bluuebunny/crossref_metadata_2025_split huggingface dataset:
Set‐based gain‐scheduled control via quasi‐convex difference inclusions
Authors: Sala Antonio , Ariño Carlos , Robles Ruben 
Published: September 2020

SummaryA nonlinear system with sector‐bounded nonlinearities may be expressed as a quasi‐linear parameter‐varying (LPV) system (convex combination of linear models), being this a well‐known fact. The convex difference inclusion (CDI) modeling framework proposed by Fiacchini and coworkers in several of their works generalizes the quasi‐LPV modeling procedure and proposes robust controllers enlarging polytopic domain of attraction estimates. This works further generalizes the CDI approach to a gain‐scheduled case including, also, some quasi‐convex cases. Controller design is based on convexity properties of two set valued maps describing (with some uncertainty) the state evolution and the state‐dependent set where scheduling variables take values. As most set‐based approaches, the proposal is tractable in low‐dimensional cases. The presented results encompass prior quasi‐LPV and CDI models as particular cases.
Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory
Authors: Zhou Yihong , Ma Fengying , Ding Feng , Xu Ling , Alsaedi Ahmed , Hayat Tasawar 
Published: September 2020

SummaryThis article studies the parameter estimation problems of radial basis function‐based state‐dependent autoregressive models with autoregressive noises (RBF‐ARAR models). To reduce the effect of the colored noise to parameter estimation, the data filtering technique is applied and a filtering based generalized stochastic gradient algorithm is derived for the RBF‐ARAR models. In order to achieve more accurate parameter estimates, a filtering based multiinnovation generalized stochastic gradient (F‐MI‐GSG) algorithm is proposed by utilizing the current and past innovations. Introducing two forgetting factors, a filtering based multiinnovation generalized forgetting gradient algorithm is developed to improve the transient performance of the F‐MI‐GSG algorithm. The effectiveness of the proposed algorithms is verified through the simulation examples.
Effects of extreme high flow events on macroinvertebrate communities in Vermont streams
Authors: Stamp Jen , Moore Aaron , Fiske Steve , Gerritsen Jeroen , Bierwagen Britta , Hamilton Anna 
Published: September 2020

AbstractHeavy precipitation events and subsequent high flows are occurring with greater frequency and intensity, which could have substantial implications for biomonitoring programs that typically evaluate changes in biological condition due to stressors at local and watershed scales. In this study we evaluated response and recovery of macroinvertebrate communities at nine reference quality streams located in multiple watersheds throughout Vermont to flooding from Tropical Storm (TS) Irene in 2011. At each site, the Vermont Department of Environmental Conservation (VT DEC) had collected macroinvertebrate data on an annual basis from 2009–2013. We compared the data collected in the days and weeks following TS Irene (2011) to samples collected for 2 years prior to the event (2009–2010) and 2 years after (2012–2013). While most metrics used in Vermont's biocriteria did not demonstrate a response to TS Irene, density showed a significant reduction in 2011 (across sites, percent change ranged from −24 to −91%; mean −66%). The percent change in density at each site was significantly correlated with the amount of localized rainfall during the storm (rs= −0.79,p= .02) and was most evident at small to medium‐sized, high gradient streams. Reduced density caused several of these sites to fail to meet minimum criteria for biological integrity, though densities rebounded the following year. While the quick recovery indicated resiliency at these reference streams, the timing and magnitude of flood events may decrease the ability of biomonitoring programs to accurately evaluate the effect of watershed stressors.
Explaining the negative impact of workplace incivility on work and non‐work outcomes: The roles of negative rumination and organizational support
Authors: He Yimin , Walker Jessica M. , Payne Stephanie C. , Miner Kathi N. 
Published: September 2020

