bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing growth in linguistic comprehension and reading comprehension in school‐aged children with autism versus typically developing children
Authors: Grimm Ryan P. , Solari Emily J. , McIntyre Nancy S. , Zajic Matthew , Mundy Peter C. 
Published: December 2017

Many children with autism spectrum disorders (ASD) struggle with reading comprehension. Linguistic comprehension is an important predictor of reading comprehension, especially as children progress through elementary school and later grades. Yet, there is a dearth of research examining longitudinal relations between linguistic comprehensions in school‐age children with ASD compared to typically‐developing peers (TD). This study compared the developmental trajectories of linguistic and reading comprehension in samples of children with ASD and age‐matched TD peers. Both groups were administered measures of linguistic and reading comprehension multiple times over a 30‐month period. Latent growth curve modeling demonstrated children with ASD performed at significantly lower levels on both measures at the first timepoint and these deficits persisted across time. Children with ASD exhibited growth in both skills comparable to their TD peers, but this was not sufficient to enable them to eventually achieve at a level similar to the TD group. Due to the wide age range of the sample, age was controlled and displayed significant effects. Findings suggest linguistic comprehension skills are related to reading comprehension in children with ASD, similar to TD peers. Further, intervention in linguistic comprehension skills for children with ASD should begin early and there may be a finite window in which these skills are malleable, in terms of improving reading comprehension skills. Autism Res 2018, 11: 624–635. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.Lay SummaryThere is relatively little research concerning reading comprehension development in children with ASD and how they compare to TD peers. This study found children with ASD began at lower achievement levels of linguistic comprehension and reading comprehension than TD peers, but the skills developed at a similar rate. Intervening early and raising initial levels of linguistic and reading comprehension may enable children with ASD to perform similarly to TD peers over time.
Mechanistic Aspects of Acrylic Acid Formation from CO2–Ethylene Coupling over Palladium‐ and Nickel‐based Catalysts
Authors: Li Yuanhui , Liu Zhen , Cheng Ruihua , Liu Boping 
Published: December 2017

AbstractThe detailed mechanism of catalytic conversion of CO2 and ethylene to acrylic acid has been investigated through DFT and DLPNO‐CCSD(T) calculations. Four bidentate ligands, dmpe (1,2‐bis(dimethylphosphino)ethane), dcpe (1,2‐bis(dicyclohexylphosphino)ethane), dtbpe (1,2‐bis(di‐tert‐butylphosphino)ethane), and tmeda (tetramethylethylenediamine) were systematically studied to understand the different catalytic behavior of the Pd‐based catalyst and the well‐known Ni‐based catalyst. The energy barrier of Pd‐/Ni‐catalyzed C−C coupling appears to increase with the larger steric hindrance of the ligand, whereas the barrier of the corresponding β‐H elimination shows an opposite tendency. The barrier for C−C coupling is likely higher than the associated barrier for β‐H elimination in both catalytic systems provided that the coordinated ligand is bulky enough. The palladium catalytic center is more effective than the nickel center for the C−C coupling and β‐H elimination steps in the presence of bulky ligands, whereas the nickel catalyst in turn performs better with small ligands. The palladium catalyst tends to be superior to the nickel catalyst during the following hydrogen transfer to the O atom. In general, the diamine ligand (tmeda) is less efficient than the diphosphine ligands for both systems. In the absence of the auxiliaries, a novel chelating carbene ligand was proposed to be quite efficient for Pd‐catalyzed C−C coupling. Two ligands (dcpm, dtbpm) showed relatively better performance towards the palladium‐catalyzed acrylic acid formation reaction among all the investigated ligands.
Peptide‐Driven Charge‐Transfer Organogels Built from Synergetic Hydrogen Bonding and Pyrene–Naphthalenediimide Donor–Acceptor Interactions
Authors: Bartocci Silvia , Berrocal José Augusto , Guarracino Paola , Grillaud Maxime , Franco Lorenzo , Mba Miriam 
Published: December 2017

