bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electronic Health Records Aggregators (EHRagg )
Authors: Prados-Suárez Belén , Molina Fernández Carlos , Yañez Carmen Peña 
Published: October 2020

AbstractBackground Integration of health data systems is an open problem. Most of the active initiatives are based on the use of standards. However, achieving a widely and generalized compliment of such standards still seems a costly task that will take a long time to be completed. Even more, most of the standards are proposed for a specific use, without integrating other needs.Objectives We propose an alternative to get a unified view of health-related data, valid for several uses, that unites heterogeneous data sources.Methods Our proposal integrates developments made so far to automatically learn how to extract and convert data from different health-related systems. It enables the creation of a single multipurpose point of access.Results We present the EhRagg notion and its related concepts. EHRagg is defined as a middleware that, following the FAIR principles, integrates health data sources offering a unified view over them.
Galen: The First Cardiac Surgeon?
Authors: Rajabnejad Mohammad Reza , Ranjbar Maryam , Al-Attar Mohammad 
Published: October 2020

AbstractIt is widely believed that the first and the second pericardium surgeries were done in the nineteenth century by Francisco Romero and Dominique Jean Larrey, respectively; however, Galen was the first surgeon who proceeded with pericardiectomy. This ancient case report of sternum osteomyelitis and pericardiectomy illuminates some dark part of the history of medicine and the ability of physicians in that era.
Fatores de risco modificáveis para fasciíte plantar em pacientes não atletas e proposta de um novo sistema de avaliação objetiva – RKISP
Authors: Choudhary Ranjeet , Kunal Kishor 
Published: October 2020

Resumo
Objetivo Determinar os fatores de risco modificáveis associados à gravidade da fasciíte plantar e formular um sistema objetivo de pontuação para indexação da doença na população não atlética.
Métodos Estudo observacional prospectivo. A principal medida de desfecho foi a associação de um fator de risco modificável, mensurada pelo valor de R (coeficiente de Pearson) e pelo nível de significância de p < 0,05.
Resultados Em uma amostra de 50 pacientes, o índice de massa corporal (IMC) e calçados com amortecimento inadequado foram associados de maneira significativa à dor na fasciíte plantar. Todos os demais fatores de risco eram não modificáveis ou não apresentaram associação significativa.
Conclusão Com base nos dados à disposição e sua interpretação, um índice, denominado Índice de Ranjeet-Kunal de Pontuação da Fasciíte Plantar (RKISP, em inglês) , foi formulado e utilizado com sucesso não apenas na classificação da fasciíte plantar, mas também na determinação do prognóstico de seu tratamento conservativo, auxiliando a escolha da modalidade terapêutica.
A avaliação do método tomográfico glenoid track na ressonância magnética/artro RM
Authors: Godinho Andre Couto , Godinho Pedro Couto , França Flávio de Oliveira , Ribeiro Elísio José Salgado , de Toledo Daniel Carvalho , Franco Guilherme Henrique 
Published: October 2020

Resumo
Objetivo Comparar a avaliação do método glenoid-track (GT) em exames de tomografia computadorizada com reconstrução 3-D (TC-3D) com a avaliação realizada em exames de ressonância magnética (RM) e/ou artro-ressonância magnética (ARM).
Métodos Quarenta e quatro ombros com diagnóstico clínico e radiográfico de instabilidade anterior traumática foram avaliados por meio de exames de TC-3D, RM e/ou ARM. As variáveis GT, intervalo de Hill-Sachs (IHS) e a perda óssea da glenoide (POG) foram realizadas por um médico radiologista, utilizando imagens de TC-3D, e classificadas em on-track/off-track. Três cirurgiões cegos à avaliação do radiologista realizaram o mesmo método utilizando RM/ARM. O estudo realizou análise descritiva, de variância, de associação da discordância de resultados, de concordância e curva característica de operação do receptor.
Resultados Os resultados dos 4 examinadores foram totalmente concordantes em 61,4%. A RM/ARM diagnosticou lesões off-track com a sensibilidade variando de 35 a 65%, e lesões on-track com a especificidade variando de 91,67 a 95,83%. A acurácia variou de 68,1 a 79,5%. A maior divergência de dados ocorreu para o diagnóstico por RM/ARM de lesões off-track. A maior variabilidade dos dados ocorreu para o cálculo do IHS. Valores maiores de IHS e de POG foram associados a maior discordância entre os examinadores. A RM/ARM apresentou menor medida de valores de IHS quando comparado com a TC-3D. Ocorreu apenas moderada concordância no método GT entre a TC e a RM/ARM (Kappa 0,325–0,579).
Conclusão A RM/ARM apresentou baixa acurácia e moderada concordância para o método GT, devendo ser utilizada com cautela por cirurgiões.
Current and Future Medical Therapies for Adenomyosis
Authors: Cope Adela G. , Ainsworth Alessandra J. , Stewart Elizabeth A. 
Published: October 2020

