PGC-1α-Dependent Mitochondrial Adaptation Is Necessary to Sustain IL-2-Induced Activities in Human NK Cells by Dante Miranda, Claudia Jara, Jorge Ibañez, Viviana Ahumada, Claudio Acuña-Castillo, Adrian Martin, Alexandra Córdova, Margarita Montoya

“…Our aim was to determine if IL-2 induces changes at the mitochondrial level in NK cells to support the bioenergetic demand for performing this enhanced cytotoxic activity more efficiently. Purified human NK cells were cultured with high IL-2 concentrations to develop LAK activity, which was assessed by the ability of NK cells to lyse NK-resistant Daudi cells. …”
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JiuZhou: open foundation language models and effective pre-training framework for geoscience by Zhou Chen, Ming Lin, Mingrun Zang, Zimeng Wang, Juanzi Li, Yuqi Bai

“…We introduce a two-stage pre-adaptation pre-training method to enhance the efficiency of knowledge learning and transfer in the model and demonstrated its effectiveness. …”
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YOLO11-ARAF: An Accurate and Lightweight Method for Apple Detection in Real-World Complex Orchard Environments by Yangtian Lin, Yujun Xia, Pengcheng Xia, Zhengyang Liu, Haodi Wang, Chengjin Qin, Liang Gong, Chengliang Liu

“…First, to enhance the model’s ability to capture apple-specific features, we replaced the original C3k2 module with the CARConv convolutional layer. …”
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Study on the dynamic impact response of Arc-direct energy deposited Al-Cu-Mn-Zr alloy by Yinghui Zhou, Shihao Kang, Yongming Ren, Yongqin Liu, Ziqi Jie, Yuhong Yao, Xuewei Fang, Xin Lin, Ahmad Shah

“…Additive manufacturing technology is vital for its ability to create complex designs efficiently while promoting sustainability and customization across various industries. …”
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A case for myoglobin-macromolecular rate theory applied to pseudo peroxidase kinetics by Collin Tuttle, Michael Hannesson, Amy Henrichsen, Lily Hainsworth, Camille Condie, Aj Whitesides, Archel Oren, Simeon Tanner, Benjamin Terry, Jacob Cannon, Jeremy Johansen, Alisha Bhatia, Daniel Scott

“…Additionally, our research notes the pH-dependence of myoglobin’s catalytic efficiency compared to traditional peroxidases, offering implications for understanding its broader biological roles.…”
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MARSWIN: A Cross-Shot Swin Transformer Network for Super-Resolution on Mars MoRIC Image by Junjie Li, Weikun Lv, Linhui Wei, Yu Liu, Yumei Wang, Zhi Liu, Zhi Zeng

“…Super-resolution (SR) has emerged as a promising technique due to its ability to enhance image quality efficiently. However, applying SR to Martian images faces significant challenges, including the limited availability of large-scale datasets and the difficulty of designing accurate degradation models. …”
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Indacenodithienothiophene-based A-D-A-type phototheranostics for immuno-phototherapy by Yangtian Ye, Shaojing Zhao, E Pang, Yuanyu Tang, Pan Zhu, Wenjie Gao, Qingxu Diao, Jie Yu, Jie Zeng, Minhuan Lan, Jianing Yi

“…Abstract The development of phototherapeutics with high photothermal conversion efficiency (PCE) and strong ability to generate reactive oxygen species under single near-infrared (NIR) laser irradiation for immuno-phototherapy applications remains a significant challenge. …”
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Automatic Lateralization of Temporal Lobe Epilepsy Based on MEG Network Features Using Support Vector Machines by Ting Wu, Duo Chen, Qiqi Chen, Rui Zhang, Wenyu Zhang, Yuejun Li, Ling Zhang, Hongyi Liu, Suiren Wan, Tianzi Jiang, Junpeng Zhang

“…The leave-one-subject-out cross-validation strategy was used to test the ability of this approach to overcome individual differences. …”
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Mapping and Analyzing Winter Wheat Yields in the Huang-Huai-Hai Plain: A Climate-Independent Perspective by Yachao Zhao, Xin Du, Qiangzi Li, Yuan Zhang, Hongyan Wang, Yunzheng Wang, Jingyuan Xu, Jing Xiao, Yunqi Shen, Yong Dong, Haoxuan Hu, Sifeng Yan, Shuguang Gong

“…These findings underscore the need for tailored adaptation strategies, such as enhancing water-use efficiency in inland provinces and optimizing agronomic practices in coastal regions. …”
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Fault reconfiguration control strategy of islanded marine ranching power supply system based on deep reinforcement learning by Yichun Wang, Bo Zhang, Rongjie Wang, Jiang Desong, Yabo Cui, Zhouyang Sun, Hao Liu