AbstractResearch studies have shown that workplace incivility is associated with numerous negative work and non‐work outcomes. The underlying mechanisms explaining why workplace incivility is associated with these outcomes, as well as contextual buffers of these relationships, have received less attention. This study extends workplace incivility research by examining the mediating role of negative rumination as a potential factor undergirding the relationship between experiences of incivility from colleagues at work and detrimental outcomes. We also investigated perceived organizational support and family supportive work environment as potential mitigators of the indirect relationship between incivility and negative outcomes. Data were collecfrom 154 university faculty members on two occasions. The results showed that negative rumination mediated the relationships between workplace incivility and both work (job satisfaction, burnout) and non‐work (work‐to‐family conflict, life satisfaction) outcomes. Furthermore, results from the moderated mediation analyses revealed that perceived organizational support buffered the mediated effect of negative rumination and job satisfaction and a family‐supportive work environment buffered the mediated effect of negative rumination on work‐to‐family conflict. Overall, the results demonstrate that negative rumination helps explain why workplace incivility negatively affects both work and non‐work outcomes and underscores the important role of organizational context as buffers for these relationships.
Incorporating of Lanthanides Ions into Perovskite Film for Efficient and Stable Perovskite Solar Cells
Authors: Song Zonglong , Xu Wen , Wu Yanjie , Liu Shuainan , Bi Wenbo , Chen Xinfu , Song Hongwei 
Published: September 2020

AbstractSince Yan's work, incorporation of some lanthanide elements, such as Eu and Nd, into MAPbI3 layer has been proven to be a powerful strategy on improving the permanence of the perovskite solar cells (PSCs). However, a comprehensive configuration has not been given for different lanthanide elements doping while the mechanism has not been clarified. Herein, the incorporation of various lanthanides ions (Ln3+ = Ce3+, Eu3+, Nd3+, Sm3+, or Yb3+) into perovskite films to largely enhance the performance of PSCs is presented. Arising from the enlarged grain size and crystallinity of perovskite film upon Ln3+ ions doping, the efficiency and stability of PSCs are significantly improved. Extraordinarily, PSCs with Ce3+ doping achieve the best performance, with a champion power conversion efficiency (PCE) of 21.67% in contrast to 18.50% for pristine PSCs, and outstanding long‐term and UV irradiation stability. Such high performance of PSCs after Ce3+ doping originates from special Ce3+/Ce4+ redox pair and the unique 4f‐5d absorption in the UV region. Finally, the flexible PSCs with low‐temperature preparation are explored. Considering the richer deposition of cerium element in the earth and lower price, the findings may provide new opportunities for developing low‐cost, highly efficient, air/UV stable, and flexible PSCs.
Understanding the Role of Metal–Organic Frameworks in Surface‐Enhanced Raman Scattering Application
Authors: Huang Chuanhui , Li Ailin , Chen Xiangyu , Wang Tie 
Published: September 2020

AbstractMetal–organic frameworks (MOFs), built from organic linkers and metal ions/clusters, have emerged as highly promising materials for wide applications. Combining highly porous crystalline MOFs with the surface‐enhanced Raman scattering (SERS) technique can achieve unprecedented advantages of high selectivity, high sensitivity, and expedience in analysis and detection. In this critical review, the aim is to present a comprehensive review of recent advances in understanding of the roles of MOFs in MOF‐SERS systems, particularly their structure‐to‐property correlation. Key examples are selected from representative literature to illustrate critical concepts and the MOF‐based property‐dependent applications are particularly emphasized. Finally, the barriers, future trends, and prospects for further advances in MOF‐SERS platforms are also discussed.
Probing and Resolving the Heterogeneous Degradation of Nickel‐Rich Layered Oxide Cathodes across Multi‐Length Scales
Authors: Wang Jian , Kim Hwiho , Hyun Hyejeong , Jo Sugeun , Han Jeongwoo , Ko DongHyuk , Seo Sungjae , Kim Juwon , Kong Hui , Lim Jongwoo 
Published: September 2020

AbstractNi‐rich layered oxides (NRLO) are widely considered among the most promising cathode materials for high energy‐density lithium ion batteries. However, the high proportion of Ni content accelerates the cycling degradation that restricts their large‐scale applications. The origins of degradation are indeed heterogeneous and thus there are tremendous efforts devoted to understanding the underlying mechanisms at multi‐length scales spanning atom/lattice, particle, porous electrode, solid‐electrolyte interface, and cell levels and mitigating the degradation of the NRLO. This review combines various advanced in situ/ex situ analysis techniques developed for resolving NRLO degradation at multi‐length scales and aims to convey a comprehensive picture of its heterogeneous degradation mechanism. This contribution starts with discussing various factors influencing NRLO stability and proceeds to elaborate the multi‐scale characterization, including synchrotron‐based X‐ray diffraction, X‐ray absorption spectroscopy, X‐ray imaging, Raman spectroscopy, electron microscopy, online‐electrochemical mass spectrometry, and secondary ion mass spectrometry. Further, the detailed degradation mechanisms at each length scale are analyzed, and corresponding strategies to alleviate the degradation are evaluated. By conveying the progress (mainly between the years 2015 and 2020), methods, insights, and perspectives, this review contributes significantly to the understanding and tackling of the cycling degradation of NRLO.
NASICON Li1.2Mg0.1Zr1.9(PO4)3 Solid Electrolyte for an All‐Solid‐State Li‐Metal Battery
Authors: Zhou Qiongyu , Xu Biyi , Chien Po‐Hsiu , Li Yutao , Huang Bing , Wu Nan , Xu Henghui , Grundish Nicholas S. , Hu Yan‐Yan , Goodenough John B. 
Published: September 2020

