bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Missile Mid-Course Guidance for Constrained Impact Angle
Authors: Chen B H , Chen T L 
Published: May 2020

Abstract
This research develops a mid-course guidance law, which enables a constrained impact angle at the engagement, in response to the needs of modern missile design. To achieve this goal and share the workload with the terminal guidance, the mid-course guidance has to regulate the missile to a specific target location and a specific flight angle for a specific “time-to-go.” Therefore, conventional mid-course guidance laws are inadequate in this case. The proposed guidance law achieves this goal by recursively updating the target dynamics for the mid-course guidance, and applying optimal controls with frequently updated control parameters. Simulation results demonstrate the importance and effectiveness of the proposed method. In a simulation case, the interception missile is 100 kilometers away from the target missile, the flight speed of the two missiles are 1200 m/s and 800 m/s, respectively, and the requested impact angle is 150°. The proposed method achieves the positioning error and flight-path-angle error of 791 meters and 0.56°, at the end of mid-course guidance. When working with the previously developed terminal guidance, the miss distance and impact-angle error are 0.002m and 0.001° at the end of the engagement.
Simultaneous size and shape optimization for satellite adapter by using patran command language
Authors: Zhao X R , Hameed S , Huang H , Rehman O 
Published: May 2020

Abstract
Adapter is a widely applied structure connecting satellite and launch vehicle with standard interface. In this paper, the described technique simultaneously uses the size and shape optimization on an engineering satellite adapter to achieve more efficient design. The optimization application is achieved by modifying its shape design variables and performing size optimization to obtain optimal design. The process is formulated in Msc.Patran/Nastran with the help of an algorithm generated by patran command language (PCL). Optimization results proved that the modified adapter greatly enhanced the stiffness and strength of the whole satellite while reducing the adapter weight by around 70%.
Multi-dimensional teaching mode for introduction to aerospace
Authors: Jia Yuhong 
Published: May 2020

Abstract
With the development of aerospace technology, the demand for aerospace knowledge is becoming more and more urgent. Many Aerospace and non-aerospace colleges have offered the course of Introduction to Aerospace. Introduction to Aerospace is a general course. Different from general humanities courses, besides its wide coverage and large amount of information, it also has strong engineering characteristics, such as including many advanced structures and cutting-edge science and technology. The course is intended to the first-year undergraduate students. These students come from different majors, such as liberal arts, science and engineering, and their educational backgrounds, specialties and levels are quite different. How to make all the students can better learn the course content is a great challenge. After years of exploration and practice, the multi-dimensional teaching mode of “Classroom teaching + On-site teaching + Virtual simulation experiment + MOOC) Massive Open Online Courses (teaching + Mobile APP” for Introduction to Aerospace has achieved good teaching effect.
Combining with the on-site teaching, students can better understand the theoretical content. Students show great enthusiasm for this kind of on-site teaching. They observed carefully and raised many questions they wanted to know. This teaching mode can encourage students to have a better understanding of the content.
In the virtual experiment, the following six stealth technologies are fully demonstrated: the basic principle of stealth, understanding the stealth technology, the overall layout of stealth aircraft, the recognition and test of stealth aircraft, the penetration confrontation experiment and the air combat confrontation experiment of aircraft. The virtual experiment enables students to approach the cutting-edge technology in a more vivid and immersive way.
MOOC is rich in content, and has the characteristics of using spare time to learn at anytime and anywhere. Students can learn relevant contents according to their own interests, and thereby expanding their knowledge and broadening their horizons.
Mobile APP is a kind of course practice software. By using mobile APP, students can learn and consolidate the knowledge points anytime, and the learning effect is significantly improved.
The multi-dimensional teaching mode of “classroom teaching + on-site teaching + virtual simulation experiment + MOOC teaching + mobile APP” of Introduction to Aerospace is a useful exploration for general education courses. Through years of practice, the teaching effect is good.
Drivers of innovation and its impact on business performance
Authors: Lestari E R , Rodhiyah D S N , Najah E S 
Published: May 2020

