bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimating Bedload From Suspended Load and Water Discharge in Sand Bed Rivers
Authors: Ashley T. C. , McElroy B. , Buscombe D. , Grams P. E. , Kaplinski M. 
Published: January 2020

AbstractEstimates of fluvial sediment discharge from in situ instruments are an important component of large‐scale sediment budgets that track long‐term geomorphic change. Suspended sediment load can be reliably estimated using acoustic or physical sampling techniques; however, bedload is difficult to measure directly and can consequently be one of the largest sources of uncertainty in estimates of total load. We propose a physically informed predictive empirical model for bedload sand flux as a function of variables that are measured using existing acoustic or physical sampling techniques. This model depends on the assumption that concentration and grain size in suspension are in equilibrium with reach‐averaged boundary conditions. Bayesian inference is used to fit model parameters to data from eight sand‐bed rivers and to simulate bedload flux over the available gage record at one site on the Colorado River in Grand Canyon National Park. We find that the cumulative bedload flux during the 9 year period from 2008 to 2016 was 5% of the cumulative suspended sand load; however, instantaneous bedload flux ranged from as little as 1% of instantaneous suspended sand load to as much as 75% of instantaneous suspended sand load due to fluctuations in flow strength and sediment supply. Changes in bedload flux at a constant discharge are indicative of short‐term sediment supply enrichment and depletion. Long‐term average bedload flux cannot be expected to remain constant in the future as the river adjusts to changes in sediment runoff and the dam‐regulated discharge regime.
Cascade surface modification of colloidal quantum dot inks enables efficient bulk homojunction photovoltaics
Authors: Choi Min-Jae , García de Arquer F. Pelayo , Proppe Andrew H. , Seifitokaldani Ali , Choi Jongmin , Kim Junghwan , Baek Se-Woong , Liu Mengxia , Sun Bin , Biondi Margherita , Scheffel Benjamin , Walters Grant , Nam Dae-Hyun , Jo Jea Woong , Ouellette Olivier , Voznyy Oleksandr , Hoogland Sjoerd , Kelley Shana O. , Jung Yeon Sik , Sargent Edward. H. 
Published: January 2020

AbstractControl over carrier type and doping levels in semiconductor materials is key for optoelectronic applications. In colloidal quantum dots (CQDs), these properties can be tuned by surface chemistry modification, but this has so far been accomplished at the expense of reduced surface passivation and compromised colloidal solubility; this has precluded the realization of advanced architectures such as CQD bulk homojunction solids. Here we introduce a cascade surface modification scheme that overcomes these limitations. This strategy provides control over doping and solubility and enables n-type and p-type CQD inks that are fully miscible in the same solvent with complete surface passivation. This enables the realization of homogeneous CQD bulk homojunction films that exhibit a 1.5 times increase in carrier diffusion length compared with the previous best CQD films. As a result, we demonstrate the highest power conversion efficiency (13.3%) reported among CQD solar cells.
Mapping axon initial segment structure and function by multiplexed proximity biotinylation
Authors: Hamdan Hamdan , Lim Brian C. , Torii Tomohiro , Joshi Abhijeet , Konning Matthias , Smith Cameron , Palmer Donna J. , Ng Philip , Leterrier Christophe , Oses-Prieto Juan A. , Burlingame Alma L. , Rasband Matthew N. 
Published: January 2020

AbstractAxon initial segments (AISs) generate action potentials and regulate the polarized distribution of proteins, lipids, and organelles in neurons. While the mechanisms of AIS Na+ and K+ channel clustering are understood, the molecular mechanisms that stabilize the AIS and control neuronal polarity remain obscure. Here, we use proximity biotinylation and mass spectrometry to identify the AIS proteome. We target the biotin-ligase BirA* to the AIS by generating fusion proteins of BirA* with NF186, Ndel1, and Trim46; these chimeras map the molecular organization of AIS intracellular membrane, cytosolic, and microtubule compartments. Our experiments reveal a diverse set of biotinylated proteins not previously reported at the AIS. We show many are located at the AIS, interact with known AIS proteins, and their loss disrupts AIS structure and function. Our results provide conceptual insights and a resource for AIS molecular organization, the mechanisms of AIS stability, and polarized trafficking in neurons.
Polar recruitment of RLD by LAZY1-like protein during gravity signaling in root branch angle control
Authors: Furutani Masahiko , Hirano Yoshinori , Nishimura Takeshi , Nakamura Moritaka , Taniguchi Masatoshi , Suzuki Kanako , Oshida Ryuichiro , Kondo Chiemi , Sun Song , Kato Kagayaki , Fukao Yoichiro , Hakoshima Toshio , Morita Miyo Terao 
Published: January 2020

