bluuebunny/crossref_metadata_2025_split huggingface dataset:
Getting cited early: influence of visibility strategies, structure, and focal system on early citation rates
Authors: Gelzer Emily R. , Laforge Michel P. , Becker Justine A. , Hough Nathan P. , Lambert Mallory Sandoval , Poulin Marie‐Pier , Thomas‐Kuzilik Rebecca , Verzuh Tana L. , Merkle Jerod A. 
Published: March 2022

AbstractElucidating factors that contribute to citation rates of scientific articles can help scientists write manuscripts that have a stronger influence on their scientific field and are accessible to a broad audience. Using a cohort of 778 articles published in The Journal of Wildlife Management from 2011–2015, we examined how visibility strategies, article structure, and focal system (all factors authors can predominantly control) influenced the accumulation of citations over various time frames within the first 5 years after publication, and the number of days until an article received its first citation. Visibility strategies (e.g., open access, increasing the Altmetric Attention Score, and self‐citations) all influenced the number of citations accrued following publication. Citations were more stochastic 1 year following publication compared to 5 years following publication, with only 20.1% of papers receiving a citation after 1 year compared to 92.5% of papers receiving a citation after 5 years. Our model explained much more of the variation after 5 years compared to after only 1 year (R2 = 0.57 and 0.12, respectively). The number of factors significantly associated with citation rates increased as the timeframe of our analysis increased. After 5 years, factors associated with article structure (e.g., number of references), focal system (e.g., methods papers), and visibility all increased citation counts of papers. Our work suggests citation rates within wildlife ecology are influenced by a number of controllable factors, and that authors pursuing a variety of visibility strategies can increase the influence of an article on science and management.
Utility‐scale solar impacts to volant wildlife
Authors: Smallwood K. Shawn 
Published: March 2022

AbstractTo reduce carbon emissions from fossil fuel combustion, United States government agencies, including those in California, initiated aggressive programs to hasten development of utility‐scale solar energy. Much of California's early development of solar energy occurred in deserts and annual grasslands, much of it on public land. Measurement of solar energy's impacts to wildlife has been limited to mortality caused by features of solar facilities, and has yet to include impacts from habitat loss and energy transmission. To estimate species‐specific bird and bat fatality rates and statewide mortality, I reviewed reports of fatality monitoring from 1982 to 2018 at 14 projects, which varied in duration, level of sampling, search interval, search method, and carcass detection trials. Because most monitors performed carcass detection trials using species of birds whose members were larger than birds and bats found as fatalities, I bridged the monitors' onsite trial results to offsite trial results based on the same methods but which also measured detection probabilities across the full range of body sizes of species represented by fatalities. This bridge preserved the project site's effects on detection probabilities while more fully adjusting for the effects of body size. My fatality estimates consistently exceeded those reported. Projected to California's installed capacity of 1,948.8 MW of solar thermal and 12,220 MW of photovoltaic (PV) panels in 2020 (14,168.8 MW total), reported estimates would support an annual statewide fatality estimate of 37,546 birds and 207 bats, whereas I estimated fatalities of 267,732 birds and 11,418 bats. Fatalities/MW/year averaged 11.61 birds and 0.06 bats at PV projects and 64.61 birds and 5.49 bats at solar thermal projects. Fatalities/km/year averaged 113.16 birds and zero bats at generation tie‐ins, and 14.44 birds and 2.56 bats along perimeter fences. Bird fatality rates averaged 3 times higher at PV projects searched by foot rather than car. They were usually biased low by insufficient monitoring duration and by the 22% of fatalities that monitors could not identify to species. I estimated that construction grading for solar projects removed habitat that otherwise would have supported nearly 300,000 birds/year. I recommend that utility‐scale solar energy development be slowed to improve project decision‐making, impacts assessment, fatality monitoring, mitigation efficacy, and oversight.
Mixed‐stock aging analysis reveals variable sea turtle maturity rates in a recovering population
Authors: Turner Tomaszewicz Calandra N. , Avens Larisa , LaCasella Erin L. , Eguchi Tomoharu , Dutton Peter H. , LeRoux Robin A. , Seminoff Jeffrey A. 
Published: March 2022