Abstract
In a turbulent business environment, innovation is the most important issue for business success. This paper addresses two main problems. First, we examine the relationship between market orientation (MO) and entrepreneurial orientation (EO) as key drivers of innovation. Second, it evaluates the impact of innovation on business performance. Model development using structural equation modelling (SEM). Data was collected based upon food sector small industries. The finding of this research provides support for the positive link of both MO and EO on innovation. Finally, innovation becomes a positive contributor to business performance. The study has implications that firms should emphasize enhance innovation and ultimately in order to achieve better competitiveness.
Absorption, distribution, metabolism, excretion, and toxicity evaluation of Papua red fruit flavonoids through a computational study
Authors: Suprijono MM , Sujuti H , Kurnia D , Widjanarko S B 
Published: May 2020

Abstract
Red Fruit (RF) (Pandanus conoideus Lam.) was used as traditional medicine for Papuans and consumed as a daily meal. RF was proved as a source of bioactive antioxidant and anticancer, grace on their flavonoids. There was a few researches that focuses on the metabolism and toxicity of RF, but the mechanism of metabolism and toxicity of the flavonoids present in the RF is unclear. This research aims to evaluate the absorption, distribution, metabolism, excretion, and toxicity of RF flavonoids through computational study, sharpening their potency as bioactive in functional food. Flavonoids in RF extracts were identified using LCMS and or obtained from secondary data. The chemical structure of the flavonoids was redrawn to get the canonical of the molecular graph. Absorption, distribution, metabolism, and excretion were predicted using SWISS ADME, OSIRIS Property Explorer, and hERG-Pred. Those were based on the physicochemical properties, pharmacokinetic, BOILED-EGG test, whereas the toxicology based on the potency as a toxicant, P-gp substrate, hERG blocker, and CYP450 inhibitor. Quercetin, Taxifolin, and Quercetin 3-Glucoside were identified in the methanol and ethyl acetate extract. Quercetin, Taxifolin, 3,4,5-trihydroxy-7,3-dimethoxyflavone/TDF, 4’,6,6’,8-tetrahidroksi-3-metoksi-flavon/TMF, and Quercetin3-Methyl-Ether/QME fulfilled the RO5 parameters; they were higher in water solubility, gastrointestinal absorption, and bioavailability. All were not P-gp substrate and hERG blocker, but some of them were CYP450 inhibitors. Only TMF, QME, Taxifolin3-O-α-Arabinopiranose/TAP, and Quercetin3-O-Glucose/QOG that consistently had no risk as toxic compounds. RF flavonoid showed high potency as bioactive. Most of the flavonoid had no toxicity risk. Generally, RF flavonoids were categorised as safe.
Digital twin technology as an instrument for increasing electrical equipment reliability
Authors: Khalyasmaa A.I. , Eroshenko S.A. , Shatunova D.V. , Larionova A. A. , Egorov A.O. 
Published: May 2020

Abstract
The article describes the experience of practical realisation of digital twin technology for voltage and current measurement transformer 110 kV installed in real power station. In terms of the research electrical equipment state monitoring system has been developed as a set of sensors and diagnostic system, based on essentially different approaches of non-defective diagnostics. 3D model construction of the equipment under monitoring is also described as a part of digital twin concept. It is shown the valuable impact of digital twin technology application.
Electrical energy storage systems for increasing technical and economical characteristics of gas engine power plants
Authors: Eroshenko S.A. , Melnikov V. D. , Nesterenko G. B. , Zyryanov V. M. 
Published: May 2020