AbstractIn many plant species, roots maintain specific growth angles relative to the direction of gravity, known as gravitropic set point angles (GSAs). These contribute to the efficient acquisition of water and nutrients. AtLAZY1/LAZY1-LIKE (LZY) genes are involved in GSA control by regulating auxin flow toward the direction of gravity in Arabidopsis. Here, we demonstrate that RCC1-like domain (RLD) proteins, identified as LZY interactors, are essential regulators of polar auxin transport. We show that interaction of the CCL domain of LZY with the BRX domain of RLD is important for the recruitment of RLD from the cytoplasm to the plasma membrane by LZY. A structural analysis reveals the mode of the interaction as an intermolecular β-sheet in addition to the structure of the BRX domain. Our results offer a molecular framework in which gravity signal first emerges as polarized LZY3 localization in gravity-sensing cells, followed by polar RLD1 localization and PIN3 relocalization to modulate auxin flow.
A deep-learning technique for phase identification in multiphase inorganic compounds using synthetic XRD powder patterns
Authors: Lee Jin-Woong , Park Woon Bae , Lee Jin Hee , Singh Satendra Pal , Sohn Kee-Sun 
Published: January 2020

AbstractHere we report a facile, prompt protocol based on deep-learning techniques to sort out intricate phase identification and quantification problems in complex multiphase inorganic compounds. We simulate plausible powder X-ray diffraction (XRD) patterns for 170 inorganic compounds in the Sr-Li-Al-O quaternary compositional pool, wherein promising LED phosphors have been recently discovered. Finally, 1,785,405 synthetic XRD patterns are prepared by combinatorically mixing the simulated powder XRD patterns of 170 inorganic compounds. Convolutional neural network (CNN) models are built and eventually trained using this large prepared dataset. The fully trained CNN model promptly and accurately identifies the constituent phases in complex multiphase inorganic compounds. Although the CNN is trained using the simulated XRD data, a test with real experimental XRD data returns an accuracy of nearly 100% for phase identification and 86% for three-step-phase-fraction quantification.
CaSpER identifies and visualizes CNV events by integrative analysis of single-cell or bulk RNA-sequencing data
Authors: Serin Harmanci Akdes , Harmanci Arif O. , Zhou Xiaobo 
Published: January 2020

AbstractRNA sequencing experiments generate large amounts of information about expression levels of genes. Although they are mainly used for quantifying expression levels, they contain much more biologically important information such as copy number variants (CNVs). Here, we present CaSpER, a signal processing approach for identification, visualization, and integrative analysis of focal and large-scale CNV events in multiscale resolution using either bulk or single-cell RNA sequencing data. CaSpER integrates the multiscale smoothing of expression signal and allelic shift signals for CNV calling. The allelic shift signal measures the loss-of-heterozygosity (LOH) which is valuable for CNV identification. CaSpER employs an efficient methodology for the generation of a genome-wide B-allele frequency (BAF) signal profile from the reads and utilizes it for correction of CNVs calls. CaSpER increases the utility of RNA-sequencing datasets and complements other tools for complete characterization and visualization of the genomic and transcriptomic landscape of single cell and bulk RNA sequencing data.
Polydiacetylene-based ultrastrong bioorthogonal Raman probes for targeted live-cell Raman imaging
Authors: Tian Sidan , Li Haozheng , Li Zhong , Tang Huajun , Yin Mingming , Chen Yage , Wang Shun , Gao Yuting , Yang Xiangliang , Meng Fanling , Lauher Joseph W. , Wang Ping , Luo Liang 
Published: January 2020

