bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interlayer Engineering Construction of 2D Nb2CTx with Enlarged Interlayer Spacing Towards High Capacity and Rate Capability for Lithium‐Ion Storage
Authors: Liu Mao‐Cheng , Zhang Bin‐Mei , Zhang Yu‐Shan , Zhang Dong‐Ting , Tian Chen‐Yang , Kong Ling‐Bin , Hu Yu‐Xia 
Published: May 2021

AbstractThe Li+ storage rate capability and diffusion dynamics in two‐dimensional (2D) materials are mainly determined by the interlayer spacing of materials. Investigating the effects of interlayer spacing on Li+ diffusion rate in 2D materials can provide a theoretical guidance for developing the high rate 2D materials for Li+ storage. Herein, a novel approach that P‐phenylenediamine (PPDA) electrostatically intercalated into Nb2CTx layers is employed to facilitate fast Li+ diffusion dynamics and improve diffusion rate for Li+ storage. The PPDA molecules existed between Nb2CTx layers have “support and dragline” effects on layers structure during Li+ insertion/exaction. The PPDA‐Nb2CTx not only enlarges interlayer spacing (d=1.27 nm) to accelerate the Li+ diffusion rate, but also enhances the layered structure stability due to the “support and dragline” effects of PPDA molecules. The PPDA‐Nb2CTx exhibits the excellent capacity of 400 mAh g−1 at a current density of 0.1 A g−1 and displays a superior capacity retention as 70.2 % at 5.0 A g−1 compared with that of 0.5 A g−1. The PPDA‐Nb2CTx//AC lithium ions hybrid capacitor (LIHC) delivers an excellent power density of 2754.8 W kg−1 at an energy density of 58.3 Wh kg−1 and a capacity retention with 80.0 % at 1.0 A g−1 after 1000 cycles. The interlayer engineering based on electrostatic intercalation provides a novel perspective to expand interlayer spacing, possessing a theoretical guidance for developing the Li+ storage materials with high‐rate capability.
Seeing sadness: Comorbid effects of loneliness and depression on emotional face processing
Authors: Cheeta Survjit , Beevers Joseph , Chambers Sophie , Szameitat Andre , Chandler Chris 
Published: May 2021

AbstractBackground/ObjectiveLoneliness and depression are highly comorbid, and both are associated with social processing deficits. However, there is a paucity of research aimed at differentiating emotional face‐processing deficits that are comorbid to loneliness and depression versus those attributable to loneliness or depression only.Methods502 participants were recruited and screened for loneliness (UCLA Loneliness Scale) and depression (Beck Depression Inventory). Of those, seventy‐seven took part in a fully crossed 2 (loneliness; low/high) * 2 (depression; low/high) factorial between‐subjects design study to assess individual and comorbid effects of loneliness and depression on a computerized morphed facial emotion processing task.ResultsComorbidity was confirmed by a significant positive correlation between loneliness and depression. On the emotion processing task, loneliness was associated with an increased accuracy for sad faces and decreased accuracy for fearful faces and depression with decreased accuracy in identifying happy faces. Comorbid loneliness and depression resulted in an increased misattribution of neutral faces as sad, an effect that was also seen in those who were either only lonely or only depressed.ConclusionThis if the first study to tease out comorbid versus independent effects of loneliness and depression on social information processing. To the extent that emotional biases may act as risk factors for detrimental outcomes, our findings highlight the importance of treating both loneliness and depression.
Long‐term mortality associated with depression among South Korean survivors of extracorporeal membrane oxygenation
Authors: Park Hye Youn , Cho Hyoung‐Won , Song In‐Ae , Lee Sukyoon , Oh Tak Kyu 
Published: May 2021

AbstractIntroductionDepression is an important sequela in critically ill patients. However, its prevalence after extracorporeal membrane oxygenation (ECMO) therapy and its association with long‐term mortality remain controversial.MethodsData were extracted from the South Korean National Health Insurance Service database in this population‐based cohort study. Adults who received ECMO therapy from 2006 to 2014 were included. Survivors of ECMO were defined as patients who underwent ECMO and survived over 365 days after the initiation of ECMO therapy.ResultsA total of 3,055 survivors of ECMO were included in the final analysis. They were classified into the pre‐ECMO depression group (n = 275 [9.0%]), post‐ECMO depression group (n = 331 [10.8%]), and other ECMO survivor group. In the multivariable Cox regression model, a 1.52‐fold higher mortality was observed in the post‐ECMO depression group than in the other groups (hazard ratio, 1.52; 95% confidence interval, 1.17–1.96;p = .002). However, there was no statistically significant difference between the pre‐ECMO depression group and the other groups (p = .075).ConclusionsThe prevalence of pre‐ and post‐ECMO depression was 9.0% and 10.8%, respectively. Additionally, post‐ECMO depression was associated with an increased 5 year all‐cause mortality; however, pre‐ECMO depression was not.
Genetic alterations associated with multiple primary malignancies
Authors: Nyqvist Jenny , Kovács Anikó , Einbeigi Zakaria , Karlsson Per , Forssell‐Aronsson Eva , Helou Khalil , Parris Toshima Z. 
Published: May 2021