Abstract
Developing of new technologies such as electrical energy storage systems (EESS) opens new ways to increasing efficiency, decreasing exhaust waste and fuel consumption in traditional fossil fuels power station. This paper contains actual testing results of electrical energy storage system based on lithium-ion technology working with gas engine generator and altering load power. EESS parameters: rated power 100 kVA, rated capacity 153 kWh. As is known, gas generators are sensitive to changes in load power, obtained results show the effectiveness of the usage EESS to supply sustainability of generators in high amplitude and frequency altering load power environment. These results achieved through the ability of the developed converter and control strategy to compensate rapid deviations of the load power. In additional, in control system realized others common functionality: active power limitation, voltage and frequency control, reactive power control, power factor control and others. With the usage EESS, the nominal power of plane station should be lower than without EESS.
Fabrication of robust conductive and superhydrophobic coating based on carbon nanotubes
Authors: Li Wenbin , Wang Yong , Feng Yanting , Wang Qing , Xu Xuexia , Li Guowei , Dong Guozhen , Jing Shangqian , Chen Ersong , Fan Xiaoliang , Wang Peng 
Published: May 2020

Abstract
This paper reported a simple approach to prepare robust conductive/superhydrophobic coating. The hierarchical structure was obtained through the addition of microscale filler (graphite powder and expanded graphite) and nanoscale filler (carbon nanotube). The self-similar structure was obtained through bonding the fillers using the epoxy matrix. Through the combination of the hierarchical and self-similar structures, the as-prepared superhydrophobic coating demonstrated excellent anti-abrasion property, good conductivity, excellent self-cleaning performance in both oil and water environment, outstanding anticorrosive property, and superior thermal stability simultaneously. Moreover, this superhydrophobic coating was achieved by a simple casting method, which has the potential to be used in large scale production.
Exposures to Fumigants and Residual Chemicals in Workers Handling Cargo from Shipping Containers and Export Logs in New Zealand
Authors: Hinz Ruth , Mannetje Andrea ’t , Glass Bill , McLean Dave , Pearce Neil , Douwes Jeroen 
Published: May 2020

Abstract

Objectives
Previous studies have reported high concentrations of airborne fumigants and other chemicals inside unopened shipping containers, but it is unclear whether this is reflective of worker exposures.

Methods
We collected personal 8-h air samples using a whole-air sampling method. Samples were analysed for 1,2-dibromoethane, chloropicrin, ethylene oxide, hydrogen cyanide, hydrogen phosphide, methyl bromide, 1,2-dichloroethane, C2-alkylbenzenes, acetaldehyde, ammonia, benzene, formaldehyde, methanol, styrene, and toluene. Additive Mixture Values (AMVs) were calculated using the New Zealand Workplace Exposure standard (WES) and American Conference of Governmental Industrial Hygienists (ACGIH) Threshold Limit Values (TLVs) of the 8-h, time-weighted average exposure limit. Linear regression was conducted to assess associations with work characteristics.

Results
We included 133 workers handling shipping containers, 15 retail workers unpacking container goods, 40 workers loading fumigated and non-fumigated export logs, and 5 fumigators. A total of 193 personal 8-h air measurements were collected. Exposures were generally low, with &gt;50% below the limit of detection for most chemicals, and none exceeding the NZ WES, although formaldehyde exceeded the TLV in 26.2% of all measurements. The AMV-TLV threshold of 1 was exceeded in 29.0% of the measurements. Levels and detection frequencies of most chemicals varied little between occupational groups, although exposure to methyl bromide was highest in the fumigators (median 43 ppb) without exceeding the TLV of 1000 ppb. Duration spent inside the container was associated with significantly higher levels of ethylene oxide, C2-alkylbenzenes, and acetaldehyde, but levels were well below the TLV/WES. Exposure levels did not differ between workers handling fumigated and non-fumigated containers.

Conclusions
Personal exposures of workers handling container cargo in New Zealand were mainly below current exposure standards, with formaldehyde the main contributor to overall exposure. However, as it is not clear whether working conditions of participants included in this study were representative of this industry as a whole, and not all relevant exposures were measured, we cannot exclude the possibility that high exposures may occur in some workers.
Enriching contextualized language model from knowledge graph for biomedical information extraction
Authors: Fei Hao , Ren Yafeng , Zhang Yue , Ji Donghong , Liang Xiaohui 
Published: May 2020

