Modified energy-based GAN for intensity in homogeneity correction in brain MR images by Yepuganti Karuna, Neelam Syamala, C. V. Ravikumar, Pooja Thakur, Saritha Saladi

“…This method uses reconstruction error in the discriminator architecture to save energy by altering the cost function. The generator’s performance is also improved by this reconstruction error. …”
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Patients with Papillary Renal Cancer and Germline Duplication of <i>MET</i> Exons 5-21 by Dmitry S. Mikhaylenko, Natalya B. Kuryakova, Fatima M. Bostanova, Viktoria V. Zabnenkova, Oksana P. Ryzhkova, Ilya V. Volodin, Dmitry V. Zaletaev, Dmitry V. Pustoshilov, Sergey I. Kutsev, Vladimir V. Strelnikov

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Mass transpiration impact on effectiveness of heat transport of ternary hybrid nanofluid with velocity slip by S. Bilal, Muhammad Yasir

“…Some potential applications are in polymer processing, fiber production, power generation, refrigeration, aircraft design, and many more. …”
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Enhancing inertia in parallel VSGs: A power distribution strategy with washout filtering and adaptive virtual impedance by Kali Charan Pradhan, Kanungo Barada Mohanty

“…This improves high-frequency control, which is crucial for maintaining system stability, and enables the system to react to high-frequency shocks more successfully. This technique enhances the system's ability to provide more precise and prompt control during fleeting events, such as malfunctions or sudden changes in generation or demand. …”
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AI Response Quality in Public Services: Temperature Settings and Contextual Factors by Domenico Trezza, Giuseppe Luca De Luca Picione, Carmine Sergianni

“…Investigating these “behind-the-scenes” dynamics is essential for fostering the <i>informed governance</i> of AI in public services, and for avoiding the risk of technology functioning as an opaque <i>black box</i> within decision-making processes.…”
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MAP: Mutation Arranger for Defining Phenotype-Related Single-Nucleotide Variant by In-Pyo Baek, Yong-Bok Jeong, Seung-Hyun Jung, Yeun-Jun Chung

“…MAP is a user-friendly program with multiple functions that supports the determination of recurrent or phenotype-specific mutations and provides graphic illustration images to the users. …”
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Optimized chemical labeling method for isolation of 8-oxoG-modified RNA, ChLoRox-Seq, identifies mRNAs enriched in oxidation and transcriptome-wide distribution biases of oxidation... by Matthew R. Burroughs, Philip J. Sweet, Lydia M. Contreras

“…Building on a previously published method for studying 8-oxoG in DNA, we developed ChLoRox-Seq, which works by covalently functionalizing 8-oxoG sites in RNA with biotin. Importantly, this method enables antibody-free enrichment of 8-oxoG-containing RNA fragments for Next Generation Sequencing-based detection of modified regions transcriptome-wide. …”
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An Effective Tree-Structured AI Model for Reducing Overhead of Life Cycle Management in Wireless Communication by Yingshuang Bai, Zhaohui Huang, Chen Sun, Yujie Zhang, Tao Cui, Samuel Atungsiri

“…This model can be used in scenarios where multiple models serve the same functionality by merging similar structures, thereby saving storage space, and making the processes of model switching, expansion, and deletion more effective. …”
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Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets by G. Madhu Mohan, T. Anil Kumar, A. Srujana, Yasser Fouad, Alexey Mikhaylov, Nora Baranyai, Kitmo, Ch. Rami Reddy

“…The independent system operator (ISO) is responsible for implementing appropriate measures to mitigate congestion and ensure the proper functioning of the power market. This study utilized generation rescheduling (GR) to address congestion in spot or day-ahead power markets. …”
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BioImpedance Spectroscopy to maintain Renal Output: the BISTRO randomised controlled trial by Simon J Davies, David Coyle, Elizabeth Lindley, David Keane, John Belcher, Fergus Caskey, Indranil Dasgupta, Andrew Davenport, Ken Farrington, Sandip Mitra, Paula Ormandy, Martin Wilkie, Jamie MacDonald, Mandana Zanganeh, Lazaros Andronis, Ivonne Solis-Trapala, Julius Sim

“…A post hoc 5-year analysis found better survival with more residual kidney function at enrolment and at any time over the next 2 years. …”
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Unveiling the regulatory potential of the non-coding genome: Insights from the human genome project to precision medicine by Paola Ruffo, