bluuebunny/crossref_metadata_2025_split huggingface dataset:
Treatment for School-Age Children Who Stutter: A Systematic Review of Japanese Literature
Authors: Iimura Daichi , Kakuta Kohei , Oe Takuya , Kobayashi Hiroaki , Sakai Naomi , Miyamoto Shoko 
Published: February 2022

Purpose:
This systematic review identified and synthesized published research articles, written in Japanese, on the clinical effectiveness of a broad range of nonpharmacological interventions for school-age children who stutter.

Method:
A systematic review of Japanese literature published between January 1, 1980, and July 7, 2020, reporting interventions for school-age children who stutter, was carried out through a search of two databases (CiNii Article database and Japan Medical Abstract Society database) using the key words “stuttering” and “school-age” or “child” or “primary school students” or “children” or “school child” in Japanese. To be included in the review, the articles must report studies where data were subjectively reported by clinicians, where school-age participants were treated for developmental stuttering, where participants received interventions conducted by clinicians, and where quantitative outcomes (pre- and/or posttreatment) were measured; and they must be published in Japanese.

Results:
Forty articles met all the inclusion criteria. Most articles adopted a case series or single-case study design. A total of 179 intervention programs were identified from all the articles and broadly classified into speech therapy, psychological therapy, interventions for modifying the child's environment, and others.

Conclusions:
Our systematic review provided a broad overview of the treatments used for school-age children who stutter in Japan. Future research should focus on gathering more reliable, systematic, and rigorous evidence to establish the effectiveness of stuttering treatments for school-age children and thereby develop evidence-based practices.
Adaptive backstepping controller design on Buck converter with a novel improved identification method
Authors: Saadat Seyyed Amirhossein , Ghamari Seyyed Morteza , Mollaee Hasan 
Published: February 2022

AbstractAn adaptive backstepping method is presented by this paper for a DC–DC Buck converter utilising a strategy for system identification with pulse width modulation in the presence of parametric uncertainties, load variations, and high variance noises. In this control structure, the system is assumed as a black‐box block that can decrease the computational burden providing faster dynamics. An adaptive mechanism is adopted for the BSM using the Lyapunov definition, providing robust dynamics for the controller against various disturbances. In addition, a novel improved exponential recursive least‐squares identification algorithm is proposed, which shows higher robustness in parametric estimations and can decrease the negative impact of disrupting factors on the estimator. Moreover, a particle swarm optimisation algorithm‐based PID controller is designed to be compared with the proposed controller. Finally, the merits of the presented controller are validated for various working conditions through simulations and experiments. It can be seen that the adaptive backstepping method with the improved identification technique provides much better results with faster dynamics.
Thermal shock resistance enhancement by improved interfacial bonding for carbon/aluminium composites
Authors: Wei Wenfu , Huang Zhanglin , Yin Guofeng , Yang Zefeng , Li Xiaobo , Zuo Haozi , Deng Qin , Huang Guizao , Ren Junwen , Liao Qianhua , Yang Yan , Wu Guangning 
Published: February 2022

AbstractCarbon/aluminium (C/Al) composites have the advantages of low density and high electrical conductivity, which have potential applications in aerospace, rail transportation and other fields. However, the unstable bonding of the C/Al interface and significant thermal expansion differences have resulted in risks of the composites' failure once suffering from severe thermal shock. In this work, the C/Al composites were prepared by the pressure impregnation method, and silicon (Si) was added to overcome the problems of C/Al non‐wettability and thermal expansion differences. The effects of mass fractions of doped silicon on the mechanical properties, electrical conductivity and thermal shock resistance of C/Al composites were also examined. Results show that the formed SiC interlayer has effectively enhanced the interfacial bonding and reduced the differences in the thermal expansion coefficient of each component. As a result, the thermal shock resistance of the composites has been remarkably improved, and the flexural strength could remain 90% of the original level after the thermal shock test, compared with 50% of that without Si doping.
Selective memory retrieval can revive forgotten memories
Authors: Bäuml Karl-Heinz T. , Trißl Lukas 
Published: February 2022