Abstract
Biomedical information extraction (BioIE) is an important task. The aim is to analyze biomedical texts and extract structured information such as named entities and semantic relations between them. In recent years, pre-trained language models have largely improved the performance of BioIE. However, they neglect to incorporate external structural knowledge, which can provide rich factual information to support the underlying understanding and reasoning for biomedical information extraction. In this paper, we first evaluate current extraction methods, including vanilla neural networks, general language models and pre-trained contextualized language models on biomedical information extraction tasks, including named entity recognition, relation extraction and event extraction. We then propose to enrich a contextualized language model by integrating a large scale of biomedical knowledge graphs (namely, BioKGLM). In order to effectively encode knowledge, we explore a three-stage training procedure and introduce different fusion strategies to facilitate knowledge injection. Experimental results on multiple tasks show that BioKGLM consistently outperforms state-of-the-art extraction models. A further analysis proves that BioKGLM can capture the underlying relations between biomedical knowledge concepts, which are crucial for BioIE.
SARS-CoV-2 (COVID-19): What Do We Know About Children? A Systematic Review
Authors: Mehta Nisha S , Mytton Oliver T , Mullins Edward W S , Fowler Tom A , Falconer Catherine L , Murphy Orla B , Langenberg Claudia , Jayatunga Wikum J P , Eddy Danielle H , Nguyen-Van-Tam Jonathan S 
Published: May 2020

Abstract

Background
Few pediatric cases of coronavirus disease 2019 (COVID-19) have been reported and we know little about the epidemiology in children, although more is known about other coronaviruses. We aimed to understand the infection rate, clinical presentation, clinical outcomes, and transmission dynamics for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), in order to inform clinical and public health measures.

Methods
We undertook a rapid systematic review and narrative synthesis of all literature relating to SARS-CoV-2 in pediatric populations. The search terms also included SARS-CoV and MERS-CoV. We searched 3 databases and the COVID-19 resource centers of 11 major journals and publishers. English abstracts of Chinese-language papers were included. Data were extracted and narrative syntheses conducted.

Results
Twenty-four studies relating to COVID-19 were included in the review. Children appear to be less affected by COVID-19 than adults by observed rate of cases in large epidemiological studies. Limited data on attack rate indicate that children are just as susceptible to infection. Data on clinical outcomes are scarce but include several reports of asymptomatic infection and a milder course of disease in young children, although radiological abnormalities are noted. Severe cases are not reported in detail and there are few data relating to transmission.

Conclusions
Children appear to have a low observed case rate of COVID-19 but may have rates similar to adults of infection with SARS-CoV-2. This discrepancy may be because children are asymptomatic or too mildly infected to draw medical attention and be tested and counted in observed cases of COVID-19.
Effect of anthracycline therapy on myocardial function and markers of fibrotic remodelling in childhood cancer survivors
Authors: Mawad Wadi , Mertens Luc , Pagano Joseph J , Riesenkampff Eugenie , Reichert Marjolein J E , Mital Seema , Kantor Paul F , Greenberg Mark , Liu Peter , Nathan Paul C , Grosse-Wortmann Lars 
Published: May 2020

AbstractAimsAnthracyclines are a cornerstone of paediatric cancer treatment. We aimed to quantify myocardial cardiac magnetic resonance (CMR) native T1 (NT1) and extracellular volume fraction (ECV) as markers of fibrosis in a cohort of childhood cancer survivors (CCS).Methods and resultsA cohort of CCS in remission underwent CMR T1 mapping. Diastolic function was assessed by echocardiography. Results were compared to a cohort of normal controls of similar age and gender. Fifty-five CCS and 46 controls were included. Both groups had similar mean left ventricular (LV) NT1 values (999 ± 36 vs. 1007 ± 32 ms, P = 0.27); ECV was higher (25.6 ± 6.9 vs. 20.7 ± 2.4%, P = 0.003) and intracellular mass was lower (37.5 ± 8.4 vs. 43.3 ± 9.9g/m2, P = 0.02) in CCS. The CCS group had lower LV ejection fraction (EF) and LV mass index with otherwise normal diastolic function in all but one patient. The proportion of subjects with elevated ECV compared to controls did not differ between subgroups with normal or reduced LV EF (22% vs. 28%; P = 0.13) and no correlations were found between LVEF and ECV. While average values remained within normal range, mitral E/E′ (6.6 ± 1.6 vs. 5.9 ± 0.9, P = 0.02) was higher in CCS. Neither NT1 nor ECV correlated with diastolic function indices or cumulative anthracycline dose.ConclusionsThere is evidence for mild diffuse extracellular volume expansion in some asymptomatic CCS; myocyte loss could be part of the mechanism, accompanied by subtle changes in systolic and diastolic function. These findings suggest mild myocardial damage and remodelling after anthracycline treatment in some CCS which requires continued monitoring.
The mechanistic overview of SARS-CoV-2 using angiotensin-converting enzyme 2 to enter the cell for replication: possible treatment options related to the renin–angiotensin system
Authors: Offringa Annette , Montijn Roy , Singh Sandeep , Paul Martin , Pinto Yigal M , Pinto-Sietsma* Sara-Joan 
Published: May 2020

