Pathoadaptive Mutations of Escherichia coli K1 in Experimental Neonatal Systemic Infection. by Alex J McCarthy, David Negus, Patricia Martin, Catarina Pechincha, Eric Oswald, Richard A Stabler, Peter W Taylor

“…Only four single nucleotide polymorphisms (SNPs), in genes (gloB, yjgV, tdcE) or promoters (thrA) involved in metabolic functions, were found: no changes were detected in genes encoding virulence determinants associated with the invasive potential of E. coli K1. …”
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Diversity and composition of sponge-associated microbiomes from Korean sponges revealed by full-length 16S rRNA analysis by Myoung-Sook Shin, Inho Yang, Weihong Wang, Hiyoung Kim

“…Our integrative, high-resolution approach not only uncovers remarkable taxonomic and functional diversity, but also provides a valuable genetic resource for future marine natural-product discovery and advances ecological restoration efforts.…”
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Genome-wide association mapping identifies a new arsenate reductase enzyme critical for limiting arsenic accumulation in plants. by Dai-Yin Chao, Yi Chen, Jiugeng Chen, Shulin Shi, Ziru Chen, Chengcheng Wang, John M Danku, Fang-Jie Zhao, David E Salt

“…Complementation verified the identity of HAC1, and expression in Escherichia coli lacking a functional arsenate reductase confirmed the arsenate reductase activity of HAC1. …”
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Investigation of the Application of Machine Learning Algorithms in Credit Risk Assessment of Medium and Micro Enterprises by Yujie Zhao

“…Thus, this proposed method achieves 14.65% high-risk detection with 5.56% financial revisions for the industry considered by the data source.…”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…ConclusionsIn clinical practice, our tool would enable the automated monitoring and detection of risk points throughout all clinical trial stages; accurately identify the most relevant trial procedure and function line; and notify quality management personnel, in real time, to take prompt actions and dynamically prevent the recurrence of quality issues.…”
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Research review of digital modeling technologies with 3D spatial visualization for pipelines by Xin LIU, Shengwen TU, Yanfang HOU, Dong LIN, Jie SHU, Yu TANG

“…These developments have resulted in more comprehensive functionalities for visualization systems and improved operational and maintenance efficiency. …”
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Application of Artificial Intelligence in Acute Ischemic Stroke: A Scoping Review by JoonNyung Heo

“…Outcome prediction, the most explored category, includes studies predicting functional outcomes, mortality, and recurrence, often achieving high accuracy and outperforming traditional methods. …”
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Genomic Analysis of Two Histamine-Producing Strains Isolated from Yellowfin Tuna by Yazhe Wang, Di Wang, Shengjun Chen, Gang Yu, Zhenhua Ma, Ya Wei, Chunsheng Li, Yueqi Wang, Chaoming Shen, Yongqiang Zhao

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Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…The classification responses are also smoothened by manifolds of both the source domain and proxy space. By minimizing an objective function of SMI, classification error, and manifold regularization, we learn the convolutional networks of both source and target domains. …”
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Current trends in neurocritical care: a comprehensive review by Vinothini Murugaiyan, Kingston Samraj Kirubakaran Jebaraj, Srinivas Kalaiselvan

“…Continuous neuromonitoring using tools like electroencephalogram and intracranial pressure monitoring offers real-time data on brain function, aiding in the early detection of complications. …”
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Operational monitoring of acoustic sensor networks by V. A. Boltenkov, G. Kh. M. Al-Jasri

“…Both of them are based on the placement of the test sound source within a network. The signal processing for ASN sensors had to detect the failed element. …”
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Involvement of transposable elements in neurogenesis by R. N. Mustafin, E. K. Khusnutdinova

“…Significant activity of long non-coding RNA was detected in the hippocampus, which confirms the role of transposons in the regulation of brain function. …”
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Data curation of extracellular enzyme activity spectrophotometric or fluorometric data by Niels Gudmand Christiansen, Paul Iturbe-Espinoza, Rumakanta Sapkota, Anne Winding

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Discovery of a new subgroup of sulfur dioxygenases and characterization of sulfur dioxygenases in the sulfur metabolic network of Acidithiobacillus caldus. by Wei Wu, Xin Pang, Jianqiang Lin, Xiangmei Liu, Rui Wang, Jianqun Lin, Linxu Chen

“…We cloned and expressed these genes, and detected the SDO activity of recombinant protein A5904_0421 by a GSH-dependent in vitro assay. …”
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Biochemical, nutritional, and nutraceutical properties of cactus pear accessions by Yazgan Tunç, Mehmet Yaman, Kadir Uğurtan Yılmaz, Ali Khadivi, Daya Shankar Mishra

“…These findings contribute valuable insights for the conservation and utilization of wild cactus pear genetic resources, supporting the development of functional food products and sustainable cultivation strategies in Mediterranean climates.…”
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Thermomechanical and Photophysical Properties of Crystal-Violet-Dye/H2O Based Dissolutions via the Pulsed Laser Photoacoustic Technique by Vicente Torres-Zúñiga, Rosalba Castañeda-Guzmán, Santiago J. Pérez-Ruiz, Omar G. Morales-Saavedra

“…An appropriate processing of the photoacoustic signals allows an adequate data analysis of the generated waves within the system, providing an accurate determination of the speed of sound as function of the dye-concentration. The acoustic attenuation was calculated based on the distance of the two PZT-microphones to an acoustic-source point and performing linear-fitting of the experimental data (RMS-amplitudes) as function of the dye-concentration. …”
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Texture-preserving and information loss minimization method for infrared and visible image fusion by Qiyuan He, Yongdong Huang

“…TPFusion consists of the following key components: a multi-scale feature extraction module for enhancing the capability of capturing features; a texture enhancement module and contrast enhancement module, which helps to preserve fine-grained textures and extract salient contours and contrast information; a dual-attention fusion module for fusing the features extracted from the source images; an information content based loss function minimizing the feature discrepancy between the fused images and the source images and effectively reducing the information loss. …”
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Screening of anomalies in a double-stranded DNA via global electrical measurements by Sourav Kundu

“…We conduct two-terminal charge transport calculations to detect biological defects in three types of DNA sequences: periodic, quasi-periodic and random. …”
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Semi-Automated Dataset Generation for Residential Buildings Using Graph-Based Topological Modelling by Angelo Massafra, Dania H. Al-Harasis, Lorenzo Stefanini, Wassim Jabi

“…The resulting dataset facilitates the analysis of floor spatial configurations and the extraction of geometric attributes, laying the foundation for future analyses that will integrate machine learning techniques for functional detection and typological clustering.…”
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Image-based soft drink type classification and dietary assessment system using deep convolutional neural network with transfer learning by Rubaiya Hafiz, Mohammad Reduanul Haque, Aniruddha Rakshit, Mohammad Shorif Uddin

“…To perform experimentation a dataset is built containing ten most consumed soft drinks in Bangladesh using images from the ImageNet dataset, internet sources and also self-capturing. The experiment confirms that our system can detect and recognize different types of drinks with an accuracy of 98.51%.…”
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