bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Review on Power Electronics and Drives in Electric Propulsion System
Authors: Shivam Saurabh , Singh Rohan , Raja Singh R. , Sitharthan R 
Published: October 2020

AbstractThis era is the part of the fast-growing world and it is thriving more in the field of advancement of technology. Power electronics and drives are one of the major fields that is getting updated every day. Due to increased power generation capacity, improved power qualities, increased automation, and improved capabilities, the electric propulsion has replaced mechanical propulsion. Similarly, the variable speed motors have replaced transverse motor starters to save energy and reduce load instability. With the detailed structure and working of the marine electric propulsion system, this paper focus on reviewing about the various power electronic devices and converter configurations that are used in marine applications, specifically in the propulsion system. Moreover, the detailed assessment of different motor and drive schemes employed in propulsion system is carried out. Further, the review will shift its centre towards controlling drives, which includes various control strategies and control techniques.
Classification and prediction of social attributes By K-Nearest Neighbor Algorithm with Socially-aware wireless networking-A study
Authors: Krishanmoorthy Sujatha , Han Bingxu , Zhang Huimin , Chai Yunsheng , Cheng Nuo 
Published: October 2020

Abstract
In this paper, we analyze the data which was collected from SIGCOMM 2009, where 76 users were taken part in and traces of Bluetooth encounters, opportunistic messaging, and social profiles of them were collected. The experiment started by conducting a the data sorting and data cleaning. In data processing, mainly three main types of characteristic data in the dataset: message, proximity and participant were chosen. After that, Hierarchical cluster analysis was applied on the processed data, which can score the selected segments by similarity measurement, and then form and visually describe the hierarchical structure of these selected clusters. T can either be manually set or a machine language algorithm can be used and here the manually number of categories are set to be 3 after applying the fviz_nbclust function for optimal clustering analysis. As this was a study article five different calculation methods were analyzed to accomplish hierarchical clustering: single linkage, complete linkage, median distance method, UPGMA and Centroid Clustering. The comparison is deployed iwith a simulation tool and the results are plotted. After the clustering algorithms, the participants are divided into three categories, and for each clustering algorithm the divisions are different. In this regard, k-nearest neighbor classification algorithm is used to calculate the error rate of comparison between the original data and the predicted data. To conclude, Our method results in specific label classification and then analyze the strength of nodes and the tightness between nodes via the KNN algorithm.
Performance Improvement of ZSI Based PMS Motor Drive System for Electric Vehicles
Authors: Karunamoorthy B , Ramprabu J 
Published: October 2020

AbstractIn traction system the choice of motor is very important, multipurpose motors are available in the market. By considering the motor parameter like high power to weight ratio, high torque to current ratio with that high efficiency and robustness. Owing all the advantages the motor chosen is PMSM (Permanent magnet synchronous motor) for the variable speed modern drive which is most widely used in EV’s (Electric vehicle and in Hybrid electric vehicle). Without weakening the field by controlling the DC-link voltage the PMSM machine can run at high speed by implementing ZSI to the drive system. Z source inverter working principle and modulation method is discussed in this study. By considering the Limitation of Maximum voltage and available line current a new Vector control scheme is developed for PMSM drive voltage boosting. At last the proposed system implementation effectiveness and reliability is tested by several simulation and experimental results.
Design & Stability Analysis of Vehicle Suspension System
Authors: Saranraj R , Subajayasri J , Persey J , Nikila R , Balasubramanian SP 
Published: October 2020

Abstract
This exploration depends upon the attestation of the parameters and fragmentary sales PID controllers anticipated vehicle suspension framework. From the beginning, without considering dynamic suspension, introduction of uninvolved suspension layout for various wheel load were recorded and introduced on utilizing an exchange furthest reaches of the framework. As the examination subsequent to assessing the exhibition of old style PID controller, fragmentary request PID controller was applied that improves presentation of old style controller. Thus, variables of the controller were additionally acquired on utilizing a similar improvement calculations. In this paper, street had been demonstrated with sinusoidal (street includes slope) or arbitrary changes, i.e. a saw tooth signal. Execution results were shown that introduction of fragmentary solicitation PID controller is inconceivably improved than normal PID controller.
SVM Based Reduction of Input Current Harmonics in Three Phase Rectifier
Authors: Kesavan T. , Sheebarani Gnanamalar S. , Sivaranjani S. , Gomathy V. , Radhakrishnan G. , Sitharthan R. 
Published: October 2020