AbstractThe peptide‐driven formation of charge transfer (CT) supramolecular gels featuring both directional hydrogen‐bonding and donor–acceptor (D‐A) complexation is reported. Our design consists of the coassembly of two dipeptide–chromophore conjugates, namely diphenylalanine (FF) dipeptide conveniently functionalized at the N‐terminus with either a pyrene (Py‐1, donor) or naphthalene diimide (NDI‐1, acceptor). UV/Vis spectroscopy confirmed the formation of CT complexes. FTIR and 1H NMR spectroscopy studies underlined the pivotal role of hydrogen bonding in the gelation process, and electronic paramagnetic resonance (EPR) measurements unraveled the advantage of preorganized CT supramolecular architectures for charge transport over solutions containing non‐coassembled D and A molecular systems.
Personal history of proliferative breast disease with atypia and risk of multifocal breast cancer
Authors: Nutter Ellen L. , Weiss Julia E. , Marotti Jonathan D. , Barth Richard J. , Eliassen M. Scottie , Goodrich Martha E. , Petersen Curtis L. , Onega Tracy 
Published: December 2017

BACKGROUNDA history of proliferative breast disease with atypia (PBDA) may be indicative of an increased risk not just of breast cancer but also of a more aggressive form of breast cancer.METHODSMultifocal breast cancer (MFBC), defined as 2 or more tumors in the same breast upon a diagnosis of cancer, is associated with a poorer prognosis than unifocal (single‐tumor) breast cancer. PBDA, including atypical ductal hyperplasia and atypical lobular hyperplasia, is a known risk factor for breast cancer. Using New Hampshire Mammography Network data collected for 3567 women diagnosed with incident breast cancer from 2004 to 2014, this study assessed the risk of MFBC associated with a previous diagnosis of PBDA.RESULTSWomen with a history of PBDA were found to be twice as likely to be subsequently diagnosed with MFBC as women with no history of benign breast disease (BBD; odds ratio [OR], 2.23; 95% confidence interval [CI], 1.08‐4.61). Ductal carcinoma in situ on initial biopsy was associated with a 2‐fold increased risk of MFBC in comparison with invasive cancer (OR, 2.13; 95% CI, 1.58‐2.88). BBD and proliferative BBD without atypia were not associated with MFBC.CONCLUSIONSWomen with a history of previous PBDA may be at increased risk for MFBC. Women with a history of PBDA may benefit from additional presurgical clinical workup. Cancer 2018;124:1350‐7. © 2017 American Cancer Society.
MapReduce‐based parallel GEP algorithm for efficient function mining in big data applications
Authors: Liu Yang , Ma Chenxiao , Xu Lixiong , Shen Xiaodong , Li Maozhen , Li Pengcheng 
Published: December 2017

SummaryGene expression programming (GEP) algorithm is one of the most effective function mining algorithms in enabling the mathematical equation fitting for the input dataset. However, GEP algorithm encounters low efficiency issue in big data processing due to large overhead in its evolution when it handles the large‐scale data. In order to solve the issue, this paper presents two parallelized GEP algorithms using MapReduce. Based on data separation, the first algorithm aims at speeding up the large‐scale classification. However, it is lack of ability to output the mined equation explicitly. Therefore, based on the further improvements of the first algorithm, the second parallelized GEP algorithm aims at mining the equation efficiently and also outputs the equation explicitly and directly. The experimental results show that both algorithms are effective for processing large volume of data.
ImageCL: Language and source‐to‐source compiler for performance portability, load balancing, and scalability prediction on heterogeneous systems
Authors: Falch Thomas L. , Elster Anne C. 
Published: December 2017

SummaryApplications written for heterogeneous CPU‐GPU systems often suffer from poor performance portability. Finding good work partitions can also be challenging as different devices are suited for different applications.This article describes ImageCL, a high‐level domain‐specific language and source‐to‐source compiler, targeting single system as well as distributed heterogeneous hardware. Initially targeting image processing algorithms, our framework now also handles general stencil‐based operations. It resembles OpenCL, but abstracts away performance optimization details which instead are handled by our source‐to‐source compiler. Machine learning‐based auto‐tuning is used to determine which optimizations to apply. For the distributed case, by measuring performance counters on a small input on one device, previously trained performance models are used to predict the throughput of the application on multiple different devices, making it possible to balance the load evenly. Models for the communication overhead are created in a similar fashion and used to predict the optimal number of nodes to use.ImageCL outperforms other state‐of‐the‐art solutions on image processing benchmarks in several cases, achieving speedups of up to 4.57×. On both CPUs and GPUs we are only 3% and 2% slower than an oracle for load balancing and scalability prediction, respectively, using synthetic benchmarks.
A portable class of 3‐transistor current references with low‐power sub‐0.5 V operation
Authors: Crupi Felice , De Rose Raffaele , Paliy Maksym , Lanuzza Marco , Perna Mattia , Iannaccone Giuseppe 
Published: December 2017

