bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spoken Communicative Intents Among 3- to 4.5-Year-Old French-Speaking Children: Procedure and Data From the Early Longitudinal Language and Neglect Study
Authors: Sylvestre Audette , Di Sante Mélissa , Leblond Jean 
Published: January 2023

Purpose:
This study aimed to (a) provide speech-language pathologists and researchers with a play-based procedure to measure the expression of spoken communicative intents by children aged 3 to 4.5 years and (b) present indicators of these children's capacity to produce these intents in this context.

Method:

A method inspired by TRIAGE (Technique de Recherche d'Informations par Animation d'un Group d'Experts) allowed an advisory group of 16 speech-language pathologists to select and agree on definitions of intents to include in this procedure, among a set of 13 preselected intents based on the scientific literature. A longitudinal design including four measuring times was used to verify the production of these intents by 99 French-speaking children (46 boys;
M
age
= 36.09 months) at 36, 42, 48, and 54 months using the Neighborhood Game, a previously developed elicitation procedure of communicative intents conducted within the context of symbolic play. For each measurement time, the average percentage of children who had produced each intent at least 3 times was calculated with a 95% confidence interval. Nonparametric analysis of variance for longitudinal data was carried out to verify progression with age.

Results:
A finalized list of eight communicative intents was selected along with their definition and a standardized script to elicit them during symbolic play. The production frequency of most intents showed significant progression between the first and the fourth measurement time. Arguing is the only intent that is still not produced by more than 90% of children at the age of 54 months.

Conclusions:
This study led to the development of an assessment procedure, which presents ecological validity and elicits the expression of eight communicative intents among 3- to 4.5-year-olds. This procedure can support the work of speech-language pathologists and researchers. The accompanying indicators of children's capacity to produce these intents at a given age in this kind of context are a notable addition to the knowledge on typical language development.

Supplemental Material:

https://doi.org/10.23641/asha.21844206
Prolonged Processing Time for Manual and Vocal Responses in Parkinson Disease: A Psychological Refractory Period Paradigm Study
Authors: Reif Angela E. , Summers Dale K. , A. Whitfield Jason , Goberman Alexander M. 
Published: January 2023

Purpose:
The purpose of this study was to examine a potential increased cognitive processing bottleneck within Parkinson disease (PD) by extending a previous overlapping task methodology. Additionally, this study extends previous overlapping task methodology in PD to examine the influence of modality (vocal vs. manual) on response delays in overlapping tasks in PD.

Method:
This study used the psychological refractory period (PRP) paradigm (overlapping-task paradigm) to study processing limitations as participants complete two tasks that increasingly overlap in time. Three levels of temporal overlap of tasks were utilized to vary cognitive demands on manual and vocal response time tasks. Ten participants with PD (PwPD) and 12 participants without PD were included in this study.

Results:
Participants with PD demonstrated response time delays across temporal overlap conditions (likely indicating motor deficits) along with a larger increase in response delays in the most overlapped, cognitively taxing condition (likely indicating longer central processing bottleneck). Additionally, modality did not influence response times differently in overlapping task conditions or within participant groups.

Conclusion:
An extension of previous overlapping task methodologies within a complex task was successful in demonstrating an increased central processing deficit across manual and vocal response delays in PD, regardless of modality of response.
Influence of slot/pole number combinations and pole shaping on electromagnetic performance of permanent magnet machines with unbalanced north and south poles
Authors: Qi Ji , Zhu Zi‐Qiang , Jewell Geraint Wyn , Yan Luocheng , Gan Chengwei , Ren Yuan , Brockway Simon , Hilton Chris 
Published: January 2023