AbstractThere is no approved medical therapy for adenomyosis and limited evidence to guide treatments in part due to the complexity of nonhistologic diagnosis and the prevalence of concomitant gynecologic conditions. Most available evidence focuses on the treatment of heavy menstrual bleeding, painful menses, and pelvic pain. Data evaluating fertility outcomes, sexual function, and quality of life following treatment are lacking. Additionally, there is no disease-specific measure of quality of life for adenomyosis. The levonorgestrel-releasing intrauterine system appears to be the most effective first-line therapy based on efficacy compared with oral agents, maintenance of steady-state hormonal levels, and contraceptive benefit. In areas where it is marketed, the progestin dienogest appears superior to combined oral contraceptives. Long-acting gonadotropin-releasing hormone agonists are effective and should be considered second-line therapy but are limited by hypogonadal effects. Additional data regarding oral gonadotropin-releasing hormone antagonists are required. While aromatase inhibitors demonstrate improvement in heavy menstrual bleeding and pelvic pain, further research is needed to determine their role in the management of adenomyosis. Progesterone receptor modulators may have a role for this disease if released again to market with appropriate safety parameters. Finally, modulation of prolactin and/or oxytocin may provide novel nonsteroidal treatment options.
Treatment Strategies for Unexplained Infertility
Authors: Wang Rui , van Eekelen Rik , Mochtar Monique H. , Mol Femke , van Wely Madelon 
Published: October 2020

AbstractUnexplained infertility is a common diagnosis among couples with infertility. Pragmatic treatment options in these couples are directed at trying to improve chances to conceive, and consequently intrauterine insemination (IUI) with ovarian stimulation and in vitro fertilization (IVF) are standard clinical practice, while expectant management remains an important alternative. While evidence on IVF or IUI with ovarian stimulation versus expectant management was inconclusive, these interventions seem more effective in couples with a poor prognosis of natural conception. Strategies such as strict cancellation criteria and single-embryo transfer aim to reduce multiple pregnancies without compromising cumulative live birth. We propose a prognosis-based approach to manage couples with unexplained infertility so as to expose less couples to unnecessary interventions and less mothers and children to the potential adverse effects of ovarian stimulation or laboratory procedures.
Interface and surface stabilization of the polarization in ferroelectric thin films
Authors: Gattinoni Chiara , Strkalj Nives , Härdi Rea , Fiebig Manfred , Trassin Morgan , Spaldin Nicola A. 
Published: October 2020

Significance
With an ever-increasing societal demand for energy for electronic devices and in the face of the current climate issues, the need for low-energy-consuming electronics has never been greater. Ferroelectrics are promising energy-efficient device components for digital information storage, with the functionality relying on the manipulation of their polarization in ultrathin films. Polar discontinuities at the thin film interfaces and surfaces, however, can cause loss of polarization and thus functionality. Here we show how the interface and surface influence the overall polarization of the thin film. We show that the structure of the interface and surface can be tailored toward a specific polarization direction and strength, and that great control in the engineering of ferroelectrics thin films can be achieved.
Evaluation of Climatic Comfort of Living Environment based on Age Differentials in Beijing-Tianjin-Hebei Area
Authors: Liu Siyu , Long Buju , Pan Zhihua , Lun Fei , Song Yu , Yuan Weiying , Huang Na , Zhang Ziyuan , Ma Shangqian 
Published: October 2020