AbstractLive-cell Raman imaging based on bioorthogonal Raman probes with distinct signals in the cellular Raman-silent region (1800–2800 cm−1) has attracted great interest in recent years. We report here a class of water-soluble and biocompatible polydiacetylenes with intrinsic ultrastrong alkyne Raman signals that locate in this region for organelle-targeting live-cell Raman imaging. Using a host-guest topochemical polymerization strategy, we have synthesized a water-soluble and functionalizable master polydiacetylene, namely poly(deca-4,6-diynedioic acid) (PDDA), which possesses significantly enhanced (up to ~104 fold) alkyne vibration compared to conventional alkyne Raman probes. In addition, PDDA can be used as a general platform for multi-functional ultrastrong Raman probes. We achieve high quality live-cell stimulated Raman scattering imaging on the basis of modified PDDA. The polydiacetylene-based Raman probes represent ultrastrong intrinsic Raman imaging agents in the Raman-silent region (without any Raman enhancer), and the flexible functionalization of this material holds great promise for its potential diverse applications.
Interpreting pathways to discover cancer driver genes with Moonlight
Authors: Colaprico Antonio , Olsen Catharina , Bailey Matthew H. , Odom Gabriel J. , Terkelsen Thilde , Silva Tiago C. , Olsen André V. , Cantini Laura , Zinovyev Andrei , Barillot Emmanuel , Noushmehr Houtan , Bertoli Gloria , Castiglioni Isabella , Cava Claudia , Bontempi Gianluca , Chen Xi Steven , Papaleo Elena 
Published: January 2020

AbstractCancer driver gene alterations influence cancer development, occurring in oncogenes, tumor suppressors, and dual role genes. Discovering dual role cancer genes is difficult because of their elusive context-dependent behavior. We define oncogenic mediators as genes controlling biological processes. With them, we classify cancer driver genes, unveiling their roles in cancer mechanisms. To this end, we present Moonlight, a tool that incorporates multiple -omics data to identify critical cancer driver genes. With Moonlight, we analyze 8000+ tumor samples from 18 cancer types, discovering 3310 oncogenic mediators, 151 having dual roles. By incorporating additional data (amplification, mutation, DNA methylation, chromatin accessibility), we reveal 1000+ cancer driver genes, corroborating known molecular mechanisms. Additionally, we confirm critical cancer driver genes by analysing cell-line datasets. We discover inactivation of tumor suppressors in intron regions and that tissue type and subtype indicate dual role status. These findings help explain tumor heterogeneity and could guide therapeutic decisions.
Collective exchange processes reveal an active site proton cage in bacteriorhodopsin
Authors: Friedrich Daniel , Brünig Florian N. , Nieuwkoop Andrew J. , Netz Roland R. , Hegemann Peter , Oschkinat Hartmut 
Published: January 2020

AbstractProton translocation across membranes is vital to all kingdoms of life. Mechanistically, it relies on characteristic proton flows and modifications of hydrogen bonding patterns, termed protonation dynamics, which can be directly observed by fast magic angle spinning (MAS) NMR. Here, we demonstrate that reversible proton displacement in the active site of bacteriorhodopsin already takes place in its equilibrated dark-state, providing new information on the underlying hydrogen exchange processes. In particular, MAS NMR reveals proton exchange at D85 and the retinal Schiff base, suggesting a tautomeric equilibrium and thus partial ionization of D85. We provide evidence for a proton cage and detect a preformed proton path between D85 and the proton shuttle R82. The protons at D96 and D85 exchange with water, in line with ab initio molecular dynamics simulations. We propose that retinal isomerization makes the observed proton exchange processes irreversible and delivers a proton towards the extracellular release site.
„Leben heißt nicht nur lebendig zu sein“ – Die Wirkung einer Freizeitreise für Palliativpatienten auf Lebensqualität und soziale Integration: eine Analyse mittels audioregistrierter Leitfadeninterviews
Authors: Kaiser Florian , Vehling-Kaiser Ursula , Hoffmann Ana , Schmidt Jörg , Kaiser Ulrich 
Published: January 2020

