bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Path Optimization Problem Based on Satisfaction Degree in Fuzzy Demand Environment
Authors: Jin Chen Xia , Zhang Yan , Li Fa Chao 
Published: June 2021

Abstract
Aiming at the vehicle routing problem with fuzzy demand, this paper takes the fuzzy demand of the customer as the starting point, and first defines the demand satisfaction function; takes the maximum satisfaction and the minimum cost as the goal, constructs the fuzzy demand path optimization multi-objective planning model (MORG-FD), and the characteristics of MORG-FD are analyzed; combined with the actual case of a dairy product distribution for simulation analysis, considering the changes in the distribution plan under different demand parameters, and compared with the commonly used methods, the results show that MORG-FD has good structural characteristics, strong applicability, can provide a way of thinking for solving the problem of fuzzy demand vehicle routing, and can also provide guidance for actual distribution route planning.
Research on Vehicle Classification Method Based on Improved AlexNet
Authors: Zhu Bocheng , Zhang Mengfan , Yusu  , Hu Xinping 
Published: June 2021

Abstract
In the actual traffic intersection environment, vehicles adopted for traffic monitoring miss detection due to various reasons, and because the difference between different types of vehicles is very small, the traditional method cannot effectively distinguish the types of vehicles, and the deep learning image processing method can be used for automatic recognition of vehicle types. We propose an improved AlexNet[1] (ProAlexNet) intersection vehicle classification method by improving and reconstructing the hierarchy and parameters of the AlexNet convolutional neural network structure. In addition, we used a self-made high-quality vehicle category data set, which included 5000 pictures of cars, trucks, buses, motorcycles, and vans. In the experiment, we carried out comparative experiments on three indicators between ProAlexNet network and traditional AlexNet method, and carried out comparative experiments on three traditional recognition algorithms of ProAlexNet. Experimental results show that our improved algorithm has strong competitiveness.
Application of APRIORI correlation algorithm on music education curriculum association rules
Authors: Li Tianjiao 
Published: June 2021

Abstract
Association rules is a research direction of data mining. It can be used in all walks of life by analyzing the correlation of data items in a large amount of data to mine the internal connections between data items. The various professional courses in colleges and universities are independent of each other, and there is a certain sequence of classes, which will also have a certain influence on each other. The learning situation of one course may also affect the learning of other courses. This article uses the APRIORI correlation algorithm to analyze the performance of music education majors, reveals the connections between and within the various course groups, and provides guidance for students’ choice and study of professional courses.
Comparison on the Application of BP Neural Network and Logistic Regression in the Study of Technology Life Cycle
Authors: Xinhui Chai , kun Ding 
Published: June 2021

Abstract
The research on technology life cycle can be used in technology transaction, technology prediction, technology evaluation and so on. It is an important reference basis for enterprise strategy making, government policy making and so on. This study constructed a BP neural network model based on the patent accumulative quantity to judge the TLC, and compares the results with the logistics regression method which is the more mature in academic circles. It is found that it is feasible to use BP neural network to study TLC with a better result on technology prediction and no difference in identifying TLC phase compared to logistics regression.
A Blockchain-based Access Control Scheme
Authors: Jiang Xiong 
Published: June 2021

Abstract
Access control plays an important role in protecting data privacy. However, traditional access control models such as RBAC, ABAC and UCON need to be built based on a central trusted server. Once the central trusted server is controlled by an adversary, it will pose a serious threat to data security. Therefore, this article proposes a blockchain-based access control scheme, which uses the blockchain to replace the central trusted server and uses smart contracts to complete access. The proposed scheme solves the centralization problem of the traditional access control model. Furthermore, it has been tested on representative equipment, and the experimental results show that the proposed scheme is efficient and feasible.
Research on analysis of desert crossing problem based on Dijkstra model
Authors: Feng Jiahui , Mao Yuanyuan 
Published: June 2021

Abstract
This article analyzes the optimal solution of the game desert nuggets in different situations. Taking into account the weather, the amount of resources (water and food), the travel conditions and the number of people in the same group, more funds are reserved for reaching the end. According to the requirements of different backgrounds, various models and solutions are proposed. Based on the Dijkstra model and using methods such as greedy algorithm and game theory, run under Linux terminal to find the optimal strategy.
Using Earned Value Management with exponential smoothing technique to forecast project cost
Authors: Zhao Mengyuan , Zi Xuemin 
Published: June 2021