AbstractBreast cancer (BC) patients are frequently at risk of developing other malignancies following treatment. Although studies have been conducted to elucidate the etiology of multiple primary malignancies (MPM) after a BC diagnosis, few studies have investigated other previously diagnosed primary malignancies (OPPM) before BC. Here, genome‐wide profiling was used to identify potential driver DNA copy number alterations and somatic mutations that promote the development of MPMs. To compare the genomic profiles for two primary tumors (BC and OPPM) from the same patient, tumor pairs from 26 young women (≤50 years) diagnosed with one or more primary malignancies before breast cancer were analyzed. Malignant melanoma was the most frequent OPPM, followed by gynecologic‐ and hematologic malignancies. However, significantly more genetic alterations were detected in BC compared to the OPPM. BC also showed more genetic similarity as a group than the tumor pairs. Clonality testing showed that genetic alterations on chromosomes 1, 3, 16, and 19 were concordant in both tumors in 13 patients. TP53 mutations were also found to be prevalent in BC, MM, and HM. Although all samples were classified as genetically unstable, chromothripsis‐like patterns were primarily observed in BC. Taken together, few recurrent genetic alterations were identified in both tumor pairs that can explain the development of MPMs in the same patient. However, larger studies are warranted to further investigate key driver mutations associated with MPMs.
Comparing Child Homicide: An Examination of Characteristics by Degrees of Intimacy
Authors: Johnson Anna , Dawson Myrna 
Published: May 2021

Child homicides are rare occurrences, but when they occur, they often cause significant outrage. This paper examines the role of varying degrees of intimacy between victims and perpetrators in determining characteristics in child homicide cases. Focusing on 533 cases of child homicide between 1985 and 2012 in Ontario, Canada, characteristics of intrafamilial and extrafamilial cases, biological and step/foster parents, and maternal and paternal perpetrators are compared. Results show that characteristics of the child homicide vary depending on the degree of intimacy between victims and perpetrators, including: perpetrator and victim age, weapon use, suicide following the offence, sexual violence and use of excessive force. These findings provide support for developmental victimology and a routine activities theoretical perspective. Suggestions for future research and policy implications are also discussed.‘Examines the role of varying degrees of intimacy between victims and perpetrators in determining characteristics in child homicide cases’Key Practitioner Messages

Younger children are at a greater risk of homicide from family members, while older children are at a greater risk of homicide from individuals outside the family.
Developmental victimology and routine activities theory can contribute to a better understanding of the dynamics between victims and perpetrators in child homicide.
Collaboration should take place between researchers, child death review committees, mental health services, social services and policymakers to improve child homicide prevention and intervention initiatives.
Fooled in the relationship: How Amazon Prime members' sense of self‐control counter‐intuitively reinforces impulsive buying behavior
Authors: Ramadan Zahy , Farah Maya F. , Bou Saada Rana 
Published: May 2021

AbstractAmazon, the leader in the e‐retailing sector, has revolutionized online shopping through its vast areas of customer solutions, particularly with its Amazon Prime membership. Nonetheless, shoppers' behavior and attitudes in similar programs are yet to be researched. Accordingly, this study aims to examine the effect of self‐control on trust, affective attachment and impulse buying in online membership programs. Herein, researchers integrate retailers‐consumers' relational variables alongside shoppers' behavioral dimensions, to understand the long‐term relationship members have with Amazon Prime. A quantitative approach was adopted for this purpose, based on data collected over a period of 2 months from 630 respondents surveyed across the United States of America. Findings show that while self‐control first delimits impulsive shopping, it also reinforces shoppers' cognitive and affective ties with Amazon Prime, counterintuitively increasing their impulsive buys. This study is thus the first to demonstrate that retailers' membership programs such as Amazon Prime may come at the expense of consumers. This is due to the fact that such programs appear to reinforce impulsive behavior, while giving a false sense of self‐control to the shopper.
Abnormal neuronal damage and inflammation in the hippocampus of kainic acid‐induced epilepsy mice
Authors: Li Xiaoying , Yang Ciqing , Shi Yaping , Guan Lihong , Li Han , Li Shuanqing , Li Yunxiao , Zhang Yong , Lin Juntang 
Published: May 2021

