bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Pharmacist Contact via Telephone vs Letter on Rate of Acquisition of Naloxone Rescue Kits by Patients with Opioid use Disorder
Authors: Hoefling Austin D. , Ash Lauren R. , Linneman Travis W. 
Published: September 2020

Background Limited data describes the effectiveness of strategies to optimize naloxone rescue kit distribution. Mental health clinical pharmacy specialists (CPS) at VA St. Louis HCS aimed to increase distribution of naloxone rescue kits to patients with Opioid Use Disorder (OUD). An informational letter detailing the purpose of rescue kits and how to obtain one were sent to patients with OUD who had no active order for a naloxone rescue kit within the previous year. Roughly half of these patients were targeted for follow-up education via telephone. Methods A retrospective study was conducted comparing the effectiveness of these contact methods. Study groups included those contacted by letter alone and those contacted by both letter and phone call. The primary outcome was order placement for a rescue kit within 90 days of contact. Post-hoc analysis included a multivariate regression, case-control evaluation of variables potentially associated with kit distribution. Results In total, 335 patients were included. Of 185 patients targeted for phone follow-up, 81 were reached (43.8%), and 254 received the letter alone. The primary outcome was achieved by 13 (5.1%) and 52 (64.2%) participants in the letter alone and letter plus phone contact groups, respectively ( p < 0.001). In multivariate analysis, phone contact (OR 38.6; 95% CI 17.5–85.0), nonwhite race (OR 3.4; 95% CI 1.5–7.6), prior participation in the substance abuse rehabilitation treatment program (OR 3.2; 95% CI 1.3–8.0), and current active opioid prescription (OR 3.7; 95% CI 1.3–10.2) were independently associated with an order for a naloxone rescue kit. Conclusions In patients with OUD, those contacted by phone in addition to receiving a letter were significantly more likely to receive a naloxone kit than those contacted via letter alone. In addition to contact by phone, nonwhite race, prior participation in rehabilitation and active opioid prescription were associated with a higher rate of kit obtainment.
A projected Bouligand–Landweber iteration for non-smooth ill-posed problems
Authors: Fu Zhenwu , Chen Yong , Han Bo 
Published: September 2020

Abstract
In this work, we formulate a projected Bouligand–Landweber iteration for non-smooth ill-posed problems. The approach is a combination of Bouligand–Landweber iteration and the projection onto stripes the width of which is controlled by both the noise level and the structure of the operator. Since the forward mapping is not Fréchet differentiable, the convergence analysis will be based on the concept of asymptotic stability and a generalized tangential cone condition. Finally, numerical examples will be presented.
Flow modeling and experimental verification of flow resistors used in microfluidic chips driven by capillary force
Authors: Zhong Hao , Huang Weifeng , Li Yong , Tong Hao , Liu Guodong , Wang Zhiqiang 
Published: September 2020

Abstract
A microfluidic chip driven by capillary force has the advantage of low cost and ease of manufacturing in batches, and its flow behavior is dominated by the geometry and surface characteristics of the microchannel. The design of mirochannel structures is very important for the microfluidic chips. This study presents a semi analytical method for the design of capillary microchannel. In this method, the quasi-steady state approximate solution method of the Young–Laplace equation is used to derive the capillary surface tension, and the parallel flow assumption based on the Reynolds equation is used to derive the resistance of the channel wall. A computational fluid dynamics simulation is used to provide the inlet effect coefficient and channel shape effect coefficient of this model. The availability of the semi analytical model is verified by the experiment. This model realizes the flow analysis of two-dimensional capillary flow channel with a continuous shape of the flow channel wall, providing a fast and accurate method for the structural design of the microfluidic chip driven by capillary force.
Near-infrared nanosecond pulsed laser ablation of silver nanowire in aqueous media for low-power and low-debris laser processing
Authors: Hwang June Sik , Park Jong-Eun , Kim Gun Woo , Lee Huseung , Yang Minyang 
Published: September 2020