“…To enhance convergence efficiency and generalization capability of the algorithm, noise networks are used to improve exploration ability of dueling DQN algorithm by implementing linear layers with learnable noise using an adaptive noise model. …”
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A neuromorphic model of active vision shows how spatiotemporal encoding in lobula neurons can aid pattern recognition in bees by HaDi MaBouDi, Mark Roper, Marie-Geneviève Guiraud, Mikko Juusola, Lars Chittka, James AR Marshall

“…Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. …”
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Human-induced pluripotent stem cell-derived microglia integrate into mouse retina and recapitulate features of endogenous microglia by Wenxin Ma, Lian Zhao, Biying Xu, Robert N Fariss, T Michael Redmond, Jizhong Zou, Wai T Wong, Wei Li

“…Furthermore, these cells were found juxtaposed alongside residual endogenous murine microglia for up to 8 months in the retina, indicating their ability to establish a stable homeostatic state in vivo. …”
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Study of key residues in MERS-CoV and SARS-CoV-2 main proteases for resistance against clinically applied inhibitors nirmatrelvir and ensitrelvir by Laura Krismer, Helge Schöppe, Stefanie Rauch, David Bante, Bernhard Sprenger, Andreas Naschberger, Francesco Costacurta, Anna Fürst, Anna Sauerwein, Bernhard Rupp, Teresa Kaserer, Dorothee von Laer, Emmanuel Heilmann

“…MERS-CoV has the potential to mutate or recombine with other coronaviruses, thus acquiring the ability to efficiently spread among humans and become pandemic. …”
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Retina‐Inspired X‐Ray Optoelectronic Synapse Using Amorphous Ga2O3 Thin Film by Huili Liang, Xiaoyan Tang, Hang Shao, Rui Zhu, Shizhi Deng, Xiaozhi Zhan, Tao Zhu, Jiwei Wang, Jihua Zhang, Guangyu Zhang, Zengxia Mei

“…Neuromorphic optoelectronic synapses, as a preferable option to promote the efficiency of image recognition, are hotly pursued in non‐ionizing radiation range, but rarely in ionizing radiation including X‐rays. …”
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Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning by Sakhshra Monga, Abhishake Bansal, Ibrahim Aljubayri, Nitin Saluja, Chander Prabha, Shivani Malhotra, Prakash Srivastava, Mohammad Zubair Khan

“…Similarly, an IRS deployment with 32 elements enhances MARL’s efficiency by leveraging improved signal reflections, leading to significant performance gains. …”
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The mechanism of telomerase Cajal body protein 1 regulating senescence of mouse bone marrow mesenchymal stem cells by Shu-qian Lin, Nini Tian, Xiang Yao, Xing-hua Pan, Zi-an Li, Qiang Wang, Jin Gao, Xi-long Zhao, Guang-ping Ruan

“…Abstract Objective The regulatory ability of bone marrow stem cells (BMSC) to chemokines and inflammatory factors has a significant effect in a variety of diseases. …”
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Leveraging Big Data for Economic Stability: A Dashboard for ASEAN's Future Growth by Norfiza Ibrahim, Nurul Athirah Aziz, Azmi Abu Seman, Nadia Abdul Wahab, Aznoora Osman, Siti Sarah Md Ilyas

“…This study employs the Rapid Application Development paradigm, which was chosen for its ability to efficiently build a system within a small time frame. …”
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Tranexamic acid impairs plasmin generation on human mesenchymal stem cells and derived membrane microvesicles, halting pericellular proteolysis by Ramy Abou Rjeily, Christina Mrad, Fatiha Z. El-Ghazouani, Florence Toti, Audrey Cras, Audrey Cras, Eduardo Angles-Cano

“…We have also investigated the regulatory mechanisms mediated by PAI-1 and the ability of MSCs to shed microvesicles bearing the proteolytic machinery.MethodsHuman MSCs were derived from bone marrow or umbilical cord donors. …”
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State of Health Estimation for Lithium-Ion Batteries Based on TCN-RVM by Yu Zhao, Yonghong Xu, Yidi Wei, Liang Tong, Yiyang Li, Minghui Gong, Hongguang Zhang, Baoying Peng, Yinlian Yan

“…A State of Health (SOH) estimation of lithium-ion batteries is a core function of battery management systems, directly affecting the safe operation, lifetime prediction, and economic efficiency of batteries. However, existing methods still face challenges in balancing feature robustness and model generalization ability; for instance, some studies rely on features whose physical correlation with SOH lacks strict verification, or the models struggle to simultaneously capture the temporal dynamics of health factors and nonlinear mapping relationships. …”
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MDNN-DTA: a multimodal deep neural network for drug-target affinity prediction by Xu Gao, Xu Gao, Mengfan Yan, Mengfan Yan, Chengwei Zhang, Chengwei Zhang, Gang Wu, Gang Wu, Jiandong Shang, Jiandong Shang, Congxiang Zhang, Congxiang Zhang, Kecheng Yang, Kecheng Yang

“…One notable strength of our method is its ability to accurately predict DTA directly from the sequences of the target proteins, obviating the need for protein 3D structures, which are frequently unavailable in drug discovery. …”
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