AbstractQuantifying demographic parameters and variable vital rates, such as somatic growth rates, time to maturity, and reproductive longevity, is important for effective management of threatened and endangered populations such as sea turtles (Cheloniidae). To address these knowledge gaps, we applied skeletochronology to analyze and compare somatic growth rates and variation in life‐history traits such as age and size at sexual maturity for 65 green turtles (Chelonia mydas) in the eastern Pacific Ocean (EP), along the west coast of the United States; turtles belonged to ≥2 nesting subpopulations that differed in body size (mean nesting size). Green turtles in the EP spend approximately 5 years in the oceanic stage before recruiting to nearshore habitats, males may be smaller and younger than females at maturation (x̅ = 17.7 ± 5.5 yr vs. 28.0 ± 8.2 yr), and younger age at sexual maturity was associated with smaller size at sexual maturity, suggesting that mean nesting body size may be reflective of maturation timing for subpopulations. Smaller body sizes for females nesting at Michoacán, Mexico (continental) rookeries, yielded a younger predicted age at sexual maturity (x̅ = ~17 yr) compared to females from Revillagigedo Islands, Mexico rookeries, which displayed larger body sizes and older age at sexual maturity (x̅ = ~30 yr). We consider possible mechanisms driving the observed divergence in life‐history traits, including the possibility that earlier maturation (reduced generation length) for turtles in the Michoacán nesting subpopulation may be a response to intense harvesting in the past 50 years, and consideration of such anthropogenic impacts is warranted by population managers. Finally, our results indicate green turtles moved into nearshore neritic habitats at a young age (4–6 yr), emphasize the importance of protecting neritic habitats along the southwestern United States and northwestern Mexican coasts, and encourage the incorporation of variable maturation time in population recovery assessments.
Nitrogen stable isotopes (δ15N) and tissue nitrogen in shallow‐water and mesophotic macroalgae differ between the Main Hawaiian Islands and the Northwestern Hawaiian Islands
Authors: Strait Nicholas , Williams Taylor M. , Sherwood Alison R. , Kosaki Randall K. , Giuseffi Louise , Smith Celia M. , Spalding Heather L. 
Published: March 2022

AbstractThe Hawaiian Archipelago stretches 2500 km from the Main to the Northwestern Hawaiian Islands, represents a complex gradient of oceanographic and anthropogenic drivers, and has a high abundance and diversity of native and invasive macroalgae. These photosynthetic organisms occur in intertidal to mesophotic (30–150+ m) depths and absorb nitrogen with limited fractionation associated with their physiology and source. Our goal was to examine nitrogen dynamics from shallow to mesophotic reefs using compositional patterns of two well‐characterized macroalgal tissue parameters: stable isotope ratio of nitrogen and tissue nitrogen content. We collected 813 macroalgal samples from 13 islands/atolls between 0 and 117 m depths. Within the Main Hawaiian Islands, macroalgal tissue stable N isotope ratios were higher in mesophotic depths; N content was higher in shallow depths. However, within the Northwestern Hawaiian Islands, no differences in stable N isotope ratios and N content were found between shallow and mesophotic depths. Regionally, stable N isotope ratios varied along a gradient of anthropogenic and oceanographic processes (in Main and Northwestern Hawaiian Islands, respectively), while N content reflected elevated nitrogen in the Main compared with the Northwestern Hawaiian Islands. Additionally, the invasive macroalga Avrainvillea lacerata had significantly higher N content than co‐occurring native bryopsidalean macroalgae at similar depths, and may be reshaping nutrient dynamics from shallow to mesophotic depths in the Main Hawaiian Islands. Nitrogen dynamics at mesophotic depths may be influenced by nearshore anthropogenically derived nitrogen via submarine groundwater discharge and/or inputs from deeper water within the Main Hawaiian Islands.
Fabrication and Decryption of a Microarray of Digital Dithiosuccinimide Oligomers
Authors: Shi Qiunan , Miao Tengfei , Liu Yuxin , Hu Lihua , Yang Hai , Shen Hang , Piao Minghao , Huang Zhihao , Zhang Zhengbiao 
Published: March 2022