SummaryThis work proposes a new class of current references based on only 3 transistors that allows sub‐0.5 V operation. The circuit consists of a 2‐transistor block that generates a proportional‐to‐absolute‐temperature or a complementary‐to‐absolute‐temperature voltage and a load transistor. The idea of a 3T current reference is validated by circuit simulations for different complementary metal‐oxide‐semiconductor technologies and by experimental measurements on a large set of test chips fabricated with a commercial 0.18 μm complementary metal‐oxide‐semiconductor process. As compared to the state‐of‐art competitors, the 3T current reference exhibits competitive performance in terms of temperature coefficient (578 ppm/°C), line sensitivity (3.9%/V), and power consumption (213 nW) and presents a reduction by a factor of 2 to 3 in terms of minimum operating voltage (0.45 V) and an improvement of 1 to 2 orders of magnitude in terms of area occupation (750 μm2). In spite of the extremely reduced silicon area, the fabricated chips exhibit low‐process sensitivity (2.7%). A digital trimming solution to significantly reduce the process sensitivity is also presented and validated by simulations.
Multimodal approaches to functional connectivity in autism spectrum disorders: An integrative perspective
Authors: Mash Lisa E. , Reiter Maya A. , Linke Annika C. , Townsend Jeanne , Müller Ralph‐Axel 
Published: December 2017

ABSTRACTAtypical functional connectivity has been implicated in autism spectrum disorders (ASDs). However, the literature to date has been largely inconsistent, with mixed and conflicting reports of hypo‐ and hyper‐connectivity. These discrepancies are partly due to differences between various neuroimaging modalities. Functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and magnetoencephalography (MEG) measure distinct indices of functional connectivity (e.g., blood‐oxygenation level‐dependent [BOLD] signal vs. electrical activity). Furthermore, each method has unique benefits and disadvantages with respect to spatial and temporal resolution, vulnerability to specific artifacts, and practical implementation. Thus far, functional connectivity research on ASDs has remained almost exclusively unimodal; therefore, interpreting findings across modalities remains a challenge. Multimodal integration of fMRI, EEG, and MEG data is critical in resolving discrepancies in the literature, and working toward a unifying framework for interpreting past and future findings. This review aims to provide a theoretical foundation for future multimodal research on ASDs. First, we will discuss the merits and shortcomings of several popular theories in ASD functional connectivity research, using examples from the literature to date. Next, the neurophysiological relationships between imaging modalities, including their relationship with invasive neural recordings, will be reviewed. Finally, methodological approaches to multimodal data integration will be presented, and their future application to ASDs will be discussed. Analyses relating transient patterns of neural activity (“states”) are particularly promising. This strategy provides a comparable measure across modalities, captures complex spatiotemporal patterns, and is a natural extension of recent dynamic fMRI research in ASDs. © 2017 Wiley Periodicals, Inc. Develop Neurobiol 78: 456–473, 2018
Quantified reproductive isolation inHeliconiusbutterflies: Implications for introgression and hybrid speciation
Authors: Garzón‐Orduña Ivonne J. , Brower Andrew V. Z. 
Published: December 2017

AbstractHeliconiusbutterflies have become a model for the study of speciation with gene flow. For adaptive introgression to take place, there must be incomplete barriers to gene exchange that allow interspecific hybridization and multiple generations of backcrossing. The recent publication of estimates of individual components of reproductive isolation between several species of butterflies in theHeliconius melpomene–H. cydnoclade allowed us to calculate total reproductive isolation estimates for these species. According to these estimates, the butterflies are not as promiscuous as has been implied. Differences between species are maintained by intrinsic mechanisms, while reproductive isolation of geographical races within species is mainly due to allopatry. We discuss the implications of this strong isolation for basic aspects of the hybrid speciation with introgression hypothesis.
Detection of ROS Generated by UV‐C Irradiation of CdS Quantum Dots and their Effect on Damage to Chromosomal and Plasmid DNA
Authors: Blaškovičová Jana , Sochr Jozef , Koutsogiannis Anastasios , Diamantidou Dimitra , Kopel Pavel , Adam Vojtech , Labuda Ján 
Published: December 2017