ABSTRACT
Somatosensory comfort is mainly determined by the Temperature and Humidity Index (THI) with Wind Efficiency Index (WEI), but this conventional usage of these indicators does not capture the age-related differentials. Here we resolved this gap with a modification of the climatic comfort definition and method in a national standard, denoted as the Relative Climate Sensitive Index (RCSI), which incorporated the age-related vulnerability scores determined through online questionnaires with a scoring method, for each of the age-related and adaptive climatic comfort responses to changes in residence with Beijing-Tianjin-Hebei (BTH) region as an example. First, the result showed that the human comfort of living environment decreased with age in the BTH region, implicating age obviously impacted comfort, and weak adaptability made the elderly the relatively most high-risk group – their suitable region was less than a quarter of the whole study region. Second the adverse effects of persistent hot weather on comfort, indicating global warming as the leading driver of dwindling comfort over recent years. As the warming was more significant in the southeastern part, all these forces combined had there a hotspot, appealing for extra attention. Last this improved evaluation accorded with actual situation to captured high-risk groups with their distributions.
PET-enabled dual-energy CT: image reconstruction and a proof-of-concept computer simulation study
Authors: Wang Guobao 
Published: October 2020

Abstract
Standard dual-energy computed tomography (CT) uses two different x-ray energies to obtain energy-dependent tissue attenuation information to allow quantitative material decomposition. The combined use of dual-energy CT and positron emission tomography (PET) may provide a more comprehensive characterization of disease states in cancer and other diseases. However, the integration of dual-energy CT with PET is not trivial, either requiring costly hardware upgrades or increasing radiation exposure. This paper proposes a different dual-energy CT imaging method that is enabled by PET. Instead of using a second x-ray CT scan with a different energy, this method exploits time-of-flight PET image reconstruction via the maximum likelihood attenuation and activity (MLAA) algorithm to obtain a 511 keV gamma-ray attenuation image from PET emission data. The high-energy gamma-ray attenuation image is then combined with the low-energy x-ray CT of PET/CT to provide a pair of dual-energy CT images. A major challenge with the standard MLAA reconstruction is the high noise present in the reconstructed 511 keV attenuation map, which would not compromise the PET activity reconstruction too much but may significantly affect the performance of the gamma-ray attenuation image for material decomposition. To overcome the problem, we further propose a kernel MLAA algorithm to exploit the prior information from the available x-ray CT image. We conducted a computer simulation to test the concept and algorithm for the task of material decomposition. The simulation results demonstrate that this PET-enabled dual-energy CT method is promising for quantitative material decomposition. The proposed method can be readily implemented on time-of-flight PET/CT scanners to enable simultaneous PET and dual-energy CT imaging.
A systematic study on optoelectronic properties of Mn4+-activated Zr-based hexafluoride red phosphors X2ZrF6 (X = K, Na, Cs): first-principles investigation and prospects for warm-white LEDs applications
Authors: Abbas Zeesham , Azam Sikander , Bashir Azmat Iqbal , Marriam Asia , Waqas Muhammad , Alshahrani Thamraa , Haq Bakhtiar Ul 
Published: October 2020

Abstract
The quest for developing energy-efficient and environment-friendly phosphors for lighting devices such as light-emitting diodes (LEDs) is on rise to meet the future energy challenges. In this connection, phosphor-converted white LEDs are promising candidates for the next generation state-of-the-art solid-state lighting technology to substitute the traditional lighting devices such as fluorescent lamps, incandescent lamps, halogen lamps, and backlights for liquid crystal displays. Hereby, we report a systematic analysis on the optoelectronics properties of Zr-based Mn4+-activated phosphors X2ZrF6 (X = K, Na, Cs) for potential optoelectronics and photoluminescence device applications such as LEDs. For the comparative analysis of the first-principles calculations based on full-potential linearized augmented plane wave DFT procedure, we employed spin polarized GGA and GGA + U scheme of exchange and correlation energy potentials. In contrast to parent X2ZrF6 compounds, the band gaps of the Mn-doped X2MnF6 compounds have been lowered considerably. The improvement on band-gap values with GGA + U method reaffirms the famous drawback of GGA-based DFT methods regarding the underestimation of band gaps in highly correlated systems. For the prospects of materials regarding optoelectronics and photoluminescence applications, we first time report a detailed systematic analysis of optical properties such as dielectric functions, energy loss function, reflectivity, absorption coefficient, refractive index and optical conductivity. The materials are weakly photons reflector in IR and visible regions while they are strong photons absorbers in the UV region. In the absence of experimental evidences, indirect evidence of the wide band-gaps of K2ZrF6 and Na2ZrF6 compounds is ascertained via doping of Mn4+ ions. Besides, as all the energy levels of Mn4+ ions are around 4 eV these can also be observed in the experimental absorption spectra.
Numerical investigation of 1550 nm passively mode-locked diode lasers with different gain and absorber configurations
Authors: Aksakal Rukiye , Duman Caglar , Cakmak Bulent 
Published: October 2020