AbstractDigital polymers with precisely arranged binary units provide an important option for information storage. This is especially true if the digital polymers are assembled in a device, as it would be of great benefit for data writing and reading in practice. Herein, inspired by the DNA microarray technique, the programmable information storing and reading on a mass spectrometry target plate is proposed. First, an array of 4‐bit sequence‐coded dithiosuccinimide oligomers is efficiently built through sequential thiol‐maleimide Michael couplings with good sequence readability by tandem mass spectrometry (MS/MS). Then, toward engineering microarrays for information storage, a programmed robotic arm is specifically designed for precisely loading sequence‐coded oligomers onto the target plate, and a decoding software is developed for efficient readout of the data from MS/MS sequencing. Notably, short sequence‐coded oligomer chains can be used to write long strings of information, and extra error‐correction codes are not required as usual due to the inherent concomitant fragmentation signals. Not only text but also bitimages can be automatically stored and decoded with excellent accuracy. This work provides a promising platform of digital polymers for programmable information storing and reading.
Synthetic Strategies for Polymer Particles with Surface Concavities
Authors: Zou Hua , Lv Yongliang 
Published: March 2022

AbstractOver the past decade or so, there has been increasing interest in the synthesis of polymer particles with surface concavities, which mainly include golf ball‐like, dimpled and surface‐wrinkled polymer particles. Such syntheses generally can be classified into direct polymerization and post‐treatment on preformed polymer particles. This review aims to provide an overview of the synthetic strategies of such particles. Some selected examples are given to present the formation mechanisms of the surface concavities. The applications and future development of these concave polymer particles are also briefly discussed.
Transformation of Amorphous Nanobowls to Crystalline Ellipsoids Induced by Trans‐Cis Isomerization of Azobenzene
Authors: Sun Hui , Zhou Xiaoyan , Leng Ying , Li Xiao , Du Jianzhong 
Published: March 2022

AbstractThe stimuli‐responsive transition of nanostructures from amorphous to crystalline state is of high interest in polymer science, but is still challenging. Herein, the transformation of amorphous nanobowls to crystalline ellipsoids triggered by UV induced trans‐cis isomerization is demonstrated, using an azobenzene‐containing amphiphilic homopolymer (PAzoAA) as a building block. The amide bond and azobenzene pendants are introduced to the side chain of PAzoAA to afford hydrogen bonding and π–π interactions, which promote the formation of nanobowls rather than spherical nanostructures. Upon exposure to UV irradiation, trans‐cis isomerization of azobenzene pendants occurs, leading to the increase of hydrophilicity and destruction of π–π interaction, further resulting in the disassembly of the nanobowls. Then the PAzoAA re‐assembles to form crystalline ellipsoids instead of amorphous nanostructures when recovered at 70 °C without UV light. Further, it is confirmed that the high incubation temperature after UV irradiation is critical for the cis‐trans transformation and the high mobility of the polymer chains to facilitate the regular rearrangement of azobenzene pendants. Overall, a facile method to achieve the transformation of amorphous nanobowls to crystalline ellipsoids is proposed, which may bring new insight into preparation of crystalline nanoparticles using amorphous precursors.
MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters
Authors: Nguyen Trinh‐Trung‐Duong , Ho Quang‐Thai , Tarn Yu‐Chun , Ou Yu‐Yen 
Published: March 2022

AbstractIn cellular transportation mechanisms, the movement of ions across the cell membrane and its proper control are important for cells, especially for life processes. Ion transporters/pumps and ion channel proteins work as border guards controlling the incessant traffic of ions across cell membranes. We revisited the study of classification of transporters and ion channels from membrane proteins with a more efficient deep learning approach. Specifically, we applied multi‐window scanning filters of convolutional neural networks on almost full‐length position‐specific scoring matrices for extracting useful information. In this way, we were able to retain important evolutionary information of the proteins. Our experiment results show that a convolutional neural network with a minimum number of convolutional layers can be enough to extract the conserved information of proteins which leads to higher performance. Our best prediction models were obtained after examining different data imbalanced handling techniques, and different protein encoding methods. We also showed that our models were superior to traditional deep learning approaches on the same datasets as well as other machine learning classification algorithms.
The expanding Asgard archaea and their elusive relationships with Eukarya
Authors: Da Cunha Violette , Gaïa Morgan , Forterre Patrick 
Published: March 2022