AbstractDifferent sensitivity of various types of DNA to damage and mutation requires a study of effects of chemical and physical factors on integrity of individual DNA structures. Oxidation stress induced by photoactivated nanoparticles including quantum dots is considered to be the main mechanism of their potential risks. In this work, spectrophotometric indicators of reactive oxygen species (ROS) 4‐chloro‐7‐nitrobenzo‐2‐oxa‐1,3‐diazole (NBD−Cl) and α‐diphenyl‐β‐picrylhydrazyl (DPPH), electrochemical DNA‐based biosensors with the thiol‐capped CdS quantum dots (CdS QDs) immobilized over the chromosomal (ct DNA) and plasmid (pUC19) DNA biorecognition layers and agarose gel electrophoresis were used (i) to detect ROS generated at the UV‐C irradiation (λ=254 nm) of CdS QDs and (ii) to assess and evaluate their effect towards the chromosomal and plasmid dsDNA structure. Voltammetric and impedimetric measurements revealed a deep degradation of DNA attached to the glassy carbon electrode surface with a stepwise decrease of the portion of survived pUC19 and ct DNA after 60 s to 2400 s irradiation time up to 47 % and to 32 %, resp., comparing to the portion in the absence of CdS QDs reaching 58 % and 40 %, resp. Agarose gel electrophoresis supported the damage to plasmid and chromosomal DNA demonstrating double strand breaks. A decrease in the stability of DNA types towards degradation by ROS in order pUC19>calf thymus>salmon sperm dsDNA has been found.
Ionophore‐based Heterogeneous Calcium Optical Titration
Authors: Zhai Jingying , Zhu Changyou , Peng Xinlei , Xie Xiaojiang 
Published: December 2017

AbstractRecently, the field of complexometric titration significantly progressed with the advent of ionophore‐based titration reagents. We present here for the first time an ionophore‐based heterogeneous optical titration method for calcium. The all‐in‐one reagent was composed of chromoionophore, ion‐exchanger and calcium ionophore in dichloromethane (DCM). The endpoint of this reverse titration scheme was determined by the color change of the DCM phase (blue to red). The ion‐exchange theory borrowed from ISE membranes was used to simulate the titration curve in a simplified manner. The phase separation speed during titration was found much faster at and beyond the endpoint. A mechanism was proposed for this phenomenon, with zeta‐potential measurements on ion‐selective nanospheres to support the hypothesis. Calcium titration in a urine sample was also successfully demonstrated and compared with EDTA titration with potentiometric ion‐selective electrodes as endpoint indicator. The proposed reagent serves as an alternative to the classical EDTA.
Energy Harvesting using a Lead Zirconate Titanate (PZT) Thin Film on a Polymer Substrate
Authors: Dufay Thibault , Guiffard Benoit , Seveno Raynald , Thomas Jean‐Christophe 
Published: December 2017

AbstractA composite structure with an highly flexible polymer substrate and a thin film of lead zirconate titanate, Pb(Zr,Ti)O3 (PZT), is realized using an all‐chemical process. The fabrication of the structure comprises three steps: first, PZT is deposited on an aluminum thin foil, then the PZT thin film is bonded to a polymer, and, finally, aluminum foil is removed by selective chemical etching. Structural characterization techniques are used to ensure the quality of the PZT/polymer composite structure. Electrical measurements are also performed to confirm the ferroelectric characteristics of the composite. Finally, energy harvesting measurements are realized with interdigitated electrodes structure. A maximal energy density of 20 μJ cm−2 is obtained with manual mechanical excitation and an output voltage up to 35 V under free oscillations conditions in bending mode. This demonstrates that the recently developed PZT/polymer thin films are very promising for low‐frequency vibrating energy‐harvesting applications.
The relationships between brain structural changes and perceived loneliness in older adults suffering from late‐life depression
Authors: Sin Emily L.L. , Liu Ho‐Ling , Lee Shwu‐Hua , Huang Chih‐Mao , Wai Yau‐Yau , Chen Yao‐Liang , Chan Chetwyn C.H. , Lin Chemin , Lee Tatia M.C. 
Published: December 2017

