Dynamic traction of lattice-confined platinum atoms into mesoporous carbon matrix for hydrogen evolution reaction by Lou, David Xiong Wen, Zhang, Huabin, An, Pengfei, Zhou, Wei, Guan, Bu Yuan, Zhang, Peng, Dong, Juncai

“…Results of extended x-ray absorption fine structure investigation and density functional theory calculation suggest that the active sites are associated with the lattice-confined Pt centers and the activated carbon (C)/nitrogen (N) atoms at the adjacency of the isolated Pt centers. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Bayesian optimization was also implemented to fine-tune these models. Results: The evaluation framework revealed that each model exhibited different levels of predictive accuracy and precision. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Bayesian optimization was also implemented to fine-tune these models. Results: The evaluation framework revealed that each model exhibited different levels of predictive accuracy and precision. …”
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Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks by Zhang, Zhengyan, Xiao, Guangxuan, Li, Yongwei, Lv, Tian, Qi, Fanchao, Liu, Zhiyuan, Wang, Yasheng, Jiang, Xin, Sun, Maosong

“…The pre-training-then-fine-tuning paradigm has been widely used in deep learning. …”
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Build a Large Language Model (From Scratch) / by Raschka, Sebastian, author 656094

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Technological transmission of knowledge in Neolithic northwestern China: mineralogical and chemical analyses of Yangshao and Majiayao painted ware by Spataro, M, Hein, A

“…The analyses were carried out to detect differences or similarities in the chaînes opératoires of ceramic production at the three sites, in particular, to examine the clay types selected to make the three main categories of wares for which Yangshao and Majiayao are known, namely painted fine wares, burnished fine wares, and unpainted coarse wares. …”

India’s ‘gas renaissance’ - rhetoric versus reality by Sen, A

“…<p>Most general discussion on the future of the market for internationally traded gas focuses on the ‘swing towards Asia’ – specifically, China and India are highlighted as major drivers of demand. …”

WiFi and vision multimodal self-supervised learning for human activity recognition by Tang, Shijie

“…In this context, we propose a novel Multimodal Pretrain fine-tune (MPF) network architecture for device-free human activity recognition using commercial WiFi-enabled IoT devices and cameras. …”
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Utilization of oil contaminated sand for green asphalt concrete production by Ng, Ye Han

“…The objective of this research is to study the feasibility of Oil Contaminated Sand (OCS) usage as a replacement of certain percentage of fine aggregates in Hot Mix Asphalt (HMA) for road construction. …”
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Properties of copper slag concrete by Zhang, Weide

“…This report investigated the mechanical properties of high strength concrete incorporating copper slag as fine aggregates. The rising need for alternative fine aggregates substitution of sand is essential due to its high materials cost and the emphasis on sustainable concrete. …”
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Automated teller machines in Singapore by Soh, Yong Chee, Phua, Alice Loo Huay, Tan,Yang Leng

“…Activation of ATMs can also be enhanced by substituting the present A TM card and PIN system with either voice recognition, retina recognition or thumbprints. …”
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Structure and phase engineering of 2D transition metal chalcogenides by Tang, Bijun

“…As an indispensable member of the two-dimensional (2D) family as well as a perfect complement to graphene, 2D transition metal chalcogenides (TMCs) have long been the center of research attention, attributed to their large spectrum of fascinating properties along with the various crystal structures. …”
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Neural abstractive summarization: improvements at the sequence-level by Ravaut, Mathieu

“…With enough data, pre-trained Transformer-based sequence-to-sequence models can be fine-tuned and achieve strong performance on abstractive summarization benchmarks. …”
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Leveraging linguistic knowledge to enhance low-resource NLP applications by Zhu, Zixiao

“…Specifically, 1. In the promptless fine-tuning paradigm, we first focus on fine-tuning word embeddings for task-related words, thereby enriching the conceptual knowledge available to compositional neural networks during feature learning in emotion recognition. …”
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Influence of mesh sizes and orientations on expanded aluminium sheets on tensile performances by Nik Ismail, N A, Roslan, M N, Ismail, A E, El Bakri, H M

“…According to the results of the experiment, specimens with fine mesh have higher tensile stress, which is 44.90 MPa for fine mesh specimens with a 30° orientation, compared to medium and coarse mesh sizes, which have the lowest strength, which is 7.06 MPa for coarse mesh specimens with a 60° orientation. …”
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Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging by Hirt, Sebastian, Höhl, Andreas, Schaeffer, Joachim, Pohlodek, Johannes, Braatz, Richard D, Findeisen, Rolf

“…This approach establishes a hierarchical control framework where Bayesian optimization directly fine-tunes closed-loop behavior towards a global and long-term objective, while MPC handles lower-level, short-term control tasks. …”
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A model for cis-regulation of transcriptional condensates and gene expression by proximal lncRNAs by Natarajan, Pradeep, Shrinivas, Krishna, Chakraborty, Arup K

“…Long noncoding RNAs (lncRNAs) perform several important functions in cells including cis-regulation of transcription. …”
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Effect of heat treatment on microstructures and mechanical properties of Inconel 718 additively manufactured using gradient laser power by Xu, Luming, Chai, Ze, Peng, Bo, Zhou, Wei, Chen, Xiaoqi

“…The as-deposited GLP samples with fine discrete Laves phases and a low SR can achieve a relatively uniform element distribution and γ′′ and γ′ phase precipitation after standard solution treatment plus aging (STA), while CLP samples with coarse long-chain Laves phases and high SR require a high-temperature homogenization plus STA (HSTA) heat treatment to achieve the uniform element distribution. …”
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Towards robust sensing and recognition : from statistical learning to transfer learning by Yang, Jianfei

“…The proposed method also allows user to fine-tune the system using few samples, and thus is user-friendly. …”
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Self-Improvement for Circuit-Analysis Problems by Williams, R. Ryan

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