bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nanocomposite polymer electrolytes for solid‐state lithium‐ion batteries with enhanced electrochemical properties
Authors: Liu Rong , Zhang Genyan , Li Ying , Zhang Jinfang 
Published: November 2022

AbstractSolid‐state polymer electrolytes (SPEs) have attracted significant attention owing to their improvement in high energy density and high safety performance. However, the low lithium‐ion conductivity of SPEs at room temperature restricts their further application in lithium‐ion batteries (LIBs). Herein, we propose a novel poly (ethylene oxide) (PEO)‐based nanocomposite polymer electrolytes by blending boron‐containing nanoparticles (BNs) in the PEO matrix (abbreviated as: PEO/BNs NPEs). The boron atom of BNs is sp2‐hybridized and contains an empty p‐orbital that can interact with the anion of lithium salt, promoting the dissociation of the lithium salts. In addition, the introduction of the BNs could reduce the crystallinity of PEO. And thus, the ionic conductivity of PEO/BNs NPEs could reach as high as 1.19 × 10−3 S cm−1 at 60°C. Compared to the pure PEO solid polymer electrolyte (PEO SPEs), the PEO/BNs NPEs showed a wider electrochemical window (5.5 V) and larger lithium‐ion migration number (0.43). In addition, the cells assembled with PEO/BNs NPEs exhibited good cycle performance with an initial discharge capacity of 142.5 mA h g−1 and capacity retention of 87.7% after 200 cycles at 2 C (60°C).
Preparation and anti‐migration performance of ethylene propylene diene terpolymer composites modified with GO‐SiO2 hybrid nanomaterials
Authors: Lu Zhehong , Hu Yubing , Zhang Tengyue , Li Hao , Bai Haoran , Zhang Guangpu , Guo Fan , Jiang Wei 
Published: November 2022

AbstractThe anti‐migration ethylene propylene diene terpolymer (EPDM) inhibitor coating was prepared by using EPDM as a composite matrix and silicon‐functionalized graphene oxide (GO‐SiO2) as modifiers to prevent the migration of energetic plasticizers in propellants. The anti‐migration performance at different temperatures was analyzed by investigating the diffusion of dioctyl sebacate (DOS) using thermal analysis and immersion tests. After adding 1.0 wt% GO‐SiO2, the overall performance of the inhibitor coating was the best, and the concentration of DOS that migrated into the inhibitor coating at 30°C was reduced from 45.1% to 38.8% (13.9% decrease). The results confirmed that the introduction of GO‐SiO2 prevented the migration of dioctyl sebacate to the EPDM inhibitor coating. The scanning electron microscopy results showed that GO‐SiO2 was well‐dispersed in the inhibitor coating, and the tensile strength increased from 1.80 to 2.11 MPa. Migration kinetics analysis showed that the anti‐migration performance was closely related to the crosslink density.
Assessing national HAA9 occurrence and impacts of a potential HAA9 regulation
Authors: Samson Carleigh C. , Seidel Chad J. 
Published: November 2022

AbstractThe US Environmental Protection Agency is tasked with proposing revisions to Microbial and Disinfectant and Disinfection Byproducts rules (DBPR) by 2025. Disinfection byproducts are currently regulated by the Stage 2 DBPR, inclusive of total trihalomethane and five haloacetic acids (HAA5). EPA's Fourth Unregulated Contaminant Monitoring Rule (UCMR4) included monitoring for HAA5, six brominated haloacetic acids (HAA6Br), and nine haloacetic acids (HAA9). UCMR4 and state‐managed compliance data were utilized to assess the potential impacts of regulating HAA9. HAA9 modeling techniques were validated and applied for greater representation of smaller systems. Outcomes suggest a HAA9 maximum contaminant level (MCL) equivalent to the HAA5 MCL by number of public water systems (PWSs) implicated would be between 72–77 μg/L. An additional 395 PWSs (2%) not currently implicated by Stage 2 DBPR would have compliance challenges if HAA9 is regulated with an MCL equal to the 60 μg/L HAA5 MCL.
Mental health symptoms and sleep quality of asymptomatic/mild SARS‐CoV‐2 infected individuals during the Omicron wave of the COVID‐19 pandemic in Shanghai China
Authors: Hou Zhenghua , Huang Yingzi , Ma Shaolei , Feng Hui , Fu Cuiping , Li Han , Yuan Yuexing , Yuan Yonggui 
Published: November 2022

