bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lattice Collective Interaction Engineered Optical Activity in Metamaterials
Authors: Xie Fei , Wu Wei , Ren Mengxin , Cai Wei , Xu Jingjun 
Published: November 2019

AbstractThe metamaterials with chiral metamolecular structure designs would show optical activity. In the past, researchers devoted themselves to proper designs of the individual metamolecules to improve the optical activity performance, however the roles of the lattice collective modes in the metamaterial array to the final optical activity have received much less attention. Here, how collective resonances can be utilized to engineer the optical activity of the metamaterials is systematically studied. Metamaterial arrays consisting of various numbers of “L”‐shaped chiral metamolecules are fabricated. It is illustrated that the intermolecule collective interactions are capable to dramatically improve the quality factor of the resonances of metamolecule ensembles. Also, it is shown that with the aid of lattice collective resonances, the spectral linewidth of the optical rotation and ellipticity angle modification to the light collapse efficiently and the magnitudes of the optical activity effects can be dramatically boosted. Both the spectral line collapses and the optical activity magnitude becomes saturated as the size of metamaterial array becomes larger than certain sizes, which implies the maximum coupling length between the metamolecules. The results provide a new freedom in optimizing the optical activity of the chiral metamaterials.
From Pb to Bi: A Promising Family of Pb‐Free Optoelectronic Materials and Devices
Authors: Wu Cuncun , Zhang Qiaohui , Liu Ganghong , Zhang Zehao , Wang Duo , Qu Bo , Chen Zhijian , Xiao Lixin 
Published: November 2019

AbstractLead‐based organic–inorganic hybrid perovskite materials are widely used in optoelectronic devices due to their excellent photophysical properties. However, the main issues which hinder its commercialization are the toxicity caused by lead and the intrinsic instability of the material. Recently, many lead‐free halide materials with good intrinsic stability have been reported, among which bismuth‐based halide materials have attracted extensive research due to their structure and promising optoelectronic properties. In this review, bismuth‐based materials are divided into binary BiX3 (X = I, Br, Cl), ternary AaBibXa+3b (A = Cs, Rb, MA, Ag, etc.), and quaternary A2AgBiX6 (A = Cs, Rb, MA, etc.) according to its elemental composition. The structure and optoelectronic properties of bismuth‐based halide materials, which may be helpful for the development of bismuth‐based halide materials and lead‐free perovskites in the future, are summarized and highlighted.
The flow behaviors of nanoparticle‐stabilized bubbles in microchannel: Influence of surface hardening
Authors: Yu Xiaoxi , Wang Ruoyu , Wu Yining , Ma Youguang 
Published: November 2019

AbstractThis work aims at understanding the influence of nanoparticle (NP) adsorption on the bubble behaviors in three‐dimensional pore throat structures and straight microchannel. Results show that the assembly of NPs at gas‐liquid interface plays a pivotal role in determining bubble behaviors. The adsorption of NPs at bubble surface results in an increase of surface elastic modulus to 112.4 mN/m. The flow field surrounding bubble was measured by microparticle image velocimetry and demonstrates first the influences of NPs adsorption on the velocity gradient close to bubble surface. The surface of nanoparticle‐dodecyltrimethyl ammonium bromide (NP‐DTAB) complexes stabilized bubble tends to harden and behaves as solid wall in tangential directions. The degree of surface hardening increases with the improvement of NP amphipathy, which leads to an augment of the shear force acting on bubble surface. Consequently, NP‐DTAB complexes stabilized bubbles possess high flow resistance and are easier to break.
Modeling of biocatalytic reactions: A workflow for model calibration, selection, and validation using Bayesian statistics
Authors: Eisenkolb Ina , Jensch Antje , Eisenkolb Kerstin , Kramer Andrei , Buchholz Patrick C. F. , Pleiss Jürgen , Spiess Antje , Radde Nicole E. 
Published: November 2019