AbstractThe influences of slot/pole number combinations on electromagnetic performances, including flux linkage, inductance, and torque ripple harmonic components etc., resulting from unbalanced characteristics between north and south poles in concentrated winding permanent magnet (PM) machines with symmetrical and asymmetric rotor pole shaping methods are theoretically analysed and experimentally validated in this paper. It shows that for the PM machines with odd number of coils per phase per submachine, including consequent pole (CP) and surface‐mounted PM (SPM) machines, the influences of unbalanced pole characteristics can lead to additional torque ripple harmonics due to additive effects in windings, but can be cancelled in other machines. Compared with symmetrical pole shaping method, asymmetric pole shaping method can result in lower torque ripple for CPPM machines with odd number of coils per phase per submachine, while symmetrical and asymmetric pole shapes have similar effects on torque ripple reduction for other CPPM machines and all the SPM machines. The findings have been validated by finite element analyses on 12‐slot/8‐pole, 12‐slot/10‐pole, 9‐slot/6‐pole, and 12‐slot/14‐pole machines, and by experiments with 12‐slot/8‐pole and 12‐slot/10‐pole CPPM prototypes.
Incentive‐based demand response program with self‐reported baseline supported by blockchain technology
Authors: Li Bin , Banimenia Izzeddin , Chuan Liu , Zhansheng Hou , Zhao Jianli 
Published: January 2023

AbstractThis research presents a decentralised incentive‐based demand response (DR) program using blockchain technology. Consumers self‐report baseline to the system operator (SO), the smart contract confirms the validity of the data to execute transactions and finally the validators record the information on the blockchain network. During the DR event, a set of consumers are randomly selected to deliver the required load reduction. The signalled consumer who delivers the load reduction is rewarded, and the non‐called consumers who diverge from their reported baseline are penalised. The randomness of choosing the consumers and penalty function restrict the baseline inflation. Here, we create a blockchain network and deploy a smart contract on the Ethereum build platform. A DR event scenario is adopted with residential houses data sets, all consumers report their baseline information to the SO through the Internet and smart meter. The SO calls four users to deliver the essential load reduction according to the probability of choosing a consumer. The smart contract verifies the received information to start transaction execution. We use proof of authority mechanism to select validation nodes from the participants using voting system. They validate each block before adding it to the blockchain. Last, the monetary transactions settle in participants' wallets. Our results confirm that decentralised systems like blockchain can significantly improve transparency, openness, and customer participation in the DR program. Also contributes to the security and privacy of user information with a minimal investment in new infrastructure.
L’intelligence interculturelle
Authors: Durieux Christine 
Published: January 2023

Résumé
Dans le cadre de l’étude des interactions entre l’intelligence artificielle et l’intelligence interculturelle, une
première observation s’impose : dans le rapprochement de ces deux dénominations, le terme ‘intelligence’ ne renvoie pas au même
référent. Si l’intelligence artificielle se positionne dans le prolongement, voire en miroir, de l’intelligence humaine,
l’intelligence interculturelle s’inscrit dans un tout autre paradigme, agglomérant les concepts d’intelligence collective,
d’intelligence culturelle et d’intelligence économique.
Une étude diachronique ayant pour objet de tracer l’évolution des différentes acceptions du terme ‘intelligence’
conduit à mettre en évidence son extension sémantique. Cette analyse permet ensuite de fonder une définition de ce qu’est
l’intelligence interculturelle dans sa dimension pragmatique.
Vers l’intelligence (inter)culturelle dans la traduction et l’interprétation
Authors: Tran Le Bao Chan 
Published: January 2023

Résumé
Le présent article vise à rendre compte d’une étude ergonomique des pratiques professionnelles en traduction
technique et en interprétation de conférence. Il s’agit d’une étude que nous avons menée durant douze mois auprès de six
traducteurs professionnels, trois interprètes de conférence franco-vietnamiens, une entreprise de traduction technique en les
suivant dans leurs missions authentiques. Les résultats révèlent que le professionnalisme de la traduction et de l’interprétation
se construit à travers les différentes démarches de réflexivité du traducteur/interprète. Dans la première
partie, nous présenterons le cadre théorique, le contexte et la méthodologie constituant notre recherche ainsi que les résultats
obtenus ; nous étudierons dans la deuxième partie les concepts de « réflexivité linguistique » et « hospitalité langagière » dans
les pratiques traductives et interprétatives de nos enquêtés en analysant en quoi ces capacités réflexives constituent de
l’intelligence interculturelle dans l’acte de traduire ; nous aborderons dans la troisième partie nos réflexions quant à la
réflexivité professionnelle des traducteurs et interprètes en analysant comment cette démarche réflexive contribue à former
l’éthos et la professionnalité des traducteurs et interprètes.
Intelligence interculturelle et technologies numériques
Authors: Cohen Joëlle 
Published: January 2023

