bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incidence des temps et revenus professionnels sur le partage de l’activité domestique au sein de couples new-yorkais, tokyoïtes et parisiens1
Authors: Dupray Arnaud , Daune Richard Anne-Marie , Nohara Hiroatsu 
Published: February 2019

L’enjeu de l’article est d’explorer les modes de répartition conjugale du travail domestique en fonction des situations des conjoints par rapport à l’emploi et ce, dans trois métropoles appartenant à des pays aux niveaux de développement comparables mais relevant de contextes institutionnels et sociétaux distincts. À partir des grilles typologiques de « modèles familiaux » et d’« État-Providence » et en exploitant une enquête internationale sur les budgets-temps menée en 2007auprès de couples de classes moyenne et supérieure vivant dans les agglomérations de New York, Paris et Tokyo, on met en évidence des résultats à trois niveaux : une situation moins inégalitaire aux États-Unis que dans les autres pays avec une plus forte parité des investissements domestiques des conjoints indépendamment de leur activité professionnelle ; une plus grande proximité entre couples parisiens et tokyoïtes dans les modalités de partage du temps de travail domestique alors que les premiers se rapprochent plus des new-yorkais par leurs caractéristiques; enfin, c’est dans les États-providence conservateurs comme le Japon et la France qu’à la fois la disponibilité temporelle des conjoints et la contribution de chacun aux revenus du ménage pèsent le plus sur la répartition effective de l’activité domestique.
Simultaneously Dual Modification of Ni‐Rich Layered Oxide Cathode for High‐Energy Lithium‐Ion Batteries
Authors: Yang Huiping , Wu Hong‐Hui , Ge Mingyuan , Li Lingjun , Yuan Yifei , Yao Qi , Chen Jie , Xia Lingfeng , Zheng Jiangming , Chen Zhaoyong , Duan Junfei , Kisslinger Kim , Zeng Xiao Cheng , Lee Wah‐Keat , Zhang Qiaobao , Lu Jun 
Published: February 2019

AbstractA critical challenge in the commercialization of layer‐structured Ni‐rich materials is the fast capacity drop and voltage fading due to the interfacial instability and bulk structural degradation of the cathodes during battery operation. Herein, with the guidance of theoretical calculations of migration energy difference between La and Ti from the surface to the inside of LiNi0.8Co0.1Mn0.1O2, for the first time, Ti‐doped and La4NiLiO8‐coated LiNi0.8Co0.1Mn0.1O2 cathodes are rationally designed and prepared, via a simple and convenient dual‐modification strategy of synchronous synthesis and in situ modification. Impressively, the dual modified materials show remarkably improved electrochemical performance and largely suppressed voltage fading, even under exertive operational conditions at elevated temperature and under extended cutoff voltage. Further studies reveal that the nanoscale structural degradation on material surfaces and the appearance of intergranular cracks associated with the inconsistent evolution of structural degradation at the particle level can be effectively suppressed by the synergetic effect of the conductive La4NiLiO8 coating layer and the strong TiO bond. The present work demonstrates that our strategy can simultaneously address the two issues with respect to interfacial instability and bulk structural degradation, and it represents a significant progress in the development of advanced cathode materials for high‐performance lithium‐ion batteries.
Kerr Nonlinearity in 2D Graphdiyne for Passive Photonic Diodes
Authors: Wu Leiming , Dong Yuze , Zhao Jinlai , Ma Dingtao , Huang Weichun , Zhang Ye , Wang Yunzheng , Jiang Xiantao , Xiang Yuanjiang , Li Jianqing , Feng Yaqing , Xu Jialiang , Zhang Han 
Published: February 2019

