bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scalable and fast fabrication of holey multilayer graphene via microwave and its application in supercapacitors
Authors: Bai Yuge , Yin Yuting , Xuan Yingying , Han Xiaogang 
Published: October 2020

Abstract
By virtue of its high specific surface area and low tortuosity for ionic storage and transportation, holey graphene has come to be regarded as a promising material for energy storage devices, such as lithium ion batteries, and supercapacitors. For practical applications, a scalable and green preparation method for holey graphene is required. This work proposes a facile preparation method for holey graphene by simply microwaving pristine graphene in air. Compared with previous scalable methods, this method exhibits much greater efficiency, reducing the preparation time from hours to minutes. The mechanism underlying the microwave irradiation-induced formation of nanosized holes involves the interaction between microwaves, electrons, oxygen in air, and carbon atoms in the defect areas of the graphene. The size, density, and distribution of holes can be controlled by tuning the microwave irradiation time and oxygen concentration. Used as a hybrid conductive agent, the as-prepared holey multilayer graphene increases capacitance retention to 96.25% at high current density (8 A g−1), and 96.48% in long cycles (1 A g−1 and 10 000 cycles).
Experimental evidences support the existence of an aggregation/disaggregation step in the Turkevich synthesis of gold nanoparticles
Authors: Méndez Eduardo , Fagúndez Pablo , Sosa Paola , Gutiérrez María Victoria , Botasini Santiago 
Published: October 2020

Abstract
Turkevich method is one of the most employed techniques to synthesize gold nanoparticles. Despite its simplicity, the mechanism has been an issue of debate over the past years. The general belief is that particles are formed by a classical nucleation and growth theory, originally described by LaMer’s model. In the present work, we provide new experimental evidences that supports either LaMer’s theory and their detractors. In the former model, it is proposed that particles are generated by a burst nucleation form the initial ‘seeds’, from which their growth in a second and quasi-independent step. Instead, our experiments (DLS, UV/VIS and TEM measurements) support the idea that nanoparticles ‘seeds’ tend to form large intermediate clusters at the beginning of the synthesis, that afterwards disassemble to yield the final nanoparticles. However, unlike other reports, we propose that during the cluster formation the particles do not coalesce, instead they come close to each other without losing their identity. As the synthesis continues, these clusters are progressively separated into the final particles. As a consequence, a path to synthesize ultra-narrow size nanoparticles is provided, along with their stability against salt aggregation, and shelf-time. We found that these ultra-homogeneous nanoparticles are stable for several months, making them suitable for many applications in the biomedical and analytical research.
Symmetry induced phonon renormalization in few layers of 2H-MoTe2 transistors: Raman and first-principles studies
Authors: Das Subhadip , Debnath Koyendrila , Chakraborty Biswanath , Singh Anjali , Grover Shivani , Muthu D V S , Waghmare U V , Sood A K 
Published: October 2020

Abstract
Understanding of electron–phonon coupling (EPC) in two-dimensional (2D) materials manifesting as phonon renormalization is essential to their possible applications in nanoelectronics. Here we report in situ Raman measurements of electrochemically top-gated 2, 3 and 7 layered 2H-MoTe2 channel based field-effect transistors. While the

E

2
g

1

and B2g
phonon modes exhibit frequency softening and linewidth broadening with hole doping concentration (p) up to ∼2.3 × 1013/cm2, A1g
shows relatively small frequency hardening and linewidth sharpening. The dependence of frequency renormalization of the

E

2
g

1

mode on the number of layers in these 2D crystals confirms that hole doping occurs primarily in the top two layers, in agreement with recent predictions. We present first-principles density functional theory analysis of bilayer MoTe2 that qualitatively captures our observations, and explain that a relatively stronger coupling of holes with

E

2
g

1

or B2g
modes as compared with the A1g
mode originates from the in-plane orbital character and symmetry of the states at valence band maximum. The contrast between the manifestation of EPC in monolayer MoS2 and those observed here in a few-layered MoTe2 demonstrates the role of the symmetry of phonons and electronic states in determining the EPC in these isostructural systems.
Optimizing laser–plasma interactions for ion acceleration using particle-in-cell simulations and evolutionary algorithms
Authors: Smith Joseph R , Orban Chris , Morrison John T , George Kevin M , Ngirmang Gregory K , Chowdhury Enam A , Roquemore W Mel 
Published: October 2020