Zusammenfassung
Ziel der Studie Neben der palliativmedizinischen Versorgung fordern die Deutsche und die Europäische Gesellschaft für Palliativmedizin die Berücksichtigung der sozialen Bedürfnisse von Patienten mit weit fortgeschrittenen und unheilbaren Erkrankungen. Soziale Isolation kann die Lebensqualität und den Krankheitsverlauf verschlechtern oder zur Verkürzung der Lebensdauer führen. Diese Arbeit soll den Effekt eines Integrationsprojekts auf den persönlichen (Lebensqualität, Selbstsicherheit, Krankheitsbewältigung) und sozialen (gesellschaftliche Reintegration) Nutzen für Palliativpatienten analysieren.
Methodik Im Anschluss an eine mehrtägige Reise für Palliativpatienten nach Rom wurden 17 Teilnehmer und sieben Betreuer zum soziopsychologischen Gewinn mittels audioregistrierter telefonischer Leitfadeninterviews befragt. Die Interviews wurden transkribiert und in einem mehrstufigen Prozess inhaltsanalytisch ausgewertet und zusammengefasst.
Ergebnisse Eine organisierte Reise steigerte die soziale Integration, Lebensqualität und Selbstsicherheit von Palliativpatienten und führte zu einer besseren Krankheitsbewältigung.
Schlussfolgerung Die Aussagen von Patienten und Betreuern spiegeln die Notwendigkeit und den Nutzen der gesellschaftlichen Integration von Palliativpatienten wider.
Impact of Task-Oriented Role Assignment on Neonatal Resuscitation Performance: A Simulation-Based Randomized Controlled Trial
Authors: Litke-Wager Carrie , Delaney Heather , Mu Thornton , Sawyer Taylor 
Published: January 2020

AbstractObjective Task-oriented role assignment (TORA) is the assignment of a specific role, a list of tasks, and a location to stand to each resuscitation team member. We performed this study to examine the impact of TORA training during a Neonatal Resuscitation Program (NRP) course on neonatal resuscitation team technical performance and behavioral skills.Study Design Participants were cluster randomized into either a standard NRP course (control) or an NRP course with TORA training. Both technical and behavioral skills were evaluated using standardized simulations. The simulations were video recorded and then scored by two blinded reviewers using previously validated instruments.Results A total of 65 participants (62 resident physicians and 3 nurses) participated in 108 simulations (48 controls, 60 TORA). Technical skill scores were similar between the two groups (control = 77.6% [±8.4] vs. TORA = 78.1% [±8.1]; p = 0.74). The TORA group had higher behavior skill scores in 8 of the 10 NRP key behavioral skills and had higher overall behavioral skill scores (control = 30.1 [±7.2] vs. TORA = 34.9 [±4.8]; p < 0.001).Conclusion In resuscitation teams comprising mostly resident physicians, TORA training resulted in better behavioral skills during simulated neonatal resuscitation. Further study on the impact of TORA training on actual resuscitation performance in interdisciplinary teams is warranted.
The effect of proficiency, gender, and
learning style on the occurrence of negotiated
interaction in communicative task
performance
Authors: Pawlak Miroslaw 
Published: January 2020

Abstract
Apart from positive
evidence, or information about what is possible in
the target language (TL), second language learners
also need negative evidence, or information about
what is not possible in the TL, and opportunities
to engage in output production (Gass, 2003).
As postulated by the cognitive-interactionist
approach, these conditions can be met through
opportunities for negotiated interaction. Building
on previous research (e.g., Gass & Varonis, 1986;
Iwashita,
2001; Porter, 1996; Rassaei, 2015), this study
investigated the impact of English learners’
proficiency, gender, and learning style on the
occurrence, nature, and outcomes of negotiation in
two tasks, which differed with respect to the
presence of information gap. Results provide some
evidence for the mediating role of gender and
learning style but not proficiency, with task type
being an important mediating variable.
Synthesizing cross-theoretical explorations
of interlocutors and their individual
differences
Authors: Gurzynski-Weiss Laura 
Published: January 2020

Abstract
The theoretical and
empirical contributions of this current volume are
united in their efforts to examine interlocutors
and their individual differences. In this final
chapter, I demonstrate how the four approaches –
the cognitive-interactionist approach (Philp &
Gurzynski-Weiss; Pawlak); sociocultural theory
(Lantolf; Back); the variationist approach
(Geeslin; Long & Geeslin); and complex dynamic
systems theory (Larsen-Freeman; Serafini) – while,
on the surface may appear to be markedly
different, are all moving in harmony towards a
more comprehensive understanding of the nature of
interlocutors and their individual differences. I
will also discuss how this shared advancement
provides a more accurate picture of the complex
influences that affect second language
development. Finally, I will highlight the trends
and areas for future research common across all
approaches, providing concrete suggestions for
those interested in conducting research on this
topic.
Synthesis of the subsystem of supervision for grinding operation
Authors: Kharchenko A O 
Published: January 2020

