bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of emotional and motivational regulation on putting performance: a frontal alpha asymmetry study
Authors: Chen Tai-Ting , Wang Kuo-Pin , Cheng Ming-Yang , Chang Yi-Ting , Huang Chung-Ju , Hung Tsung-Min 
Published: April 2019

Background
The efficacy of emotional and motivational regulation can determine athletic performance. Giving the short duration and fast changing nature of emotions experienced by athletes in competition, it is important to examine the temporal dynamics of emotional and motivational regulation. The aim of this study was to investigate emotional and motivational regulation as measured by frontal alpha asymmetry in skilled golfers during putting performance after a performance failure.

Methods
Twenty skilled university golfers were recruited and requested to perform 40 putts at an individualized difficulty level of 40–60% successful putting rate. Trials immediately after a failed putt were selected for analysis. Successful performances were those trials where a hole was and unsuccessful performances were those that failed. The frontal alpha asymmetry index of LnF4-LnF3 was derived for statistical analysis.

Results
(1) Successful performance was preceded by a larger frontal alpha asymmetry index at T2 than that of T1, and (2) a larger frontal alpha asymmetry index was observed for unsuccessful performance than for successful performance at T1.

Discussion
The results suggest that successful emotional and motivational regulation was characterized by a progressive increase of frontal alpha asymmetry, which led to subsequent putting success when facing an emotionally provocative putting failure. These findings shed light on the application of frontal alpha asymmetry for the understanding and enhancement of emotional and motivational regulation during sport performance.
Input motion inversion in elastoplastic soil model using modal iterative error correction method
Authors: Suzuki Takuya 
Published: April 2019

AbstractIn conducting simulation analyses for the safety assessment of buildings following an earthquake, the input motion should be set to reproduce an observed wave at an observed point. If the analysis model is linear, the input motion can be easily set, whereas it is difficult to do so if the analysis model exhibits nonlinearity. This study proposes a new time‐domain inversion method using a generalized inverse of the perturbation impulse matrix and the iterative method. First, the method outline and details are described. Second, the effectiveness of the method is verified through experimentation. As a result, it is verified that the input motion that reproduces the surface response of a nonlinear soil model can be calculated using the proposed methods. It is confirmed that the proposed methods for inversion in nonlinear soil models is very effective, the analysis of which has been difficult until now.
Room‐Temperature Metallic Fusion‐Induced Layer‐by‐Layer Assembly for Highly Flexible Electrode Applications
Authors: Song Yongkwon , Kim Donghee , Kang Sungkun , Ko Younji , Ko Jongkuk , Huh June , Ko Yongmin , Lee Seung Woo , Cho Jinhan 
Published: April 2019

AbstractTo fabricate flexible electrodes, conventional silver (Ag) nanomaterials have been deposited onto flexible substrates, but the formed electrodes display limited electrical conductivity due to residual bulky organic ligands, and thus postsintering processes are required to improve the electrical conductivity. Herein, an entirely different approach is introduced to produce highly flexible electrodes with bulk metal–like electrical conductivity: the room‐temperature metallic fusion of multilayered silver nanoparticles (NPs). Synthesized tetraoctylammonium thiosulfate (TOAS)‐stabilized Ag NPs are deposited onto flexible substrates by layer‐by‐layer assembly involving a perfect ligand‐exchange reaction between bulky TOAS ligands and small tris(2‐aminoethyl)amine linkers. The introduced small linkers substantially reduce the separation distance between neighboring Ag NPs. This shortened interparticle distance, combined with the low cohesive energy of Ag NPs, strongly induces metallic fusion between the close‐packed Ag NPs at room temperature without additional treatments, resulting in a high electrical conductivity of ≈1.60 × 105 S cm−1 (bulk Ag: ≈6.30 × 105 S cm−1). Furthermore, depositing the TOAS–Ag NPs onto cellulose papers through this approach can convert the insulating substrates into highly flexible and conductive papers that can be used as 3D current collectors for energy‐storage devices.
Multidimension‐Controllable Synthesis of Ant Nest‐Structural Electrode Materials with Unique 3D Hierarchical Porous Features toward Electrochemical Applications
Authors: Miao Fujun , Lu Na , Zhang Peng , Zhang Zhenyi , Shao Guosheng 
Published: April 2019