Abstract
Silver nanowire (Ag NW) is used as an attractive alternative material to fabricate flexible transparent conductive electrodes (TCE) instead of indium tin oxide, which has brittle characteristics and unstable processing expenses. For practical applications of Ag NW TCE, a proper patterning process is essential because the Ag NW layer is usually formed from the solution process. Laser ablation is one of the promising patterning processes for fabricating Ag NW-based optoelectronic devices. Among the laser processes, the nanosecond near-infrared pulsed laser ablation (NIR PLA) is considered advantageous because it is cheaper than ultrashort or ultraviolet pulsed lasers and causes little damage to the flexible substrate. However, since the Ag NW absorbance in this wavelength is very low, laser processing of Ag NW can deteriorate processing quality due to the remaining debris that resulted from incomplete evaporation of Ag NW. In this study, we report NIR PLA of Ag NW in aqueous media that improved the processing results of Ag NW laser patterning. We found that effective debris removal with a low fluence was a result of advantages such as the reduced heat-affected zone and dispersion of silver nanoparticle debris in the liquid media. Under different processing parameters, the performance of patterned Ag NW improved in liquid media compared to the ambient condition. Significant improvements in the processing quality were also observed in the laser patterning of Ag NW on the flexible substrate without any degradation. Consequently, the patterned flexible Ag NW TCE was successfully fabricated via the proposed process.
Stability threshold of formamidinium lead iodide determined by strain amplitudes
Authors: Karthick S , Rıéos-Ramıérez J J , Velumani S , Martirosyan K S , Castaneda H 
Published: September 2020

Abstract
The mechanical stability of α-phase formamidinium (FA) lead iodide perovskite is investigated using a systematic finite deformation method based on all the possible FA cation orientations, inside an inorganic cage. Two specific strain boundaries of deformation or strain amplitudes were efficiently examined over this optimized pseudo-cubic structure, which needs nine independent elastic constants (EC) to determine the stability. The stable structure was found while applying an initial amplitude limit (0.02), which is attributed to the balanced charge distribution in between the hydrogens (H4, H5 and H2, H3) to the specific iodine (I2) atom. Surprisingly, with increasing amplitude (0.04), the structure was unstable due to their disturbed charge distribution and FA cation tilting as found from electron density difference (EDD) spectrum. From the computational perspective, the obtained EC values, Mulliken charge, and EDD results provide some crucial information’s to understand the reason behind the instability issues based on the FA cation position which is reported so far. Hence, we provide a solid justification regarding the stability threshold of a pseudo-cubic model based on the FA cation position to get an insight into this FA cation-based perovskite material.
Flux flow instability as a probe for quasiparticle energy relaxation time in Fe-chalcogenides
Authors: Leo Antonio , Nigro Angela , Braccini Valeria , Sylva Giulia , Provino Alessia , Galluzzi Armando , Polichetti Massimiliano , Ferdeghini Carlo , Putti Marina , Grimaldi Gaia 
Published: September 2020

Abstract
In this work, we aim to demonstrate the potential of the flux flow instability (FFI) tool as a probe for the evaluation of the quasiparticle energy relaxation time τ
ϵ in iron-based superconductors (IBS). The knowledge of this microscopic parameter, its temperature dependence and the magnetic field influence, turns particularly useful to implement IBS materials in photon detection applications, as well as to get information on the gap symmetry or its anisotropy. Here, we focus on Fe(Se,Te) thin films that both from structural and magnetic properties show the simpler behaviour, thus it can be a reference test for any more complex IBS. By current-voltage characterizations and resistance measurements, we investigate the FFI features in the presence of an external applied magnetic field as a function of the angular dependence between the crystal structure of the film and the orientation of the field. We describe the observed experimental characteristics of FFI within the intrinsic electronic mechanism of Larkin-Ovchinnikov model. In this way, we are able to give a quantitative estimate of τ
ϵ in Fe(Se,Te) that can be compared with evaluation from other techniques such as pump and probe measurements. Thus, the angular measurements of FFI in high magnetic fields are a viable route to the possible mechanisms of quasiparticle relaxation and to the complementary knowledge on its anisotropy.
Expansion of EYM amplitudes in gauge invariant vector space *
Authors: Feng Bo , Li Xiao-Di , Huang Rijun 
Published: September 2020