Significance
Recall of encoded information gets impaired as time passes. We show that selective retrieval can interrupt such time-dependent forgetting. Selective retrieval of some studied information can revive the nonretrieved information and bring recall levels back to the levels shortly after study. Strikingly, we found that time-dependent forgetting after selective retrieval mimics time-dependent forgetting after study, which implies that the revival of the forgotten memories is lasting and caused by a reset of the recall process. In the real world, retrieval of encoded episodes is often selective and is often time-lagged, like in educational settings or in eyewitness testimony situations. Our findings suggest that selective retrieval can improve people’s memory in such situations.
Temperature protocols to guide selective self-assembly of competing structures
Authors: Bupathy Arunkumar , Frenkel Daan , Sastry Srikanth 
Published: February 2022

Significance
Designing functional materials with switchable properties is a highly sought-after goal in materials science. We investigate the computational design of a multicomponent self-assembly system that can be guided into forming one of two predefined competing structures through simple temperature protocols. Our investigation reveals design constraints that should be observed in order to avoid formation of spurious or chimeric aggregates and to maximize selectivity of the target structure. We demonstrate that temperature protocols can be designed that lead to the formation of either one of the target structures with high selectivity. We discuss the important role played by secondary aggregation products, which we term “vestigial aggregates.”
The use of the intensifierbienamong bilinguals in Southern Arizona Spanish and its grammaticalization process
Authors: Flórez Carmen Fernández 
Published: February 2022

AbstractThis variationist study examines the contexts of appearance of the Spanish intensifiersmuy(very) andbien(very) in the bilingual community of Tucson, Arizona. Although some descriptive work has been published on these intensifiers (Serradilla Castaño, 2006), little quantitative research has been conducted with the exceptions of studies byBrown and Cortés-Torres (2013)andKanwit, Terán, and Pisabarro Sarrió (2017). Based on a formal, syntactical analysis of the intensifiers, the present study adds to this research (Pastor and Armstrong, 2016) by establishing possible new conditioning factors such as emphasis and reiteration for the selection of one variant over the other. An analysis of 1,385 tokens in 43 interviews shows an overall use ofmuyof 81%, a figure that is comparable to the results reported in most previous studies. Verb type, emphasis, and reiteration prove significant in determining which variant is used. A discussion of these results provides a more in-depth description of the characteristics of these intensifiers in the focal bilingual community and offers a position on the debate over whetherbienhas come to the end of its grammaticalization process or continues to hold a positive value from its past as a modal adverb.
From syntax to morphology
Authors: Wang Yong 
Published: February 2022

AbstractNoun-incorporation is a process of word-formation in which a nominal constituent is added to a verbal root, with the resulting construction being both a verb and a single word. The incorporated element may be the object of the verbal element; it may also denote agent, instrument, location, etc. Once incorporated the nominal constituent figures less prominently. The meaning of the resulting new word is more than the sum of its two constituents. This is themost nearly syntacticof all morphological processes that has morphological, semantic, syntactic, and discourse consequences (Mithun 1984: 847). By reference to relevant typological studies, this article describes the morphological, syntactic, and semantic features of noun-incorporation in Chinese within the framework of Systemic Functional Linguistics. It is found that the new verb may be intransitive or transitive and the two elements may occur continuously or discontinuously and they may swap their positions. This process may shed light on the complementary and continuous relation between lexis and grammar and the ergative nature of Chinese.
Possessive inflection in Chichimec inalienable nouns
Authors: Herce Borja 
Published: February 2022