AbstractWe present a workflow for kinetic modeling of biocatalytic reactions which combines methods from Bayesian learning and uncertainty quantification for model calibration, model selection, evaluation, and model reduction in a consistent statistical framework. Our workflow is particularly tailored to sparse data settings in which a considerable variability of the parameters remains after the models have been adapted to available data, a ubiquitous problem in many real‐world applications. Our workflow is exemplified on an enzyme‐catalyzed two‐substrate reaction mechanism describing the symmetric carboligation of 3,5‐dimethoxy‐benzaldehyde to (R)‐3,3′,5,5′‐tetramethoxybenzoin catalyzed by benzaldehyde lyase fromPseudomonas fluorescens. Results indicate a substrate‐dependent inactivation of enzyme, which is in accordance with other recent studies.
Resveratrol addition to Chinese hamster ovary cell culture media: The effect on cell growth, monoclonal antibody synthesis, and its chemical modification
Authors: Toronjo‐Urquiza Luis , Acosta‐Martin Adelina E. , James David C. , Nagy Tibor , Falconer Robert J. 
Published: November 2019

AbstractThe effect of the addition of resveratrol to cell culture media during the production of monoclonal antibodies was investigated. Treatments of Chinese hamster ovary (CHO) cells expressing immunoglobulin G (IgG) with 25 and 50 μM resveratrol showed that resveratrol was capable of slowing cell growth while almost doubling cell‐specific productivity to 4.7 ± 0.6 pg IgG/cell·day, resulting in up to a 1.37‐fold increase of the final IgG titer. A resveratrol concentration of 50 μM slowed the progression through the cell cycle temporarily by trapping cells in the S‐phase. Cation exchange chromatography showed no significant difference in the composition of acidic or basic IgG species and size exclusion chromatography indicated no change in fragmentation or aggregation of the recombinant IgG in the treatment groups. Resveratrol could be used as a chemical additive to CHO media where it would enhance IgG productivity and provide a degree of protection against hydroxyl and superoxide free radicals, expanding the range of options for process improvement available to monoclonal antibody manufacturers.
Synthesis of Pyridoclax Analogues: Insight into Their Druggability by Investigating Their Physicochemical Properties and Interactions with Membranes
Authors: De Pascale Martina , Iacopetta Domenico , Since Marc , Corvaisier Sophie , Vie Véronique , Paboeuf Gilles , Hennequin Didier , Perato Serge , De Giorgi Marcella , Sinicropi Maria Stefania , Sopkova‐De Oliveira Santos Jana , Voisin‐Chiret Anne‐Sophie , Malzert‐Freon Aurélie 
Published: November 2019

AbstractPyridoclax is considered a promising anticancer drug, acting as a protein‐protein interaction disruptor, with potential applications in the treatment of ovarian, lung, and mesothelioma cancers. Eighteen sensibly selected structural analogues of Pyridoclax were synthesized, and their physicochemical properties were systematically assessed and analyzed. Moreover, considering that drug‐membrane interactions play an essential role in understanding the mode of action of a given drug and its eventual toxic effects, membrane models were used to investigate such interactions in bulk (liposomes) and at the air‐water interface. The measured experimental data on all original oligopyridines allowed the assessment of relative differences in terms of physicochemical properties, which could be determinant for their druggability, and hence for drug development.
Adult neurogenesis in crayfish: Origin, expansion, and migration of neural progenitor lineages in a pseudostratified neuroepithelium
Authors: Brenneis Georg , Beltz Barbara S. 
Published: November 2019