AbstractThe SARS-CoV-2 pandemic is a healthcare crisis caused by insufficient knowledge applicable to effectively combat the virus. Therefore, different scientific discovery strategies need to be connected, to generate a rational treatment which can be made available as rapidly as possible. This relies on a solid theoretical understanding of the mechanisms of SARS-CoV-2 infection and host responses, which is coupled to the practical experience of clinicians that are treating patients. Because SARS-CoV-2 enters the cell by binding to angiotensin-converting enzyme 2 (ACE2), targeting ACE2 to prevent such binding seems an obvious strategy to combat infection. However, ACE2 performs its functions outside the cell and was found to enter the cell only by angiotensin II type 1 receptor (AT1R)-induced endocytosis, after which ACE2 is destroyed. This means that preventing uptake of ACE2 into the cell by blocking AT1R would be a more logical approach to limit entry of SARS-CoV-2 into the cell. Since ACE2 plays an important protective role in maintaining key biological processes, treatments should not disrupt the functional capacity of ACE2, to counterbalance the negative effects of the infection. Based on known mechanisms and knowledge of the characteristics of SARS-CoV we propose the hypothesis that the immune system facilitates SARS-CoV-2 replication which disrupts immune regulatory mechanisms. The proposed mechanism by which SARS-CoV-2 causes disease immediately suggests a possible treatment, since the AT1R is a key player in this whole process. AT1R antagonists appear to be the ideal candidate for the treatment of SARS-CoV-2 infection. AT1R antagonists counterbalance the negative consequences of angiotesnin II and, in addition, they might even be involved in preventing the cellular uptake of the virus without interfering with ACE2 function. AT1R antagonists are widely available, cheap, and safe. Therefore, we propose to consider using AT1R antagonists in the treatment of SARS-CoV-2.
Quality indicators for community dementia care: a systematic review
Authors: Dequanter Samantha , Buyl Ronald , Fobelets Maaike 
Published: May 2020

Abstract

Background
There is a lack of an up-to-date body of evidence and a comprehensive overview concerning literature on quality indicator (QI) development for dementia care. Therefore, we systematically reviewed recent literature and formulated recommendations for future research.

Methods
PubMed, CINAHL and The Cochrane Library were searched for studies describing QI development or redefinition for dementia care (from first symptoms until admission to long-term care), published from 2008 to May 2019.

Results
We included a total of 7 articles, comprising of 107 QIs. The majority of publications originated from Europe. These applied to outpatient care, primary care and end-of-life care. Most QIs referred to care processes. Several care domains were determined by the authors, ranging from screening and assessment to end-of-life care. The methodological quality of the QI sets differed considerably. The QI sets with the best methodological quality were developed using expert evaluation or a Delphi technique.

Conclusions
It can be concluded that a reasonable amount of QIs for assessing and optimizing community dementia care exists, however, further development and methodological improvements of these QIs are necessary. Involvement of people with dementia and caregivers in the development process and a broader focus including community oriented next to medically oriented QIs are examples of potential improvement measures.