AbstractGraphdiyne is a new carbon allotrope comprising sp‐ and sp2‐hybridized carbon atoms arranged in a 2D layered structure. In this contribution, 2D graphdiyne is demonstrated to exhibit a strong light–matter interaction with high stability to achieve a broadband Kerr nonlinear optical response, which is useful for nonreciprocal light propagation in passive photonic diodes. Furthermore, advantage of the unique Kerr nonlinearity of 2D graphdiyne is taken and a nonreciprocal light propagation device is proposed based on the novel similarity comparison method. Graphdiyne has demonstrated a large nonlinear refractive index in the order of ≈10−5 cm2 W−1, comparing favorably to that of graphene. Based on the strong Kerr nonlinearity of 2D graphdiyne, a nonlinear photonic diode that breaks time‐reversal symmetry is demonstrated to realize the unidirectional excitation of Kerr nonlinearity, which can be regarded as a significant demonstration of a graphdiyne‐based prototypical application in nonlinear photonics and might suggest an important step toward versatile graphdiyne‐based advanced passive photonics devices in the future.
Metal Mesh as a Transparent Omnidirectional Strain Sensor
Authors: Zhou Weixin , Li Yi , Li Pan , Chen Jun , Xu Rongqing , Yao Shanshan , Cui Zheng , Booth Ronald , Mi Baoxiu , Wang Dan , Ma Yanwen , Huang Wei 
Published: February 2019

AbstractThin metal films can be engineered to fabricate strain sensors by conquering their stiffness using wavy, buckle, or wrinkle topography. However, these structures usually operate in uniaxial or biaxial stretching directions, limiting their application in the omnidirectional model. Here a strain sensor is constructed by using metal mesh with honeycomb lattices and multiple domains as the sensitive unit, which simultaneously provides good stretchability and direction independence. Besides, the metal mesh structure makes it possible to obtain a transparent sensor with a sheet resistance of 26 Ω sq−1 at a transmittance of 79%. The sensor exhibits a highly sensitive resistance change with tension strain, demonstrated by quick response when monitoring the finger and muscle motion. The sensor also shows promising potential application in detecting periodic oscillation with selected frequency and even complex mechanical oscillation like glass vibration.
Highly Efficient Flexible Polymer Solar Cells with Robust Mechanical Stability
Authors: Tan Licheng , Wang Yilin , Zhang Jingwen , Xiao Shuqin , Zhou Huanyu , Li Yaowen , Chen Yiwang , Li Yongfang 
Published: February 2019

AbstractLandmark power conversion efficiency (PCE) over 14% has been accomplished for single‐junction polymer solar cells (PSCs). However, the inevitable fracture of inorganic transporting layers and deficient interlayer adhesion are critical challenges to achieving the goal of flexible PSCs. Here, a bendable and thickness‐insensitive Al‐doped ZnO (AZO) modified by polydopamine (PDA) has emerged as a promising electron transporting layer (ETL) in PSCs. It has special ductility and adhesion to the active layer for improving the mechanical durability of the device. Nonfullerenes PSCs based on PBDB‐T‐2F:IT‐4F with AZO:1.5% PDA (80 nm) ETL yield the best PCE of 12.7%. More importantly, a prominent PCE, approaching 11.5%, is reached for the fully flexible device based on Ag‐mesh flexible electrode, and the device retains >91% of its initial PCE after bending for 1500 cycles. Such thickness insensitivity, mechanical durability, and interfacial adhesion properties for the inorganic ETLs are desired for the development of flexible and wearable PSCs with reliable photovoltaic performance and large‐area roll‐to‐roll printing manufacture.
Thermodynamic mechanism of selective cocrystallization explored by MD simulation and phase diagram analysis
Authors: Wang Na , Huang Xin , Gong Hao , Zhou Yanan , Li Xin , Li Fei , Bao Ying , Xie Chuang , Wang Zhao , Yin Qiuxiang , Hao Hongxun 
Published: February 2019

AbstractThe thermodynamic mechanism of selective cocrystallization was investigated by combination of molecular dynamics (MD) simulations and phase diagram analysis, using system of urea and cresol isomers as model compounds. Hansen solubility parameters (HSPs) models were utilized to predict miscibility and cocrystal formation. Thermodynamic phase diagrams of cresol isomers and urea were measured with the help of process analysis technology. MD simulations were performed to investigate the intermolecular interactions between m‐ and/or p‐cresol and urea, by calculating the solvation free energies (SFEs) and analysing radial distribution functions (RDFs). The simulation and experimental results indicate that the solubility data of urea are apparently affected by the SFEs, which are linearly related with the concentration of urea. Moreover, it was also found that the type of O‐H···O=C hydrogen bond plays a critical role in the contribution of intermolecular interactions and is also a key factor for selective cocrystallization.
The Claustrum of the Pig: An Immunohistochemical and a Quantitative Golgi Study
Authors: Pirone Andrea , Miragliotta Vincenzo , Cozzi Bruno , Granato Alberto 
Published: February 2019

