bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wind power forecast based on convolutional neural network with multi-feature fusion
Authors: Huang Qiyue , Wang Hao 
Published: December 2020

Abstract
As a renewable clean energy, wind energy has the characteristics of large storage and wide distribution. It is one of the important components of energy internet. However, its strong fluctuation, randomness and discontinuity affect the stable operation of power system. To reduce the impact of wind power on power network and improve the reliability of power prediction, a wind power forecast method based on convolutional neural network with multi-feature fusion is proposed. Firstly, the wind power is classified according to the change characteristic of the waveform. The feature of the wind power waveform is extracted by the convolution neural network (CNN). Then, a prediction model based on multi-feature fusion algorithm is established to accurately predict wind power. Finally, the corresponding simulation model is established to verify that the proposed method can effectively improve the reliability of wind power prediction.
Power quality comprehensive evaluation method based on fuzzy mathematics and cloud theory
Authors: Shen Canran , Hu Lanxin 
Published: December 2020

Abstract
In the comprehensive evaluation of power quality, there exist problems such as the boundary of evaluation index classification and weight distribution which is too subjective or objective. Based on the theory of fuzzy mathematics and cloud, the power quality comprehensive evaluation method was proposed to solve the two problems. This method improves the traditional fuzzy comprehensive evaluation method through variable weight theory and cloud theory, which are fixed weight calculation and membership function construction. Firstly, the superposition variable weight construction method of excitation type in variable weight theory is selected to calculate the weight vector. Secondly, the normal cloud model in cloud theory is used to construct the membership function to comprehensively evaluate power quality. Compared with the traditional fuzzy comprehensive evaluation method, the improved fuzzy comprehensive evaluation method solves the influence of the actual situation of evaluation factors on the index weight and avoids the influence of subjective factors in the membership function construction process of the traditional fuzzy comprehensive evaluation method, making the evaluation results more reasonable and credible. Finally, a practical example is given to prove that the model is more accurate and reasonable.
Design of a discrete-time active disturbance rejection control strategy applied to the current loop of a boost bridgeless converter
Authors: Regino-Ubarnes F J , Espinel-Blanco E E , Gómez-Camperos J A 
Published: December 2020

Abstract
This document describes the analysis of a control technique based on active disturbance rejection. This technique uses a generalized proportional integral observer in discrete time that estimates the disturbances inherent in the system for their subsequent elimination. The efficiency of the controller is verified by simulations of a Boost bridgeless single-phase power converter. The analysis was performed in the context of the reduction of the percentage root mean square error between the reference signal and the input current signal of the converter which results in the correction of the power factor and the reduction of the total harmonic distortion. The performance of the proposed control strategy was demonstrated since the tracking error was reduced even in the presence of disturbances.
Quantification of volatile compounds present in organophosphorus compounds, through the variation of the electrostatic potential in chemical-resistive sensors
Authors: Rivera M A , Gualdron O E , Pelaez D A 
Published: December 2020

Abstract
In the present work is presented a method capable of quantifying a pesticide (organophosphate) or an organic product (Prunus persica), by means of a matrix of chemical-resistive sensors, which are part of a multisensorial system called electronic nose. The sample is placed in a concentration cabin, where a time is established where the amount of volatiles emitted increases, after the fixed period, a flow of these volatiles is generated towards the chamber where the matrix of sensors is arranged, where the volatiles generate enough force for the free electrons of the semiconductor material to react, allowing a constant flow of electric current, this output signal is captured by means of an acquisition card, once all the data is recorded and by means of a pattern recognition system, analysis of main components, the variation of the electrostatic potential provided by the sensors was related to the amount of volatiles present in the sample. The sensors showed a high change in the electrostatic potential, corroborating the capacity of detecting the number of volatiles thrown by the sample, this response accompanied by the statistical analysis has the capacity of creating groupings, one of them is the pure organic product and another is this one, with the presence of the selected chemical compound. With this, a methodology was established that is capable of detecting a change in the electrostatic potential and relate it to the number of volatiles emitted by the sample of study, through a matrix of sensors, coupled to a multisensory system.
Ionic dissolution products of Cerium-doped bioactive glass nanoparticles promote cellular osteogenic differentiation and extracellular matrix formation of human bone marrow derived mesenchymal stromal cells
Authors: Westhauser F , Rehder F , Decker S , Kunisch E , Moghaddam A , Zheng K , Boccaccini A R 
Published: December 2020