Abstract
Motivated by the problem of expanding the single-trace tree-level amplitude of Einstein-Yang-Mills theory to the BCJ basis of Yang-Mills amplitudes, we present an alternative expansion formula in gauge invariant vector space. Starting from a generic vector space consisting of polynomials of momenta and polarization vectors, we define a new sub-space as a gauge invariant vector space by imposing constraints on the gauge invariant conditions. To characterize this sub-space, we compute its dimension and construct an explicit gauge invariant basis from it. We propose an expansion formula in this gauge invariant basis with expansion coefficients being linear combinations of the Yang-Mills amplitude, manifesting the gauge invariance of both the expansion basis and coefficients. With the help of quivers, we compute the expansion coefficients via differential operators and demonstrate the general expansion algorithm using several examples.
Optimizing experiment design for chemical measurement
Authors: Toman Blaza , Nelson Michael A , Ma Yong 
Published: September 2020

Abstract
Chemical measurement laboratories that provide a broad range of services rely on efficient and rigorously validated measurement procedures to meet industry demands. The success of these laboratories ultimately hinges upon their ability to produce results that are both fit-for-purpose and affordable. Skillful planning of measurement experiments must therefore provide adequate confidence in results without being overly complex. A statistical procedure is presented that can be used by laboratories to optimize such experiment designs. Inputs to the statistical model are based upon simple criteria such as the number of available samples, expected variabilty of calibration data, and the largest acceptable uncertainty in the result. The outputs of the model guide a measurement scheme that can provide results with as small an uncertainty as possible under specified constraints, such as the desired range of calibration and the number of samples and repeated measurements that should be made. The method and software used to execute this model are demonstrated for planning evaluations of vitamin D in serum that inform clinical medicine diagnostics.
Semi-analytic approximate stability selection for correlated data in generalized linear models
Authors: Takahashi Takashi , Kabashima Yoshiyuki 
Published: September 2020

Abstract
We consider the variable selection problem of generalized linear models (GLMs). Stability selection (SS) is a promising method proposed for solving this problem. Although SS provides practical variable selection criteria, it is computationally demanding because it needs to fit GLMs to many re-sampled datasets. We propose a novel approximate inference algorithm that can conduct SS without the repeated fitting. The algorithm is based on the replica method of statistical mechanics and vector approximate message passing of information theory. For datasets characterized by rotation-invariant matrix ensembles, we derive state evolution equations that macroscopically describe the dynamics of the proposed algorithm. We also show that their fixed points are consistent with the replica symmetric solution obtained by the replica method. Numerical experiments indicate that the algorithm exhibits fast convergence and high approximation accuracy for both synthetic and real-world data.
Design and calibration model of a bioinspired attitude and heading reference system based on compound eye polarization compass
Authors: Liu Xin , Yang Jian , Guo Lei , Yu Xiang , Wang Shanpeng 
Published: September 2020

Abstract
Insects such as honeybees are capable of fusing the information sensed by multiple sensory organs for attitude and heading determination. In this paper, inspired by the sensory fusion mechanism of insects’ polarization compass and haltere, a bioinspired polarization-based attitude and heading reference system (PAHRS) is presented. The PAHRS consists of compound eye polarization compass and inertial measurement unit (IMU). By simulating multi-view structure of the dorsal rim area in insects’ compound eyes, a non-coplanar ‘polarization-opponent (POL)-type’ architecture is adopted for the compound eye polarization compass. The polarization compass has multi-directional observation channels, which is capable of adaptively selecting the angle of polarization and obtaining the polarization vectors. Therefore, the environmental adaptability of the polarization compass can be enhanced. In addition, the integration strategy between the compound eye polarization compass and IMU is proposed. Moreover, the sources of system errors are analyzed to improve the heading angle accuracy, based on which a new calibration model is established to compensate the installation errors of the PAHRS. Finally, experiments are carried out under both clear sky and cloudy conditions. The test results show that the error root mean square of heading angle is 0.14° in clear sky, and 0.42° in partly cloudy conditions.
Burst-and-coast swimming is not always energetically beneficial in fish (Hemigrammus bleheri)
Authors: Ashraf Intesaaf , Van Wassenbergh Sam , Verma Siddhartha 
Published: September 2020

