Advances in the Conversion of Furfural to Biofuels by Yingying XU, Xinhua QI

“…Although these biofuels hold significant promise, the conversion processes encounter several challenges, including low conversion efficiency, high energy demands, and complex reaction mechanisms. …”
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Corrosion Inhibition of Carbon Steel Immersed in Standardized Reconstituted Geothermal Water and Individually Treated with Four New Biosourced Oxazoline Molecules by Chahinez Helali, Stephanie Betelu, Romain Valentin, Sophie Thiebaud-Roux, Ioannis Ignatiadis

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Effects of Mesenchymal Stem Cells on Functions of Chimeric Antigen Receptor-Expressing T Lymphocytes and Natural Killer Cells by Vladislav Volarevic, Carl Randall Harrell, Aleksandar Arsenijevic, Valentin Djonov, Ana Volarevic

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Information systems for cost control of current biological assets of crop production by Hanna Hryshchuk, Yevheniia Kaliuha, Nataliia Kuprina, Vitalina Babenko, Anastasiia Kashperska

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Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models by Imran Said, Vasit Sagan, Kyle T. Peterson, Haireti Alifu, Abuduwanli Maiwulanjiang, Abby Stylianou, Omar Al Akkad, Supria Sarkar, Noor Al Shakarji

“…This study’s findings highlight the significant potential of hyperspectral imaging and machine learning techniques for advancing precision breeding practices, optimizing seed sorting processes, and enabling targeted agricultural input applications.…”
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Theoretical analysis of low power optogenetic control of synaptic plasticity with subcellular expression of CapChR2 at postsynaptic spine by Nripesh Dixit, Gur Pyari, Himanshu Bansal, Sukhdev Roy

“…Abstract Precise control of intracellular calcium ( $${Ca}^{2+}$$ ) concentration at the synaptic neuron terminal can unravel the mechanism behind computation, learning, and memory formation inside the brain. …”
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Improved Aerial Surface Floating Object Detection and Classification Recognition Algorithm Based on YOLOv8n by Lili Song, Haixin Deng, Jianfeng Han, Xiongwei Gao

“…The proposed algorithm introduces several key enhancements: (1) an enhanced HorBlock module to facilitate multi-gradient and multi-scale superposition, thereby intensifying critical floating object characteristics; (2) an optimized CBAM attention mechanism to mitigate background noise interference and substantially elevate detection accuracy; (3) the incorporation of a minor target recognition layer to augment the model’s capacity to discern floating objects of differing dimensions across various environments; and (4) the implementation of the WIoU loss function to enhance the model’s convergence rate and regression accuracy. …”
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Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence by Yushuang Dong, HuiPing Liao, Feiming Huang, YuSheng Bao, Wei Guo, Zhen Tan

“…Functional enrichment analysis indicated these genes participate in biological processes, including calcium-mediated signaling and regulation of binding. …”
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Post-stroke spontaneous motor recovery in mice can be predicted from acute-phase local field potential using machine learning by Nicolò Meneghetti, Michael Lassi, Verediana Massa, Silvestro Micera, Alberto Mazzoni, Claudia Alia, Andrea Bandini

“…Our data-driven methodology underscores the importance of balancing feature selection to optimize predictive performance, particularly in the context of spontaneous recovery, where insight into natural recovery processes can guide the development of targeted rehabilitation strategies. …”
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Impact of regulatory measures on the approval timelines of advanced therapy medicinal products by the European Medicines Agency by Simonita Alaburde, Justinas Ivaska, Justinas Ivaska, Greta Kaspute, Tatjana Ivaskiene

“…The study underscores the value of early and frequent engagement with regulatory authorities and the need for tailored regulatory frameworks to support smoother approval processes. These insights can help developers better plan and optimize regulatory strategies. …”
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Transglutaminase 2 Prevents Premature Senescence and Promotes Osteoblastic Differentiation of Mesenchymal Stem Cells through NRF2 Activation by Soo-Jin Lee, Ji-Woong Shin, Mee-Ae Kwon, Ki Baek Lee, Hyo-Jun Kim, Jin-Haeng Lee, Heun-Soo Kang, Jong Kwan Jun, Sung-Yup Cho, In-Gyu Kim