Abstract
Cerium (Ce) is a promising candidate ion for application in bone tissue engineering (BTE) since it reduces the presence of reactive oxygen species. Ce-doped mesoporous bioactive glass nanoparticles (MBGNs) serving as vectors for the local application of Ce already demonstrated stimulating effects on the expression of pro-osteogenic genes in Saos-2 cells. So far, there is no evidence available about the effects of Ce-doped MBGNs on the viability, osteogenic differentiation and the formation of the osseous extracellular matrix (ECM) of primary human bone marrow-derived mesenchymal stromal cells (BMSCs). Therefore, in this study, the biocompatibility of the ionic dissolution products (IDPs) of MBGNs containing increasing concentrations of CeO2 (0.05 MCe-MBGNs, composition in mol%: 86.6SiO2-12.1CaO-1.3CeO2; and 0.2 MCe-MBGNs, composition in mol%: 86.0SiO2-11.8CaO-2.2CeO2) and unmodified MBGNs (composition in mol%: 86SiO2-14CaO) was evaluated using human BMSCs. Eventually, the impact of the MBGNs’ IDPs on the cellular osteogenic differentiation and their ability to build and mature a primitive osseous ECM was assessed. The Ce-doped MBGNs had a positive influence on the viability and stimulated the cellular osteogenic differentiation of human BMSCs evaluated by analyzing the activity of alkaline phosphate as a marker enzyme for osteoblasts in the present setting. Furthermore, the formation and calcification of a primitive osseous ECM was significantly stimulated in the presence of Ce-doped MBGNs in a positive concentration-dependent manner as demonstrated by an elevated presence of collagen and increased ECM calcification. The results of this in-vitro study show that Ce-doped MBGNs are attractive candidates for further application in BTE.
Tools for time-course simulation in systems biology: a brief overview
Authors: Musilova Jana , Sedlar Karel 
Published: December 2020

AbstractDynamic modeling of biological systems is essential for understanding all properties of a given organism as it allows us to look not only at the static picture of an organism but also at its behavior under various conditions. With the increasing amount of experimental data, the number of tools that enable dynamic analysis also grows. However, various tools are based on different approaches, use different types of data and offer different functions for analyses; so it can be difficult to choose the most suitable tool for a selected type of model. Here, we bring a brief overview containing descriptions of 50 tools for the reconstruction of biological models, their time-course simulation and dynamic analysis. We examined each tool using test data and divided them based on the qualitative and quantitative nature of the mathematical apparatus they use.
Development and Validation of a Stability-Indicating High-Performance Liquid Chromatographic Method for the Quantification of Methocarbamol and Its Impurities in Pharmaceutical Dosage Forms
Authors: Kalokhe Shivani , Nalwade Santaji , Patil Pallavi , Raskar Poonam 
Published: December 2020

Abstract
A novel, delicate, stability-indicating, gradient, reversed-phase high-performance liquid chromatographic method has been established for the quantitative estimation of methocarbamol (MTC) and its impurities present in a pharmaceutical oral suspension. XBridge C18, 5 μm, 250 mm × 4.6 mm column was used to accomplish chromatographic separation with a buffered mobile phase consisting of a mixture of 0.01 M of sodium dihydrogen phosphate (pH 7.0 buffer) and methanol in the ratio of 95:05 (v/v), respectively, were used as solvent A and a mixture of methanol and Milli-Q water in the ratio 90:10 (v/v), respectively, was used as solvent B. Analysis was carried out at 0.8 mL/min flow rate and the detection wavelength at 225 nm. The compartment temperature of the column is put at 25°C. The resolution of MTC and its four impurities has been attained &gt;2.0 for all pairs of compounds. Significant degradation of MTC was photolytic, thermal and oxidative stress conditions. Validation of the developed method was performed as stated by the International Conference on Harmonization guidelines with regard to all validation parameters like specificity, accuracy, linearity, precision, limit of detection, limit of quantitation and robustness.
The ‘Necessity' of Austerity and its Relationship with the UN Convention on the Rights of Persons with Disabilities: A Case Study of Ireland and the United Kingdom
Authors: O’Sullivan Charles , McNamara Donna 
Published: December 2020