AbstractObjectiveTo investigate mental health symptoms (anxiety, depression, and sleep status) and their associated factors among people infected with the SARS‐CoV‐2 omicron variant during the quarantine period in Shanghai.MethodsTo investigate the mental health symptoms among participants with SARS‐CoV‐2 omicron infection, an anonymous online survey questionnaire was used. The survey panel included the 9‐item Patient Health Questionnaire‐9 (PHQ‐9), 7‐item Generalized Anxiety Disorder Scale (GAD‐7), Pittsburgh Sleep Quality Index (PSQI), and 22‐item Ruminative Responses Scale (RRS). Group comparisons and correlation analyses were employed to explore the epidemiological characteristics of patients and factors related to depression and anxiety symptoms.ResultsA total of 960 participants completed the survey. Of the total respondents, 583 participants (60.7%) were male, and the mean (SD) age was 34.33 (9.21) years (95% CI: 33.74–34.91). The prevalence of depressive and anxiety symptoms among the participants was 13.7% (n = 151, 95% CI: 11.6%–15.7%) and 8.6% (n = 90, 95% CI: 6.9%–10.3%), respectively. Age‐stratified analysis showed that the prevalence of anxiety among the 36‐ to 45‐year‐old group (12.9%; n = 35, 8.9%–16.9%) was significantly higher than that of the 18‐ to 15‐year‐old group (7.4%; n = 42, 5.3%–9.6%, p = .011). Spearman's correlation analyses showed that rumination (assessed by the RRS) was significantly and positively correlated with depression (rho = .706, p < .001) and anxiety symptoms (rho = .758, p < .001).ConclusionThe results suggest that female and middle‐aged populations manifest higher susceptibility to mental health distress during the current Omicron wave of the COVID‐19 pandemic. Population‐specific psychological crisis intervention is warranted to improve the quality of epidemic prevention methods and to promote the mental well‐being of the public.
A Fragrance Prediction Model for Molecules Using Rough Set‐based Machine Learning
Authors: Tiew Shie Teck , Chew Yick Eu , Lee Ho Yan , Chong Jia Wen , Tan Raymond R. , Aviso Kathleen B. , Chemmangattuvalappil Nishanth G. 
Published: November 2022

AbstractIn this work, a novel machine learning based methodology was developed to predict fragrance from the molecular structure and the effect of the subjects attributes on odour perception. As fragrance is linked to the molecular structure and interactions, topological indices are used to develop a predictive model. Rough set‐based machine learning is used to generate rule‐based models that link the topology of fragrant molecules and dilution to their respective odour characteristics. The results show that the generated models are effective in determining the odour characteristic of molecules.
Semi‐uniform deployment of mobile robots in perfect ℓ$$ \ell $$‐ary trees
Authors: Shibata Masahiro , Tixeuil Sébastien 
Published: November 2022

SummaryIn this paper, we consider the problem of semi‐uniform deployment for mobile robots in perfect ‐ary trees. This problem requires robots to spread in the tree so that, for some positive integer and some fixed integer , each node of depth is occupied by a robot. Robots have an infinite visibility range but are opaque, and each robot can emit a light color visible to itself and other robots, taken from a set of colors, at each time step. Then, we clarify the solvability of the semi‐uniform deployment problem, focusing on the number of available light colors. First, we consider robots with . In this setting, we show that there is no collision‐free algorithm to solve the problem. Next, relax the number of available light colors, that is, we consider robots with . In this setting, we propose a collision‐free algorithm that can solve the problem. From these results, we can show that the semi‐uniform deployment problem can be solved when , and our proposed algorithm is optimal with respect to the number of used light colors (i.e., 2).
Does board diversity encourage an environmental policy focused on resource use, emission reduction and innovation? The case of companies in Latin America
Authors: de Abreu Mônica Cavalcanti Sá , Soares Romulo Alves , Daniel‐Vasconcelos Victor , Crisóstomo Vicente Lima 
Published: November 2022