AbstractTwo decades after the discovery of adult‐born neurons in the brains of decapod crustaceans, the deutocerebral proliferative system (DPS) producing these neural lineages has become a model of adult neurogenesis in invertebrates. Studies on crayfish have provided substantial insights into the anatomy, cellular dynamics, and regulation of the DPS. Contrary to traditional thinking, recent evidence suggests that the neurogenic niche in the crayfish DPS lacks self‐renewing stem cells, its cell pool being instead sustained via integration of hemocytes generated by the innate immune system. Here, we investigated the origin, division and migration patterns of the adult‐born neural progenitor (NP) lineages in detail. We show that the niche cell pool is not only replenished by hemocyte integration but also by limited numbers of symmetric cell divisions with some characteristics reminiscent of interkinetic nuclear migration. Once specified in the niche, first generation NPs act as transit‐amplifying intermediate NPs that eventually exit and produce multicellular clones as they move along migratory streams toward target brain areas. Different clones may migrate simultaneously in the streams but occupy separate tracks and show spatio‐temporally flexible division patterns. Based on this, we propose an extended DPS model that emphasizes structural similarities to pseudostratified neuroepithelia in other arthropods and vertebrates. This model includes hemocyte integration and intrinsic cell proliferation to synergistically counteract niche cell pool depletion during the animal's lifespan. Further, we discuss parallels to recent findings on mammalian adult neurogenesis, as both systems seem to exhibit a similar decoupling of proliferative replenishment divisions and consuming neurogenic divisions.
Retracted: Distributed buildings energy storage charging load forecasting method considering parallel deep learning model
Authors: Yang Shengying , Wu Jianfeng , Qin Huibin , Xie Qiangqiang , Xu Zhiwang , Hua Yongzhu 
Published: November 2019

SummaryAt present, with total building energy consumption accounts for about 21.33% of the energy consumption of social terminals, the building energy consumption has a tendency to continue to grow. According to the geographical location of users and the local weather conditions, we analyze the energy resources available to users and design a multienergy complementary coupling system. We have taken full account of the use of renewable energy and recovery of waste heat resources. Large‐scale increase of electrical equipment, a large number of charging load access to the grid, the power system planning, operation and operation of the electricity market will have a profound impact. The current mode of the supercapacitor and the DC bus determines the mode of operation of the converter. Based on a detailed analysis of each working mode, we design a corresponding control scheme and achieve a smooth transition and switching between modes. Simulation and experiment verify the correctness and effectiveness of the converter and hybrid energy storage control strategy.
Mass Spectrometry‐Based Untargeted Plant Metabolomics
Authors: Perez de Souza Leonardo , Alseekh Saleh , Naake Thomas , Fernie Alisdair 
Published: November 2019

AbstractMetabolomics has grown into one of the major approaches for systems biology studies, in part driven by developments in mass spectrometry (MS), providing high sensitivity and coverage of the metabolome at high throughput. Untargeted metabolomics allows for the investigation of metabolic phenotypes involving several hundreds to thousands of metabolites. In this approach, all signals in a mass chromatogram are processed in an unbiased way, allowing for a deeper investigation of metabolic phenotypes, but also resulting in significantly more complex data processing and post‐processing steps. In this article, we discuss all the intricacies involved in extracting and analyzing metabolites by chromatography coupled to MS, as well as the processing and analysis of such datasets. © 2019 The Authors.Basic Protocol 1: Metabolite extraction for LC‐MSAlternate Protocol: Methyl tert‐butyl ether (MTBE) extraction for multiple mass spectrometry platforms (GC‐polar, LC‐polar, LC‐lipid)Basic Protocol 2: LC‐MS analysisSupport Protocol 1: GC‐MS derivatization and analysisSupport Protocol 2: Lipid analysisBasic Protocol 3: LC‐MS data processingBasic Protocol 4: Data analysisBasic Protocol 5: Metabolite annotationSupport Protocol 3: Molecular networking using MetNetSupport Protocol 4: Co‐injection of authentic standards
Including Pregnant Women in Clinical Research: Practical Guidance for Institutional Review Boards
Authors: Payne Pamela 
Published: November 2019