ABSTRACT
Following the Global Financial Crisis of 2008, contractions in the global economy were often utilised as a justification for deep cuts in State spending, including welfare state programmes. This article will problematise the ‘necessity’ of austerity measures and how this conflicts with the intentions of the Convention on the Rights of Persons with Disabilities (CRPD), which requires State intervention to ensure the right to a minimum standard of living (Article 28 CRPD) for such persons. By comparing the arguably voluntary and ideologically driven austerity programme undertaken in the United Kingdom with the externally imposed ‘Bailout Package' in Ireland, it will address whether the Convention may, in limited circumstances, allow for programmes such as these to be deemed compatible with the CRPD among developed States.
Assessing the in vitro impact of ceftazidime on aztreonam/avibactam susceptibility testing for highly resistant MBL-producing Enterobacterales
Authors: Bhatnagar Amelia , Ransom Eric M , Machado María-José , Boyd Sandra , Reese Natashia , Anderson Karen , Lonsway David , Elkins Christopher A , Rasheed J Kamile , Patel Jean B , Karlsson Maria , Brown Allison C , Lutgring Joseph D 
Published: December 2020

Abstract

Background
Aztreonam/avibactam is a combination agent that shows promise in treating infections caused by highly antibiotic-resistant MBL-producing Enterobacterales. This combination can be achieved by combining two FDA-approved drugs: ceftazidime/avibactam and aztreonam. It is unknown whether ceftazidime in the combination ceftazidime/aztreonam/avibactam has a synergistic or antagonistic effect on the in vitro activity of aztreonam/avibactam by significantly increasing or decreasing the MIC.

Objectives
To determine whether increasing ceftazidime concentrations affect the MICs of aztreonam/avibactam alone.

Methods
A custom 8 × 8 chequerboard broth microdilution (BMD) panel was made using a digital dispenser (Hewlett-Packard, Corvallis, OR, USA). The panel included orthogonal 2-fold dilution series of aztreonam and ceftazidime ranging from 0.5 to 64 mg/L. Avibactam concentration was kept constant at 4 mg/L throughout the chequerboard. Thirty-seven Enterobacterales isolates from the CDC & FDA Antibiotic Resistance Isolate Bank or CDC’s internal collection with intermediate or resistant interpretations to aztreonam and ceftazidime/avibactam were included for testing. All isolates harboured at least one of the following MBL genes: blaIMP, blaNDM or blaVIM.

Results
Regardless of the concentration of ceftazidime, aztreonam/avibactam with ceftazidime MICs for all 37 isolates were within one 2-fold doubling dilution of the aztreonam/avibactam MIC.

Conclusions
Ceftazidime, in the combination ceftazidime/avibactam/aztreonam, did not affect the in vitro activity of aztreonam/avibactam in this sample of isolates. These findings can help assure clinical and public health laboratories that testing of aztreonam/avibactam by BMD can act as a reliable surrogate test when the combination of ceftazidime/avibactam and aztreonam is being considered for treatment of highly antibiotic-resistant MBL-producing Enterobacterales.
Evaluation of Latent Fingerprints for Drug Screening in a Social Care Setting
Authors: Pollard Caroline , Sievers Claudia , Royall Paul G , Wolff Kim 
Published: December 2020