AbstractThis study aims to identify the effect of board diversity on environmental policy in Latin American companies. This research focuses on 11 industrial sectors in Brazil, Mexico, and Chile that took into consideration a broader extension of environmental policy, involving practices regarding resource use, emissions reduction, and innovation. Drawing on corporate governance (CG) and corporate social responsibility (CSR) relationships, a regression analysis was conducted with 1214 firm‐year observations from 181 companies. Our results indicate that the predominantly weak CG in Latin America might favour the use of manipulative environmental policy decisions. Board diversity does not have a relevant influence on CSR activities, as environmental issues are only taken into account so far as the cost of natural resources, while issues such as environmental innovation and reducing emission are not part of the agenda. In Brazil and Chile, independent directors have no significant effect on environmental policy decisions, while in Mexico, a less independent board grants managers greater discretion to establish an environmental policy, whereas in all three countries, board gender diversity has no significant effect. The theoretical insights drawn from this study reinforce that board composition, as an internal CG mechanism, is insufficient to overcome the institutional voids and give protagonist to sustainability issues in Latin America, reiterating the need for more robust CG mechanisms to coerce CSR.
Computational screening of Cs based vacancy‐ordered double perovskites for solar cell and photocatalysis applications
Authors: Ye Xinyu , Liu Anmin , Gao Liguo , Zhang Chu , Yan Lijing , Wen Shizheng , Ma Tingli 
Published: November 2022

AbstractThe toxicity of lead ions in halide perovskite absorbing materials is the main bottleneck for practical application. To replace the traditional lead halide perovskites by environmental friendly double perovskite, computational tools based on density functional theory were employed to predict the intrinsic properties of potential double perovskites to efficiently and rapidly find more double perovskites with properties suitable for optoelectronic applications. Screening homovalent alternatives for B and X‐site ions in vacancy‐ordered double perovskite Cs2BX6 for solar cell applications and photocatalyst was done using Perdew–Burke–Ernzerhof and Heyd–Scuseria–Ernzerhof functional with spin‐orbit coupling. Three empirical factors and formation enthalpy were used to evaluate the stability of 30 materials at different temperatures. Finally, the Cs‐based vacancy‐ordered double perovskites with suitable bandgap for optoelectronic applications can thus be obtained. Using computational techniques, this study can also provide theoretical guidance for the rational design of possible double perovskite materials with improved photocatalytic characteristics.image
“Fortress Europe is an insult to the values of the EU”: The legitimation of migrant acceptance in the human security speech acts of Members of the European Parliament
Authors: Krotký Jan 
Published: November 2022

AbstractScholars agree that securitized discourses mainly drive migration policy. However, to fully understand the migration discourse, it is necessary to look also at the discourse legitimating the acceptance of migrants, refugees, and asylum seekers. Namely, how Members of the European Parliament (MEPs) legitimate the potential acceptance of migrants in EU plenary debates within the human security speech acts that prevail in the European Parliament plenary debates. By exploring legitimation categories, I show that human security discourse might remain part of the exclusion process, similarly to other security concepts and discursive strategies. In other words, the results show that in human security speech acts, MEPs evoke the “language of exclusion practices” containing the victimhood trope and building the “hierarchy of vulnerability.” Moreover, MEPs' efforts to legitimize immigration in this way might be counterproductive. In particular, the article discusses whether attempts to elicit grand emotions such as pity or shame helps to attract the audience.
Chemoproteomic Profiling of O‐GlcNAcylation in Arabidopsis Thaliana by Using Metabolic Glycan Labeling
Authors: Wu Jie , Lei Cong , Li Xilong , Dong Xueyang , Qin Ke , Hong Weiyao , Li Jing , Zhu Yuntao , Chen Xing 
Published: November 2022