Abstract
Earned value management (EVM) is developed for cost management and is widely used to evaluate and forecast project cost. Through earned value management, we can calculate the deviation between cost and schedule, as well as performance indicators such as cost performance index (CPI), schedule performance index (SPI) and duration performance index (DPI), and then predict project cost, schedule and duration. However, it is often not comprehensive to rely only on EVM for project prediction, because the project in the next testing period is not necessarily invariable and similar to the previous activities, but dynamic and flexible, and has some correlation with the previous project activities. Therefore, the research method of this paper is to combine the well-known earned Management (EVM) with the mature exponential smoothing technique to simulate the actual data of 32 simulation projects and predict the final cost of the project. After comparing the prediction results with the results of tens of thousands of simulation experiments, the final research results show that the combination of cost performance index (CPI) from earned Management (EVM) and simple exponential smoothing technique have promising performance for the final cost estimation of the project.
The impact of OFDI on employment quality in Hubei Province: An Empirical Analysis Based on VAR model
Authors: Leng Yue 
Published: June 2021

Abstract
With the in-depth development of “going out” strategy, OFDI plays an important role in the development of China’s economy. On the one hand, it promotes the increase of China’s employment, on the other hand, it has a profound impact on the quality of China’s employment. In this paper, Hubei Province as the research object, using the time series data of Hubei Province from 2003 to 2019, using entropy method to measure the comprehensive index of employment quality, on this basis, using VAR model, impulse response test method, empirical analysis of the impact of OFDI on employment quality in Hubei Province. The results show that: the average employment quality index of Hubei Province is less than 6 percent, the quality of employment is not high. For each percentage point of OFDI increase, the employment quality index increases by 0.11%, which can promote the quality of employment, but has no significant effect on the employment quality.
Projective synchronization of a 4D financial hyper-chaotic system with model uncertainty and external disturbance
Authors: Liang Haiming , Guo Rongwei 
Published: June 2021

Abstract
This paper investigates the projective synchronization problem of a 4D financial hyper-chaotic system. Firstly, it is proven that projective synchronization problem of such system exists. Moreover, a non-singular transformation is found and used to divide the 4D financial hyper-chaotic system into two subsystems. Secondly, a UDE-based single input controller is proposed and be used to realize this projective synchronization problem. Finally, the correctness and effectiveness of the proposed results is verified by numerical simulations.
Intrusive Intention Recognition Based on Signaling Game Model
Authors: Zhang Xiaoning , Zhang Hengwei , Sun Pengyu , Wang Jindong 
Published: June 2021

Abstract
In order to accurately assess the network security situation and identify the intrusive intention of attackers, we propose an intrusive intention identification method based on a signaling game model. Based on the attack path graph, an offensive and defensive signalling game model is established, and the payoffs and costs of attack and defence are quantified using CVSS. By calculating the game equilibrium to quantitatively analyse and predict the attack paths that match the attacker’s intent, administrators can be guided to make defensive decisions.
Antibody response to mRNA SARS-CoV-2 vaccines in haemodialysis patients
Authors: Paal Michael , Arend Florian M , Lau Tobias , Hasmann Sandra , Soreth-Rieke Daniela , Sorodoc-Otto Johanna , Beuthien Wilke , Krappe Julia , Toepfer Marcell , Gersdorff Gero von , Thaller Norbert , Rau Simon , Northoff Bernd , Teupser Daniel , Bruegel Mathias , Fischereder Michael , Schönermarck Ulf 
Published: June 2021