Résumé
Nous interrogeons les liens reliant la technologie, la cognition et la culture. La technique engendre des
artefacts. Ils ne deviennent instruments qu’à la condition qu’un sujet projette sur eux des schèmes d’utilisation. L’espace
numérique relève ainsi d’un construit culturellement situé et partagé par des concepteurs et des utilisateurs. Nous relevons
quelques unes des « dimensions cachées » des marqueurs graphico-structurels dans la conception des interfaces numériques. Ces
marqueurs racontent toujours une histoire ; celle d’une société avec ses valeurs, ses croyances et ses univers de sens. Nous
rappelons comment nos étudiants sont incités à décoder ces marqueurs en comparant, pour un domaine d’activité donné, des
interfaces créées dans des aires culturelles distinctes.
La dimension morale des intelligences artificielles au sein de la traductologie
Authors: Hleihel Rhéa 
Published: January 2023

Résumé
Tout acte ou entreprise comportent en soi une dimension morale. Le présent article appelle à l’inclusion des
traducteurs présentant des handicaps visuels et auditifs dans la conception des logiciels de traduction assistée qui répondent à
leurs besoins spécifiques. Élaborant le cadre théorique aboutissant à ce raisonnement, l’article examine l’étendue morale des
intelligences artificielles qui gouvernent les progrès technologiques en matière de traduction assistée, et la confronte à la
notion de l’empathie. La finalité est l’établissement d’un lien entre la traductologie morale et les technologies de la
traduction.
315 W, 1.94 μm, Tm:YAP InnoSlab laser
Authors: Mao Y F , Long Q L , Gao J M , Wang Q C , Gao Y , Wang L 
Published: January 2023

Abstract
In this letter, a high power, continuous-wave Tm:YAP InnoSlab laser has been developed. It produces 315 W of laser output power with an emission wavelength of 1.94 μm. The optical-to-optical efficiency and slope efficiency with respect to the absorbed pump power are 53.4% and 63.8%, respectively. At the output power of 300 W, the beam quality factors M
2 are 201 in the x-direction and 3 in the y-direction, respectively. The beam shape is rectangular, thus it is ideal for pumping a Ho:YLF laser crystal in InnoSlab design for oscillator and amplifier.
40 W high beam quality Tm:YLF InnoSlab amplifier
Authors: Gao Jimeng , Long Qunlong , Wang Lei , Mao Yefei , Xu Zhaopeng 
Published: January 2023

Abstract
We demonstrated a compact and excellent beam quality Tm:YLF InnoSlab amplifier at 1908 nm for the first time. The power of the seed laser was 10 W with beam quality factors of M
2 ⩽ 1.04. With the high-efficiency coupling of the pump light and the seed laser, the amplified power of 40.1 W was achieved under the pump power of 318.7 W without ASE. The beam quality factors M
2 were 1.07 and 1.37 in the vertical and horizontal directions, respectively. The RMS instability was measured to be less than 0.15% in 30 min. Meantime, we had established a general and simplified CW Tm:YLF laser amplifier model.
Artificial intelligence techniques for retinal prostheses: a comprehensive review and future direction
Authors: Wang Chuanqing , Fang Chaoming , Zou Yong , Yang Jie , Sawan Mohamad 
Published: January 2023