Abstract
The development of ultra-intense laser-based sources of high energy ions is an important goal, with a variety of potential applications. One of the barriers to achieving this goal is the need to maximize the conversion efficiency from laser energy to ion energy. We apply a new approach to this problem, in which we use an evolutionary algorithm to optimize conversion efficiency by exploring variations of the target density profile with thousands of one-dimensional particle-in-cell (PIC) simulations. We then compare this ‘optimal’ target identified by the one-dimensional PIC simulations to more conventional choices, such as with an exponential scale length pre-plasma, with fully three-dimensional PIC simulations. The optimal target outperforms the conventional targets in terms of maximum ion energy by 20% and show a noticeable enhancement of conversion efficiency to >2 MeV ions. This target geometry enhances laser coupling to the electrons, while still allowing the laser to strongly reflect from an effectively thin target. These results underscore the potential for this statistics-driven approach to guide research into optimizing laser–plasma simulations and experiments.
Absorbing-state transition in a coevolution model with node and link states in an adaptive network: network fragmentation transition at criticality
Authors: Saeedian Meghdad , San Miguel Maxi , Toral Raul 
Published: October 2020

Abstract
We consider a general model in which there is a coupled dynamics of node states and link states in a network. This coupled dynamics coevolves with dynamical changes of the topology of the network caused by a link rewiring mechanism. Such coevolution model features the interaction of the local dynamics of node and link states with the nonlocal dynamics of link rewiring in a random network. The coupled dynamics of the states of the nodes and the links produces by itself an absorbing phase transition which is shown to be robust against the link rewiring mechanism. However, the dynamics of the network gives rise to significant physical changes, specially in the limit in which some links do not change state but are always rewired. Firstly a network fragmentation occurs at the critical line of the absorbing-state transition, and only at this line, so that fragmentation is a manifestation of criticality. Secondly, in the active phase of the absorbing-state transition, finite-size fluctuations take the system to a single network component consensus phase, while other configurations are possible in the absence of rewiring. In addition, this phase is reached after a survival time that scales linearly with system size, while the survival time scales exponentially with system size when there is no rewiring. A social interpretation of our results contribute to the description of processes of emergence of social fragmentation and polarization.
A narrow window of summer temperatures associated with shrub growth in Arctic Alaska
Authors: Andreu-Hayles Laia , Gaglioti Benjamin V , Berner Logan T , Levesque Mathieu , Anchukaitis Kevin J , Goetz Scott J , D’Arrigo Rosanne 
Published: October 2020

Abstract
Warming in recent decades has triggered shrub expansion in Arctic and alpine tundra, which is transforming these temperature-limited ecosystems and altering carbon and nutrient cycles, fire regimes, permafrost stability, land-surface climate-feedbacks, and wildlife habitat. Where and when Arctic shrub expansion happens in the future will depend in part on how different shrub communities respond to warming air temperatures. Here, we analyze a shrub ring-width network of 18 sites consisting of Salix spp. and Alnus viridis growing across the North Slope of Alaska (68–71°N; 164–149°W) to assess shrub temperature sensitivity and compare radial growth patterns with satellite NDVI (normalized difference vegetation index) data since 1982. Regardless of site conditions and taxa, all shrubs shared a common year-to-year growth variability and had a positive response to daily maximum air temperatures (Tmax) from ca. May 31 (i.e. Tmax ∼6 °C) to early July (i.e. Tmax ∼12 °C), two-thirds of which were significant correlations. Thus, the month of June had the highest shrub growth-temperature sensitivity. This period coincides with the seasonal increase in temperature and phenological green up on the North Slope indicated by both field observations and the seasonal cycle of NDVI (a proxy of photosynthetic activity). Nearly all of the sampled shrubs (98%) initiated their growth after 1960, with 74% initiated since 1980. This post-1980 shrub-recruitment pulse coincided with ∼2 °C warmer June temperatures compared to prior periods, as well as with positive trends in shrub basal area increments and peak summer NDVI. Significant correlations between shrub growth and peak summer NDVI indicate these radial growth patterns in shrubs reflect tundra productivity at a broader scale and that tundra vegetation on the North Slope of Alaska underwent a greening trend between 1980 and 2012.
Pan American interactions of Amazon precipitation, streamflow, and tree growth extremes
Authors: Stahle D W , Torbenson M C A , Howard I M , Granato-Souza D , Barbosa A C , Feng S , Schöngart J , Lopez L , Villalba R , Villanueva J , Fernandes K 
Published: October 2020