Abstract
Burst-and-coast swimming is an intermittent mode of locomotion used by various fish species. The intermittent gait has been associated with certain advantages such as stabilizing the visual field, improved sensing ability, and reduced energy expenditure. We investigate burst-coast swimming in rummy nose tetra fish (Hemigrammus bleheri) using a combination of experimental data and numerical simulations. The experiments were performed in a shallow water channel where the tetra fish swam against an imposed inflow. High speed video recordings of the fish were digitized to extract the undulatory kinematics at various swimming speeds. The kinematics data were then used in Navier–Stokes simulations to prescribe the undulatory motion for three-dimensional geometrical models of the fish. The resulting steady-state speeds of the simulated self-propelled swimmers agree well with the speeds observed experimentally. We examine the power requirements for various realistic swimming modes, which indicate that it is possible to use continuous swimming gaits that require considerably less mechanical energy than intermittent burst-coast modes at comparable speeds. The higher energetic cost of burst-coast swimming suggests that the primary purpose of intermittent swimming may not be to conserve energy, but it may instead be related to a combination of other functional aspects such as improved sensing and the likely existence of a minimum tail-beat frequency. Importantly, using sinusoidal traveling waves to generate intermittent and continuous kinematics, instead of using experiment-based kinematics, results in comparable power requirements for the two swimming modes.
Sodium alginate-based composites as a collagen substitute for skin bioengineering
Authors: Solovieva Elena V , Teterina Anastasiya Yu , Klein Olga I , Komlev Vladimir S , Alekseev Andrey A , Panteleyev Andrey A 
Published: September 2020

Abstract
The skin is a combination of two different types of tissue—epithelial and connective (mesenchymal). The outer protective layer of the skin, the epidermis, consists of multiple layers of keratinocytes residing on the basement membrane that separates them from the underlying dermis, which consists of a well-vascularized fibrous extracellular matrix seeded mainly by fibroblasts and mesenchymal stromal cells. These skin features suggest that the development of a fibroblast-friendly porous scaffold covered with a flat dense sheath mimicking the basement membrane, and sufficient to support keratinocyte attachment, would be a reasonable approach in the generation of clinically-relevant skin substitutes useful for reconstructive dermatology and burn treatment. Therefore, we developed a procedure to obtain biocompatible composite bilayer scaffolds comprising a spongy dermis-like body (supporting vascularization and appropriate fibroblast and multipotent stromal cell activity) fused with a film-like cover (supporting keratinocyte attachment, growth and differentiation). The sodium alginate (SA), an algae-derived biopolymer, has been used as a base component for these scaffolds while collagen (CL) and fibrinogen (FG) were used as minor additives in variable concentrations. The slow rates of composite SA-based scaffold biodegradation were achieved by using Ba2+ as cross-linking cations. By manipulating the SA/CL/FG ratio we managed to obtain sponge scaffolds with highly interconnected porous structures, with an average pore size ranging from 60 to 300 μm, and sufficient tensile strength (3.12–5.26 MPa). The scaffolds biocompatibility with the major human skin cell types was confirmed by seeding the scaffold sponge compartment with primary skin fibroblasts and subcutaneous adipose-derived stromal cells while the film side biocompatibility was tested using primary human keratinocytes. The obtained results have shown that bilayer alginate-based scaffolds have biological and mechanical properties comparable with CL scaffolds but surpass them in cost efficiency and vascularization ability in the subcutaneous implantation model in laboratory mice.
Ecological redline policy may significantly alter urban expansion and affect surface runoff in the Beijing-Tianjin-Hebei megaregion of China
Authors: Ju Xinhui , Li Weifeng , He Liang , Li Junran , Han Lijian , Mao Jingqiao 
Published: September 2020