Abstract
In this study, passively mode-locked semiconductor lasers with a central wavelength of 1550 nm are theoretically investigated, consisting of gain and absorption sections. Variation of carrier density with time and pulse profiles of the laser outputs are obtained. Comparative results are obtained for different lengths of the gain sections and absorber sections. In addition, the results are also examined while the absorption section is located between two gain sections and at the far end. It has been found that the devices with two gain sections have higher power and shorter pulse width when the absorber section is located between the two gain sections. Finally, ultrashort stable optical pulses with nearly 800 mW peak power and 1.57 ps duration have been obtained from mode-locked laser diodes with two gain sections and one absorber section located between.
High-resolution two-dimensional atomic microscopy in a tripod-type four-level atomic medium via standing wave fields
Authors: Idrees Muhammad , Ullah Muhib , Amin Bacha Bakth , Ullah Arif , Wang Li-Gang 
Published: October 2020

Abstract
We present an efficient two-dimensional atomic localization in a tripod-type four-level atomic medium using standing-wave fields. The localization behavior is significantly
improved, and the maximum localization probability can be achieved under suitable conditions within the one-wavelength domain. Multiple sharp localized peaks are observed in the one-wavelength domain through examination of the absorption of the weak probe field, and theoretically, high-resolution and high-precision atomic localization can be achieved within a region smaller than λ/12 × λ/12, via the exploitation of quantum-coherence effects in laser–matter interactions. The spatial resolution of the atomic localization is extensively improved, compared to the cases with or without microwave fields studied previously. We believe that the results revealed here might have potential applications for atomic nanolithography, neutral-atom laser cooling and trapping, Bose–Einstein condensation and the center-of-mass wave-function measurements.
Towards a mathematics textbook for supporting 21st century learning: The student perspective
Authors: Kristanto Y D , Santoso E B 
Published: October 2020

Abstract
There is a need to provide 21st century learning through mathematics textbooks. To give valuable input to such an effort, students’ perspective needs to be considered since the students are the ones that get impacted from the effort. Therefore, the present study aims to describe students’ perspective regarding the effort in integrating 21st century learning and mathematics textbook. The study employed mixed methods with a survey approach to investigate the students’ perspective. The findings of this study uncover critical components that should be considered in designing a mathematics textbook for supporting 21st century learning. Based on the findings, a set of recommendations is proposed for a textbook designer.
Substation Equipment Fault Identification Based on Infrared Image Analysis
Authors: Yilin Jin , Jian Sun 
Published: October 2020

Abstract
As a key part of the power system, the substations undertake important work. With the development and construction of smart grids, the status data, image monitoring data, and environmental meteorological data of power systems are gradually being integrated and shared on a unified platform. Traditional models based on theoretical analysis are difficult to deal with multi-dimensional, massive data set information. Under this background, starting from the inherent law of the data itself, the use of machine learning methods combined with the infrared image data of the equipment can achieve intelligent identification and early warning of substation equipment failures. This paper first uses the convolutional neural network to identify the substation equipment in the picture, and then combines the infrared image to perform image registration. Finally, the deep belief network is used to determine whether the device is in wrong condition. The overall substation equipment fault identification is tested on real data, and the experimental results show that the proposed method has high accuracy.
Detection of Transient Junction Temperature Characteristics of High Power IGBT
Authors: Yong Tang , Bo Wang , Hong Chen Yong 
Published: October 2020