Abstract
Person and number of a possessor are expressed in Chichimec in one of two ways. Most nouns use possessive classifiers. A smaller class (typically inalienables) inflects for the possessor synthetically. This paper constitutes the first in-depth exploration of this latter class. These nouns are characterized by unparalleled levels of irregularity, with more than 100 different inflection classes and most nouns exhibiting completely unique exponence patterns. The morphology of these nouns is based on several orthogonal inflectional layers: prefixes, stem alternations, and tone, all of which exhibit only weak predictive relations to other subsystems or cells, and equally unpredictable mappings to the possessor values they instantiate. The system is also extremely challenging with respect to segmentation, as most of the segments within the word can change in inflection seemingly independently of the neighbouring ones. This paper surveys this baroque system in search of its organizational principles.
The impact of radial electric fields and plasma rotation on intermittence in TJ-II
Authors: van Milligen B Ph , Carreras B A , García L , Grenfell G , Voldiner I , Hidalgo C 
Published: February 2022

Abstract
This work explores the impact of an imposed radial electric field on the intermittence parameter in magnetically confined plasmas. The intermittence is sensitive to both the magnetic configuration (dominant helical modes or low order rational surfaces) and to poloidal flows or radial electric fields. This behaviour was verified both in numerical turbulence calculations using a resistive magnetohydrodynamic model, and using Langmuir probe data obtained in experiments at the TJ-II stellarator. It is shown that the intermittence parameter can be used to detect when the local plasma rotation velocity, with respect to the laboratory frame of reference, is minimum.
Predicting basin stability of power grids using graph neural networks
Authors: Nauck Christian , Lindner Michael , Schürholt Konstantin , Zhang Haoming , Schultz Paul , Kurths Jürgen , Isenhardt Ingrid , Hellmann Frank 
Published: February 2022

Abstract
The prediction of dynamical stability of power grids becomes more important and challenging with increasing shares of renewable energy sources due to their decentralized structure, reduced inertia and volatility. We investigate the feasibility of applying graph neural networks (GNN) to predict dynamic stability of synchronisation in complex power grids using the single-node basin stability (SNBS) as a measure. To do so, we generate two synthetic datasets for grids with 20 and 100 nodes respectively and estimate SNBS using Monte-Carlo sampling. Those datasets are used to train and evaluate the performance of eight different GNN-models. All models use the full graph without simplifications as input and predict SNBS in a nodal-regression-setup. We show that SNBS can be predicted in general and the performance significantly changes using different GNN-models. Furthermore, we observe interesting transfer capabilities of our approach: GNN-models trained on smaller grids can directly be applied on larger grids without the need of retraining.
Experimentally evaluating plasmonic sensing performance of silver film over nanosphere surface (AgFON)
Authors: Venkatesh A , Srinivasulu Maddasani , Moorthy V H S 
Published: February 2022

Abstract
In the present work, Silver film over nanosphere surface (AgFON) structures were fabricated on a self-assembled monolayer (SAM) of polystyrene spheres (200 nm) by a simple and cost effective drop-casting followed by thermal evaporation techniques. The thickness of Ag thin film was varied from 20 nm to 100 nm in a step of 20 nm. Field emission scanning electron microscopy (FESEM) revealed that the morphology of AgFON changes from nano island to nanoshells with increasing thickness. Reflection spectra of AgFON of thickness >60 nm exhibited a sharp minimum due to the excitation of cavity mode plasmon. Plasmonic sensing capabilities of AgFON have been investigated with respect its thickness. AgFON of 100 nm exhibited a bulk sensitivity of 632.54 nm/RIU while 80 nm showed a sensitivity of 365 nm/RIU towards a thin layer of volatile organic compounds such as ethanol, toluene and isopropyl alcohol. Biological molecules such as urea, creatinine, glucose, melamine and glutathione have been tested with the AgFON. The AgFON displays a good capability of detecting 1 mM creatinine in an aqueous solution. A successful attempt has been made to detect the creatinine of >1 mM in human urine.
Positive and negative triangularity in RFX-mod2: a comparative analysis
Authors: Predebon I. , Abate D. , Pigatto L. 
Published: February 2022