ABSTRACTDespite increasing interest in the claustrum (Cl) over the last decades, its function is still a puzzling problem. Among the experimental species of potential use in Cl research, the pig is considered an interesting model, because of the similarities of its brain with the corresponding cortical and subcortical human structures. The swine Cl presents a peculiar morphology, characterized by a wide posterior enlargement, ideal for physiological investigations. There is a wealth of data on general anatomy, cytoarchitecture, and chemo architecture of the Cl, but much less is known about the dendritic morphometry of its neurons. Dendritic length and branching pattern are key features to understand the organization of the microcircuitry, and thus the delineation of the structure–function relationships of the Cl. To this effect, we undertook (a) a quantitative study of the dendrites of the spiny neurons of the swine Cl, employing the Golgi staining; and (b) an immunohistochemical analysis to describe the distribution of the parvalbumin (PV)‐immunoreactive interneurons throughout the same nucleus. Taken together, the results that we report here show that the dendritic architecture and the distribution of the PV expressing interneurons change when the Cl of this species changes its shape along the rostro‐caudal axis, thus suggesting a potentially specific function for the large posterior puddle. Anat Rec, 302:1638–1646, 2019. © 2019 American Association for Anatomy
In Vitro Analysis of Palatal Shelf Elevation During Secondary Palate Formation
Authors: Yu Kai , Yonemitsu Marisa A. 
Published: February 2019

ABSTRACTPalatal shelf elevation is an essential morphogenetic process during secondary palate formation. It has been proposed that shelf elevation results from an intrinsic elevating force and is regulated by extrinsic factors that are associated with development of other orofacial structures. Although dynamic palate culture is a common in vitro approach for studying shelf elevation, it requires the tongue or the tongue and mandible to be removed before culture, which prevents any determination of the role of the extrinsic factors in regulating shelf elevation. We showed that ex vivo removal of the tongue and mandible from unfixed embryonic heads led to spontaneous shelf movements that were more pronounced at late E13.5 and early E14.5 than those of E12.5 and early E13.5, suggesting that the strength of the elevating force increases over time during palate development. We further used a suspension culture technique to analyze palatal shelf movement in an intact oral cavity by culturing the orofacial portion of embryonic heads that include the maxilla, palatal shelves, mandible, and tongue (MPMT). MPMT explants were cultured in the serum‐free medium with slow rotation for 24–48 hr. The palatal shelves successfully elevated during culture and displayed intermediate morphologies that closely resemble those of in vivo shelf elevation. We demonstrate that the tongue and mandible facilitate shelf medial movement/growth during shelf elevation and further suggest that the interaction of the palatal shelves and tongue could be one of the extrinsic factors that regulate the elevation process. Anat Rec, 302:1594–1604, 2019. © 2019 American Association for Anatomy
A New Tool for Digital Alignment in Virtual Anthropology
Authors: Profico Antonio , Buzi Costantino , Davis Christopher , Melchionna Marina , Veneziano Alessio , Raia Pasquale , Manzi Giorgio 
Published: February 2019