AbstractA thin solid electrolyte with a high Li+ conductivity is used to separate the metallic lithium anode and the cathode in an all‐solid‐state Li‐metal battery. However, most solid Li‐ion electrolytes have a small electrochemical stability window, large interfacial resistance, and cannot block lithium‐dendrite growth when lithium is plated on charging of the cell. Mg2+ stabilizes a rhombohedral NASICON‐structured solid electrolyte of the formula Li1.2Mg0.1Zr1.9(PO4)3 (LMZP). This solid electrolyte has Li‐ion conductivity two orders of magnitude higher at 25 °C than that of the triclinic LiZr2(PO4)3. 7Li and 6Li NMR confirm the Li‐ions in two different crystallographic sites of the NASICON framework with 85% of the Li‐ions having a relatively higher mobility than the other 15%. The anode–electrolyte interface is further investigated with symmetric Li/LMZP/Li cell testing, while the cathode–electrolyte interface is explored with an all‐solid‐state Li/LMZP/LiFePO4 cell. The enhanced performance of these cells enabled by the Li1.2Mg0.1Zr1.9(PO4)3 solid electrolyte is stable upon repeated charge/discharge cycling.
Performance assessment of a concrete railway bridge by diagnostic load testing
Authors: Duvnjak Ivan , Bartolac Marko , Damjanović Domagoj , Košćak Janko 
Published: September 2020

AbstractDiagnostic load testing can be a suitable method for condition assessment of existing bridges. This paper presents the evaluation of a concrete railway bridge built in the 1940s based on diagnostic load testing. The test was the outcome of a visual inspection and preliminary theoretical analysis that found the bridge to be in unsatisfactory condition. Unlike the other possibilities that infrastructure management bodies have in such situations, for example, structure replacement, traffic reorganization, closure of the bridge, etc., diagnostic load testing is a low cost and quick method that indicates the bridge response to real traffic load. The paper describes the test plan and implementation covering the static and dynamic load tests. The experimental methods comprise superstructure displacements measurement, strain measurement on concrete and reinforcement and determination of bridge dynamic parameters. The obtained test results analysis enabled more accurate diagnosis of the actual bridge condition. The bridge demonstrated satisfactory load bearing capacity and response to real service load in terms of registered levels of displacement and strain and proper dynamic performance.
Application of response surface methodology to optimize alkali‐activated slag mortar with limestone powder and glass powder
Authors: Zhang Lanfang , Zhai Jianjin 
Published: September 2020

AbstractAn experimental and statistical investigation is carried out to analyze the influences of three variables (limestone powder, glass powder, and alkali content) on performance of alkali activated slag mortar. Response surface methodology (RSM) was used to model all measured responses like 28‐day flexural and compressive strength, water absorption, and dry shrinkage. Analysis of variance showed that all developed models were statistically significant. The interaction between the corresponding variables was analyzed using three‐dimensional response surface plots that were drawn using developed regression models. Optimization was performed using desirability approach of the RSM with an objective to maximize 28‐day flexural and compressive strength while minimizing water absorption and drying shrinkage. The optimum values of limestone powder, glass powder, and alkali content with highest desirability of 0.706 are 15.80, 17.02, and 6.71%, respectively. The predicted combination was validated by confirmatory tests and the error in prediction was found to be within 3.5%.
Multiscale Molecular Modelling of ATP‐Fueled Supramolecular Polymerisation and Depolymerisation**
Authors: Perego Claudio , Pesce Luca , Capelli Riccardo , George Subi J. , Pavan Giovanni M. 
Published: September 2020