AbstractHierarchical porous materials (HPM) have been widely used to enhance electrochemical performance in different fields of application, since their porous structures benefit electrolyte infiltration and ion diffusion. However, the realization of multidimension‐controllable synthesis of HPM, including material category, material components, supporting substrates, as well as pore sizes/distributions, is still a huge challenge. Herein, a novel concept is proposed, for the first time, on the geometry structure of HPM bioinspired by natural ant nests, which features 3D interlaced and well‐interconnected porous structures. Moreover, a facile and universal approach is developed to the multidimension‐controllable synthesis of ant nest‐structural HPM. Further investigation shows that the in situ construction of carbon‐based ant nests onto porous current collectors to fabricate the integrated electrode for supercapacitors could induce nearly 70% and 45% enhancement on the specific capacitance compared to the common powder and freestanding materials, respectively. Moreover, this synthesis route can be facilely extended to obtain the ant nest‐structural CuOx, which exhibits fivefold enhancement in sensitivity for glucose detection. Such biomimetic hierarchical porous architectures are of great significance in the field of electrochemical applications.
Complex Band Structures and Lattice Dynamics of Bi2Te3‐Based Compounds and Solid Solutions
Authors: Fang Teng , Li Xin , Hu Chaoliang , Zhang Qi , Yang Jiong , Zhang Wenqing , Zhao Xinbing , Singh David J. , Zhu Tiejun 
Published: April 2019

AbstractBi2Te3‐based compounds and derivatives are milestone materials in the fields of thermoelectrics (TEs) and topological insulators (TIs). They have highly complex band structures and interesting lattice dynamics, which are favorable for high TE performance as well as strong spin orbit and band inversion underlying topological physics. This review presents rational calculations of properties related to TEs and provides theoretical guidance for improving the TE performance of Bi2Te3‐based materials. Although the band structures of these TE materials have been studied theoretically and experimentally for many years, there remain many controversies on band characteristics, especially the locations of band extrema and the exact values of bandgaps. Here, the key factors in the theoretical investigations of Bi2Te3, Bi2Se3, Sb2Te3, and their solid solutions are reviewed. The phonon spectra and lattice thermal conductivities of Bi2Te3‐based materials are discussed. Electronic and phonon structures and TE transport calculations are discussed and reported in the context of better establishing computational parameters for these V2VI3‐based materials. This review provides a useful guidance for analyzing and improving TE performance of Bi2Te3‐based materials.
Edge‐State‐Enhanced Ultrahigh Photoresponsivity of Graphene Nanosheet‐Embedded Carbon Film/Silicon Heterojunction
Authors: Zhang Xi , Lin Zezhou , Peng Da , Ye Lei , Zang Jianfeng , Diao Dongfeng 
Published: April 2019

AbstractLacking of electron trapping centers hinders the development of plane graphene for sensitive photodetection. An ultrasensitive graphene nanosheet‐embedded carbon (GNEC) film/silicon photodetector is proposed by introducing high‐density edges of standing structured graphene nanosheets (GNs). The GNEC film is prepared to contain a large amount of vertically grown GNs. The high‐density edges are able to trap itinerate electrons to tune the Fermi level of GNs in the growing process and to capture the photoexcited electrons to reduce the electron–hole recombination rate in the photovoltaic process. An ultrahigh responsivity of 61.52 A W−1 of GNEC film/Si photodetector is achieved, ≈20 times of graphene/Si photovoltaic detectors. A high specific detectivity of 3.05 × 1014 Jones (approximately two orders improved) is obtained at bias‐free mode. This work sheds light on the edge engineering of 2D materials in the third dimension in order for enhancing photoelectronic performance.
Green Synthesis of Robust Superhydrophobic Antibacterial and UV‐Blocking Cotton Fabrics by a Dual‐Stage Silanization Approach
Authors: Agrawal Neha , Tan Jasmine Si Jia , Low Pearlie Sijia , Fong Eileen Wen Mei , Lai Yuekun , Chen Zhong 
Published: April 2019

