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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Soil pollution and remediation: emerging challenges and innovations by Hao Chen, Bin Gao, Yuncong Li

“…These pollutants pose severe risks to environmental health and agricultural productivity by altering soil functionality and contaminant mobility. This perspective summarizes innovative monitoring and remediation technologies, including advanced sensors and bioremediation strategies, that enable real-time detection and effective management of soil pollutants. …”
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Identification of Genomic Variants and Candidate Genes for Reproductive Traits and Growth Traits in Pishan Red Sheep Using Whole-Genome Resequencing by Maimaitijiang Muhetapa, Mengting Zhu, Aladaer Qi, Sulaiman Yiming

“…Through selective sweep analysis, 92 genomic regions under selection were detected, containing 90 positional candidate genes significantly associated with growth, reproduction, and immune functions. …”
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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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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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Enhanced recovery pathway for older people with hip fracture and cognitive impairment in acute hospitals: the PERFECTED research programme including an RCT by Chris Fox, Simon P Hammond, Lee Shepstone, Fiona Poland, Catherine Henderson, Tamara Backhouse, Bridget Penhale, Simon Donell, Martin Knapp, Douglas Lewins, Alasdair MacLullich, Martyn Patel, Opinder Sahota, Toby O Smith, Justin Waring, Jane L Cross

“…In the 12 months after fracture, patients are at increased risk of cognitive and functional decline, admission to long-term care institutions and higher mortality. …”
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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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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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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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Explainable artificial intelligence of DNA methylation-based brain tumor diagnostics by Salvatore Benfatto, Martin Sill, David T. W. Jones, Stefan M. Pfister, Felix Sahm, Andreas von Deimling, David Capper, Volker Hovestadt

“…Here, we describe an interpretable framework to explain the classifier’s decisions. We show that functional genomic regions of various sizes are predominantly employed to distinguish between different tumor classes, ranging from enhancers and CpG islands to large-scale heterochromatic domains. …”
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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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Regeneration of Two-Walled Infrabony Periodontal Defects in Swine After Buccal Fat Pad-Derived Dedifferentiated Fat Cell Autologous Transplantation by Daisuke Akita, Naoki Tsukimura, Tomohiko Kazama, Rie Takahashi, Yoshiki Taniguchi, Jin Inoue, Ayana Suzuki, Nodoka Tanabe, Keisuke Seki, Yoshinori Arai, Masatake Asano, Shuichi Sato, Yoshiyuki Hagiwara, Koichiro Kano, Masaki Honda, Taro Matsumoto

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Nutritional Components and Strong Antioxidant Components of Finger Millet (Eleusine coracana (L.) Gaertn.) by LIU Jiamin, WANG Sainan, CHEN Danni, SONG Kerong, LI Kangyuan, CHEN Liping, WANG Jiawei, CAO Yong, XIAO Suyao

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Seasonal soil health dynamics in soy-wheat relay intercropping by Jennifer B. Thompson, Thomas F. Döring, Timothy M. Bowles, Steffen Kolb, Sonoko D. Bellingrath-Kimura, Moritz Reckling

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