Abstract
Current Scenario of power system engineering field is facing problem of harmonics in voltage and current. In power converter harmonics are mainly disturb the stability of voltage and current in uncertainty of load and transient. This paper proposes space vector modulation based analysis of input current in 3 phase converter. Harmonics in input current in converter is a big challenge of power Electronics research. In power converters non-linear load are one of the reason for increasing the harmonics in electronic circuits. Modified space vector modulation is proposed for reducing the harmonics in 3 phase converter and also control the total harmonic distortion. Matlab simulink software is used to simulate and analyse the 3 phase converter and SVM is modelled for above converter. In this propose method THD of input current harmonics has reduced below 5 percentages and compared with IEEE standard.
Practice-Centered Pluralism and a Disjunctive Theory of Art
Authors: Hazelwood Caleb 
Published: October 2020

Abstract
In this paper, I argue that ‘art’, though an open concept, is not undefinable. I propose a particular kind of definition, a disjunctive definition, which comprises extant theories of art. I co-opt arguments from the philosophy of science, likening the concept ‘art’ to the concept ‘species’, to argue that we ought to be theoretical pluralists about art. That is, there are a number of legitimate, perhaps incompatible, criteria for a theory of art. In this paper, I consider three: functionalist definitions, procedural definitions, and an intentional-historical definition. The motivation for this pluralism comes from an analysis of practice, because the term is of apparent value to practitioners. However, a closer analysis of the concept reveals that, while disjunctive definitions help us to understand how we use certain terms (in other words, their pragmatic value), they lack ontological import. In sum, I attempt to glean lessons from the philosophy of science about the philosophy of art. If my analysis is correct, we ought to be eliminative pluralists about art as a concept.
Residual immune response towards decellularized homografts may be highly individual
Authors: Ebken Johannes , Mester Nils , Smart Isabel , Ramm Robert , Goecke Tobias , Jashari Ramadan , Böthig Dietmar , Horke Alexander , Cebotari Serghei , Tudorache Igor , Avsar Murat , Bobylev Dmitry , Haverich Axel , Sarikouch Samir , Hilfiker Andres 
Published: October 2020

Abstract

OBJECTIVES
Decellularized homograft valves (DHVs) have shown promising clinical results, particularly in the treatment of congenital heart disease. However, DHV appears to elicit an immune response in a subset of young patients, indicated by early valve degeneration. As the decellularization process is quality controlled for each DHV, we hypothesized that there may be residual immunogenicity within the extracellular matrix of DHV.

METHODS
A semi-quantitative dot blot analysis was established to screen for preformed recipient antibodies using secondary anti-human antibodies. Fifteen DHV samples (7 aortic, 8 pulmonary) were solubilized and exposed to serum from 20 healthy controls.

RESULTS
The sera from young controls (n = 10, 18–25 years) showed significantly stronger binding of preformed antibodies than sera from older individuals (n = 10, 48–73 years). The difference between the means of arbitrary units was 15.1 ± 6.5 (P = 0.0315). There was high intraindividual variance in the mean amounts of arbitrary units of antibody binding with some healthy controls showing &gt;10 times higher antibody binding towards 2 different DHV. The amount of preformed antibodies bound to DHVs was higher in aortic than in pulmonary DHVs. The mean number of antibody binding (in arbitrary units) was 17.2 ± 4.5 in aortic and 14.5 ± 4.7 in pulmonary DHV (P = 0.27). The amount of preformed antibodies bound to pulmonary DHVs was statistically significantly higher in the sera of healthy males (n = 10) than in the sera of healthy females (n = 10). The mean number of arbitrary units was 17.2 ± 4.2 in male and 11.7 ± 5.3 in female sera (P = 0.036). Antibody binding to aortic DHV was also higher in males, but not significant (18.8 ± 5.0 vs 15.6 ± 4.0). Blood group (ABO) incompatibility between the serum from controls and DHV showed no impact on antibody binding, and there was no age-related impact among DHV donors.

CONCLUSIONS
Residual immunogenicity of decellularized homografts appears to exist despite almost complete cell removal. The established dot blot method allows a semi-quantitative assessment of the individual immune response towards extracellular DHV components and potentially the possibility of preoperative homograft matching.
Responsible Business Conduct and State Laws: Addressing Human Rights Conflicts
Authors: Griffith Arianne , Smit Lise , McCorquodale Robert 
Published: October 2020

ABSTRACT
The business and human rights framework is based on pillars in which states should act to protect against the human rights impacts of business enterprises and the business enterprises should act in ways that do not lead to human rights impacts. Yet there is a gap in this framework in situations where a business enterprise may be willing to act but faces challenges in doing so due to the laws and practices of a state in which it operates. This international framework nevertheless places an expectation on businesses that they should still respect international human rights law as far as possible in these circumstances. No methods are offered for how this can be done in any coherent manner. This makes it very difficult for business enterprises, regulators and civil society to determine the type of compliance required. In this article, we explore this gap in the international framework and, based on empirical research, offer ways in which it can be closed. We propose a typology to assist in understanding the different conflicts between business practices and state laws that may occur, and recommend methods as to how to deal with these conflicts.
Ten principles for data sharing and commercialization
Authors: Cole Curtis L , Sengupta Soumitra , Rossetti (née Collins) Sarah , Vawdrey David K , Halaas Michael , Maddox Thomas M , Gordon Geoff , Dave Trushna , Payne Philip R O , Williams Andrew E , Estrin Deborah 
Published: October 2020