Abstract
Urban expansion leads to surface changes that disrupt hydrological processes and increases flooding risks in cities. This increase may be severe in urban megaregions where clusters of cites have agglomerated. The China Ecological Redline Policy (ERP) is a national policy that protects priority areas with high-value ecosystem services. However, it is not clear how the ERP alters megaregion expansion and what this means for surface runoff across entire regions. By integrating specified models, we developed future urban expansion scenarios for 2030 with and without the ERP in the Chinese Beijing-Tianjin-Hebei (BTH) megaregion. The annual surface runoff volume under the ERP scenario decreased by 78 million m3 compared to the non-ERP involved scenario, but the ERP effectiveness at surface runoff regulation was different between the ecological redline areas (ERAs) and the non-ERAs. This suggested that multi-solutions should be incorporated into megaregions, such as regional ERPs and local, nature-based solutions, which could efficiently reduce the risk of urban flooding across whole regions.
Periglacial vegetation dynamics in Arctic Russia: decadal analysis of tundra regeneration on landslides with time series satellite imagery
Authors: Verdonen Mariana , Berner Logan T , Forbes Bruce C , Kumpula Timo 
Published: September 2020

Abstract
Changes in vegetation productivity based on normalized difference vegetation index (NDVI) have been reported from Arctic regions. Most studies use very coarse spatial resolution remote sensing data that cannot isolate landscape level factors. For example, on Yamal Peninsula in West Siberia enhanced willow growth has been linked to widespread landslide activity, but the effect of landslides on regional NDVI dynamics is unknown. Here we apply a novel satellite-based NDVI analysis to investigate the vegetation regeneration patterns of active-layer detachments following a major landslide event in 1989. We analyzed time series data of Landsat and very high-resolution (VHR) imagery from QuickBird-2 and WorldView-2 and 3 characterizing a study area of ca. 35 km2. Landsat revealed that natural regeneration of low Arctic tundra progressed rapidly during the first two decades after the landslide event. However, during the past decade, the difference between landslide shear surfaces and surrounding areas remained relatively unchanged despite the advance of vegetation succession. Time series also revealed that NDVI generally declined since 2013 within the study area. The VHR imagery allowed detection of NDVI change ‘hot-spots’ that included temporary degradation of vegetation cover, as well as new and expanding thaw slumps, which were too small to be detected from Landsat satellite data. Our study demonstrates that landslides can have pronounced and long-lasting impacts on tundra vegetation. Thermokarst landslides and associated impacts on vegetation will likely become increasingly common in NW Siberia and other Arctic regions with continued warming.
A two-stage clustering approach to investigate lifestyle carbon footprints in two Australian cities
Authors: Froemelt Andreas , Wiedmann Thomas 
Published: September 2020

Abstract
Given the key role of households in driving global emissions and resource use, a change in their consumption behaviours towards more sustainable levels is essential to reduce worldwide adverse environmental impacts. Thereby, focusing on cities is especially important because of today’s large share of the global population living in cities and because local authorities are close to the needs of their residents. However, devising targeted and effective policy measures implies a thorough understanding of prevailing consumption patterns and associated environmental consequences. The goal of this article is to investigate and compare household behaviours and lifestyle-induced carbon footprints in Sydney and Melbourne in order to enhance today’s understanding of household consumption in cities of a high-income, high-emission country. For this purpose, we employed a two-stage clustering approach with a Self-Organising Map and a subsequent Ward-clustering. This allowed for including expenditure data along with socio-economic attributes and thus for recognising lifestyle-archetypes. These emerging archetypes represent households with similar characteristics and comparable consumption patterns. Analysing the archetypes in detail and performing a city-comparison based on multi-dimensional scaling revealed similarities and dissimilarities between the two metropoles. ‘Older’ archetypes seem to behave more alike across cities but show different carbon footprints emphasising the importance of regionalised environmental assessments and of city-specific supply chains. Distinct patterns especially emerged in the high- and low-income segments highlighting the different importance of different lifestyles in each city. Socio-economically similar family-archetypes were found in both cities, but some of them showed diverging consumption behaviours. This article showed that studying household-induced environmental impacts in cities should not rely on macro-trends but should rather be based on city-specific analyses that capture local peculiarities and consider socio-economic characteristics and consumption data simultaneously.