AbstractProtein O‐GlcNAcylation is a ubiquitous posttranslational modification occurring both in animals and plants. While thousands of O‐GlcNAcylated proteins have been identified in animals, the plant O‐GlcNAcylated proteome remains poorly studied. Herein we report the development of a chemoproteomic strategy for profiling of O‐GlcNAcylated proteins in Arabidopsis based on the metabolic glycan labeling (MGL) method. We first demonstrated that both N‐azidoacetylglucosamine (GlcNAz) and N‐azidoacetylgalactosamine (GalNAz) can metabolically label O‐GlcNAc with azides in Arabidopsis seedlings. Arabidopsis UDP‐galactose 4‐epimerases were found to interconvert UDP‐GalNAz and UDP‐GlcNAz, supporting the existence of a GalNAc metabolism pathway. By tagging the azide‐incorporated O‐GlcNAc with alkyne‐biotin via click chemistry, the O‐GlcNAcylated proteins were enriched and analyzed by mass spectrometry. We identified 645 candidate O‐GlcNAcylated proteins in Arabidopsis seedlings, of which 592 were newly identified. The identified O‐GlcNAcylated proteins were enriched in various plant‐specific processes such as hormone responses. By co‐expression of a selected list of the identified proteins with SECRET AGENT, the Arabidopsis O‐GlcNAc transferase, we validated that the MGL‐identified proteins were O‐GlcNAc‐modified. Our work establishes a powerful tool for profiling plant O‐GlcNAylation and provides an invaluable resource for investigating the functional role of O‐GlcNAc in Arabidopsis.
Continuous Variable Quantum Teleportation Network
Authors: Shi Shaoping , Wang Yajun , Tian Long , Li Wei , Wu Yimiao , Wang Qingwei , Zheng Yaohui , Peng Kunchi 
Published: November 2022

AbstractQuantum network scales the advantages of quantum communication protocols to more than two detached users, which offers great potential to realize the quantum internet. Here, a fully connected continuous‐variable (CV) quantum teleportation network architecture is presented, in which a squeezed state of light distributes each pair of entangled sideband modes to each communication link that bridges any pair of users. The quantum teleportation scheme is similar to standard two‐party ones for each communication link, without sacrificing communication capability and reliability. The demonstration based on CV‐entangled sideband modes opens an innovative possibility to implement many tasks of deterministic quantum information processing.
Structure and Phase Behavior of Interpolyelectrolyte Complexes of PDADMAC and Hydrophobically Modified PAA (HM‐PAA)
Authors: Kuzminskaya Olga , Riemer Sven , Dalgliesh Robert , Almásy László , Hoffmann Ingo , Gradzielski Michael 
Published: November 2022

AbstractBy combining oppositely charged polydiallyldimethylammonium chloride (PDADMAC) and sodium polyacrylate (NaPA), interpolyelectrolyte complexes (IPECs) can be formed in aqueous solution. Such IPECs are studied for rather short NaPA and under variation of the Mw of PDADMAC. The focus is on elucidating the effect of having a hydrophobic modification of the NaPA, which is introduced by having 10 mol% of the monomeric units substituted by ones carrying a dodecyl alkyl chain. This modification renders the complexes more hydrophobic, which is seen in the fact that precipitation of the complexes occurs at a lower mixing ratio and the biphasic region is also wider. The structures of the soluble IPECs are studied by a combination of light and neutron scattering (SANS). It is observed that the complexes formed possess typical radii of gyration of ≈30–40 nm, which become somewhat smaller with increasing length of the PDADMAC chain. The SANS data can be described well with the Beaucage model for complexes, where locally small hydrophobic domains of cylindrical shape are formed, whose persistence length decreases with increasing content of NaPA in the complexes. In contrast no such structures are seen for NaPA without the hydrophobic modification. The cylindrical domains are then arranged within larger‐sized clusters of 30–40 nm, which become more compact with reduced length of the PDAMAC chains. The structure of the IPECs is largely determined by the presence of the hydrophobic modification of the NaPA and is further controlled by the length of the hydrophobic modification. Such IPECs of controlled structure, relatively small size, and containing hydrophobic domains are potentially interesting as delivery systems due to having domains of variable polarity.
Experimental optimization of single‐exposure dual‐energy angiography with photon‐counting x‐ray detectors
Authors: Aubert Sarah , Tanguay Jesse 
Published: November 2022