In this study, we established a mouse model of epilepsy and analysed abnormal neuronal damage and inflammation in the hippocampus of mice with kainic acid (KA)‐induced epilepsy to provide the basis for the pathogenesis of epilepsy. C57 mice, aged 4 weeks, were injected intraperitoneally in the KA group with 20 mg/kg of KA and in the sham experimental group with normal saline. The whole brain and hippocampus of mice in the sham experimental group and KA epilepsy model group were collected on days 7, 14, 21 and 28 after injection. The difference in the protein expression in the hippocampus was detected using fluorescence immunohistochemistry. The hippocampal tissue was also collected and frozen to detect protein expression by western blot. The results of the haematoxylin and eosin (HE) and Nissl staining showed that the mouse model of temporal lobe epilepsy could be established by intraperitoneal injection of KA, and the success rate of the model was 53.8%. The expression of DCX‐, β‐catenin‐, GFAP‐ and Iba‐1‐labelled glial cells in the KA‐induced epilepsy model group were higher than those in the sham group. The results of western blotting showed that the expression of DCX and β‐catenin in the KA‐induced epilepsy model group was higher than that in the sham experimental group, while the expression of N‐cadherin and Iba‐1 on days 14 and 28 was significantly (P < .05) higher than that in the sham experimental group. In KA‐induced epilepsy model group, the expression of Bcl‐2 was decreased, while the expression of Bad and PUMA was increased.
Impact of a micro‐net mesh technology covering stent on coronary microvascular dysfunction in patients with high thrombus burden
Authors: Noirclerc Nathalie , Marliere Stephanie , Bakhti Akader , Mangin Lionel , Cassar Emmanuel , Vautrin Estelle , Piliero Nicolas , Ormezzano Olivier , Bouvaist Helene , Riou Laurent , Vanzetto Gerald , Belle Loic , Barone‐Rochette Gilles 
Published: May 2021

AbstractBackgroundHighly thrombotic coronary lesions continue to be a serious and clinically significant problem that is not effectively and completely addressed by current technology.ObjectivesWe aimed to investigate whether a micro‐net mesh (MNM) technology covering stent could preserve the index of microcirculatory resistance (IMR) after percutaneous coronary intervention (PCI) in patients with high thrombus burden.Methods and ResultsFifty‐two patients with non‐ST elevation myocardial infarction or ST Elevation Myocardial Infarction and high thrombus burden (TIMI thrombus grade ≥ 3) were randomized into two groups, PCI with a MNM covering stent (MNM group, n = 25) and PCI with any commercially available stent (DES group, n = 27). As the primary endpoint, IMR was measured immediately after PCI using a pressure–temperature sensor‐tipped coronary wire. The secondary endpoint was left ventricular ejection fraction (LVEF) at 6 months of follow‐up. The IMR in the MNM group was significantly lower in comparison to the DES group (33.2 [21.3, 48.9] vs. 57.2 [39.9, 98.0], p = 0.005). No significant differences were observed in baseline LVEF (54.5 ± 10.2% vs. 53.1 ± 6.87%, p = .57), while LVEF was significantly improved at follow‐up in the MNM group (61.1 ± 7.1% vs. 53.9 ± 6.35%, p = .0001).ConclusionMNM technology significantly improved coronary microvascular dysfunction after PCI in patient with acute coronary syndrome and appears as a useful technological option for thrombus management.
Suitability of the current breadmaking quality test to predict the breadmaking potential of healthy bread formulations
Authors: Hernández‐Espinosa Nayelli , Guzmán Carlos , Morales‐Dorantes Anayeli Sarai , Crespo‐Herrera Leonardo , Mondal Suchismita , Singh Ravi , Ibba Maria Itria 
Published: May 2021