AbstractThe discovery of Asgard archaea and the exploration of their diversity over the last 6 years have deeply impacted the scientific community working on eukaryogenesis, rejuvenating an intense debate on the topology of the universal tree of life (uTol). Here, we discuss how this debate is impacted by two recent publications that expand the number of Asgard lineages and eukaryotic signature proteins (ESPs). We discuss some of the main difficulties that can impair the phylogenetic reconstructions of the uTol and suggest that the debate about its topology is not settled. We notably hypothesize the existence of horizontal gene transfers between ancestral Asgards and proto‐eukaryotes that could result in the observed abnormal behaviors of some Asgard ESPs and universal marker proteins. This hypothesis is relevant regardless of the scenario considered regarding eukaryogenesis. It implies that the Asgards were already diversified before the last eukaryotic common ancestor and shared the same biotopes with proto‐eukaryotes. We suggest that some Asgards might be still living in symbiosis today with modern Eukarya.
“Life is short, and art is long”: RNA degradation in cyanobacteria and model bacteria
Authors: Zhang Ju‐Yuan , Hess Wolfgang R. , Zhang Cheng‐Cai 
Published: March 2022

AbstractRNA turnover plays critical roles in the regulation of gene expression and allows cells to respond rapidly to environmental changes. In bacteria, the mechanisms of RNA turnover have been extensively studied in the models Escherichia coli and Bacillus subtilis, but not much is known in other bacteria. Cyanobacteria are a diverse group of photosynthetic organisms that have great potential for the sustainable production of valuable products using CO2 and solar energy. A better understanding of the regulation of RNA decay is important for both basic and applied studies of cyanobacteria. Genomic analysis shows that cyanobacteria have more than 10 ribonucleases and related proteins in common with E. coli and B. subtilis, and only a limited number of them have been experimentally investigated. In this review, we summarize the current knowledge about these RNA‐turnover‐related proteins in cyanobacteria. Although many of them are biochemically similar to their counterparts in E. coli and B. subtilis, they appear to have distinct cellular functions, suggesting a different mechanism of RNA turnover regulation in cyanobacteria. The identification of new players involved in the regulation of RNA turnover and the elucidation of their biological functions are among the future challenges in this field.
MomL inhibits bacterial antibiotic resistance through the starvation stringent response pathway
Authors: Dou Qin , Yuan Jin , Yu Rilei , Yang Jiahui , Wang Jiayi , Zhu Yuxiang , Zhong Jing , Long Hongan , Liu Zhiqing , Wang Xianghong , Li Yuying , Xiao Yichen , Liang Jiazhen , Zhang Xiao‐Hua , Wang Yan 
Published: March 2022

AbstractAntibiotic resistance in gram‐negative pathogens has become one of the most serious global public health threats. The role of the N‐acyl homoserine lactone (AHL)‐mediated signaling pathway, which is widespread in gram‐negative bacteria, in the bacterial resistance process should be studied in depth. Here, we report a degrading enzyme of AHLs, MomL, that inhibits the antibiotic resistance of Pseudomonas aeruginosa through a novel mechanism. The MomL‐mediated reactivation of kanamycin is highly associated with the relA‐mediated starvation stringent response. The degradation of AHLs by MomL results in the inability of LasR to activate relA, which, in turn, stops the activation of downstream rpoS. Further results show that rpoS directly regulates the type VI secretion system H2‐T6SS. Under MomL treatment, inactivated RpoS fails to regulate H2‐T6SS; therefore, the expression of effector phospholipase A is reduced, and the adaptability of bacteria to antibiotics is weakened. MomL in combination with kanamycin is effective against a wide range of gram‐negative pathogenic bacteria. Therefore, this study reports a MomL‐antibiotic treatment strategy on antibiotic‐resistant bacteria and reveals its mechanism of action.
Dual‐wideband dual‐polarized rhombic antenna array for base‐station applications
Authors: Ye Liang Hua , Li Yuan Jun , Li Jian‐Feng , Hu Zhenxin , Zhang Gary , Zhang Xiu Yin 
Published: March 2022

