Differentiation of mtDNA Methylation in Tissues of Ridgetail White Prawn, <i>Exopalaemon carinicauda</i> by Muchen Jiang, Jiayi Gao, Xinyu Zhou, Hao Zhong, Sichen Zhang, Jing Xu, Fei Yu, Xiaofang Lai, Binlun Yan, Huan Gao

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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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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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Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing by Jing Chen, Lyuzhou Gao, Hongquan Sun, Siquan Yang, Zhonggen Wang, Yuting Wan, Kedi Wang

“…Computing power network (CPN) is designed to utilize multi-dimensional resources to complete computing tasks. However, in practical applications, the CPN architecture has difficulty in coordinating cross-domain heterogeneous resources, making it impossible to achieve the real-time and high scalability requirements of computationally intensive and time-sensitive tasks such as levee piping hazard inspection via remote sensing in emergency scenarios. …”
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Epidemic Process of Haemophilus influenzae Infection in WHO Regions by S. O. Vysokochanskaya, S. Y. Kombarova, R. V. Polibin, A. A. Basov

“…Although Hib infection is classified as vaccine-preventable, WHO and CDC do not post annual incidence information on their resources, unlike other vaccine-preventable infections. …”
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MaPep1 and MbPep1, as plant elicitor peptides in banana, confer resistance to banana blood disease caused by Ralstonia syzygii subsp. celebesensis by Praphat Kawicha, Ladawan Rattanapolsan, Ratri Boonruangrod, Yube Yamaguchi, Kusavadee Sangdee, Aphidech Sangdee, Thanwanit Thanyasiriwat

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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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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…Multimodal neural network systems for analyzing heterogeneous dermatological data, using the proposed optimization algorithms, can be applied as a tool for auxiliary medical diagnostics, which will reduce the consumption of financial and labor resources involved in the medical industry, as well as increase the chance of early detection of pigmentary oncopathologies.…”
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Evaluation of allergenic protein profiles in three Chinese high-oleic acid peanut cultivars using NanoLC-Orbitrap mass spectrometry by Xinke Yang, Haochen Bai, Lijun Yin, Jin Wang, Wentong Xue, Xin Jia

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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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3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering by Taiyin Zhao, Yuehua Yue, Tian Chen, Feng Qian

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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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Influence of Water Immersion on Coal Rocks and Failure Patterns of Underground Coal Pillars Considering Strength Reduction by Haihua Zhu, Peitao Wang, Kewei Zhang, Yijun Gao, Zhenwu Qi, Meifeng Cai

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