ObjectiveLate‐life depression is a significant health risk factor for older adults, part of which is perceived loneliness. In this voxel‐based morphometry study, we examined the relationships between perceived loneliness and depression recurrence.MethodsFifty‐two older adults were recruited, and they were split into 3 groups: single episode, multiple episodes, or normal control groups, according to their clinical histories.ResultsThis result suggests the level of functioning regarding the reward system may be negatively related to the number of depressive episodes. Taken together, the findings of this study offer important insight into the neural underpinnings of the course and chronicity of late‐life depression.
Connectivity‐based parcellation of the nucleus accumbens into core and shell portions for stereotactic target localization and alterations in each NAc subdivision in mTLE patients
Authors: Zhao Xixi , Yang Ru , Wang Kewan , Zhang Zhongping , Wang Junling , Tan Xiangliang , Zhang Jiajun , Mei Yingjie , Chan Queenie , Xu Jun , Feng Qianjin , Xu Yikai 
Published: December 2017

AbstractThe nucleus accumbens (NAc), an important target of deep brain stimulation for some neuropsychiatric disorders, is thought to be involved in epileptogenesis, especially the shell portion. However, little is known about the exact parcellation within the NAc, and its structural abnormalities or connections alterations of each NAc subdivision in temporal lobe epilepsy (TLE) patients. Here, we used diffusion probabilistic tractography to subdivide the NAc into core and shell portions in individual TLE patients to guide stereotactic localization of NAc shell. The structural and connection abnormalities in each NAc subdivision in the groups were then estimated. We successfully segmented the NAc in 24 of 25 controls, 14 of 16 left TLE patients, and 14 of 18 right TLE patients. Both left and right TLE patients exhibited significantly decreased fractional anisotropy (FA) and increased radial diffusivity (RD) in the shell, while there was no significant alteration in the core. Moreover, relatively distinct structural connectivity of each NAc subdivision was demonstrated. More extensive connection abnormalities were detected in the NAc shell in TLE patients. Our results indicate that neuronal degeneration and damage caused by seizure mainly exists in NAc shell and provide anatomical evidence to support the role of NAc shell in epileptogenesis. Remarkably, those NAc shell tracts with increased connectivities in TLE patients were found decreased in FA, which indicates disruption of fiber integrity. This finding suggests the regeneration of aberrant connections, a compensatory and repair process ascribed to recurrent seizures that constitutes part of the characteristic changes in the epileptic network.
Thermal and isotopic evidence for surface and subsurface water contributions to baseflow in a high Arctic river
Authors: Bolduc Christopher , Lamoureux Scott F. , Franssen Jan 
Published: December 2017

AbstractSeven longitudinal water temperature tow surveys were conducted to attempt to identify the location of surface and subsurface river water exchanges along the length of the West River at the Cape Bounty Arctic Watershed Observatory, Melville Island, Nunavut, Canada (74°55′ N, 109°35′ W). Water temperature data were collected using a calibrated thermistor with an accuracy of ±0.002 °C (resolution <0.00005 °C) along the river during July 2014 in conjunction with stable water isotope sampling to support the thermal data and to determine the extent of surface water mixing from different sources such as precipitation, snowmelt, and surface/subsurface water contributions to the river. Atmospheric conditions were found to be the main contributor to seasonal temperature variance in the river, whereas tributary inflows and residual channel snow also had important thermal effects to river temperatures. Residual channel snow was a sustained source of cold water during much of the 2014 summer season (June–August) and substantially offset downstream warming. The longitudinal temperature profiles indicate notable changes to the thermal state of the river, which are interpreted to be indicative of subsurface and surface water exchange through inputs of relatively cold or warm water. Broadly, surface inflows were found to provide warmer water relative to the West River, and contributed to downstream warming of the river, along with downstream enrichment of δD and δ18O. Subsurface inflows provided cooler water relative to the river, and contributed to downstream depletion of δD and δ18O and downstream cooling of river temperatures. These results demonstrate that localized changes in river temperature, in conjunction with isotopic tracers, can be used to track channel–slope water interactions in Arctic hydrological systems, work previously limited to alpine and temperate settings.