of UGIB were haemoglobin, age, systolic blood pressure, blood glucose, smoking status, previous upper gastrointestinal bleeding, and antithrombotic and gastroprotective treatment.

Conclusion
After acute MI, readmission because of UGIB is common and significantly associated with poor prognosis. By using machine learning in addition to traditional logistic regression, new predictors of UGIB, such as blood glucose and smoking status, were identified.
Vaccine-induced immune thrombotic thrombocytopenia: current evidence, potential mechanisms, clinical implications, and future directions
Authors: Marchandot Benjamin , Curtiaud Anais , Trimaille Antonin , Sattler Laurent , Grunebaum Lelia , Morel Olivier 
Published: August 2021

Abstract
Vaccine-induced immune thrombotic thrombocytopenia (VITT) (also termed thrombosis with thrombocytopenia syndrome or vaccine-induced thrombotic thrombocytopenia or vaccine-induced immune thrombocytopenia) is characterized by (i) venous or arterial thrombosis; (ii) mild-to-severe thrombocytopenia; (iii) positive antiplatelet factor 4 (PF4)–polyanion antibodies or anti-PF4–heparin antibodies detected by the HIT (heparin-induced thrombocytopenia) ELISA; (iv) occurring 5–30 days after ChAdOx1 nCoV-19 (AstraZeneca) or Ad26.COV2.S (Johnson & Johnson/Janssen) vaccination. VITT’s incidence is 1 per 100 000 vaccinated people irrespective of age and up to 1 in 50 000 for people &lt;50 years of age with the AstraZeneca COVID-19 vaccine. The exact mechanism by which adenovirus-vectored COVID-19 vaccines trigger this syndrome is still unclear, as for the increased risk for acute cerebral sinus venous thrombosis and splanchnic vein thrombosis as compared to other locations of venous thrombotic events. VITT is associated with the detection of anti-PF4 antibodies, unrelated to previous use of heparin therapy. PF4 antibodies are thought to activate platelets via the platelet FcγRIIA receptors leading to further platelet activation that causes thrombosis and thrombocytopenia.
Antibiotic prophylaxis based on individual infective risk stratification in cardiac implantable electronic device: the PRACTICE study
Authors: Malagù Michele , Vitali Francesco , Brieda Alessandro , Cimaglia Paolo , De Raffele Martina , Tazzari Enea , Musolino Cristina , Balla Cristina , Serenelli Matteo , Cultrera Rosario , Rapezzi Claudio , Bertini Matteo 
Published: August 2021

Abstract

Aims
In patients undergoing cardiac implantable electronic device (CIED) intervention, routine pre-procedure antibiotic prophylaxis is recommended. A more powerful antibiotic protocol has been suggested in patients at high risk of infection. Stratification of individual infective risk could guide the prophylaxis before CIED procedure.

Methods and results
Patients undergoing CIED surgery were stratified according to the Shariff score in low and high infective risk. Patients in the ‘low-risk’ group were treated with only two antibiotic administrations while patients in the ‘high-risk’ group were treated with a prolonged 9-day protocol, according to renal function and allergies. We followed-up patients for 250 days with clinical outpatient visit and electronic control of the CIED. As primary endpoint, we evaluated CIED-related infections. A total of 937 consecutive patients were enrolled, of whom 735 were stratified in the ‘low-risk’ group and 202 in the ‘high-risk’ group. Despite different risk profiles, CIED-related infection rate at 250 days was similar in the two groups (8/735 in ‘low risk’ vs. 4/202 in ‘high risk’, P = 0.32). At multivariate analysis, active neoplasia, haematoma, and reintervention were independently associated with CIED-related infection (HR 5.54, 10.77, and 12.15, respectively).

Conclusion
In a large cohort of patients undergoing CIED procedure, an antibiotic prophylaxis based on individual stratification of infective risk resulted in similar rate of infection between groups at high and low risk of CIED-related infection.