AbstractFuel‐regulated self‐assembly is a key principle by which Nature creates spatiotemporally controlled materials and dynamic molecular systems that are in continuous communication (molecular exchange) with the external environment. Designing artificial materials that self‐assemble and disassemble via conversion/consumption of a chemical fuel is a grand challenge in supramolecular chemistry, which requires a profound knowledge of the factors governing these complex systems. Here we focus on recently reported metal‐coordinated monomers that polymerise in the presence of ATP and depolymerise upon ATP hydrolysis, exploring their fuel‐regulated self‐assembly/disassembly via multiscale molecular modelling. We use all‐atom simulations to assess the role of ATP in stabilising these monomers in assemblies, and we then build on a minimalistic model to investigate their fuel‐driven polymerisation and depolymerisation on a higher scale. In this way, we elucidate general aspects of fuel‐regulated self‐assembly that are important toward the rational design of new types of bioinspired materials.
Traumatic asphyxia successfully treated with jidabokuippo
Authors: Nakae Hajime , Irie Yasuhito , Satoh Kasumi , Kitamura Toshiharu , Kameyama Koumei , Furuya Tomoki , Okuyama Manabu 
Published: September 2020

ABSTRACTCaseA 29‐year‐old man presented with traumatic asphyxia associated with symptoms of ecchymosis over the face, conjunctival hyperemia, and a blood‐red puffy face. Jidabokuippo (JDI), a traditional Japanese Kampo medicine to alleviate static blood™1 was administered. The blood‐red puffy face improved dramatically.OutcomeSymptoms improved after treatment with JDI.ConclusionJDI can be used for the management of ecchymosis and swelling following traumatic asphyxia.
Agitation and impulsivity in mid and late life as possible risk markers for incident dementia
Authors: Bateman Daniel R. , Gill Sascha , Hu Sophie , Foster Erin D. , Ruthirakuhan Myuri T. , Sellek Allis F. , Mortby Moyra E. , Matušková Veronika , Ng Kok Pin , Tarawneh Rawan M. , Freund‐Levi Yvonne , Kumar Sanjeev , Gauthier Serge , Rosenberg Paul B. , Ferreira de Oliveira Fabricio , Devanand D. P. , Ballard Clive , Ismail Zahinoor ,   for The International Society to Advance Alzheimer's Research and Treatment (ISTAART), Neuropsychiatric Syndromes Professional Interest Area (NPS‐PIA)
Published: September 2020

AbstractTo identify knowledge gaps regarding new‐onset agitation and impulsivity prior to onset of cognitive impairment or dementia the International Society to Advance Alzheimer's Research and Treatment Neuropsychiatric Syndromes (NPS) Professional Interest Area conducted a scoping review. Extending a series of reviews exploring the pre‐dementia risk syndrome Mild Behavioral Impairment (MBI), we focused on late‐onset agitation and impulsivity (the MBI impulse dyscontrol domain) and risk of incident cognitive decline and dementia. This scoping review of agitation and impulsivity pre‐dementia syndromes summarizes the current biomedical literature in terms of epidemiology, diagnosis and measurement, neurobiology, neuroimaging, biomarkers, course and prognosis, treatment, and ongoing clinical trials. Validations for pre‐dementia scales such as the MBI Checklist, and incorporation into longitudinal and intervention trials, are needed to better understand impulse dyscontrol as a risk factor for mild cognitive impairment and dementia.
Caveolae, CD109, and endothelial cells as targets for treating Alzheimer's disease
Authors: Fessel Jeffrey 
Published: September 2020

AbstractReduced functionality of transforming growth factor β (TGF‐β) is a major pathogenetic component of Alzheimer's disease (AD). The reduction is caused by an ≈50% decrease in the AD brain of the TGF‐β receptor, TGFBR, causing a bottleneck effect that reduces the downstream actions of TGF‐β, which is highly disadvantageous for brain function. Degradation of TGFBR occurs in caveolae with participation by caveolin‐1 (Cav‐1) and CD109. Mechanisms for this are discussed. In the cerebral microcirculation, endothelial cells (which are rich in caveolae) carry CD109 as a surface marker that co‐precipitates with Cav‐1. Atorvastatin reduced Cav‐1 by 75% and, because Cav‐1 and CD109 co‐immunoprecipitate reciprocally, atorvastatin would also reduce the level of CD109. Administration of atorvastatin as a component of combination therapy would diminish the degradation of TGFBR and thereby benefit patients with AD.
Gear fault detection based on instantaneous frequency estimation using variational mode decomposition and permutation entropy under real speed scenarios
Authors: Sharma Vikas 
Published: September 2020