Abstract
Rainfall and river levels in the Amazon are associated with significant precipitation anomalies of opposite sign in temperate North and South America, which is the dominant mode of precipitation variability in the Americas that often arises during extremes of the El Niño/Southern Oscillation (ENSO). This co-variability of precipitation extremes across the Americas is imprinted on tree growth and is detected when new tree-ring chronologies from the eastern equatorial Amazon are compared with hundreds of moisture-sensitive tree-ring chronologies in mid-latitude North and South America from 1759 to 2016. Pan-American co-variability exists even though the seasonality of precipitation and tree growth only partially overlaps between the Amazon and mid-latitudes because ENSO forcing of climate can persist for multiple seasons and can orchestrate a coherent response, even where the growing seasons are not fully synchronized. The tree-ring data indicate that the El Niño influence on inter-hemispheric precipitation and tree growth extremes has been strong and stable over the past 258-years, but the La Niña influence has been subject to large multi-decadal changes. These changes have implications for the dynamics and forecasting of hydroclimatic variability over the Americas and are supported by analyses of the available instrumental data and selected climate model simulations.
Impacts of COVID-19-related social distancing measures on personal environmental sound exposures
Authors: Smith Lauren M , Wang Linyan , Mazur Kuba , Carchia Michael , DePalma Glen , Azimi Reza , Mravca Samantha , Neitzel Richard L 
Published: October 2020

Abstract
The COVID-19 pandemic has created substantial and dynamic disruptions in society, personal behavior, and potentially chronic sound exposures, which are associated with hearing loss, cardiovascular disease, and other health impacts. Leveraging preliminary data from our unique nationwide Apple Hearing Study, we explored changes in personal sound exposures resulting from COVID-19-related social distancing. Volunteer participants opted to share environmental sound data from their Apple Watch and headphone sound data from their iPhone. Participants for this analysis were chosen from four states which exhibited diverse responses to COVID-19. Equivalent continuous average sound exposures (in A-weighted decibels, dBA) were computed per person-day and normalized to 8 hour LEX8h exposures. Daily mean LEX8h exposures across two time periods, a baseline period (before the first known US COVID-19 death at the time of analysis) and an intervention period (starting with each state’s first COVID-related public health social distancing announcement and ending on April 22, 2020) were defined to assess changes in sound exposure. We modeled sound levels across 5,894 participants and 516,729 monitored days using a linear mixed-effects model with random effects for participant. The overall reduction in LEX8h between baseline and intervention was 2.6 ± 0.05 dBA (mean ± SE). There was a significant day-of-week effect during the baseline period, with the lowest exposures on Monday and the highest on Saturday. This effect was not noted during the intervention period. COVID-19 social distancing measures were associated with an approximately 3 dBA reduction in personal environmental sound exposures; this represents a substantial and meaningful reduction in this harmful exposure. Our analysis demonstrates the utility of everyday use devices in detecting behavior and exposure changes associated with the COVID-19 pandemic, and the usefulness of longitudinal, large-scale characterization of personal exposures and health impacts using wearable technology.
Dimethyl Ether (DME) and DME/LPG mixtures resistance characteristics of modified natural rubber compounds
Authors: Handayani H , Cifriadi A , Ramadhan A , Falaah A F , Hermawan N , Yuliarita E 
Published: October 2020

Abstract
The use of Liquified Petroleum Gas (LPG) in Indonesia is quite high, the volume reaches 6.7 million tons per year. Indonesia currently still imports 70% of its domestic consumption of LPG, or about IDR 40 trillion. Imports of Liquid Petroleum Gas (LPG) continues to increase every year. Dimethyl ether (DME) is one alternative to renewable fuels because its availability in the country is quite abundant. When DME applied as household fuels, some components such as metals and rubber should include resistance to DME, such as stoves, rubber hoses, rubber components in regulators and tube valves. Lemigas has succeeded in developing a DME resistant stove but still not found a rubber that is resistant to DME. This research aims to find a natural rubber formula that is resistant to DME and DME / LPG mixture. The study was conducted by varying the dose of sulphur (0.5, 1.5, and 3.5 phr) using 2 types of elastomer, Natural Rubber (NR) and Nitrile Butadiene Rubber (NBR). Immersion was carried out in DME and 3 variations of the DME/LPG mixture (10/90, 20/80, 30/70). The results showed that the compound formula using natural rubber with a sulphur dose of 1.5 phr has the best resistance to DME and DME/LPG mixtures.
Assessment of a pharmacy technician medication history program
Authors: Baker Danielle E , Hollinger Meredith K , Mieure Katherine D 
Published: October 2020

Abstract

Purpose
To determine the percentage of unintentional prior-to-admission (PTA) medication list discrepancies captured by second-source verification.

Methods
A prospective, randomized, controlled intervention was conducted on all patients admitted to a large academic medical center with a PTA medication list completed by a pharmacy technician from December 2018 through January 2019. Excluded patients included those admitted as observation status or discharged prior to the time of second-source verification. The following data was collected: patient’s medical record number, age, admission date and time, service admitted to, date and time of completed PTA medication list, date and time of second-source verification, type of second-source verification, medication name, dose, route, frequency, formulation, and confidence level of pharmacy technician completing the initial PTA medication list. Second-source verification was conducted on all medications from a patient’s PTA medication list after completion by a pharmacy technician.

