Highly-sensitive electrochemiluminescence biosensor for detection of inosine monophosphate in meat based on graphdiyne/AuNPs/luminol nanocomposites by Jing Liu, Yizhong Shen, Guangxian Wang, Yaodong Xiang, Yemin Guo, Xia Sun, Yuan Liu

“…Importantly, GDY/AuNPs/luminol nanocomposites showed excellent catalytic ability and superior ECL activity towards luminol-H2O2 systems due to the synergistic effect of GDY and AuNPs. …”
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Nanovaccine loaded with seno-antigen target senescent cells to improve metabolic disorders of adipose tissue and cardiac dysfunction by Kexin Zhang, Qiliang Yin, Yucen Ma, Mengyu Cao, Lingwei Li, Xinliang Jin, Jiyan Leng

“…The GK-NaV could be highly engulfed by bone marrow-derived dendritic cells (BMDCs) and efficiently present antigens on the cellular surface, thereby promoting DCs maturation and activation of CD8+T cells in vitro. …”
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Shuffle window transformer DeepLabV3+: a lightweight convolutional neural network and transformer based hybrid semantic segmentation network by Yane Li, Zhichao Chen, Hongxia Qi, Ming Fan, Lihua Li

“…Dynamic adjustment of MS feature weights improves the backbone network’s ability to capture shallow discriminative features. …”
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High-entropy alloyed single-atom Pt for methanol oxidation electrocatalysis by Mingda Liu, Zhichao Zhang, Chenyu Li, Sen Jin, Kunlei Zhu, Shoushan Fan, Jia Li, Kai Liu

“…This catalyst not only possesses active Pt sites but also inherits the ability of single-atom Pt to resist CO poisoning. …”
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Research on the Hydrodynamic Characteristics of a Rectangular Otter Board in Different Work Postures Based on a Dynamic Model by Wenhua Chu, Minghao Zhai, Senqi Cui, Yu Cao, Xinyang Zhang, Qiaoli Zhou

“…When studying different working angles (including AOA and tilt angle) of the otter board, the numerical dynamic model significantly reduces repetitive setup work, making simulations more efficient. Its ability to provide continuous curves and a large volume of results offers researchers a more detailed and comprehensive understanding of the board’s hydrodynamics. …”
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Levenberg-Marquardt Algorithm-Based Neural Network Smart Control Strategy for a Low-Input Current Ripple and High-Voltage Gain Power Converter in Fuel-Cells Energy Systems by Mustafa Ozden, Davut Ertekin, Pierluigi Siano

“…A crucial aspect of DC-DC converters employed in renewable energy sources such as fuel cells is their ability to exhibit substantial increases in DC voltage and maintain an efficient structure while minimizing input current ripple. …”
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A Novel Optimization Algorithm Inspired by Egyptian Stray Dogs for Solving Multi-Objective Optimal Power Flow Problems by Mohamed H. ElMessmary, Hatem Y. Diab, Mahmoud Abdelsalam, Mona F. Moussa

“…One of the most important issues that can significantly affect the electric power network’s ability to operate sustainably is the optimal power flow (OPF) problem. …”
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Enhancing biosensor capabilities through laccase immobilization in nanostructured Langmuir-Blodgett films for phenol detection by A.C. Machado, C. Salvo-Comino, M.L. Rodriguez-Mendez, L. Caseli

“…The films' ability to detect phenols was evaluated through enzymatic activity estimation using colorimetric and voltammetry measurements against vanillin, catechol, and pyrogallol. …”
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Wearable Neurotechnology for the Treatment of Insomnia: The Study Protocol of a Prospective, Placebo-Controlled, Double-Blind, Crossover Clinical Trial of a Transcranial Electrical... by Keenan Caswell, Grace Roe, Emamoke Odafe, Subodh Arora, Caddie Motoni, John Kent Werner

“…If successful, PeakSleep™ could address the final common pathway in insomnia, namely the onset and maintenance of slow-wave sleep (SWS), and accordingly has the potential to enhance sleep onset in a wide range of individuals, most importantly warfighters in whom efficient sleep onset may be critical for operational success.…”
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Landscape of small nucleic acid therapeutics: moving from the bench to the clinic as next-generation medicines by Mohan Liu, Yusi Wang, Yibing Zhang, Die Hu, Lin Tang, Bailing Zhou, Li Yang