AbstractBackgroundSome studies have shown an attenuated immune response in haemodialysis patients after vaccination. The present study examines the humoral response after mRNA vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a large population of haemodialysis patients from different outpatient dialysis centres.MethodsWe retrospectively assessed antibodies against SARS-CoV-2 spike protein and nucleocapsid protein (chemiluminescence immunoassays, Roche diagnostics) 3–6 weeks after the second mRNA vaccine dose in 179 maintenance haemodialysis and 70 non-dialysis patients (control cohort). Differences in anti-SARS-CoV-2 spike protein titers were statistically analysed with respect to patient-relevant factors, including age, gender, previous coronavirus disease 2019 (COVID-19) infection, systemic immunosuppressive therapy and time on dialysis.ResultsWe found a favourable, but profoundly lower SARS-CoV-2 spike protein antibody response in comparison with a non-dialysis cohort (median 253.5 versus 1756 U/mL, P &lt; 0.001). In multivariate analysis, previous COVID-19 infection (P &lt; 0.001) and female gender were associated with a significantly higher vaccine response (P = 0.006) in haemodialysis patients, while there was a significant inverse correlation with increasing patient age and systemic immunosuppression (P &lt; 0.001). There was no statistically significant correlation between the antibody titer and time on dialysis. Immune response in haemodialysis patients with a previous COVID-19 infection led to substantially higher antibody titers that were equal to those of vaccinated non-dialysis individuals with previous infection.ConclusionWe strongly argue in favour of regular antibody testing after COVID-19 vaccination in haemodialysis patients. Further studies should elucidate the utility of booster vaccinations to foster a stronger and persistent antibody response.
Lethal and Sublethal Effects of Proteus, Matrine, and Pyridalyl on Frankliniella occidentalis (Thysanoptera: Thripidae)
Authors: Kordestani Mona , Mahdian Kamran , Baniameri Valiollah , Sheikhi Garjan Aziz 
Published: June 2021

Abstract
The western flower thrips (WFT), Frankliniella occidentalis (Pergande) is one of the most harmful pests of crops in greenhouses and fields. Considering the need for studies that introduce new insecticides for control of the WFT, the leaf dip method was carried out to study the acute toxicity of Proteus, matrine, and pyridalyl to adult thrips, and life tables were constructed to assess the impacts of sublethal concentrations (LC25) of these insecticides on the development and reproduction of the F1 generation. Bioassays showed that the toxicity of matrine (LC50: 45.9 µl ml–1) and Proteus (LC50: 54.5 µl ml–1) was higher than pyridalyl (LC50: 176.5 µl ml–1). At LC25 concentration, both Proteus and matrine prolonged the development period and reduced the survival rate of eggs, larval stages, and pupae in the F1 generation. Also, the adults’ longevity, oviposition duration, and the cumulative number of eggs laid per female (fecundity) were decreased significantly. Sublethal concentrations of Proteus and matrine inhibited the population growth rate relative to the control based on the predicted number of offspring. The lowest net reproductive rate (R0), intrinsic rate of increase (r), and finite rate of increase (λ) were estimated for Proteus (7.02 offspring/individual, 0. 0838 d–1, and 1. 08 d–1, respectively). In contrast, the WFT F1 generation that resulted from parent adults treated with pyridalyl was neither affected in their developmental time, nor fecundity, or the intrinsic rate of increase. According to our findings, all tested insecticides, especially Proteus, showed good potential for use in integrated pest management strategies against F. occidentalis.
The association between mean arterial pressure and outcomes in patients with cardiogenic shock: insights from the DOREMI trial
Authors: Parlow Simon , Di Santo Pietro , Mathew Rebecca , Jung Richard G , Simard Trevor , Gillmore Taylor , Mao Brennan , Abdel-Razek Omar , Ramirez F Daniel , Marbach Jeffrey A , Dick Alexander , Glover Christopher , Russo Juan J , Froeschl Michael , Labinaz Marino , Fernando Shannon M , Hibbert Benjamin ,   the CAPITAL DOREMI investigators
Published: June 2021

