Results 61 to 70 of about 16,430 (195)
Research on self-training neural machine translation based on monolingual priority sampling [PDF]
To enhance the performance of neural machine translation (NMT) and ameliorate the detrimental impact of high uncertainty in monolingual data during the self-training process, a self-training NMT model based on priority sampling was proposed.
DU Xiaofeng +4 more
core +1 more source
International Journal of Applied Linguistics, EarlyView.ABSTRACT This study investigates how the learner‐related factors of language dominance, encompassing language history, proficiency, use, and attitude, modulate congruency effects in multi‐word unit (MWU) processing among early bilinguals. Seventy Cantonese–Putonghua bilinguals completed lexical decision tasks measuring reaction time and accuracy for ...
Mingjia Cai, Yuan Liang
wiley +1 more source
Public Administration, EarlyView.ABSTRACT While public administration research has begun exploring the impact of women's representation in top leadership positions in public organizations, the conditions under which women's representation in top management teams (TMTs) produces policies specifically benefiting women remain underexamined.
Ting Huang +3 more
wiley +1 more source
Image tampering localization model for intensive post-processing scenarios [PDF]
Addressing the challenges of blurred or destroyed tampering traces presented by lossy operations such as image compression and scaling on images within social platforms like WeChat and Weibo, an adversarial image tampering localization model was ...
HUANG Jiwu +3 more
core +1 more source
Policy Studies Journal, EarlyView.Abstract We examine whether and how public participation in policymaking contributes towards fostering stakeholder support for policy proposals formulated in the bureaucratic arena. We explain how key markers of procedural fairness describing both the participation process and policymakers' presentations of it during the decision justification stage co‐
Adriana Bunea, Idunn Nørbech
wiley +1 more source
Passive forensic based on spatio-temporal localization of video object removal tampering [PDF]
, 2020 To address the problem of identification of authenticity and integrity of video content and the location of video tampering area,a deep learning detection algorithm based on video noise flow was proposed.Firstly,based on SRM (spatial rich model) and C3D (
Guohua WU +5 more
core +1 more source
Legislative Attention and Nonprofit Efficiency: A Link Across Sectoral Boundaries
Policy Studies Journal, EarlyView.ABSTRACT Government attention matters for nonprofit management and nonprofit‐government interactions. This study focuses on legislative attention, an important yet less‐studied aspect of government attention in public policy research, and examines its impact on nonprofit efficiency.
Yuhao Ba, Jessica Berrett, Jason Coupet
wiley +1 more source
Zhendong Ceshi yu Zhenduan针对动车组设备中滚动轴承故障预测实时性不强的问题，提出了基于增强节点更新的宽度神经网络方法。首先，采用宽度神经网络的方法对预处理之后的滚动轴承原始振动数据进行模型训练；其次，在训练过程中通过增加增强节点进行权值更新；最后，使用宽度网络对设置滑动窗口的数据进行预测并输出最终结果。动车组模拟实验台采集的滚动轴承故障数据的实验结果表明：模型训练时间得以缩短，预测时间控制在30 ms以内，达到实际工业设备预测要求；与传统深度学习相比，基于增强节点更新的宽度神经网络其预测准确性得以保障，且预测实时性优于其他方法。
doaj +1 more source
Gaoya dianqi, 2010 利用介质阻挡放电实验装置和测量系统研究了不同的介质层厚度、外加电压以及空气间隙距离的等离子体助燃（PAC）激励器放电特性,并在实验数据的基础上,根据介质阻挡放电等效电路对空气间隙上的两端电压、放电电流等参数进行了计算。结果表明,介质层的厚度对放电脉冲的次数的影响很大;随外加电压的增加,脉冲放电增加,放电的起始时刻不断提前;随着空气间隙距离的减小,激励器放电强度明显增强,放电更加均匀。
兰宇丹, 何立明, 丁伟
doaj
World Water Policy, Volume 12, Issue 1, February 2026.ABSTRACT Water security in tropical regions faces escalating pressures from climate change, land‐use shifts, and population growth. We conducted a bibliometric review of 1146 peer‐reviewed articles (1964–2023) on tropical water security. Latent Dirichlet Allocation identified 13 thematic topics and their evolution. Publications rose sharply after 2012,
Karling Fernanda Schuster +3 more
wiley +1 more source