AbstractSynthesis of multifunctional fabrics with long‐lasting durability remains a quest for researchers in the past decade. In this work, robust coatings on cotton fabrics for superhydrophobic, antibacterial, and UV‐blocking functionalities by a dual‐stage silanization technique are reported. Aminopropyltriethoxysilane is utilized as a silane cross‐linker to anchor zinc oxide nanoparticles to the pristine cotton fabric surface, followed by modification with a silane hydrophobe, hexadecyltrimethoxysilane. This dual‐silanization approach results in highly functional fabrics displaying superhydrophobicity with a water contact angle of 154°, water shedding angle of 2°, antibacterial activity of up to 98%, and UV‐blocking ability more than 200 times of pristine cotton. The as‐prepared fabrics display excellent durability against abrasion, ultrasonic washing, immersion in different pH solutions, and UV irradiation. Moreover, the air permeability and flexural rigidity of the fabrics are still within the required breathability and wearer comfortability for clothing applications. The reported process is simple, cost‐effective, and green, showing great promise for large‐scale production of multifunctional fabrics.
Four Pathways in Radical Alkylation of Isocyanide with Simple Alcohol
Authors: Liu Shuai , Fan Fenghua , Wang Nengyong , Yuan Dandan , Wang Yaxin , Luo Zaigang , Liu Zhong‐Quan 
Published: April 2019

AbstractWe demonstrated herein the four modes in free‐radical C−C formation reaction of isocyanide with alcohol. The experimental results and DFT calculation revealed when and why one model opens. It would be instructive and valuable for radical alkylation with alcohol in organic synthesis.magnified image
Diseleno[3,2‐b:2′,3′‐d]selenophene‐Containing High‐Mobility Conjugated Polymer for Organic Field‐Effect Transistors
Authors: Jang Soo‐Young , Kim In‐Bok , Kang Minji , Fei Zuping , Jung Eunhwan , McCarthy‐Ward Thomas , Shaw Jessica , Lim Dae‐Hee , Kim Yeon‐Ju , Mathur Sanjay , Heeney Martin , Kim Dong‐Yu 
Published: April 2019

AbstractThe synthesis of a diseleno[3,2‐b:2′,3′‐d]selenophene (DSS) composed of three fused selenophenes is reported and it is used as a building block for the preparation of a high hole mobility conjugated polymer (PDSSTV). The polymer demonstrates strong intermolecular interactions even in solution, despite steric repulsion between the large Se atom in DSS and adjacent (Cβ)–H atoms which leads to a partially twisted confirmation PDSSTV. Nevertheless, 2D grazing incidence X‐ray diffraction (2D‐GIXD) analysis reveals that the polymer tends to align in a highly ordered edge‐on orientation after thermal annealing. The polymer demonstrates promising performance in a field‐effect transistor device with saturated hole mobility up to 2 cm2 V−1 s−1 obtained under relatively low gate voltages of −30 V. The ultilization of a Se‐containing fused aromatic system, therefore, appears to be a promising avenue for the development of high‐performance conjugated polymers.
Chemical Bonding in Polarised Push–Pull Ethylenes
Authors: Yanai Hikaru , Suzuki Takumi , Kleemiss Florian , Fukaya Haruhiko , Dobashi Yasuo , Malaspina Lorraine A. , Grabowsky Simon , Matsumoto Takashi 
Published: April 2019

Abstract1,1‐Diamino‐2,2‐bis(triflyl)ethylenes with both twisted and planar structures around the partial “C=C” bond were synthesised. Bonding properties in these compounds were analysed by an experimental approach using high‐resolution X‐ray diffraction data treated with X‐ray wavefunction refinement (XWR). In the twisted compound, a dominant contribution of the charge‐separated resonance structure was revealed. On the contrary, the nearly planar compound still showed π‐bonding character, however, with a considerable contribution of the charge‐separated resonance structure.
Implementing an OR Contact Precautions Decision Algorithm to Promote Interprofessional Teamwork for Infection Prevention
Authors: Lacourciere Andrea , Kumar Orissa , Apold Susan 
Published: April 2019