AbstractDigital medical records have enabled us to employ clinical data in many new and innovative ways. However, these advances have brought with them a complex set of demands for healthcare institutions regarding data sharing with topics such as data ownership, the loss of privacy, and the protection of the intellectual property. The lack of clear guidance from government entities often creates conflicting messages about data policy, leaving institutions to develop guidelines themselves. Through discussions with multiple stakeholders at various institutions, we have generated a set of guidelines with 10 key principles to guide the responsible and appropriate use and sharing of clinical data for the purposes of care and discovery. Industry, universities, and healthcare institutions can build upon these guidelines toward creating a responsible, ethical, and practical response to data sharing.
Forecasting VIX Using Filtered Historical Simulation
Authors: Jiang Yushuang , Lazar Emese 
Published: October 2020

AbstractWe propose a new VIX forecast method using Generalized Autoregressive Conditional Heteroscedasticity models based on the filtered historical simulation put forward in Barone-Adesi, Engle, and Mancini (2008). The flexible change of measure accommodates for non-normalities such as negative skewness and positive excess kurtosis. We present an application for four well-established volatility indices (VIX9D, VIX, VIX3M, and VIX6M). Our results show that our proposed estimation method outperforms the Normal-VIX model of Hao and Zhang (2013) both in-sample and out-of-sample. Furthermore, the use of volatility indices reduces the computational burden significantly compared to the options-based pricing method.
Triage Decisions in the Context of COVID-19: Old Burden, New Challenge—The Structured Approach for Intensive Care Unit Triage (SAINT) Protocol
Authors: Jänig Christoph , Forklage Roger , Gurney Jennifer M , Groth Robin , Wirth Christine , van de Krol Hendrik , Schmidbauer Willi , Güsgen Christoph 
Published: October 2020

ABSTRACT

Introduction
The medical treatment facilities (MTF) represent the equivalent of the healthcare system in the home countries, but they face the limitations of an outpost at the end of the supply chain. The capabilities are limited, and the necessary effort to extend the treatment capacity is tremendous.
Algorithms based on scientific evidence or at least profound medical expertise are a tool to facilitate the decision-making process in triage under difficult circumstances. The aim of this article is to present a protocol that regards the specific entities military MTF abroad have to deal with in context of the COVID-19 pandemic.

Material and Methods
To prepare our own health system within the Resolute Support mission, an interdisciplinary team of consultants and nurses located at the multinational role 2E, Camp Marmal, Mazar-e-Sharif, Afghanistan, individually reviewed medical databases and the current literature concerning triage on intensive care units. The identified literature was evaluated by all authors. In the next step, an adapted flow chart for triage on intensive care unit in MTF abroad was set up on the basis of existing triage tools found in the reviewed literature.

Results
The authors created the “Structured Approach for Intensive Care Unit Triage (SAINT)” protocol. It is an approach that fits to the specific entities (e.g., limited medical resources in the whole system, limited intensive care unit capabilities for long-term stay or organ replacement therapy, etc.) that determine the framework of the special military health system abroad.

Conclusions
The presented triage protocol may be a tool for medical personnel to facilitate the difficult task of triaging. It provides guidance along patient-centered criteria like individual medical, ethical, and legal issues while taking into account the available resources. Future studies are needed to investigate the effectiveness of the SAINT protocol.
Migration of Broken Dental Needle Through the Internal Jugular Vein in the Parapharyngeal Space
Authors: Teixeira Jeffrey C , Adidharma Lingga , Coppit George L , Cardoni Wayne 
Published: October 2020

ABSTRACT
Accidental broken dental needles during dental blocks have become a rare occurrence but still occur. Although the treatment for such occurrence is controversial, an increasing body of literature demonstrates that migration of such needles is possible. In this case, we report on a 48-year-old male with migration of a broken dental needle from an inferior alveolar block. Over the course of 2 years, we demonstrated radiological documentation of the course of migration with penetration of the internal jugular vein at the jugular foramen which was subsequently successfully retrieved through a transcervical approach without neurovascular injury. This case is unique given the location of migration to the skull base as well as radiologically documented time course. Furthermore, it highlights the need for prompt retrieval of broken dental needles given the high potential of migration and injury to neurovascular structures.
A Survey of Energy Drink Consumption and Associated Adverse Effects in Air Force Personnel
Authors: Milazzo Nicholas A , Cao Diana X , Diwaker Gunjeeta , Thornton Jennifer A , Shah Sachin A 
Published: October 2020

ABSTRACT

Introduction
Energy drinks are an increasingly utilized beverage and are gaining popularity in recent years. The U.S. Air Force (USAF) represents a unique population where energy drink consumption may be higher than the general population. To better understand the safety and health impact of energy drinks, this large-scale comprehensive survey was conducted to study energy drink consumption patterns and its associated adverse effects.