ABSTRACTScanty evidence exists about the safety and effectiveness of drugs—and of their efficacious dosing—that women may need to treat acute and chronic health issues during their pregnancies. This lack of evidence puts pregnant women and their fetuses at risk of harm from the use or avoidance of drugs during pregnancy. In light of the protectionist approach in regulations governing research with pregnant women and fetuses, trial sponsors, researchers, clinicians, and institutional review boards (IRBs) have been reluctant to include pregnant women in clinical drug trials, applying ethical reasoning for exclusions that reflects a default exclusionary approach. Yet in recent years, many clinicians, researchers, bioethicists, and professional societies have called for a reexamination of the routine practice of excluding pregnant women from clinical research. This paper proposes a practical approach to an ethical framework for IRBs that supports fair inclusion, rather than routine exclusion, of pregnant women in clinical research. This guidance will aid IRBs in ethically including and appropriately protecting pregnant women in research.
Assessment of the population of Ostrea edulis in Sweden: A marginal population of significance?
Authors: Thorngren Linnea , Bergström Per , Dunér Holthuis Thomas , Lindegarth Mats 
Published: November 2019

Abstract

The European flat oyster Ostrea edulis is an economically and ecologically important species subjected to extensive protection and restoration efforts, due to sharp population declines in Europe. In Sweden, O. edulis occurs at the northern fringe of its range. Knowledge of the distribution and abundance of the species is limited, and the size of the population has never been estimated. Oyster fishery sustainability has never been assessed.

Using a random sampling approach and towed video, we collected data on oyster occurrence at 435 sites to estimate abundance and distribution of O. edulis in the Swedish Skagerrak region. Furthermore, the size of the population was assessed and the current management and legislation strategy of the species was analyzed.

Living O. edulis was found in 27% of all sampled sites above 6 m, and the size of the population was estimated to 36.6 ± 16.3 million individuals (total population ± SE). The distribution was patchy, and approximately 60% of the population was found in oyster bed densities (≥5 oysters/m2), which corresponds to around 1% of the sampled sites.

The nondestructive sampling method and representative design provided useful estimates of population size and error, which indicate that the marginal population of O. edulis in Sweden constitutes a significant part of the remaining European population. We argue that the relatively good status of the Swedish population can be explained by (a) private ownership of fishing rights, (b) a small‐scale fishery that exploits <0.5% of the estimated population annually, conducted using nondestructive methods, and (c) parasite‐free waters, potentially due to effective prevention of spread of infection.

Open Research Badges

This article has earned an Open Data Badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. The data is available at https://osf.io/jgpxw/?view_only=d070b45802a4426da028efffde3d0f76.
Habitat selection and potential fitness consequences of two early‐successional species with differing life‐history strategies
Authors: Catlin Daniel , Gibson Daniel , Friedrich Meryl J. , Hunt Kelsi L. , Karpanty Sarah M. , Fraser James D. 
Published: November 2019

AbstractHabitat selection and its relationship to fitness is a fundamental concept in ecology, but the mechanisms driving this connection are complex and difficult to detect. Despite the difficulties in understanding such intricate relationships, it is imperative that we study habitat selection and its relationship with fitness. We compared habitat selection of least terns (Sternula antillarum) and piping plovers (Charadrius melodus) on the Missouri River (2012–2014) to examine the consequences of those choices on nest and chick survival. We hypothesized that plovers and terns would select habitat that minimized the chance of flooding and predation of eggs, chicks, and adults, but that plovers would also select habitat that would provide foraging habitat for their chicks. We developed an integrated habitat selection model that assessed selection across multiple scales (sandbar and nest scales) and directly modeled the effect of selection on nest and chick survival. In general, the species selected habitat in keeping with our hypotheses, such that predation and flooding, in particular, may have been reduced. Sandbar selection had either a negative or no appreciable effect on nest survival for both species across years. Nest‐site selection in 2012 had a generally positive effect on nest survival and chick survival for both terns and plovers, and this trended toward a negative effect by 2014. This result suggested that early selection decisions appeared to be adaptive, but we speculate that relatively high site fidelity and habitat degradation led to reduced benefit over time. Our results highlight the complex nature of habitat selection and its relationship to fitness.
Land use from water quality: development of a water quality index across Pennsylvania streams
Authors: Wertz Timothy A. , Shank Matthew K. 
Published: November 2019

