Bilateral co-transfer for unsupervised domain adaptation by Fuxiang Huang, Jingru Fu, Lei Zhang

“…However, the dilemma of over-fitting (negative transfer) and under-fitting (under-adaptation) is always an overlooked challenge and potential risk. …”
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Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation by Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels

“…Results show that the two existing metrics tested, Log Expected Empirical Prediction (LEEP) and Logarithm of Maximum Evidence (LogME), correlate well with post-transfer accuracy and can therefore be used to select source models for radio frequency (RF) domain adaptation and to predict post-transfer accuracy.…”
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Store‐operated calcium entry controls innate and adaptive immune cell function in inflammatory bowel disease by Marilena Letizia, Yin‐Hu Wang, Ulrike Kaufmann, Lorenz Gerbeth, Annegret Sand, Max Brunkhorst, Patrick Weidner, Jörn Felix Ziegler, Chotima Böttcher, Stephan Schlickeiser, Camila Fernández, Megumi Yamashita, Kenneth Stauderman, Katherine Sun, Désirée Kunkel, Murali Prakriya, IBDome Researchers, Ashley Sanders, Britta Siegmund, Stefan Feske, Carl Weidinger

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Optimization of Resonant Arrays for Dynamic Wireless Power Transfer Using Adaptive Termination by Joao Dinis, Jose Alberto, Antonio J. Marques Cardoso

“…The integration of an adaptive termination impedance in the final cell of the array significantly improves both energy transfer between the transmitter array and the receiver. …”
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The role of open standards in catalysing knowledge transfer to deliver climate adaptive care by Maeghan Orton, Olivia Swann, Gabrielle Samuel, Peter Drury, Dimitrios Kalogeropoulos, David Pencheon, Kristina Celentano, Babajide Babayeju, Liz Grant

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Horizontal gene transfer-mediated enhancement of gut antifungal defense facilitates host plant adaptation in an invasive pest by Shouke Zhang, Xiayu Li, Zikun Li, Yuxin Zhang, Yiping Wang, Letian Xu

“…Summary: Invasive pests exploit adaptive mechanisms including horizontal gene transfer (HGT) to overcome environmental challenges. …”
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Adoptive transfer of natural killer cells in therapeutic treatment of COVID-19 patients by Abdulaziz Alamri

“…Their antiviral capabilities stem from direct cytotoxic activity against infected cells and immunoregulatory functions that modulate adaptive immune responses. …”
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Comparison of lentiviral and sleeping beauty mediated αβ T cell receptor gene transfer. by Anne-Christine Field, Conrad Vink, Richard Gabriel, Roua Al-Subki, Manfred Schmidt, Nicholas Goulden, Hans Stauss, Adrian Thrasher, Emma Morris, Waseem Qasim

“…Transfer of tumour antigen-specific receptors to T cells requires efficient delivery and integration of transgenes, and currently most clinical studies are using gamma retroviral or lentiviral systems. …”
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Robust Predictive Maintenance for Robotics via Unsupervised Transfer Learning by Arash Golibagh Mahyari, Thomas locher

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Dental pulp stem cells alleviate Schwann cell pyroptosis via mitochondrial transfer to enhance facial nerve regeneration by Xiaoyu Zheng, Juan Wang, Heng Zhou, Ying Chai, Ziwei Li, Minjie Chen, Zihan Yang, Chun Xu, Chang Lei, Yan He, Duohong Zou, Qingsong Ye

“…TNFα secreted by pyroptosis-induced Schwann cells activated the NF-κB pathway in DPSCs, enhancing mitochondrial transfer and adaptive stress responses, thereby promoting mitochondrial protection against pyroptosis in Schwann cells, as reflected in the improved therapeutic efficacy of TNFα-preconditioned DPSCs in the FNI model. …”
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Protocol for cellular age prediction in yeast and human single cells using transfer learning by Subhadeep Duari, Vishakha Gautam, Gaurav Ahuja

“…We detail the process of using the scCamAge Docker container, running the scCamAge model, applying the yeast-trained model to senescent human fibroblasts, and performing transfer learning to adapt scCamAge using human fibroblast data.For complete details on the use and execution of this protocol, please refer to Gautam et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Cross-Scenario Subdomain Adaptive Displacement Anomaly Detection in Dams by Yu Wang, Guohua Liu

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Energy Management Strategy for Fuel Cell Vehicles Based on Deep Transfer Reinforcement Learning by Ziye Wang, Ren He, Donghai Hu, Dagang Lu

“…The simulation results show that the energy management strategy combined with transfer learning not only converges faster (improved by 59.09%), but also shows stronger adaptability when faced with new and more complex driving cycles, compared with not using transfer learning and having the model retrained.…”
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scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization by Bowen Zhao, Kailu Song, Dong-Qing Wei, Yi Xiong, Jun Ding

“…Abstract The rapid advancement of single-cell technologies has created an urgent need for effective methods to integrate and harmonize single-cell data. …”
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Research progress and prospect of cooling technology for drilling fluid in deep and ultra-deep wells by Chao ZHANG, Jinsheng SUN, Xianbin HUANG, Kaihe LÜ, Jintang WANG, Jian LI, Yuan GENG, Juan HE, Jiajun Dai

“…Current cooling technologies are often hindered by high costs, limited efficiency, and difficulties in adapting to the complex and dynamic conditions of deep and ultra-deep wells. …”
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Pseudo-labeling based adaptations of pain domain classifiers by Tobias B. Ricken, Sascha Gruss, Steffen Walter, Friedhelm Schwenker

“…To create accurate pain assessment systems for the long-term pain domain a knowledge transfer from the short-term pain domain is inevitable.MethodsIn this study, we adapt classifiers for the short-term pain domain to the long-term pain domain using pseudo-labeling techniques. …”
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Learning to Adapt Deep Corrosion Assessment Models From Indoor to Outdoor Image Domains by Nicholas Josselyn, Biao Yin, Thomas A. Considine, John Kelley, Berend Rinderspacher, Robert Jensen, James F. Snyder, Walter Gerych, Ziming Zhang, Elke A. Rundensteiner

“…We thus leverage the more readily available artificial-environment indoor data to train a corrosion assessment classifier to transfer it via domain adaptation. In doing so, we can perform well on the smaller, yet more realistic, outdoor corrosion data, without requiring target labels. …”
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Cluster Embedding Joint-Probability-Discrepancy Transfer for Cross-Subject Seizure Detection by Xiaonan Cui, Jiuwen Cao, Xiaoping Lai, Tiejia Jiang, Feng Gao

“…We propose a novel domain adaptation method, named the Cluster Embedding Joint-Probability-Discrepancy Transfer (CEJT), for data distribution structure learning. …”
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Working conditions and organizational practices to support well-being of multiage workforce in Germany, USA, Japan, and South Korea by Jürgen Deller, Xiuzhu Gu, Su Jung Choi, Anne Marit Wöhrmann

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CTLL: A Cell-Based Transfer Learning Method for Localization in Large Scale Wireless Sensor Networks by Zhanyong Tang, Jie Zhang, Xiaoqing Gong, Xiaohua Cheng, Xiaojiang Chen, Dingyi Fang, Wei Wang

“…This paper introduces CTLL, Cell-Based Transfer Learning Method for Localization in WSNs, a new way for localization which is robust to the variances of nodes density and SNR. …”
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