Abstract

Objective. Retinal prostheses are promising devices to restore vision for patients with severe age-related macular degeneration or retinitis pigmentosa disease. The visual processing mechanism embodied in retinal prostheses play an important role in the restoration effect. Its performance depends on our understanding of the retina’s working mechanism and the evolvement of computer vision models. Recently, remarkable progress has been made in the field of processing algorithm for retinal prostheses where the new discovery of the retina’s working principle and state-of-the-arts computer vision models are combined together. Approach. We investigated the related research on artificial intelligence techniques for retinal prostheses. The processing algorithm in these studies could be attributed to three types: computer vision-related methods, biophysical models, and deep learning models. Main results. In this review, we first illustrate the structure and function of the normal and degenerated retina, then demonstrate the vision rehabilitation mechanism of three representative retinal prostheses. It is necessary to summarize the computational frameworks abstracted from the normal retina. In addition, the development and feature of three types of different processing algorithms are summarized. Finally, we analyze the bottleneck in existing algorithms and propose our prospect about the future directions to improve the restoration effect. Significance. This review systematically summarizes existing processing models for predicting the response of the retina to external stimuli. What’s more, the suggestions for future direction may inspire researchers in this field to design better algorithms for retinal prostheses.
Acceptability of strategy promotes cooperation in a spatial prisoner’s dilemma game
Authors: Su Ran , Qian Jia-Li , Hao Qing-Yi , Wu Chao-Yun , Guo Ning , Ling Xiang 
Published: January 2023

Abstract
The emotions of individuals are one of the most important factors for affecting cooperation in human society. An individual’s acceptability of her/his own strategy, as one kind of powerful emotion that can be influenced by the neighbors’ strategies, can prompt the individual to adjust her/his strategy in the evolution process of a spatial game. Based on this fact, a spatial prisoner’s dilemma game with acceptability involved is studied in this paper. The average acceptability in the community is introduced to the individual’s fitness in the model. The numerical experiments show that individuals considering average acceptability can greatly facilitate cooperation under certain conditions. Furthermore, when the temptation value is small, rational individuals to blind conformity behavior can promote cooperative behavior, but for a high temptation value, rational individuals are not conducive to cooperation. These results may offer insights to comprehensively understand the mechanism of emotion promoting cooperation.
Degradation of signal-to-noise ratio in counting detectors due to pile-up effects
Authors: Magalhaes D. , Fajardo P. 
Published: January 2023

Abstract
This work proposes a methodology to quantify how the non-linearity of counting detectors due to pulse pile-up effects impacts detrimentally the signal-to-noise ratio of measurements and the resulting DQE. The method is presented from a conceptual point of view, justified and validated by both analytical and Monte Carlo methods applied to the ideal theoretical pile-up models usually discussed in the literature. Although the motivation of this work is the application to photon counting X-ray detectors, the study may be relevant for other type of particle or radiation detection systems operating at high count rate regimes, when pile-up is not negligible. The high count rates can be managed in actual experiments by implementing pile-up compensation methods in the detector readout chain, by applying correction algorithms to the measured data or by a combination of both. What has been less discussed in literature is the impact of those pile-up compensation techniques on the final statistical properties of the resulting data, and the proposed method can be potentially used for that purpose. The application of the method to more realistic systems is illustrated with an example of a simulated 2D X-ray photon counting detector that includes all the primary physical effects and the full readout chain.
Microstructure and mechanical properties of extruded TiB2/2024 aluminum matrix composites
Authors: Hua Guangxin , Ran Linghao , Zhang Shuaibo , Su Yong 
Published: January 2023

Abstract
TiB2/2024 aluminum matrix composites were prepared in situ from the Al–K2TiF6–KBF4 reaction system; then, we investigated the microstructure and mechanical properties of the composites in the as-cast and extruded states. X-ray diffraction (XRD) and scanning electronic microscope (SEM) analyses showed that TiB2 particles were successfully produced in the matrix by the in situ reactions. The optimal content of TiB2 particles in the composites was 3 wt%; moreover, the size of α-Al grains in the microstructure of the composites with 3 wt% content was the smallest among the composites reinforced with different content of TiB2 particles, and the TiB2 particles showed a uniform distribution. The tensile strength and elongation of the composites (246 MPa and 9.8%, respectively) were 21.8% and 18.1% higher compared with those of the alloy matrix. When the TiB2 particle content was 5 wt%, the cast composite exhibited the highest hardness of 113 HBW, which was 43.0% higher than that of the base alloy. Fracture analysis showed that the fracture mode changed from ductile to brittle as the mass fraction of TiB2 in the composite increased. The mechanical properties of the 3 wt% TiB2/2024 aluminum matrix composite were significantly improved after hot extrusion, with tensile strength and elongation values of 375 MPa and 19.7%, respectively, which were 52.4% and 101% higher than those of the as-cast material.
Neuromorphic control of a simulated 7-DOF arm using Loihi
Authors: DeWolf Travis , Patel Kinjal , Jaworski Pawel , Leontie Roxana , Hays Joe , Eliasmith Chris 
Published: January 2023