Abstract
In this paper, Insulated Gate Bipolar Transistor (IGBT), which is the most widely used full-control power electronic device, is taken as the research object. Under the special working mode of short-time intermittent pulse, with the increase of conduction current, the chip junction temperature of high-power IGBT will rise sharply and fluctuate greatly, causing the operating characteristics of the device to be greatly affected by temperature. The commonly used method of measuring the bottom plate shell temperature with thermocouples and then estimating the steady junction temperature can no longer meet the demand. Firstly, the fluctuation characteristics of junction temperature of high-power IGBT are analyzed. Then, a high-speed infrared thermal imaging device is used to carry out real-time junction temperature detection. The distribution and rising process of instantaneous junction temperature on the chip surface are obtained, which further verifies the correctness of theoretical analysis. The research has important guiding significance for IGBT application design under short-time intermittent pulse operation mode, and also has certain reference value for general operation mode.
Recognition Method of Aerial Insulator Defects Based on Deep Learning
Authors: Wang J F 
Published: October 2020

Abstract
Aiming at the problem of low accuracy of aerial photography insulator defect identification during UAV patrol, a method of insulator defect identification and positioning based on improved YOLOv3 target detection model is proposed. This method uses asymmetric convolutional block (ACB) as the structural block of the convolutional neural network model in the training phase. On the basis of not increasing the inference time, the depth of neural network learning is improved. At the same time, the feature map combination of the pyramid multi-scale detection model is improved, and the distance index parameters of the K-means ++ algorithm are optimized, which is used for target prior frame clustering. The experimental results show that the improved method proposed in this paper improves the recognition accuracy of small defective targets. Without reducing the speed of inference, the average accuracy is increased from 84.5% to 91.9%, which meets the requirements of intelligent inspection of UAVs for overhead transmission lines.
Study on the Temperature Distribution of UHV Arrester Considering the Influence of Wind Speed and Sunlight
Authors: Zhang Pipei , Shi Wei , Wang Peng , Wang Jiangwei , Sun Jingwen 
Published: October 2020

Abstract
Infrared temperature measurement plays an important role in the live detection of UHV arrester with its advantages of high efficiency and accuracy. However, the surface temperature of arrester will be affected by wind speed, sunlight and other external factors, which brings certain difficulties to infrared temperature measurement and fault diagnosis. Based on the principle of finite element, this paper established a three-dimensional temperature field simulation model of UHV AC arrester coupled with thermoelectricity, so as to use the model to simulate and analyze the temperature distribution of arrester under the influence of different wind speed and sunlight. The results show that the increase of wind speed strengthens the air convection and heat dissipation, which makes the maximum surface temperature decrease and the temperature rise decrease due to the internal defect heating of the arrester; the surface temperature of the arrester increases with the increase of solar radiation intensity, and the temperature of the sunny side is higher than that of the back, but the change of temperature rise is not great. The conclusion can be used as a reference for infrared temperature measurement of arrester in nonideal environment.
An Improved Control Strategy to Suppress the DC-Link Voltage Fluctuation for PMSG Wind Turbines
Authors: Wang Peng , Li Jie , Shi Wei 
Published: October 2020

Abstract
Frequency droop control can provide active power for permanent magnet synchronous generator (PMSG) wind turbines when grid frequency varies. However, it would cause dc-link voltage fluctuations. According to the law of the dc-link voltage fluctuations, a improved feedforward control method is proposed to limit voltage fluctuations through adjusting the feedforward coefficient from a fixed value to an variable value in this paper. Compared with the traditional current feedforward control method, it has better performance in stabilizing the dc-link voltage. Results demonstrate that the dc-link voltage fluctuations can be reduced by 70% in some specified cases, which proves that the proposed strategy can be applied to protect dc-link capacitor when PMSG wind turbines provide system inertia supports by frequency droop control. PMSG wind turbines can work as traditional thermal power to provide system inertia supports when grid frequency varies. The analysis results is very beneficial to widely application of PMSG wind turbines.