Materials and Methods
A survey was conducted across 12 USAF installations to assess self-reported energy drink consumption and adverse effects in the military population. This study was approved by the David Grant USAF Medical Center Institutional Review Board.

Results
A total of 9,655 participants participated in the survey. Energy drink consumption was reported in 76.7% of the participants, with 12.0% consuming ≥1 energy drink per day. Male gender, younger age, and enlisted military members are more likely to be high consumers; 58.6% of participants reported having at least once tried a premixed beverage that combines alcohol, caffeine, and other stimulants. Among energy drink users, 60.0% reported experiencing ≥1 adverse effect, and 0.92% reported needing to see a physician or going to the emergency department because of adverse effects from energy drinks. Higher energy drink or premixed combination beverage consumption frequency was associated with increased likelihood of physician or emergency department visits (P ≤ 0.002 for both).

Conclusion
Approximately three in four USAF members reported ever consuming an energy drink. Caution should be exercised on the amount of energy drink consumed to limit the risk of serious adverse effects. Future studies should identify populations at greatest risk for adverse effects and alternative sources of energy maintenance to attain optimal mission readiness.
Evidence for metallicity-dependent spin evolution in the Kepler field
Authors: Amard Louis , Roquette Julia , Matt Sean P 
Published: October 2020

ABSTRACT
A curious rotation period distribution in the colour–magnitude–period diagram (CMPD) of the Kepler field was recently revealed, thanks to data from Gaia and Kepler spacecraft. It was found that redder and brighter stars are spinning slower than the rest of the main sequence. On the theoretical side, it was demonstrated that metallicity should affect the rotational evolution of stars as well as their evolution in the Hertzprung–Rüssel or colour–magnitude diagram. In this work, we combine this data set with medium- and high-resolution spectroscopic metallicities and carefully select main-sequence single stars in a given mass range. We show that the structure seen in the CMPD also corresponds to a broad correlation between metallicity and rotation, such that stars with higher metallicity rotate, on average, more slowly than those with low metallicity. We compare this sample to theoretical rotational evolution models that include a range of different metallicities. They predict a correlation between rotation rate and metallicity that is in the same direction and of about the same magnitude as that observed. Therefore, metallicity appears to be a key parameter to explain the observed rotation period distributions. We also discuss a few different ways in which metallicity can affect the observed distribution of rotation period, due to observational biases and age distributions, as well as the effect on stellar wind torques.
Amalgams: data-driven amalgamation for the dimensionality reduction of compositional data
Authors: Quinn Thomas P , Erb Ionas 
Published: October 2020

Abstract
Many next-generation sequencing datasets contain only relative information because of biological and technical factors that limit the total number of transcripts observed for a given sample. It is not possible to interpret any one component in isolation. The field of compositional data analysis has emerged with alternative methods for relative data based on log-ratio transforms. However, these data often contain many more features than samples, and thus require creative new ways to reduce the dimensionality of the data. The summation of parts, called amalgamation, is a practical way of reducing dimensionality, but can introduce a non-linear distortion to the data. We exploit this non-linearity to propose a powerful yet interpretable dimension method called data-driven amalgamation. Our new method, implemented in the user-friendly R package amalgam, can reduce the dimensionality of compositional data by finding amalgamations that optimally (i) preserve the distance between samples, or (ii) classify samples as diseased or not. Our benchmark on 13 real datasets confirm that these amalgamations compete with state-of-the-art methods in terms of performance, but result in new features that are easily understood: they are groups of parts added together.
An application of compositional data analysis to multiomic time-series data
Authors: Sisk-Hackworth Laura , Kelley Scott T 
Published: October 2020

AbstractCompositional data analysis (CoDA) methods have increased in popularity as a new framework for analyzing next-generation sequencing (NGS) data. CoDA methods, such as the centered log-ratio (clr) transformation, adjust for the compositional nature of NGS counts, which is not addressed by traditional normalization methods. CoDA has only been sparsely applied to NGS data generated from microbial communities or to multiple ‘omics’ datasets. In this study, we applied CoDA methods to analyze NGS and untargeted metabolomic datasets obtained from bacterial and fungal communities. Specifically, we used clr transformation to reanalyze NGS amplicon and metabolomics data from a study investigating the effects of building material type, moisture and time on microbial and metabolomic diversity. Compared to analysis of untransformed data, analysis of clr-transformed data revealed novel relationships and stronger associations between sample conditions and microbial and metabolic community profiles.