AbstractAnthropogenic stressors to lotic environments are diverse and often act in complex and synergistic ways through space and time. The need to adequately quantify and communicate these stressors in lotic environments is important for assessing stream health and informing management decisions. We used 21 physicochemical parameters from water quality samples and weighted each parameter by relationships with land use to develop a water quality index (WQI) across lotic environments in Pennsylvania. Four dominant land use categories were identified from water quality analysis: forested, urban, agriculture, and land disturbance. These categories were indexed (0–100) with low scores representing disturbed and high scores representing least‐disturbed conditions for each land use category. We propose an interpretation and validation schema for establishing an overall measure of stress, while providing insight into both expected and unexpected sources of stress. The WQI was highly correlated with land use at a coarse scale, where scores decreased in response to non‐forested landscapes. We then present two case studies that serve as examples of stressor quantification and communication. In addition to outperforming static measures of land use/cover, the resulting WQI serves multiple functions by communicating stream health to policy makers and citizens in an easily understood form, providing a stressor gradient for biological assessments and measuring stream condition across Pennsylvania's diverse water resources.
Biogeographic origin prediction of three continental populations through 42 ancestry informative SNPs
Authors: Jin Xiao‐Ye , Cui Wei , Chen Chong , Guo Yu‐Xin , Tao Yong‐Wei , Lan Qiong , Kong Ting‐Ting , Zhu Bo‐Feng 
Published: November 2019

AbstractA biogeographic estimate of a certain population can not only discern population substructure in the whole genome association study, but also provide informative clues for forensic investigations when obtained DNA genotypes do not find a match in the available forensic DNA database. In this study, 100 ancestry informative single nucleotide polymorphisms (AISNPs) were first presented to differentiate three continental ancestries (African, East Asian and European). Ultimately, forty‐two AISNPs were chosen from the 100 AISNPs. Distinguishing power of the 100 and 42 AISNPs for differentiating continental populations was further evaluated with population cluster analyses. Results indicated both of AISNP sets could efficiently differentiate 11 training populations from the three continents. Further validation of 42 AISNPs in testing population set indicated these 42 AISNPs performed well for ancestry inferences of these testing individuals. Ancestry components of Uyghur group were assessed by comparing with different continental populations based on these 42 AISNPs. Results revealed that East Asian populations contributed more ancestry components to the studied Uyghur group than European populations. In conclusion, our study is expected to provide more AISNP markers and enrich extant reference database.
Anisotropic modeling of layered rocks incorporating planes of weakness and volumetric stress
Authors: Hu Shanchao , Tan Yunliang , Zhou Hui , Ru Wenkai , Ning Jianguo , Wang Jun , Huang Dongmei , Li Zhen 
Published: November 2019

AbstractLayered rocks exhibit notable transverse isotropy and have a significant impact on the deformation and failure characteristics of underground structures. To a large extent, the mechanical properties of layered rocks are related to the structure and stress state of their bedding planes. To obtain an in‐depth understanding of the deformation and yield characteristics of layered rocks, a mechanical model for layered rocks incorporating planes of weakness and volumetric stress is proposed by improving the strain‐hardening/softening ubiquitous‐joint model based on continuum mechanics methods. In this mechanical model, elastoplastic equations for the matrix and bedding planes of layered rocks are established. The evolution of the mechanical parameters of the matrix and bedding planes of layered rocks with the internal variable is determined. In addition, the sensitivity of the model parameters is analyzed, and a method for determining the parameters is provided to reduce the complexity in obtaining these parameters. The numerical calculation results for the laboratory tests on layered sandstone specimens under various stress levels agree relatively well with the test results, thereby validating the effectiveness of the improved model. The methods and results of this study provide a significant reference for the analysis of the deformation and failure of other layered rocks.