Results
There were a total of 992 medications from the 200 randomly assigned patients with a completed PTA medication list by a pharmacy technician during the study time frame. Of these medications, 116 (11.7%) contained a discrepancy identified by second-source verification. The most common type of discrepancy was omission (67%) followed by dosing, frequency, and formulation. The median time to complete second-source verification was 9 minutes (interquartile range, 5-17 minutes).

Conclusion
Second-source verification at the time of hospital admission helps identify medication discrepancies and may improve medication use safety and prescribing pattern and, accordingly, may contribute to reducing medication errors.
Personality does not predict individual niche variation in a freshwater fish
Authors: Kerr Nicky R , Ingram Travis 
Published: October 2020

AbstractAnimal populations can exhibit considerable interindividual variation in both behavioral traits and niche use, but the potential connections between these characteristics are rarely compared for the same individuals. We aimed to test whether behavioral syndromes were predictive of individual diet or microhabitat in a native New Zealand freshwater fish, Gobiomorphus cotidianus. We carried out laboratory behavioral assays and repeated habitat and diet measurements in a seminatural mesocosm system. We found considerable repeatability in individual behavior, largely consistent with a proactive/reactive behavioral syndrome. We also found modest individual repeatability in microhabitat use and relatively strong individual specialization in diet. However, no measure of niche use in the mesocosms was significantly predicted by individual personality. Further studies of this type will be needed to assess whether links between individual behavior and resource use are more important in other species or ecological contexts.
Laryngeal Chemoreflex in Health and Disease: A Review
Authors: Pathak Shivani , Slovarp Laurie , Clary Matthew S , Jetté Marie E 
Published: October 2020

AbstractThe larynx plays a key role in airway protection via the laryngeal chemoreflex (LCR). This involuntary reflex can be evoked when hazardous substances activate mucosal receptors, which send signals to be processed within the brainstem. Although the LCR is meant to be protective, the reflex can become hyperstimulated, even to benign stimuli, which can result in pathological disorders, such as chronic cough and inducible laryngeal obstruction. In this review, we will outline the mechanism of the LCR and its associated pathological disorders.
Theory of Mind (ToM) Development in Thai Deaf Children
Authors: Siriattakul Parinya , Suttiwan Panrapee , Slaughter Virginia , Peterson Candida C 
Published: October 2020

Abstract
This study explored theory of mind (ToM) development in school-aged deaf children. To address new questions, we gave a standard, well-controlled false-belief test to a large (n = 200) sample of severely-to-profoundly deaf children aged 8–15 years in a non-Western culture (Thailand). There were 190 deaf children of hearing parents and 10 deaf native signers with signing deaf parents, consistent with overall population ratios. Comparing our Thai sample’s ToM performance on standard tests of false-belief understanding with that reported in past studies, our results showed a 67% ToM success rate for Thai severely-to-profoundly deaf children of hearing parents similar to collective findings from past research on smaller samples in Australia, Estonia, France, Great Britain, Sweden, and the United States. Our Thai deaf native signers likewise performed equivalently to native signers of similar age studied in past research in Australia and the United States. Collectively, the detailed findings of our study suggest promising new directions for future studies to pursue in order to build upon this novel and theoretically provocative evidence about how ToM development and ToM delay unfold for school-aged deaf children growing up in varied cultures, school settings, and family circumstances.
Explaining Ethnic Violence: On the Relevance of Geographic, Social, Economic, and Political Factors in Hate Crimes on Refugees
Authors: Liebe Ulf , Schwitter Nicole 
Published: October 2020

Abstract
Many Western societies experience recurring patterns of violence against ethnic minorities, immigrants, refugees, and other asylum seekers, making it important to better understand which conditions increase (or decrease) the likelihood of hate crimes. In this article, we test the relevance of different geographic, social, economic, and political conditions for attacks on refugees. To this end, we conduct an event-history analysis for Germany between 2014 and 2017, when Germany experienced a sharp rise and subsequent decline in assaults on refugees with up to 142 personal and miscellaneous (such as assaults and insults) and 11 arson attacks on refugee homes and refugees per week. We analyse these incidents at the district level and derive hypotheses from theoretical considerations on geographic proximity, social similarity, political opportunity structures, competition for resources, opportunities of contact with foreigners, and differences between East and West Germany. Irrespective of the type of attack, the results of Cox regression models support our theoretical reasoning on diffusion processes, geographical proximity, and the contact hypothesis. There is no support for the model-adopter similarity and competition-for-resources hypothesis. The type of violence matters with regard to the importance of political opportunity structures and differences between East and West Germany. Our findings show the importance of differentiating between different types of violence and accounting for the context-dependency of ethnic violence for future research.