“…These results indicate that TG2 is a critical enzyme in eliciting antioxidant response in MSC through NRF2 activation, providing a target for optimizing MSC manufacturing processes to prevent premature senescence.…”
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Behavior of 1-octanol and biphasic 1-octanol/water droplets in a digital microfluidic system by Jan Wagner, Oliver Fiukowski, Roman Nebesnyi, Sven Ingebrandt, Andrij Pich, Uwe Schnakenberg

“…Abstract Digital microfluidic systems, based on the electrowetting-on-dielectric mechanism, allow the manipulation, dispensing, merging, splitting, and mixing of micro- to nanoliter droplets on hydrophobic surfaces by applying voltages to an array of planar electrodes. …”
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Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences by Toshitake Asabuki, Tomoki Fukai

“…The brain is thought to construct an optimal internal model representing the probabilistic structure of the environment accurately. …”
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Integrating SAM priors with U-Net for enhanced multiclass cell detection in digital pathology by Zheng Wu, Ji-Yun Yang, Chang-Bao Yan, Cheng-Gui Zhang, Hai-Chao Yang

“…Although the large model SAM, renowned for its capability to “segment anything”, has shown promise, its application in the specialized field of medical image processing presents considerable challenges. Direct application of SAM to medical scenarios often fails to yield optimal results. …”
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Information technology assists in the innovative development of throwing embroidered balls by Shijun Xu, Yu Wei, Qingbin Sun, Cong Zeng, Ling Li, Fanhui Xu

“…Abstract This study aims to understand the historical and development of throwing embroidered balls, combine information processing and drone technology to innovate throwing techniques, improve the competitive level and competition rules, promote the high-pole throwing embroidered balls to the international sports. …”
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Dialogue-to-Video Retrieval via Multi-Grained Attention Network by Yi Yu, Jiwei Zhang, Suhua Tang, Wei Li

“…The computational complexity posed by the processing of videos within deep neural networks encourages us to adapt CLIP, a cutting-edge large multi-modal models (LLMs), into the dialogue-video domain. …”
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Distinct oligomeric assemblies of STING induced by non-nucleotide agonists by Anant Gharpure, Ariana Sulpizio, Johannes R. Loeffler, Monica L. Fernández-Quintero, Andy S. Tran, Luke L. Lairson, Andrew B. Ward

“…Abstract STING plays essential roles coordinating innate immune responses to processes that range from pathogenic infection to genomic instability. …”
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Comprehensive experimental study of multivariable oil–brine–rock interactions: impact of brine–rock chemistry and crude oil polarity on enhanced oil recovery in carbonate reservoir... by Azadeh Amrollahi Biyouki, Nosrat Izadi, Samaneh Bovard, Yasaman Tahernezhad, Nashaat Nassar, Ebrahim Ghafar-Zadeh

“…Among different mechanisms, surface charge stands out as a promising and practical approach. …”
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Study on the Photosynthetic Physiological Responses of Greenhouse Young Chinese Cabbage (<i>Brassica rapa</i> L. <i>Chinensis Group</i>) Affected by Particulate Matter Based on Hyp... by Lijuan Kong, Siyao Gao, Jianlei Qiao, Lina Zhou, Shuang Liu, Yue Yu, Haiye Yu

“…The SG + SD + PLS + MSC combination method is relatively advantageous for processing the photosynthetic spectral physiological information of plants under the influence of particulate matter. …”
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Confronting the Gap between Classroom Ideals and the Reality of Clinical Culture: A Student’s Perspective by Isabelle Band, Krishna Chokshi

“… • Structured Reflection: Reflection helps students process difficult clinical experiences and understand their ethical values. …”
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