AbstractPerioperative nurses use aseptic and sterile technique along with standard cleaning and disinfection practices to prevent surgical site infections. At our hospital, OR team members identified a clinical problem: the lack of a systematic approach to determine the type of postprocedure cleaning required between procedures involving patients with multi‐drug resistant organisms or Clostridium difficile. Facility leaders developed a project to design and implement an evidence‐based decision‐making algorithm to help perioperative nurses rapidly identify the appropriate environmental cleaning procedures for these ORs. After the perioperative nurses were taught how to use the algorithm, it was put into use. Nineteen months later, the nurses completed a postimplementation survey. The results of the survey were generally positive, and the cleaning process was more standardized. We found that a decision‐making algorithm was an effective tool to determine the proper postprocedure environmental cleaning between surgical procedures for patients with multi‐drug resistant organisms or C difficile.
Subnano‐Sized Pt–Au Alloyed Clusters as Enhanced Cocatalyst for Photocatalytic Hydrogen Evolution
Authors: Cheng Ling , Li Yuhang , Chen Aiping , Zhu Yihua , Li Chunzhong 
Published: April 2019

AbstractPhotocatalytic water splitting for H2 evolution is regarded as the most promising way to overcome the energy and environmental crisis. Pt clusters as a cocatalyst can efficiently enhance the performance of H2 generation in most photocatalysts, but the activity is still unsatisfied. By tuning the electronic structures of materials, one can develop catalysts with enhanced activity. Here we synthesize a Pt–Au alloy with subnano size as cocatalyst on TiO2 nanosheets for photocatalytic H2 generation that shows an outstanding activity with a H2 generation rate of 80.1 μmol h−1 for at least 100 h. The activity is twice than the pure Pt cocatalyst, mainly because the optimized hydrogen adsorption energy on Pt cluster is tuned by Au atoms.
Atypical longitudinal development of speech‐evoked auditory brainstem response in preschool children with autism spectrum disorders
Authors: Chen Jierong , Liang Chun , Wei Zhen , Cui Zitian , Kong Xuejun , Dong Cun‐jian , Lai Yuan , Peng Ziwen , Wan Guobin 
Published: April 2019

Language impairment is common in children with autism spectrum disorders (ASDs). Previous research has shown that this disability may be, in part, due to atypical auditory processing of speech stimuli. However, how speech sounds are processed in children with ASD remains largely unknown. The present study assessed the developmental pattern of auditory information processing at the level of the brainstem in preschool children with ASD using speech‐evoked auditory brainstem response (speech‐ABR). Children with ASD (N = 15) and of typical developing (TD) (N = 20), both of preschool age, were enrolled. The speech‐ABRs recorded at two different time points (T1 and T2; 9.68 months apart on average) were virtually identical in the TD group. However, in the ASD group, the wave V latency of speech‐ABR was significantly shortened and the amplitudes of wave A and C were significantly larger at T2, compared to those recorded at T1 (10.78 months apart on average). Compared to the TD group, the wave V and A latencies were prolonged at T1, whereas the wave E amplitude decreased and wave F latency prolonged at T2. There was a positive partial correlation between the language performance and the wave A amplitude in the ASD group. These results indicate that auditory processing at the subcortical level is well‐developed in the TD preschool children, but is immature and abnormal in the children with ASD at the same ages. Thus, aberrant speech processing at the brainstem level may contribute significantly to the language impairment in children with ASD at preschool ages. Autism Res 2019, 12: 1022–1031. © 2019 International Society for Autism Research, Wiley Periodicals, Inc.Lay SummaryLanguage impairment is common in children with autism spectrum disorders (ASDs). We investigated the developmental pattern of subcortical auditory processing by monitoring changes in the speech‐evoked auditory brainstem response (speech‐ABR) over a period of 10 months in preschool children. Our results show that subcortical auditory processing is impaired and immature in children with ASD compared with age‐matched, typically developing children. The results suggest that speech‐ABR may be used as an objective measure in evaluating the language performance of children with ASD. The results also suggest that aberrant speech processing at the level of the brainstem may contribute significantly to the language impairment in preschool children with ASD.
Autism risk genes are evolutionarily ancient and maintain a unique feature landscape that echoes their function
Authors: Casanova Emily L. , Switala Andrew E. , Dandamudi Srini , Hickman Allison R. , Vandenbrink Joshua , Sharp Julia L. , Feltus Frank Alex , Casanova Manuel F. 
Published: April 2019