ABSTRACTThe study of the fossil record is fundamental to understand the evolution of traits. Because fossil remains are often fragmented and/or deformed by taphonomic processes, a preliminary realignment of their constituent parts is often necessary to properly interpret their shapes. In virtual anthropology, these procedures are carried out using digital models of the remains. We present a new semi‐automatic alignment R software, Digital Tool for Alignment (DTA), which uses the shape information contained in a reference sample to find the best alignment solution for the disarticulated regions. We tested DTA on three different case‐studies: (1) a sample of 14 primate species including both male and female individuals, (2) a simulated, disarticulated skull of Homo sapiens, and (3) a real disarticulated human fossil specimen, Amud 1 (Homo neanderthalensis). In the first case study, we simulated disarticulation directly on digital models of the primate skulls and tested alignment quality as a function of phylogenetic proximity, sex, and body size. In the second, we compared DTA to manual alignments conducted for the same digital models. Finally, we performed DTA on a real‐world case study. We found that phylogenetic proximity provides is the most important factor for alignment efficiency. However, sex and allometric effects might also be important and should therefore be taken into account at selecting reference models for alignments. DTA performs at least as well as manual alignments. Yet, as compared to manual procedures, it is faster, requires no prior anatomical knowledge and expertise and allows indefinite manipulation of the fossil items. Anat Rec, 302:1104–1115, 2019. © 2019 Wiley Periodicals, Inc.
Model Based Multiscale Analysis of Film Formation in Lithium‐Ion Batteries
Authors: Röder Fridolin , Laue Vincent , Krewer Ulrike 
Published: February 2019

AbstractEvidence for multiscale interaction of processes during surface film growth is provided using a multiscale modeling approach. The model directly couples a continuum pseudo two dimensional (P2D) battery model and a heterogeneous surface film growth model based on the kinetic Monte Carlo (kMC) method. Key parameters have been identified at basic electrochemical experiments, i. e., open circuit potential (OCP), C‐rate tests, and potential during filmformation. Simulations are in very good agreement with these experiments. Simulation results are shown for various formation procedures, i. e., for different applied C‐rates. Interaction between macroscopic transport processes on electrode scale and elementary reaction steps on atomistic scale are observed. Results reveal a distinct impact of the applied procedures on the atomistic structure of surface films. It can be seen that locally heterogeneous films are formed with very slow charging rate due to stochasticity of the growth process, while spatially heterogeneous films are formed with very fast charging rate due to the spatial heterogeneous distribution of concentration and potential. Therefore, the author's emphasize that in order to identify charging protocols for optimal film morphology multiscale interactions should be considered.
The use of tools of data mining to decision making in engineering education—A systematic mapping study
Authors: Buenaño‐Fernandez Diego , Villegas‐CH William , Luján‐Mora Sergio 
Published: February 2019

AbstractIn recent years, there has been an increasing amount of theoretical and applied research that has focused on educational data mining. The learning analytics is a discipline that uses techniques, methods, and algorithms that allow the user to discover and extract patterns in stored educational data, with the purpose of improving the teaching‐learning process. However, there are many requirements related to the use of new technologies in teaching‐learning processes that are practically unaddressed from the learning analytics. In an analysis of the literature, the existence of a systematic revision of the application of learning analytics in the field of engineering education is not evident. The study described in this article provides researchers with an overview of the progress made to date and identifies areas in which research is missing. To this end, a systematic mapping study has been carried out, oriented toward the classification of publications that focus on the type of research and the type of contribution. The results show a trend toward case study research that is mainly directed at software and computer science engineering. Furthermore, trends in the application of learning analytics are highlighted in the topics, such as student retention or dropout prediction, analysis of academic student data, student learning assessment and student behavior analysis. Although this systematic mapping study has focused on the application of learning analytics in engineering education, some of the results can also be applied to other educational areas.
Simple eddy current compensation by additional gradient pulses
Authors: Niederländer Benjamin , Blümler Peter 
Published: February 2019

AbstractA simple compensation concept for eddy currents generated by additional gradient pulses is presented. Similar to other pre‐emphasis schemes, the gradient pulse shape is overemphasized in the opposite way of the effect of the eddy currents to compensate for the deviations from the anticipated (rectangular) shape. In difference to other schemes no extra hardware is required, but eddy currents have been tried to be cancelled simply by a few short extra gradient pulses. The compensation can be done either by cancelling the amplitude of the eddy currents or their effect on the phase of the NMR‐signal. For certain conditions even analytical solutions can be found. The general treatment is validated by simulations and experiments.
Tail queues: A multi‐threaded matching architecture
Authors: Dosanjh Matthew G.F. , Grant Ryan E. , Schonbein Whit , Bridges Patrick G. 
Published: February 2019