AbstractAimsCardiogenic shock (CS) is a state of low cardiac output resulting in end-organ hypoperfusion. Despite high in-hospital mortality rates, little evidence exists regarding the optimal mean arterial pressure (MAP) target in CS. We therefore evaluated the relationship between achieved MAP and clinical outcomes in patients with CS.Methods and resultsWe performed a post hoc analysis of the CAPITAL DOREMI trial: a randomized, double-blind trial comparing dobutamine to milrinone in patients with CS. We divided patients into a high MAP group (average MAP ≥ 70 mmHg over the 36 h following randomization), and a low MAP group (average MAP &lt; 70 mmHg). Our primary outcome included in-hospital all-cause mortality, resuscitated cardiac arrest, need for cardiac transplantation or mechanical circulatory support, non-fatal myocardial infarction, transient ischaemic attack or stroke, or initiation of renal replacement therapy. In total, 71 (37.0%) patients achieved an average MAP &lt; 70 mmHg, and 121 (63.0%) achieved an average MAP ≥ 70 mmHg. The primary outcome occurred in 48 (67.6%) patients in the low MAP group and 51 (42.2%) patients in the high MAP group [adjusted relative risk (aRR) 0.70; 95% confidence interval (CI) 0.53–0.92; P = 0.01]. All-cause mortality occurred in 41 (57.8%) and 35 (28.9%) patients in the low and high MAP groups, respectively (aRR 0.56; 95% CI 0.40–0.79; P &lt; 0.01). There were no significant differences in any secondary outcomes between each group.ConclusionsIn patients with CS treated with inotrope therapy, low MAP is associated with worse clinical outcomes. Randomized data evaluating optimal MAP targets in CS is needed to guide medical therapy.
Adjunctive surgery versus medical treatment among patients with cavitary multidrug-resistant tuberculosis
Authors: Vashakidze Sergo A , Gogishvili Shota G , Nikolaishvili Ketino G , Avaliani Zaza R , Chandrakumaran Abivarma , Gogishvili Giorgi Sh , Magee Mathew , Blumberg Henry M , Kempker Russell R 
Published: June 2021

Abstract

OBJECTIVES
Surgical resection is recommended as adjunctive treatment for multidrug-resistant (MDR) tuberculosis (TB) in certain scenarios; however, data are limited. We sought to evaluate the impact of surgery by comparing TB outcomes among patients with cavitary disease who received medical versus combined medical and surgical treatment.

METHODS
A cohort of all patients with cavitary MDR or extensively drug-resistant (XDR) TB treated in Tbilisi, Georgia, between 2008 and 2012. Patients meeting indications for surgery underwent adjunctive resection in addition to medical treatment. We compared TB outcomes (proportions achieving cure/complete) among patients who received adjunctive surgery to those who received medical treatment alone using an adjusted robust Poisson regression.

RESULTS
Among 408 patients, 299 received medical treatment alone and 109 combined medical and surgical treatment. Patients in the non-surgical group were older and had higher rates of tobacco and alcohol use and bilateral disease compared to the surgical group. Patients in the surgical group had higher rates of XDR disease (28% vs 15%). Favourable outcomes were higher among the surgical versus non-surgical group cohort (76% vs 41%). After adjusting for multiple factors, the association between adjunctive resection and favourable outcome remained (adjusted risk ratio 1.6, 95% confidence interval 1.3–2.0); the relationship was also observed in secondary models that excluded patients with bilateral disease (contraindication for surgery) and patients receiving &lt;6 months of treatment. Major postoperative complications occurred among 8 patients (7%) with no postoperative mortality.

CONCLUSIONS
Adjunctive surgery is safe and may improve the effectiveness of treatment among select patients with cavitary MDR- and XDR-TB.
European Heart Journal quality standards
Authors: Alfonso Fernando , Torp-Pedersen Christian , Carter Rickey E. , Crea Filippo 
Published: June 2021

Abstract
The aim of the European Heart Journal (EHJ) is to attract innovative, methodologically sound, and clinically relevant research manuscripts able to change clinical practice and/or substantially advance knowledge on cardiovascular diseases. As the reference journal in cardiovascular medicine, the EHJ is committed to publishing only the best cardiovascular science adhering to the highest ethical principles. EHJ uses highly rigorous peer-review, critical statistical review and the highest quality editorial process, to ensure the novelty, accuracy, quality, and relevance of all accepted manuscripts with the aim of inspiring the clinical practice of EHJ readers and reducing the global burden of cardiovascular diseases. This review article summarizes the quality standards pursued by the EHJ to fulfill its mission.
Precarious work increases depression-based disability among male employees
Authors: Pyöriä Pasi , Ojala Satu , Nätti Jouko 
Published: June 2021