AbstractSweat deposited via latent fingerprints (LFPs) was previously used to detect cocaine, opioids, cannabis and amphetamine via a point-of-care test (POCT). This screening method combined non-invasive sampling with a rapid result turnaround to produce a qualitative result outside of the laboratory. We report the novel application of a LFP drug screening test in a social care setting. Clients were tested on either an ad hoc or a routine basis using the POCT DOA114 (Intelligent Fingerprinting Ltd) drug screening cartridge. Screening cutoff values were 45, 35 and 95 pg/fingerprint for benzoylecgonine (BZE), morphine and amphetamine analytes, respectively. Confirmation LFP samples (DOA150, Intelligent Fingerprinting Ltd) and oral fluid (OF) were analyzed using ultra-performance liquid chromatography with tandem mass spectrometry. Thirty-six clients aged 36 ± 11 years participated (53% females). Individuals self-reported alcohol consumption (39%) and smoking (60%). Of 131 screening tests collected over 8 weeks, 14% tested positive for cocaine, 2% tested positive for opioids and 1% tested positive for amphetamine. Polydrug use was indicated in 10% of tests. Of 32 LFP confirmation tests, 63% were positive for cocaine and BZE. Opioids were also detected (31%), with the metabolite 6-monoacetylmorphine (6-MAM) being the most common (16%). In OF, cocaine was the dominant analyte (9%) followed by 6-MAM (5%). On comparing positive LFP screening tests with positive OF samples, we found that 39% and 38% were cocaine and opiate positive, respectively. Of the drugs screened for via the LFP POCT, cocaine was the most prevalent analyte in LFP and OF confirmation samples. The study is a step change in the routine drug screening procedures in a social care setting, especially useful for on-site cocaine detection in clients whose drug use was being monitored. Additionally, testing was easily accepted by clients and social care workers.
Estimating the Size and Distribution of Networked Populations with Snowball Sampling
Authors: Vincent Kyle , Thompson Steve 
Published: December 2020

Abstract
A new strategy is introduced for estimating population size and networked population characteristics. Sample selection is based on a multi-wave snowball sampling design. A generalized stochastic block model is posited for the population’s network graph. Inference is based on a Bayesian data augmentation procedure. Applications are provided to simulated populations and an empirical population. The results demonstrate that statistically efficient estimates of the size and distribution of the population can be achieved.
Do instabilities in high-multiplicity systems explain the existence of close-in white dwarf planets?
Authors: Maldonado R F , Villaver E , Mustill A J , Chávez M , Bertone E 
Published: December 2020

ABSTRACT
We investigate the origin of close-in planets and related phenomena orbiting white dwarfs (WDs), which are thought to originate from orbits more distant from the star. We use the planetary architectures of the 75 multiple-planet systems (four, five, and six planets) detected orbiting main-sequence stars to build 750 dynamically analogous templates that we evolve to the WD phase. Our exploration of parameter space, although not exhaustive, is guided and restricted by observations and we find that the higher the multiplicity of the planetary system, the more likely it is to have a dynamical instability (losing planets, orbit crossing, and scattering), that eventually will send a planet (or small object) through a close periastron passage. Indeed, the fraction of unstable four- to six-planet simulations is comparable to the 25–50${{\ \rm per\ cent}}$ fraction of WDs having atmospheric pollution. Additionally, the onset of instability in the four- to six-planet configurations peaks in the first Gyr of the WD cooling time, decreasing thereafter. Planetary multiplicity is a natural condition to explain the presence of close-in planets to WDs, without having to invoke the specific architectures of the system or their migration through the von Zeipel–Lidov–Kozai effects from binary companions or their survival through the common envelope phase.
Social diversity and bridging identity
Authors: García-Alonso María D C , Wahhaj Zaki 
Published: December 2020

Abstract
We investigate within a model of cultural transmission how policies or shocks that affect social diversity within a population affect social cohesion and segregation. We develop the concept of ‘bridging identity’, an individual trait that (i) positively affects utility in culturally diverse social groups but is immaterial in homogeneous groups and (ii) is fostered in those born in culturally diverse social groups but not in those born in homogeneous groups. We show that medium levels of immigration lead to higher bridging identity in the population; and, for a given immigration target, social segregation is decreasing in the time allowed for achieving this target. If the level and pace of immigration are attuned to existing levels of bridging identity, it is possible to sustain, for the long run, social groups that are culturally diverse. This contrasts with Schelling’s models of residential segregation that typically lead to increasing segregation over time.
The sociocultural context of pediatric pain: an examination of the portrayal of pain in children's popular media
Authors: Mueri Kendra , Kennedy Madison , Pavlova Maria , Jordan Abbie , Lund Tatiana , Neville Alexandra , Belton Joletta , Noel Melanie 
Published: December 2020