AbstractBackground and objectivesSelection for high breadmaking quality is mostly conducted using tests employing refined flour and added salt which may not be adequate for selecting lines with high wholemeal or low‐sodium breadmaking potential. The objective of this study was thus to evaluate the suitability of the current breadmaking quality tests for the selection of wheat lines intended for high‐quality healthier breads.FindingsA set of common wheat lines was analyzed for its breadmaking quality using three bread formulations: refined flour and 1% salt (RF); refined flour and no added salt (RNa); and reconstituted flour and 1% salt (WM). The RNa bread quality was accurately predicted using the RF formulation (r > 0.90) and was highly correlated with protein content and dough properties. Differently, the WM breadmaking quality was less predictable using the RF formulation (r = 0.64) and was highly correlated with grain hardness and dough properties but less with protein content.ConclusionsThe current methods used for evaluating wheat breadmaking quality are effective to predict low‐sodium bread quality but not wholemeal bread quality.Significance and noveltyResults of this study highlighted the need of using wholemeal rather than refined flour for the selection of wheat lines with high wholemeal breadmaking potential and suggested that traits such as grain hardness and SDS‐sedimentation volume could be useful to predict high wholemeal breadmaking quality.
Analysis of Updated Literature Data up to 2019 on the Oxidative Coupling of Methane Using an Extrapolative Machine‐Learning Method to Identify Novel Catalysts
Authors: Mine Shinya , Takao Motoshi , Yamaguchi Taichi , Toyao Takashi , Maeno Zen , Hakim Siddiki S. M. A. , Takakusagi Satoru , Shimizu Ken‐ichi , Takigawa Ichigaku 
Published: May 2021

AbstractWe have constructed and analyzed an updated dataset consisting of 4759 experimental datapoints for the oxidative coupling of methane (OCM) reaction based on literature data reported before 2020 (∼2019) using machine learning (ML) methods. Several ML methods, including random forest regression (RFR), extra trees regression (ETR), and gradient boosting regression with XGBoost (XGB), were used in conjunction with our proposed approach, in which elemental features are used as input representations rather than inputting the catalyst compositions directly. A recent research trend, namely, the extensive exploration of Mn/Na2WO4/SiO2 catalyst systems in recent years due to their high activity and durability, was clearly reflected in the dataset analysis. An ML model for the prediction of the reaction outcome (C2 yield) was successfully developed, and feature importance scores and SHapley Additive exPlanations (SHAP) values were calculated based on ETR and XGB, respectively, to identify the input variables with the greatest influence on the catalyst performance and observe how these important variables affect the C2 yield in the OCM. The discovery and optimization of catalytic processes using ML as a “surrogate” model were explored, and promising catalytic system candidates for the OCM reaction were identified. Notably, the developed ML model predicted catalysts containing elements that do not appear in the OCM dataset. This clearly demonstrates desirably high potential of our ML model to enable extrapolative predictions for ML‐aided future catalysis research.
Hydrogenation of a Benzene‐Toluene Mixture Using Metal Nanoparticles Stabilized by a Hyper‐Crosslinked Aromatic Polymer
Authors: Bykov Alexey V. , Demidenko Galina N. , Nikoshvili Linda Zh. , Sulman Mikhail G. , Kiwi-Minsker Lioubov 
Published: May 2021

AbstractHydrogenation of aromatic compounds is a widely used catalytic process in modern industry. Selective hydrogenation of benzene (BZ)‐toluene (TL) mixtures is an important industrial process as it allows the purification of BZ for further synthetic purposes. In this work, the hydrogenation of a BZ‐TL mixture (at a molar ratio close to 1) was studied for varying reaction parameters (temperature in the range of 100–180 °C and pressure in the range of 1–7 MPa) using Pt‐, Pd‐, and Ru‐containing nanoparticles stabilized by an amino‐functionalized hyper‐crosslinked aromatic polymer (HAP). Among the synthesized catalytic systems, Ru/HAP containing ruthenium(IV) oxide was shown to be the most active and selective one, allowing 44 % selectivity with respect to cyclohexane at nearly 100 % of BZ conversion.
Non‐Parallel Photo‐Assisted Electrocatalysis Mechanism of SnS2/NiO Heterojunction for Efficient Electrocatalytic Oxygen Evolution Reaction
Authors: Gao Yidan , Bai Ling , Zhang Xin , Yang Fengchun 
Published: May 2021