Abstract
In this paper, we present a fully spiking neural network running on Intel’s Loihi chip for operational space control of a simulated 7-DOF arm. Our approach uniquely combines neural engineering and deep learning methods to successfully implement position and orientation control of the end effector. The development process involved four stages: (1) Designing a node-based network architecture implementing an analytical solution; (2) developing rate neuron networks to replace the nodes; (3) retraining the network to handle spiking neurons and temporal dynamics; and finally (4) adapting the network for the specific hardware constraints of the Loihi. We benchmark the controller on a center-out reaching task, using the deviation of the end effector from the ideal trajectory as our evaluation metric. The RMSE of the final neuromorphic controller running on Loihi is only slightly worse than the analytic solution, with 4.13% more deviation from the ideal trajectory, and uses two orders of magnitude less energy per inference than standard hardware solutions. While qualitative discrepancies remain, we find these results support both our approach and the potential of neuromorphic controllers. To the best of our knowledge, this work represents the most advanced neuromorphic implementation of neurorobotics developed to date.
RNAdegformer: accurate prediction of mRNA degradation at nucleotide resolution with deep learning
Authors: He Shujun , Gao Baizhen , Sabnis Rushant , Sun Qing 
Published: January 2023

Abstract
Messenger RNA-based therapeutics have shown tremendous potential, as demonstrated by the rapid development of messenger RNA based vaccines for COVID-19. Nevertheless, distribution of mRNA vaccines worldwide has been hampered by mRNA’s inherent thermal instability due to in-line hydrolysis, a chemical degradation reaction. Therefore, predicting and understanding RNA degradation is a crucial and urgent task. Here we present RNAdegformer, an effective and interpretable model architecture that excels in predicting RNA degradation. RNAdegformer processes RNA sequences with self-attention and convolutions, two deep learning techniques that have proved dominant in the fields of computer vision and natural language processing, while utilizing biophysical features of RNA. We demonstrate that RNAdegformer outperforms previous best methods at predicting degradation properties at nucleotide resolution for COVID-19 mRNA vaccines. RNAdegformer predictions also exhibit improved correlation with RNA in vitro half-life compared with previous best methods. Additionally, we showcase how direct visualization of self-attention maps assists informed decision-making. Further, our model reveals important features in determining mRNA degradation rates via leave-one-feature-out analysis.
A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy
Authors: Deng Wenxuan , Li Bolun , Wang Jiawei , Jiang Wei , Yan Xiting , Li Ningshan , Vukmirovic Milica , Kaminski Naftali , Wang Jing , Zhao Hongyu 
Published: January 2023

Abstract
Computational cell type deconvolution on bulk transcriptomics data can reveal cell type proportion heterogeneity across samples. One critical factor for accurate deconvolution is the reference signature matrix for different cell types. Compared with inferring reference signature matrices from cell lines, rapidly accumulating single-cell RNA-sequencing (scRNA-seq) data provide a richer and less biased resource. However, deriving cell type signature from scRNA-seq data is challenging due to high biological and technical noises. In this article, we introduce a novel Bayesian framework, tranSig, to improve signature matrix inference from scRNA-seq by leveraging shared cell type-specific expression patterns across different tissues and studies. Our simulations show that tranSig is robust to the number of signature genes and tissues specified in the model. Applications of tranSig to bulk RNA sequencing data from peripheral blood, bronchoalveolar lavage and aorta demonstrate its accuracy and power to characterize biological heterogeneity across groups. In summary, tranSig offers an accurate and robust approach to defining gene expression signatures of different cell types, facilitating improved in silico cell type deconvolutions.