SummaryAs we approach exascale, computational parallelism will have to drastically increase in order to meet throughput targets. Many‐core architectures have exacerbated this problem by trading reduced clock speeds, core complexity, and computation throughput for increasing parallelism. This presents two major challenges for communication libraries such as MPI: the library must leverage the performance advantages of thread level parallelism and avoid the scalability problems associated with increasing the number of processes to that scale. Hybrid programming models, such as MPI+X, have been proposed to address these challenges. MPI THREAD MULTIPLE is MPI's thread safe mode. While there has been work to optimize it, it largely remains non‐performant in most implementations. While current applications avoid MPI multithreading due to performance concerns, it is expected to be utilized in future applications. One of the major synchronous data structures required by MPI is the matching engine. In this paper, we present a parallel matching algorithm that can improve MPI matching for multithreaded applications. We then perform a feasibility study to demonstrate the performance benefit of the technique.
A fully soft switched high step‐up SEPIC‐boost DC‐DC converter with one auxiliary switch
Authors: Mirzaei Amin , Rezvanyvardom Mahdi , Najafi Ehsan 
Published: February 2019

SummaryThis paper proposed a new single‐ended primary inductor converter (SEPIC)‐boost DC‐DC converter that uses only one auxiliary switch to create soft switching condition for all semiconductor devices. The auxiliary circuit comprises one power switch (Sa), one resonant inductor (Lr), one resonant capacitor (Cr), and one diode (Do2). The auxiliary switch (Sa) controls the resonance during switching instants. The converter has simple structure and its control circuit remains pulse width modulation (PWM). Besides, the proposed converter has high voltage gain without using any transformer or coupled inductors. In addition, the auxiliary switch is not located in the main power path. Moreover, using soft switching techniques is the best way for reducing the size, weight, and volume of the converter. Furthermore, reduction of input inrush current and voltage stress for the main switch is obtained by using SEPIC‐boost structure. A laboratory prototype converter is designed and implemented. The experimental results presented confirm the theoretical and features of the proposed converter.
High‐Throughput Automated Single‐Cell Imaging Analysis Reveals Dynamics of Glioblastoma Stem Cell Population During State Transition
Authors: Chumakova Anastasia P. , Hitomi Masahiro , Sulman Erik P. , Lathia Justin D. 
Published: February 2019

AbstractCancer stem cells (CSCs) are a heterogeneous and dynamic self‐renewing population that stands at the top of tumor cellular hierarchy and contribute to tumor recurrence and therapeutic resistance. As methods of CSC isolation and functional interrogation advance, there is a need for a reliable and accessible quantitative approach to assess heterogeneity and state transition dynamics in CSCs. We developed a high‐throughput automated single cell imaging analysis (HASCIA) approach for the quantitative assessment of protein expression with single‐cell resolution and applied the method to investigate spatiotemporal factors that influence CSC state transition using glioblastoma (GBM) CSCs (GSCs) as a model system. We were able to validate the quantitative nature of this approach through comparison of the protein expression levels determined by HASCIA to those determined by immunoblotting. A virtue of HASCIA was exemplified by detection of a subpopulation of SOX2‐low cells, which expanded in fraction size during state transition. HASCIA also revealed that GSCs were committed to loose stem cell state at an earlier time point than the average SOX2 level decreased. Functional assessment of stem cell frequency in combination with the quantification of SOX2 expression by HASCIA defined a stable cutoff of SOX2 expression level for stem cell state. We also developed an approach to assess local cell density and found that denser monolayer areas possess higher average levels of SOX2, higher cell diversity, and a presence of a sub‐population of slowly proliferating SOX2‐low GSCs. HASCIA is an open source software that facilitates understanding the dynamics of heterogeneous cell population such as that of GSCs and their progeny. It is a powerful and easy‐to‐use image analysis and statistical analysis tool available at https://hascia.lerner.ccf.org. © 2019 International Society for Advancement of Cytometry