AbstractA compact dual‐wideband dual‐polarized antenna array with a narrow beam and low side‐lobe level for indoor base‐station applications is presented. Four higher‐band dipole elements are inserted inside four lower‐band rhombic‐arranged dipole elements. Dipole elements for each band are excited by two 1‐to‐4 power dividers with equal magnitude and phase. By using this scheme, stable narrow radiation patterns with low side‐lobe levels both in the horizontal and vertical planes are obtained over the dual‐frequency bands. For verification, a dual‐wideband rhombic antenna array with bandwidths of 49.3% (0.64–1.06 GHz) and 52.3% (1.61–2.75 GHz) for VSWR < 1.5 is designed. It has a stable radiation pattern with 3‐dB beamwidths of around 33° and low side‐lobe levels of less than −22 dB both in the horizontal and vertical planes.
Development of a Monte Carlo Random Walk Model for the Prediction of Linear and Branched Polymer Configuration and Connection to Radius of Gyration and GPC‐MALS Experimental Results
Authors: Touloupidis Vasileios , Albrecht Andreas 
Published: March 2022

AbstractIn this work, a self‐avoiding Monte‐Carlo off‐lattice 3D random walk model that is able to predict the configuration of linear and branched carbon‐based macromolecules, taking into account: i) the bond length, ii) the carbon‐carbon angle, and, iii) steric interferences, is presented. The methodology follows the theoretical framework proposed by the pioneering work of P. J. Flory. The Monte‐Carlo model developed is being validated based on experimental results of radius of gyration coming from linear polyethylene characterization by size exclusion chromatography multiangle light scattering (SEC‐MALS) technique. The most detailed version of the model manages to reach an accuracy level of 80% with regard to radius of gyration, without any tuning procedure involved. Furthermore, considering the solvent effect, the accuracy level reaches a value of 95%. On the contrary, it is shown that the simplest Monte Carlo random walk model version (including only the bond length restriction) is not able to quantitatively predict the experimentally acquired values of radius of gyration. Moreover, the developed Monte Carlo model is further employed to predict the expected radius of gyration values of more complex branched topologies, demonstrating the potential of this work.
Preparation of Cerium‐Bismuth Oxide Catalysts for Diesel Soot Oxidation Including Evaluation of an Automated Soot‐Catalyst Contact Mode
Authors: Hebert Sabrina Christina , Stöwe Klaus 
Published: March 2022

AbstractCerium‐bismuth oxides have emerged as promising candidates for Diesel soot oxidation. The catalysts are synthesized via automated co‐precipitation methods. T50 values, where 50 % of soot is oxidized, and the dynamic oxygen storage capacity (OSCdyn) are used to compare the catalytic activity. The activity is measured by thermogravimetric methods. The synthesized catalysts are characterized through powder X‐ray diffraction (PXRD), Raman spectroscopy, and specific surface area (SBET) measurements. This work investigates the influence of the contact mode between soot and catalyst. The literature‐known manual contact modes “loose”, “tight”, and “wet” are compared with our developed automated contact mode, using a dual asymmetric centrifuge. The rotation speed rs and mixing time tM have been varied independently. Both factors influence the T50 value. A continuous transition from loose to tight contact mode with increasing rotation speed rs can be shown. Furthermore, the automated contact mode shows better reproducibility behavior compared to manual contact modes.
Nanoscale Biocompatible Structures Generated from Fluorinated Tripodal Phenylenes on Gold Nanoprisms
Authors: García‐Castro Miguel , Moscoso Ana , Sarabia Francisco , López‐Romero Juan Manuel , Contreras‐Cáceres Rafael , Díaz Amelia 
Published: March 2022

AbstractModification of gold substrates with a stable, uniform and ultrathin layer of biocompatible materials is of tremendous interest for the development of bio‐devices. We present the fabrication of hybrid systems consisting of triangular prism gold nanoparticles (Au@NTPs) covalently covered with tripod‐shaped oligo(p‐phenylenes) featuring trifluoromethyl groups. Their synthesis is accomplished using a biphenyl boronic ester as the key compound. Au@NTPs were prepared through a seedless procedure using 3‐butenoic acid and benzyldimethyl ammonium chloride, and modified with aminothiol groups. Coverage of this amine‐modified gold substrate with a self‐assembled monolayer (SAM) of tripod‐shaped molecules is carried out in ethanolic solution. The hybrid system avoids up to 70 % of protein corona formation, and allows unspecific attachment for bulky adsorbates, providing an optimal biosensing platform. Chemical composition and morphology are analyzed by transmission electron microscopy (TEM), UV‐visible spectroscopy and field emission scanning electron microscopy (FESEM).