Previous research on autism risk (ASD), developmental regulatory (DevReg), and central nervous system (CNS) genes suggests they tend to be large in size, enriched in nested repeats, and mutation intolerant. The relevance of these genomic features is intriguing yet poorly understood. In this study, we investigated the feature landscape of these gene groups to discover structural themes useful in interpreting their function, developmental patterns, and evolutionary history. ASD, DevReg, CNS, housekeeping, and whole genome control (WGC) groups were compiled using various resources. Multiple gene features of interest were extracted from NCBI/UCSC Bioinformatics. Residual variation intolerance scores, Exome Aggregation Consortium pLI scores, and copy number variation data from Decipher were used to estimate variation intolerance. Gene age and protein–protein interactions (PPI) were estimated using Ensembl and EBI Intact databases, respectively. Compared to WGC: ASD, DevReg, and CNS genes are longer, produce larger proteins, maintain greater numbers/density of conserved noncoding elements and transposable elements, produce more transcript variants, and are comparatively variation intolerant. After controlling for gene size, mutation tolerance, and clinical association, ASD genes still retain many of these same features. In addition, we also found that ASD genes that are extremely mutation intolerant have larger PPI networks. These data support many of the recent findings within the field of autism genetics but also expand our understanding of the evolution of these broad gene groups, their potential regulatory complexity, and the extent to which they interact with the cellular network. Autism Res 2019, 12: 860–869. © 2019 International Society for Autism Research, Wiley Periodicals, Inc.Lay SummaryAutism risk genes are more ancient compared to other genes in the genome. As such, they exhibit physical features related to their age, including long gene and protein size and regulatory sequences that help to control gene expression. They share many of these same features with other genes that are expressed in the brain and/or are associated with prenatal development.
Screening common signaling pathways associated with drug resistance in non‐small cell lung cancer via gene expression profile analysis
Authors: Sun Ting , Zhao Qitai , Zhang Chaoqi , Cao Ling , Song Mengjia , Maimela Nomathamsanqa Resegofetse , Liu Shasha , Wang Jinjin , Gao Qun , Qin Guohui , Wang Liping , Zhang Yi 
Published: April 2019

AbstractLung cancer is the leading cause of cancer‐related deaths worldwide. Although several therapeutic strategies have been employed to curb lung cancer, the survival rate is still poor owing to the development of drug resistance. The mechanisms underlying drug resistance development are incompletely understood. Here, we aimed to identify the common signaling pathways involved in drug resistance in non‐small cell lung cancer (NSCLC). Three published transcriptome microarray data were downloaded from the Gene Expression Omnibus (GEO) database comprising different drug‐resistant cell lines and their parental cell lines. Differentially expressed genes (DEGs) were identified and used to perform Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. An overlapping analysis was performed for KEGG pathways enriched from all the three datasets to identify the common signaling pathways. As a result, we found that metabolic pathways, ubiquitin‐mediated proteolysis, and mitogen‐activated protein kinase (MAPK) signaling were the most aberrantly expressed signaling pathways. The knockdown of nicotinamide phosphoribosyltransferase (NAMPT), the gene involved in metabolic pathways and known to be upregulated in drug‐resistant tumor cells, was shown to increase the apoptosis of cisplatin‐resistant A549 cells following cisplatin treatment. Thus, our results provide an in‐depth analysis of the signaling pathways that are commonly altered in drug‐resistant NSCLC cell lines and highlight the potential strategy that facilitates the development of interventions to interfere with upregulated signaling pathways as well as to boost downregulated signaling pathways in drug‐resistant tumors for the elimination of multiple resistance of NSCLC.
Catalytically Active Species in Copper/DiPPAM‐Catalyzed 1,6‐Asymmetric Conjugate Addition of Dialkylzinc to Dienones: A Computational Overview
Authors: Halbert Stéphanie , Lauberteaux Jimmy , Blons Charlie , de Figueiredo Renata Marcia , Crévisy Christophe , Baslé Olivier , Campagne Jean‐Marc , Mauduit Marc , Gérard Hélène 
Published: April 2019

AbstractFour different catalytically active species are computationally examined in order to investigate the mechanism of Cu/DiPPAM‐catalyzed 1,6‐conjugate addition of dialkylzinc to acyclic dienones. A DiPPAM‐bridged Cu(alkyl)‐Zn(acetate) bimetallic complex exhibits the best catalytic activity, which can be associated with the best balance between the stability of the dienone adduct and its activation by copper. The selectivities (regio‐ and enantioselectivity) associated with the retained mechanism are investigated by DFT calculations and successfully compared to experimental data, including the critical influence of the substituents within the dienone on the regioselectivity and the obtained enantioselectivity for the formation of one 1,6‐adduct.