Abstract
We present a comparative analysis of practically achievable positive and negative triangularity configurations in the next RFX-mod2 tokamak campaign. The designed single-null positive triangularity plasmas—based on analogous, formerly realized scenarios in RFX-mod—are mirrored, keeping most of the other parameters fixed. In this procedure, we show how some local and global geometric properties of the plasma are modified, and how these properties reflect on changes in vertical stability, low-n ideal stability and electrostatic turbulence level.
Charge and temporal characterisation of silicon sensors using a two-photon absorption laser
Authors: Geertsema R. , Akiba K. , van Beuzekom M. , Bischoff T. , Heijhoff K. , Snoek H. 
Published: February 2022

Abstract
First measurements are presented from a newly commissioned
two-photon absorption (TPA) setup at Nikhef. The characterisation of
the various components of the system is discussed. Two planar
silicon sensors, one being electron collecting and one hole
collecting, are characterised with detailed measurements of the
charge collection and time resolution. The TPA spot is determined to
have a radius of 0.975(11) μm and length of 23 μm in
silicon. The trigger time resolution of the system is shown to be
maximally 30.4 ps. For both sensors, uniform charge collection is
observed over the pixels, and the pixel side metallisation is imaged
directly using the TPA technique. The best time resolution for a
single pixel is found to be 600 ps and 560 ps for the electron and
hole collecting sensors respectively, and is dominated by ASIC
contributions. Further scans at different depths in the sensor and
positions within the pixels have been performed and show a uniform
response. It is concluded that the TPA setup is a powerful tool to
investigate the charge collection and temporal properties of silicon
sensors.
Electron transport in discontinuous metal thin films
Authors: Morris James E 
Published: February 2022

Abstract
The structure and basic experimental electrical properties of vacuum evaporated discontinuous (island) metal thin films of discrete metal nanoparticles on insulating substrates are briefly reviewed. Then the widely accepted Neugebauer and Webb (N&W) electrostatically activated electron tunneling conduction model is covered (with enhancements) before the numerous discrepancies between this model and experimental observations are identified, e.g. minimal substrate bias effect, non-linear field distribution, anomalous AC effects, asymmetrical contact effects, and switching. A modified model, based on contact electron injection and extraction, and computer simulations are introduced which explain these discrepancies at a qualitative level. However, quantitative experimental verification of the model is not possible without stable, reproducible films of known structures. The paper concludes with a review of possible preparation techniques which could yield satisfactory samples, especially self-assembly of organically protected metal nanoparticles. One of these has already demonstrated electrostatically activated conduction.
An inductive graph neural network model for compound–protein interaction prediction based on a homogeneous graph
Authors: Wan Xiaozhe , Wu Xiaolong , Wang Dingyan , Tan Xiaoqin , Liu Xiaohong , Fu Zunyun , Jiang Hualiang , Zheng Mingyue , Li Xutong 
Published: February 2022

Abstract
Identifying the potential compound–protein interactions (CPIs) plays an essential role in drug development. The computational approaches for CPI prediction can reduce time and costs of experimental methods and have benefited from the continuously improved graph representation learning. However, most of the network-based methods use heterogeneous graphs, which is challenging due to their complex structures and heterogeneous attributes. Therefore, in this work, we transformed the compound–protein heterogeneous graph to a homogeneous graph by integrating the ligand-based protein representations and overall similarity associations. We then proposed an Inductive Graph AggrEgator-based framework, named CPI-IGAE, for CPI prediction. CPI-IGAE learns the low-dimensional representations of compounds and proteins from the homogeneous graph in an end-to-end manner. The results show that CPI-IGAE performs better than some state-of-the-art methods. Further ablation study and visualization of embeddings reveal the advantages of the model architecture and its role in feature extraction, and some of the top ranked CPIs by CPI-IGAE have been validated by a review of recent literature. The data and source codes are available at https://github.com/wanxiaozhe/CPI-IGAE.
Vital dataveillance: investigating data in exchange for vitality through South Korea’s COVID-19 technogovernance
Authors: Lee Jeehyun Jenny 
Published: February 2022