AbstractDeveloping high activity electrocatalysts for OER with low cost materials has remained a great challenge in electrochemical water splitting. As a clean and renewable energy source, light energy is becoming increasingly important as a driving force to improve the performance of catalyst. Herein, we investigate the electrocatalytic activity of SnS2/NiO heterojunction under visible light irradiation. The p‐n junction structure promotes the production of more high‐valence Ni (Ni3+) on NiO after illumination as the active site of OER. SnS2/NiO shows superior electrocatalytic activity, small overpotential of 310 mV for OER to afford a current density of 10 mA cm−2 and a significant current density. Moreover, a photo‐assisted non‐parallel catalytic mechanism is proposed according to the mode of action of light. At low potentials, light is the dominant player to reduce the initial potential of the OER reaction, and at high potentials, the applied potential acts as the dominant player to further increase OER performance. This work provides an efficient strategy to manipulate the electronic environment, optical energy and energy band of semiconductors for improved electrocatalytic OER activity.
Surface Diffusion of Underpotential‐Deposited Lead Adatoms on Gold Nanoelectrodes
Authors: Zhang Baodan , Wang Wei , Liu Cheng , Han Lianhuan , Peng Juan , Oleinick Alexander , Svir Irina , Amatore Christian , Tian Zhong‐Qun , Zhan Dongping 
Published: May 2021

AbstractA simple and readily applicable voltammetric approach is described to characterize and measure the site‐hopping surface diffusion of underpotential‐deposited (UPD) metal adatoms at nanoelectrodes. UPD refers to the deposition of atoms on foreign metal supports at potentials lower than those predicted by Nernst law for a bulk deposition. Despite its importance in several fields of catalysis, advanced nanofabrication or even atomic nanoengineering by atomic layer epitaxy, diffusion of UPD adatoms is difficult to observe at micro‐ and macroelectrodes. In fact, at electrodes of usual dimensions, UPD adatoms surface diffusion is masked by other electrochemical phenomena of greater relative amplitudes. Conversely, at nanowires electrodes sealed in glass, only an extremely small fraction of the surface of the wires is exposed to the electrolyte solution and is rapidly loaded. This allows the spillage of UPD adatoms onto the much larger area of the nanowire rod which is immune to Faradaic reactions due to its isolation from the electrochemical solution by the glass casing. Therefore, surprisingly for a UPD process, voltammetric peaks currents and integral desorption charges primarily reflect these diffusional surface processes so that the integral charges vary linearly with the inverse of the square root of the scan rate. This is easily observable and measurable with usual bench‐level electrochemical instrumentation. In this work, by using nanoelectrodes with diameters between 90 and 260 nm, we were able to establish the major involvement of this site‐hopping surface diffusion of UPD Pb adatoms on polycrystalline gold (Au) and characterize it quantitatively. The equivalent surface diffusion coefficient of UPD Pb adatoms was determined to be ∼4.4×10−11 cm2 s−1 at room temperature, corresponding to a Gibbs free energy activation barrier of ca. 18.72 kJ mol−1 (i. e., 0.19 eV per Pb adatom) for the reaction of inter‐sites exchange of Pb adatoms on a polycrystalline Au surface.
Spatiotemporal Resolved Live Cell Membrane Tracking through Photo‐click Reactions Enriched in Lipid Phase
Authors: Wu Xueting , Deng Jiajie , Guo Guiling , Zheng Yuanqin , Xiong Qin , Zheng Tingting , Zhao Xiaohu , Yu Zhipeng 
Published: May 2021

AbstractA set of photo‐switchable monopeptides derived from cis‐β‐dibenzodiazocine‐l‐alanine (cis‐DBDAA) have been designed and synthesized, which are capable of photo‐click reacting with diaryltetrazoles or diarylsydnones in a hydrophobic phospholipid bilayer environment. The DBDAA monopeptides include both a hydrophobic tail on C‐terminal, providing high affinity toward lipid membrane, and a modularized functional moiety on N‐terminal, enabling rapid optimization of the self‐assembly strength to form multifunctional supramolecules. With the cis‐DBDAA monopeptides photo‐switched into trans‐configuration, we were able to disrupt the supramolecular assembly through an efficient photo‐click reaction across the lipid bilayer of liposomes. We reveal that the performance of the photo‐click reactions between the monopeptides and photo‐generated nitrile imine intermediates is significantly enhanced by enrichment of both reactants in the hydrophobic membrane lamel of liposomes. Enrichment of the DBDAA monopeptide in lipid phase serves as a convenient method to introduce bioorthogonal chemical handles on live cell membranes, which enables fluorescence labelling of single cell's membrane with high spatiotemporal resolution to facilitate the studies on cell membrane dynamics.