ARMSprimer3: An open-source primer design Python program for amplification refractory mutation system PCR (ARMS-PCR) by Jingwen Guo, Jeremy Grojean, Huazhang Guo

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YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

“…Further optimization was achieved through model pruning, which contributed to additional lightweighting of the model. These improvements were designed to balance detection accuracy with computational efficiency, particularly for deployment in resource-constrained environments.ResultsThe experimental results demonstrate the effectiveness of the proposed RSD-YOLOv8 model. …”
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Tissue-specific silencing of integrated transgenes achieved through endogenous RNA interference in Caenorhabditis elegans by Siyu Chen, Weihong Liu, Lei Xiong, Zhiju Tao, Di Zhao

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Using multi‐pattern clustering methods to improve software maintenance quality by Yi‐Ting Chen, Chin‐Yu Huang, Tsung‐Han Yang

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Optimizing Boride Coating Thickness on Steel Surfaces Through Machine Learning: Development, Validation, and Experimental Insights by Selim Demirci, Durmuş Özkan Şahin, Sercan Demirci, Armağan Gümüş, Mehmet Masum Tünçay

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Decentralizing video copyright protection: a novel blockchain-enabled framework with performance evaluation by Sri Lakshmi Madapati, Nihar Ranjan Pradhan

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Enzyme Engineering: Performance Optimization, Novel Sources, and Applications in the Food Industry by Shucan Mao, Jiawen Jiang, Ke Xiong, Yiqiang Chen, Yuyang Yao, Linchang Liu, Hanbing Liu, Xiang Li

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Measuring technical variability in illumina DNA methylation microarrays. by Anderson A Butler, Jason J Kras, Karolina P Chwalek, Enrique I Ramos, Isaac J Bishof, David S Vogel, Daniel L Vera

“…By utilizing a dataset comprised of multiple, highly similar technical replicates, we identified a chamber number bias, with different chambers of the microarray exhibiting systematic differences in fluorescence intensities (FI) and their derived methylation beta values, which are only partially corrected for by existing preprocessing methods and demonstrate that this positional bias can lead to false positive results during differential methylation testing. Additionally, our investigation identified outliers in low-level fluorescence data which might play a role in contributing to predictive error in computational models of health-relevant traits such as age.…”
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COMPARATIVE ANALYSIS OF CHANGE IN NEUROPHYSIOLOGICAL AND NEUROCHEMICAL INDICATORS IN TRAINED WORKERS EXPOSED TO MERCURY AND VINYL CHLORIDE by Елена Владимировна Катаманова, Ирина Валерьевна Кудаева, Олег Леонидович Лахман, Виктор Степанович Рукавишников, Елена Николаевна Корчуганова, Ирина Михайловна Ещина

“…When exposed to both mercury and vinyl chloride, changes are noted in the dynamics of observation in the field of emotional and cognitive impairments, as well as bioelectric activity of the brain. In addition, the content of catecholamines, primarily norepinephrine, due to the modification of its biotransformation, is more pronounced upon exposure to mercury. …”
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Inhibitory impact of a mesoporous silica nanoparticle-based drug delivery system on Porphyromonas gingivalis-induced bone resorption by Mengya Li, Jian Sun, Dong Zhao, Wen Zhang, Qingan Xu

“…A P. gingivalis-induced bone resorption model was constructed by subcutaneously injecting P. gingivalis around the cranial bone of rats. Micro-computed tomography was employed to assess the inhibitory impact of MSN and MSN-TC on bone resorption. …”
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Prototyping of reliable notebooks based on simple replaceable components by Artem Tetskyi, Olexander Zheltukhin, Artem Perepelitsyn

“…The scientific novelty of the obtained results is in the fact that the performed analysis of solutions from leading manufacturers and the practical experience of laptop failures diagnostics allowed to propose a set of recommendations of the reliable laptops creation and modification of the existing components including the suppor of a wide range of power supply voltages, that will make it possible the charging from power sources without the use of an additional converters. …”
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Segmentation for mammography classification utilizing deep convolutional neural network by Dip Kumar Saha, Tuhin Hossain, Mejdl Safran, Sultan Alfarhood, M. F. Mridha, Dunren Che

“…Consequently, many deep learning (DL)-based computer-aided diagnosis (CAD) approaches for BC classification have been developed. …”
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Revisiting single inclusive jet production: timelike factorization and reciprocity by Kyle Lee, Ian Moult, Xiaoyuan Zhang

“…In the case of small radius jets, the dynamics of the jet clustering can be factorized from both the hard production dynamics, and the dynamics of the low scale jet substructure measurement, and is described by a matching coefficient that can be computed in perturbative Quantum Chromodynamics (QCD). …”
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Low-carbon cement development: modifying volcanic ash reactivity for portland cement replacement by Nawaf Alsulami, Hung-Liang Roger Chen

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Antarctic Sea Ice Extraction for Remote Sensing Images via Modified U-Net Based on Feature Enhancement Driven by Graph Convolution Network by Wu Feng, Xiulin Geng, Xiaoyu He, Miao Hu, Jie Luo, Meihua Bi

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RBAU: Noval Redactable Model with Audit Mechanism and Key Update for Alliance Chain by Yineng Chen, Ting Guo, Qingshan Ren, Xiwen Yang, Xiaoxuan Chen, Shukun Liu, Fanzai Zeng

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Highly Resistive Biomembranes Coupled to Organic Transistors enable Ion‐Channel Mediated Neuromorphic Synapses by Joshua J. Maraj, Emily A. Schafer, Michelle M. Mansour, Essraa A. Hussein, Joseph Berryman, Elizabeth Klavon, Jonathan Rivnay, Stephen A. Sarles

“…High membrane resistance and the addition of voltage‐activated ionophores enable us to demonstrate that selective ion transport and spontaneous membrane resealing in response to dynamic gate voltage imparts selective programming and memory‐storage capability to an OECT without chemical modification of the PEDOT:PSS. …”
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Use of Nuclear Data Sensitivity and Uncertainty Analysis for the Design Preparation of the HCLL Breeder Blanket Mockup Experiment for ITER by I. Kodeli

“…The combined use is expected to provide additional and complementary information on the sensitive cross-sections.…”
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Logical reasoning for human activity recognition based on multisource data from wearable device by Mahmood Alsaadi, Ismail Keshta, Janjhyam Venkata Naga Ramesh, Divya Nimma, Mohammad Shabaz, Nirupma pathak, Pavitar Parkash Singh, Sherzod Kiyosov, Mukesh Soni

“…Once the best model has been chosen, the cross-person recognition results after testing and modification of parameters are 90.8% and 92.1%, respectively. …”
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RootTracer: An intuitive solution for root image annotation by Maichol Dadi, Annalisa Franco, Giuseppe Sangiorgi, Silvio Salvi, Alessandra Lumini

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