AbstractBackgroundPhoton‐counting x‐ray detectors may enable single‐exposure dual‐energy (DE) x‐ray angiography.PurposeThe purpose of this paper is to experimentally optimize the energy thresholds and tube voltage for single‐exposure DE x‐ray angiography.MethodsWe optimized single‐exposure DE x‐ray angiography using the iodine signal‐difference‐to‐noise ratio (SDNR) per root patient air kerma (κ) as a figure of merit. We measured the iodine SDNR by imaging an iodine stepwedge immersed in a water tank with a depth of 30 cm in the direction of x‐ray propagation. The stepwedge was imaged using tube voltages ranging from 90 to 150 kV and a cadmium telluride (CdTe) x‐ray detector with two energy bins and analog charge summing for charge sharing suppression. The energy threshold that separates the two energy bins was varied from approximately 35 keV to approximately 75% of the maximum energy of the x‐ray beam. Curve fitting was used to determine the threshold that maximized . The effect of scatter was determined from measurements of the scatter‐to‐primary ratios (SPRs) of the low‐energy and high‐energy images and a semi‐empirical model of the relationship between SDNR and SPR. Using the optimal parameters, we imaged a phantom with vessel‐simulating structures and background clutter.ResultsThe optimal energy thresholds increased monotonically from ∼50 to ∼85 keV over the range of tube voltages considered. For tube voltages greater than 90 kV, the optimal energy thresholds consistently allocated approximately two thirds of all detected primary photons to the low energy bin; this ratio was preserved without scatter. Consistent with prior modeling studies, increased monotonically with tube voltage from 90 to 150 kV; at 150 kV was approximately 38% higher than that at 90 kV for an iodine area density of ∼50 mg/cm2. Scatter reduced SDNR by approximately 25% for SPRs of ∼1 and 0.4 in low‐energy and high‐energy images, respectively.ConclusionsAchieving optimal image quality in single‐exposure DE angiography with photon‐counting x‐ray detectors will require high tube voltages (i.e., >130 kV) and, for thick patients, energy thresholds that allocate approximately two thirds of all primary photons to the low‐energy image. Future work will compare the image quality of singe‐exposure photon‐counting and kV‐switching approaches to DE x‐ray angiography.
Identification of the heterogeneous conductivity in an inverse heat conduction problem
Authors: Ciarbonetti Angel A. , Idelsohn Sergio , Spies Ruben D. 
Published: November 2022

AbstractThis work deals with the problem of determining a nonhomogeneous heat conductivity profile in a steady‐state heat conduction boundary‐value problem with mixed Dirichlet–Neumann boundary conditions over a bounded domain in , from the knowledge of the state over the whole domain. We develop a method based on a variational approach leading to an optimality equation which is then projected into a finite dimensional space. Discretization yields a linear although severely ill‐posed equation which is then regularized via appropriate ad‐hoc penalizers resulting a in a generalized Tikhonov–Phillips functional. No smoothness assumptions are imposed on the conductivity. Numerical examples for the case in which the conductivity can take only two prescribed values (a two‐materials case) show that the approach is able to produce very good reconstructions of the exact solution.
Impacts of news media coverage on Canadian medical crowdfunding campaigns
Authors: Snyder Jeremy , Crooks Valorie A. , Cole Tyler 
Published: November 2022

AbstractWhile donation‐based crowdfunding for health‐related purposes raises hundreds of millions of dollars yearly, most campaigns fail to meet their fundraising goals. Crowdfunding campaigners are advised to seek traditional news media coverage of their campaigns to increase donor interest and fundraising success. In this study, we seek to better understand what happens to donor behavior via donation‐based crowdfunding campaigns after they receive news media coverage. While research has focused on the impact of social media sharing on donation‐based crowdfunding, academic analyses of the impact of news media coverage is largely speculative. We searched the Newsstream and Factiva databases for Canadian news coverage of domestic donation‐based health‐related crowdfunding campaigns. This news coverage was paired with the crowdfunding campaign reported on in the story. Campaign text and daily fundraising totals and donor amounts were recorded for the 7 days before and after publication of the news article. The authors identified emergent patterns in this data around the amplification of personal information from the crowdfunding campaign to a wider audience and inclusion of new personal details. This process identified 17 relevant pairs of news stories and crowdfunding campaigns over a review period of just under 5 months in 2021–22. These campaigns raised a total of CAD$443,134 (median CAD$20,030) out of a total goal of CAD$772,500 (median CAD$40,000) or 57.4% of the requested funds. Median campaign donations and donor numbers increased for the 3 days following publication of the news article. Our exploratory analysis shows a relationship between crowdfunding campaigns that receive news media coverage and the numbers of donations and total amount donated shortly after this coverage. Campaigners may feel pressure to participate in news media coverage in order to reach their fundraising goals. Media coverage has implications for campaign recipient privacy and the equitable distribution of health‐related funding. This exploratory analysis establishes the need for additional research on this topic.