Abstract
Pain (eg, needle injections, injuries, and chronic pain) is highly prevalent in childhood and occurs in social contexts. Nevertheless, broader sociocultural influences on pediatric pain, such as popular media, have not been empirically examined. This study examined how pain is portrayed and gendered in children's popular media. A cross-section of children's media targeted towards 4- to 6-year-old children was selected based on popularity, including 10 movies and the first season of 6 television shows. Pain instances were extracted and coded using 2 established observational coding systems assessing sufferer pain characteristics and observer responses (eg, empathic responses). Findings identified 454 instances of pain across the selected media. Violent pain (ie, intentionally inflicted) and injuries were most commonly represented, whereas everyday, chronic-type, and procedural pains were infrequently portrayed. Pain instances were more commonly experienced by boy characters, who also expressed greater distress; yet, observers were more responsive (eg, expressed greater concern) towards girl characters' pain. Overall, observer responses to pain were infrequent, with observers witnessing but not responding to nearly half of pain instances. Observers who did respond expressed an overall lack of empathy towards sufferers. These findings reveal a very narrow depiction of pain presented in children's popular media, with an overall underrepresentation of pain, numerous maladaptive portrayals of pain, and gender differences in both sufferer and observer responses. This study underscores the need for further research to inform how children's popular media is perceived by parents and children and how media may be transformed and harnessed for effective pain education in childhood.
Frequent User System Engagement
Authors: Smith Michelle A. , Moyer Donna 
Published: December 2020

Background:
Patterns of frequent emergency department (ED) use correlate with a variety of care needs. Health care systems should address these needs in collaboration with community health partners.

Local Problem:
Approximately 600 patients frequent a local ED for nonemergent needs. Approximately 15% of those patients are homeless.

Methods:
A program consistent with the Corporation for Supportive Housing's Frequent User System Engagement (FUSE) model was developed and implemented in a community setting. Eleven participants were enrolled in this pilot program.

Interventions:
Eligible candidates enrolled in the program received coordinated multidisciplinary care and stable housing.

Results:
ED visits, primary care provider visits, and number of diagnostic tests and costs changed significantly over time.

Conclusion:
The FUSE program is equipped to address the needs of the whole person, resulting in a meaningful impact on overall health while decreasing frequency of ED visits.
Implementing Prone Positioning for COVID-19 Patients Outside the Intensive Care Unit
Authors: Francisco Mary Ann , Pierce Nicole L. , Ely Elizabeth , Cerasale Matthew T. , Anderson Daniela , Pavkovich David , Puello Frances , Tummala Sandeep , Tyker Albina , D'Souza Felicia R. 
Published: December 2020

Background:
Proning intubated intensive care unit patients for the management of acute respiratory distress syndrome is an accepted standard of practice. We examined the nursing climate in 4 units and its impact on implementing a novel self-proning protocol to treat COVID-19 patients outside the intensive care unit.

Local Problem:
Nursing units previously designated for medical/surgical populations had to adjust quickly to provide evidence-based care for COVID-19 patients attempting self-proning.

Methods:
Nurses from 4 nursing units were surveyed about the implementation process on the self-proning protocol. Their perception of unit implementation was assessed via the Implementation Climate Scale.

Interventions:
A new self-proning nursing protocol was implemented outside the intensive care unit.

Results:
Consistent education on the protocol, belief in the effectiveness of the intervention, and a strong unit-based climate of evidence-based practice contributed to greater implementation of the protocol.

Conclusions:
Implementation of a new nursing protocol is possible with strong unit-based support, even during a pandemic.