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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Robustness of viral load over CD4 cell count in measuring the quality of life of people with HIV at second line regimen in Amhara region by Awoke Seyoum Tegegne

“…Monitoring the quality of life of people under treatment helps to optimize the resource allocated for the program. Therefore, the main objective of the current study was to assess the quality of life comparing viral load and CD4 cell count and factors affecting the variable of interest among HIV-positive people under the second-line regimens. …”
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Transcriptome analysis reveals common and distinct mechanisms for sheepgrass (Leymus chinensis) responses to defoliation compared to mechanical wounding. by Shuangyan Chen, Yueyue Cai, Lexin Zhang, Xueqing Yan, Liqin Cheng, Dongmei Qi, Qingyuan Zhou, Xiaoxia Li, Gongshe Liu

“…Additionally, the distinct DEGs represent a valuable resource for novel gene discovery that may improve plant resistance to defoliation from various processes.…”
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A methodology for quantitatively managing the bug fixing process using Mahalanobis Taguchi system by Boby John, R. S. Kadadevarmath

“…The controlling of bug fixing process during the system testing phase of software development life cycle is very important for fixing all the detected bugs within the scheduled time. The presence of open bugs often delays the release of the software or result in releasing the software with compromised functionalities. …”
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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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New strategies and advancements in the synthesis of metal organic frameworks for PAHs removal by Cong Thanh Nguyen, Edgar N. Tec-Caamal, Arunadevi Natarajan, Nguyen Chi Thanh

“…Globally, the increased urbanization and industrialization lead to a lack of resources and the discharge of harmful/toxic chemicals like polyaromatic hydrocarbons (PAHs) into the environment. …”
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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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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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A Jurisprudential and Legal Inquiry into the Foundations and Limits of the Liability of Manufacturers of Internet of Things Devices by Zahra Sadat Mirhashemi, Fatemeh Najib Zadeh, Moein Gholamalipour

“…The study highlights the necessity of investment in IoT technologies due to their significant societal benefits, such as improvements in healthcare, resource management, and transportation. To maximize these benefits, there must be concerted efforts from both governmental and private sectors to provide financial support and incentives for research and development. …”
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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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Induced Acidic chitinase Expression and Scab-Resistant in Wheat Under Field Condition by S.S. Ramezanpour

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Systematic discovery of linear binding motifs targeting an ancient protein interaction surface on MAP kinases by András Zeke, Tomas Bastys, Anita Alexa, Ágnes Garai, Bálint Mészáros, Klára Kirsch, Zsuzsanna Dosztányi, Olga V Kalinina, Attila Reményi

“…We used a structurally consistent model on kinase‐docking motif interactions to facilitate the discovery of short functional sites in the structurally flexible and functionally under‐explored part of the human proteome and applied experimental tools specifically tailored to detect low‐affinity protein–protein interactions for their validation in vitro and in cell‐based assays. …”
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Faunistic analysis of insects of Deva Vatala National Park and agroecosystem of Gujrat Pakistan by Muhammad Umar, Mubashar Hussain

“… Insect biodiversity drives ecological functioning and provides ecosystem services in different landscapes. …”
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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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Cerebrospinal fluid CD4+ T cell infection in humans and macaques during acute HIV-1 and SHIV infection. by Vishakha Sharma, Matthew Creegan, Andrey Tokarev, Denise Hsu, Bonnie M Slike, Carlo Sacdalan, Phillip Chan, Serena Spudich, Jintanat Ananworanich, Michael A Eller, Shelly J Krebs, Sandhya Vasan, Diane L Bolton, RV254/SEARCH010 and RV304/SEARCH013 Study Teams

“…HIV-1 replication within the central nervous system (CNS) impairs neurocognitive function and has the potential to establish persistent, compartmentalized viral reservoirs. …”
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