“…Abstract The ability of small nucleic acids to modulate gene expression via a range of processes has been widely explored. …”
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Engineered Rhizobia with Trehalose-Producing Genes Enhance Peanut Growth Under Salinity Stress by Jialin Liu, Dong Wang, Ruiqi Tong, Shengyue Ye, Yanhao Zhao, Jiangwen Wu, Yi Gan

“…We hope our findings may serve as valuable references for the future development of efficient and superior engineered rhizobial strains for peanut cultivation.…”
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Identification of Novel Bioactive Compound Derived from Rheum officinalis against Campylobacter jejuni NCTC11168 by Mohammed Yosri, Basma H. Amin, Nermine N. Abed, Amal S. Elithy, Sayed M. Kareem, Nagwa M. Sidkey

“…A special feature of higher plants is their ability to produce a great number of organic chemicals of high structural diversity, the so-called secondary metabolites. …”
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GNNWR: an open-source package of spatiotemporal intelligent regression methods for modeling spatial and temporal nonstationarity by Z. Yin, J. Ding, Y. Liu, R. Wang, Y. Wang, Y. Chen, J. Qi, S. Wu, Z. Du

“…Due to the higher accuracy and generalization ability, these models have been widely used in various fields of scientific research. …”
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An integrated cloud system based serverless android app for generalised tractor drawbar pull prediction model using machine learning by Harsh Nagar, Rajendra Machavaram, Ambuj, Peeyush Soni, Subhajit Saha, T. Subhash Chandra Bose

“…Knowing tractor drawbar pull is crucial to ensure the tractor can handle the required workload efficiently and safely, preventing soil damage and optimising field productivity. …”
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A composite photovoltaic power prediction optimization model based on nonlinear meteorological factors analysis and hybrid deep learning framework by Mengji Yang, Haiqing Zhang, Xi Yu, Aicha Sekhari Seklouli, Abdelaziz Bouras, Yacine Ouzrout

“…This framework enhances the ability to capture long-term dependencies through the combined effects of efficient convolution parameter optimization and variable-oriented multivariate modeling. …”
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OceanLSTM: xLSTM with spatial attention for salt spray formation and migration prediction in marine hot-humid environments by Chuan Chen, Ganxin Jie, Jun Wang, Shouhe Wang, Xiaonong Xu

“…The experimental results demonstrate that OceanLSTM significantly outperforms traditional models in evaluation metrics such as accuracy and F1-score, especially on datasets with strong spatiotemporal dependencies.DiscussionThis research provides a more precise and efficient tool for future marine environment monitoring and corrosion prediction, offering important practical applications.…”
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Effects of Exercise on Physical Fitness in Older Adults with and Without Severe Cognitive Impairment by Oliver Ramos-Álvarez, Elkin Eduardo Roldán-Aguilar, Mariano Altamiranda-Saavedra, Juan Carlos Marín, Víctor Arufe-Giráldez

“…Physical fitness is defined as the ability to perform daily activities efficiently and without excessive fatigue, involving anthropometric variables and physical capacities. …”
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Microbial contributions to plant growth and stress tolerance: Mechanisms for sustainable plant production by Neha Sharma, Lovely Mahawar, Arti Mishra, Benedicte Riber Albrectsen

“…Advances in microbial genomics, metagenomics, and high-throughput phenotyping have greatly enhanced our ability to identify, characterize, and apply beneficial microbes across a range of crop systems. …”
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Baicalein as a potent antifungal agent against Candida albicans: synergy with fluconazole and sustainable production through probiotic-mediated bioconversion by Hang Zhai, Jialing Zeng, Xiaonan Ma, Fuju Wang, Wei Xu, Ming Song, Weizhuo Xu

“…This study demonstrates the potent antifungal activity of baicalein, its synergistic effects with fluconazole, and the ability of L. rhamnosus to efficiently convert baicalin into baicalein. …”
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Robust self management classification via sparse representation based discriminative model for mild cognitive impairment associated with diabetes mellitus by Yun-xian Wang, Rong Lin, Hao Liang, Yuan-jiao Yan, Ji-xing Liang, Ming-feng Chen, Hong Li

“…A Sparse-representation-based Discriminative Classification model (SDC) is proposed in this paper to correctly classify MCI-DM patients based on their self-management ability. Specifically, an L1-minimization sparse representation model, an efficient machine learning model, is used to obtain the sparse histogram that encodes the identity of the test sample. …”
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