AbstractThrough a case study of South Korea's tracking infrastructure, this study critically examines new surveillance technologies deployed during the COVID-19 pandemic. I consider the ways that these technologies were widely framed as beneficial and benign, contributing to their widespread acceptance, and normalizing their pervasive and intrusive tracking capacities. By employing cluster criticism analysis of the Korean health authorities' official reports, I argue that Korean health authorities discursively construct their ICT-based tracking infrastructure as democratic technologies of control. They also position Korean citizens as data subjects entitled to the right to know about vitality and caring subjects responsible for the vitality of others through their provision of data, an exchange which this paper terms as vital dataveillance. Through the concept of vital dataveillance, this study illuminates the new types of data governance and data rights of the pandemic.
Neural dynamics driving audio-visual integration in autism
Authors: Ronconi Luca , Vitale Andrea , Federici Alessandra , Mazzoni Noemi , Battaglini Luca , Molteni Massimo , Casartelli Luca 
Published: February 2022

Abstract
Audio-visual (AV) integration plays a crucial role in supporting social functions and communication in autism spectrum disorder (ASD). However, behavioral findings remain mixed and, importantly, little is known about the underlying neurophysiological bases. Studies in neurotypical adults indicate that oscillatory brain activity in different frequencies subserves AV integration, pointing to a central role of (i) individual alpha frequency (IAF), which would determine the width of the cross-modal binding window; (ii) pre-/peri-stimulus theta oscillations, which would reflect the expectation of AV co-occurrence; (iii) post-stimulus oscillatory phase reset, which would temporally align the different unisensory signals. Here, we investigate the neural correlates of AV integration in children with ASD and typically developing (TD) peers, measuring electroencephalography during resting state and in an AV integration paradigm. As for neurotypical adults, AV integration dynamics in TD children could be predicted by the IAF measured at rest and by a modulation of anticipatory theta oscillations at single-trial level. Conversely, in ASD participants, AV integration/segregation was driven exclusively by the neural processing of the auditory stimulus and the consequent auditory-induced phase reset in visual regions, suggesting that a disproportionate elaboration of the auditory input could be the main factor characterizing atypical AV integration in autism.
Neural processes responsible for the translation of sustained nociceptive inputs into subjective pain experience
Authors: Wang Hailu , Guo Yifei , Tu Yiheng , Peng Weiwei , Lu Xuejing , Bi Yanzhi , Iannetti Gian Domenico , Hu Li 
Published: February 2022

AbstractTracking and predicting the temporal structure of nociceptive inputs is crucial to promote survival, as proper and immediate reactions are necessary to avoid actual or potential bodily injury. Neural activities elicited by nociceptive stimuli with different temporal structures have been described, but the neural processes responsible for translating nociception into pain perception are not fully elucidated. To tap into this issue, we recorded electroencephalographic signals from 48 healthy participants receiving thermo-nociceptive stimuli with 3 different durations and 2 different intensities. We observed that pain perception and several brain responses are modulated by stimulus duration and intensity. Crucially, we identified 2 sustained brain responses that were related to the emergence of painful percepts: a low-frequency component (LFC, &lt; 1 Hz) originated from the insula and anterior cingulate cortex, and an alpha-band event-related desynchronization (α-ERD, 8–13 Hz) generated from the sensorimotor cortex. These 2 sustained brain responses were highly coupled, with the α-oscillation amplitude that fluctuated with the LFC phase. Furthermore, the translation of stimulus duration into pain perception was serially mediated by α-ERD and LFC. The present study reveals how brain responses elicited by nociceptive stimulation reflect the complex processes occurring during the translation of nociceptive information into pain perception.