AbstractStructural compactness with multiple meshing points excites multiple vibrations in a planetary gearbox of a wind turbine operating at varying speeds. The nonstationary, multicomponent vibration signals result in complex modulations challenging the effectiveness of a signal processing technique‐based fault diagnosis method. This paper aims to detect gear tooth faults under varying speed conditions based on the instantaneous frequency (IF) estimate of the decomposed component. Vibration signals were decomposed using variational mode decomposition (VMD), which is capable of frequency demodulation by exhibiting mono‐oscillatory components, followed by the IF estimation to select the most sensitive decomposed mode. The selected sensitive mode was further analyzed to deduce envelope spectrums for the extraction of frequency components highlighting fault symptoms. Furthermore, permutation entropy (PE) was evaluated to characterize the presence of randomness due to fault severity and to validate the proposed signal processing approach. In this paper, the vibration signals simulating planet gear faults were analyzed using the proposed signal processing approach. Symptoms of planet tooth faults were analyzed using the experimental investigation under real‐time varying speed to validate and exhibit the effectiveness of the proposed fault diagnosis approach for a planetary gearbox.
A Precise Geoid Model for Africa: AFRgeo2019
Authors: Abd-Elmotaal Hussein A. , Kühtreiber Norbert , Seitz Kurt , Heck Bernhard 
Published: September 2020

AbstractIn the framework of the IAG African Geoid Project, an attempt towards a precise geoid model for Africa is presented in this investigation. The available gravity data set suffers from significantly large data gaps. These data gaps are filled using the EIGEN-6C4 model on a 15′× 15′ grid prior to the gravity reduction scheme. The window remove-restore technique (Abd-Elmotaal and Kühtreiber, Phys Chem Earth Pt A 24(1):53–59, 1999; J Geod 77(1–2):77–85, 2003) has been used to generate reduced anomalies having a minimum variance to minimize the interpolation errors, especially at the large data gaps. The EIGEN-6C4 global model, complete to degree and order 2190, has served as the reference model. The reduced anomalies are gridded on a 5′× 5′ grid employing an un-equal weight least-squares prediction technique. The reduced gravity anomalies are then used to compute their contribution to the geoid undulation employing Stokes’ integral with Meissl (Preparation for the numerical evaluation of second order Molodensky-type formulas. Ohio State University, Department of Geodetic Science and Surveying, Rep 163, 1971) modified kernel for better combination of the different wavelengths of the earth’s gravity field. Finally the restore step within the window remove-restore technique took place generating the full gravimetric geoid. In the last step, the computed geoid is fitted to the DIR_R5 GOCE satellite-only model by applying an offset and two tilt parameters. The DIR_R5 model is used because it turned out that it represents the best available global geopotential model approximating the African gravity field. A comparison between the geoid computed within the current investigation and the existing former geoid model AGP2003 (Merry et al., A window on the future of geodesy. International Association of Geodesy Symposia, vol 128, pp 374–379, 2005) for Africa has been carried out.
Past and Future Sea Level Changes and Land Uplift in the Baltic Sea Seen by Geodetic Observations
Authors: Nordman M. , Peltola A. , Bilker-Koivula M. , Lahtinen S. 
Published: September 2020

AbstractWe have studied the land uplift and relative sea level changes in the Baltic Sea in northern Europe. To observe the past changes and land uplift, we have used continuous GNSS time series, campaign-wise absolute gravity measurements and continuous tide gauge time series. To predict the future, we have used probabilistic future scenarios tuned for the Baltic Sea. The area we are interested in is Kvarken archipelago in Finland and High Coast in Sweden. These areas form a UNESCO World Heritage Site, where the land uplift process and how it demonstrates itself are the main values. We provide here the latest numbers of land uplift for the area, the current rates from geodetic observations, and probabilistic scenarios for future relative sea level rise. The maximum land uplift rates in Fennoscandia are in the Bothnian Bay of the Baltic Sea, where the maximum values are currently on the order of 10 mm/year with respect to the geoid. During the last 100 years, the land has risen from the sea by approximately 80 cm in this area. Estimates of future relative sea level change have considerable uncertainty, with values for the year 2100 ranging from 75 cm of sea level fall (land emergence) to 30 cm of sea-level rise.