Abstract
The article discusses the issues of building a dynamic system for assessing the state of a flat grinding operation, taking into account the statistical characteristics of the disturbances. To build the Kalman-Bucy filter, a program has been developed that allows solving the Riccati equations of the object and the filter. The calculation of the Kalman-Bussy filter coefficients for the stationary mode of the flat grinding process has been performed. This allows you to assess the state of the system in real time, and even in the case of measuring only one coordinate, the filter gives estimates of all coordinates, and the maximum estimation errors do not exceed 10%.
Recognition of underframe corrosion of automobile bodies using infrared themography methods
Authors: Kosenko Ekaterina , Zorin Vladimir , Baurova Natalia 
Published: January 2020

Abstract
The article describes the methodology of experimental studies on the detection and quantification of under-paint corrosion of metal parts with the use of infrared thermography. This study provides a description of the process of reducing the performance of a metal structure over time on the basis of the mathematical apparatus of the theory of catastrophe. The dependence of the diagnostic signal on the color of the paint coat, which characterizes the presence of a hidden corrosion defect is presented. Suggestions for the implementation of this method to evaluate the degree of corrosion damage in control objects with various colored paint coats are proposed.
Multi-level control of high-pressure sodium lamps parameters network technology
Authors: Semenov A D , Volkov A V 
Published: January 2020

Abstract
We created a mathematical model of a sodium high-pressure lamp. To develop the model, we used a mathematical model. An analytical method was used to describe the operation of a sodium lamp based on differential equations. We also used the singular value decomposition algorithm to find the coefficients of the ARMA model. Also, the transfer function of the ARMA model was obtained. Then we tested the models to control the quality of sodium lamps in production. The obtained results of the simulation coincide with the experimental results. Using a series of tests based on the singular value decomposition method, we confirmed the adequacy of elaborated model by Wilcoxon criterion.
Perspectives for organization of internal porous structure of loaded elements of optimal topology
Authors: Alekhin P A , Glebov A O , Karpov S V 
Published: January 2020

Abstract
The solution to the problem of topological optimization (TO) is often a complex irregular distribution of material. For this reason, the use of such results until recently was limited to theoretical studies. Modern additive technologies (AT) can solve this problem. A promising feature of AT is the possibility of obtaining a porous internal macrostructure of products. This can be used to optimize their mass during bending loads. In this paper, the problem of minimizing the compliance of a fixed two-dimensional beam is solved. The obtained structure was produced of ABS plastic according to the technology of layer-by-layer fusion of the material at different values of internal porosity. Standard three-point bending tests are implemented. It is shown that the use of porous products is a promising approach to reduce material consumption while maintaining the configuration of the stress-strain state. All other conditions being equal, these samples have greater plasticity and are capable of taking up large loads compared to monolithic products of the same mass.
Super engineering polyesters: synthesis and performance characteristics
Authors: Borodulin A S , Kalinnikov A N 
Published: January 2020

Abstract
The method of polycondensation allows to produce aromatic polyesters of various composition and structure. In this study, the structure and performance characteristics of the synthesized polymers have been investigated. It has been explained that the resulted aromatic polyesters have appropriate performance characteristics for using them as the base for producing prepregs and engineering polymeric materials with desired parameters in order to replace essential parts made of metals and metal alloys with the similar plastic ones in various industrial equipment.
Simulation and optimization of vacuum assisted resin infusion process for large-sized structures made of carbon fiber-reinforced plastics
Authors: Maung Pyi Phyo , Htet Tun Lin , Malysheva G V 
Published: January 2020

Abstract
Vacuum assisted resin infusion (VARI) is a process applied to manufacture large structures of composite materials, such as aircraft wing and fuselage skins, but the process parameters are designed by experience or lots of experiments. In this paper, the filling process of VARI for composite fuselage skin was analyzed based on simulation and optimized location of resin inlet ports. Firstly, we made 3D model of fuselage skin and simulated impregnation process. Secondly, we determined the location and quantity of resin inlet ports based on simulation results. The simulations showed that it is advisable to reduce the filing time not only by adding the resin inlet quantity, but also choosing optimal locations.