Lipoprotein N-terminal modification in Bacillus: a new paradigm for extracellular acetylation and species-dependent Toll-like receptor 2 immunomodulation by Gloria Komazin, Rachel M. Wigmore, Aditi M. Ranade, Amena A. Rizk, John H. Gardiner, Timothy C. Meredith

“…While Ac-LP biosynthetic pathway genes appear to be universally conserved in all Bacillus spp., those associated with pathogenic lineages have often lost function. In B. anthracis strains, LhaT has been inactivated by insertion of poly-tyrosine runs of variable length that favors chemotype conversion to lyso-LP and evasion of TLR2 detection. …”
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Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development by Yanong Li, Yixuan He, Yawei Liu, Bingchen Wang, Bo Li, Xiaoguang Qiu

“…Due to their insidious onset and impact on critical functional areas of the brain, these tumors often result in irreversible abnormalities in growth and development, as well as cognitive and motor impairments in affected children. …”
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Reconstruction of the object inhomogeneity parameters from near-field measurements in microwave tomography problem using neural networks by A.V. Medvedev, M.Yu. Medvedik

“…The field is induced by a point source located outside the body. Materials and methods. …”

Visible Triple-Wavelength Switchable Emission Generated in Passively Q-Switched Nd:YVO₄ Self-Raman Laser by Songtao Li, Shengxi Zheng, Bowen Zheng, Yong Wei, Yongchang Zhang, Yanmin Duan, Haiyong Zhu

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Green Recovery and Identification of Antioxidant and Enzyme Inhibitor Molecules from Pisco Grape Pomace by Targeted Effects Analysis Using Thin-Layer Chromatography, Bioassay, and... by Jacqueline Poblete, Joaquín Fernández-Martínez, Mario Aranda, Issis Quispe-Fuentes

“…Bioactive molecules were detected and identified applying directed effect analysis on planar chromatography coupled to mass spectrometry. …”
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Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

“…First， the source dataset is trained on the training network to obtain the source model， and then a small amount of drive-end data is used as the target dataset to fine-tuning to obtain the target model. …”
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Unlocking the potential of circulating small extracellular vesicles in neurodegenerative disease through targeted biomarkers and advancements in biosensing by Saqer Al Abdullah, Ivy Cocklereece, Kristen Dellinger

“…Neurodegenerative diseases (NDDs) gradually affect neurons impacting both their function and structure, and they afflict millions worldwide. …”
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Growth Toxic Effects of Metal Nanoparticles on Bacillus subtilis and Vibrio parahaemolyticus by Shiyu CHEN, Bin XIA, Lin ZHU, Shuang LI, Qiufen LI, Xuemei SUN, Wei DAI

“…Based on the ecological roles and functions of these two bacteria in marine microbial communities, this study used B. subtilis and V. parahaemolyticus isolated from Bohai Bay as test organisms. …”
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Spectral domain optical coherence tomography: a better OCT imaging strategy by Zahid Yaqoob, Jigang Wu, Changhuei Yang

“…There are two approaches to SDOCT—one that uses a broadband source and a spectrometer to measure the interference pattern as a function of wavelength and the other that utilizes a narrowband tunable laser that is swept linearly in k ∼ 1/λ space during spectral fringe data acquisition. …”
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On Power-Off Temperature Attacks Potential Against Security Sensors by Maryam Esmaeilian, Vincent Beroulle, David Hély

“…Although numerous security sensors and attack detectors have been proposed in the literature to detect different sources of FIAs, it is crucial to ensure that these mechanisms themselves have not been tampered. …”
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Carbon-Based Nanoadsorbents for the Removal of Emerging Pollutants by M. Venkata Ratnam, P. Akilamudhan, K. Senthil Kumar, S. Narasimha Reddy, K. Nagamalleswara Rao, Feroz Shaik, D. M. Reddy Prasad

“…Emerging contaminants (ECs) are substances that have been detected in water but have not been thoroughly tested or regulated. …”
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Ultra-high-energy γ-ray emission associated with the tail of a bow-shock pulsar wind nebula

“…The source energy spectrum extended up to 300 TeV, which was well fitted by a log-parabola function with N0 = (1.93 ± 0.23) × 10−16 TeV−1 cm−2 s−1, α = 2.14 ± 0.27, and β = 1.20 ± 0.41 at E0 = 30 TeV. …”
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An effective fluorescence strategy based on xanthine oxidase catalysis and the carbon dots’ specific response to ·OH for aminophylline pharmacokinetic studies by Chenfang Miao, Menghan Zhang, Ying Zheng, Xiaoyan Lin, Shuangying Yang, Linlin Xu, Sitong Lu, Zhengjun Huang, Jianyong Huang, Yanjie Zheng, Shaohuang Weng

“…However, efficient and sensitive detection methods remain limited. In this study, high quantum yield carbon dots (CA/EDA-CDs) were synthesized via a hydrothermal method using riboflavin as the carbon source, citric acid and ethylenediamine as functionalizing agents and dopants. …”
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Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across di... by Beate C. Braun, Michał M. Hryciuk, Dorina Meneghini

“…The findings suggest that domestic cat CLs could also be a source of adipokines such as adiponectin or APELA. …”
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Methylenetetrahydrofolate Reductase Gene rs1801133 and rs1801131 Polymorphisms and Essential Hypertension Risk: A Comprehensive Analysis by Yingchao Fan, Liting Wu, Wenfang Zhuang

“…Similar associations were also found in subgroups defined by the source of controls and genotype methods. To our regret, based on the limited studies, no association was detected for rs1801131 polymorphism. …”
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The effect of boron mineral on energy metabolism and antioxidant activity in purebred arabian foals by Edanur Güler–Ekmen, İsmail Çağrı Yılmaz, Talat Güler, Derya Güler, Mehtap Özçelik

“… Boron mineral is reported to have important functions in lipid and energy metabolism, immune and endocrine systems, and brain activity, positively affecting performance. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. …”
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Substandard Language Phenomena in Artistic Discourse by Anzhelika V. Korolkova, Tatyana S. Novikova

“…The substandard is currently becoming a source of replenishment of the stylistically reduced layer of modern colloquial speech.…”
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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…It also demonstrated superior screening power compared to virtual screening schemes that used existing scoring functions. This model, named “HERGAI,” along with relevant input/output data and user-friendly source code, is available in our GitHub repository ( https://github.com/vktrannguyen/HERGAI ) and can be used to predict drug-induced hERG blockade, even on large data sets.…”
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Clustering nuclear receptors in liver regeneration identifies candidate modulators of hepatocyte proliferation and hepatocarcinoma. by Michele Vacca, Simona D'Amore, Giusi Graziano, Andria D'Orazio, Marica Cariello, Vittoria Massafra, Lorena Salvatore, Nicola Martelli, Stefania Murzilli, Giuseppe Lo Sasso, Renato Mariani-Costantini, Antonio Moschetta

“…Nuclear receptors (NRs) are key players in the control of cellular functions, being ideal modulators of hepatic proliferation and carcinogenesis.…”
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