AbstractBackgroundPrecarious employment is a potent occupational health risk, but little is known about its association with work-related disability and its causes. This study analyzes whether employment precariousness is associated with receiving disability pension (DP) due to depression and whether this differs according to gender.MethodsStatistics Finland’s Quality of Work Life Surveys (1997, 2003, 2008 and 2013) were merged with register-based DP data obtained from the Finnish Centre for Pensions. The survey material was used to measure employment precariousness using five variables: fear of job loss, poor employability prospects, previous unemployment, low earnings and temporary contracts. We followed 20–60-year-old employees until 2016 and studied Cox proportional hazard ratios (HRs) for receiving DP among women and men, adjusting for sociodemographic covariates, working conditions and health at baseline.ResultsThe overall risk of receiving DP tended to increase as precarious job features accumulated. Among men, a higher risk of receiving DP due to depression was associated with previous unemployment [HR 2.2, 95% confidence interval (CI) 1.1–4.2] and poor employability (HR 2.4, 95% CI 1.3–4.7), whereas no corresponding association was found among women.ConclusionsEmployment precariousness may reflect a psychological stress mechanism that predisposes the individual to mental health problems, predicting future disability. Work disability risk shows gendered differences depending on the cause of DP. Promoting employability at workplace and policy levels could offset the health risks associated with precariousness.
Robust estimation via generalized quasi-gradients
Authors: Zhu Banghua , Jiao Jiantao , Steinhardt Jacob 
Published: June 2021

Abstract
We explore why many recently proposed robust estimation problems are efficiently solvable, even though the underlying optimization problems are non-convex. We study the loss landscape of these robust estimation problems, and identify the existence of ’generalized quasi-gradients’. Whenever these quasi-gradients exist, a large family of no-regret algorithms are guaranteed to approximate the global minimum; this includes the commonly used filtering algorithm. For robust mean estimation of distributions under bounded covariance, we show that any first-order stationary point of the associated optimization problem is an approximate global minimum if and only if the corruption level $\epsilon &lt; 1/3$. Consequently, any optimization algorithm that approaches a stationary point yields an efficient robust estimator with breakdown point $1/3$. With carefully designed initialization and step size, we improve this to $1/2$, which is optimal.
For other tasks, including linear regression and joint mean and covariance estimation, the loss landscape is more rugged: there are stationary points arbitrarily far from the global minimum. Nevertheless, we show that generalized quasi-gradients exist and construct efficient algorithms. These algorithms are simpler than previous ones in the literature, and for linear regression we improve the estimation error from $O(\sqrt{\epsilon })$ to the optimal rate of $O(\epsilon )$ for small $\epsilon $ assuming certified hypercontractivity. For mean estimation with near-identity covariance, we show that a simple gradient descent algorithm achieves breakdown point $1/3$ and iteration complexity $\tilde{O}(d/\epsilon ^2)$.
Evaluation of Inappropriate COVID-19 RT–PCR Test Utilization at an Academic Medical Center
Authors: Hardy Naomi L , Luethy Paul M 
Published: June 2021

Abstract

Background
An evolving COVID-19 testing landscape and issues with test supply allocation, especially in the current pandemic, has made it challenging for ordering providers. We audited orders of the Xpert® Xpress SARS-CoV-2 PCR with reverse transcription (RT–PCR) platform—the fastest of several other testing modalities available—to illuminate these challenges utilizing a multidisciplinary laboratory professional team consisting of a pathology resident and microbiology laboratory director.

Methods
Retrospective review of the first 5 hundred Xpert Xpress SARS-CoV-2 RT–PCR test orders from a 2-week period to determine test appropriateness based on the following indications: emergency surgery, emergent obstetric procedures, initial behavioral health admission, and later including discharge to skilled care facilities and pediatric admissions. Our hypothesis was that a significant proportion of orders for this testing platform were inappropriate.

Results
On review, a significant proportion of orders were incorrect, with 69.8% (n = 349, P &lt; 0.0001) not meeting indications for rapid testing. Of all orders, 249 designated as emergency surgery were inappropriate, with 49.0% of those orders never proceeding with any surgical intervention; most of these were trauma related (64.6% were orders associated with a trauma unit).

Conclusions
Significant, pervasive inappropriate ordering practices were identified at this center. A laboratory professional team can be key to identifying problems in testing and play a significant role in combating inappropriate test utilization.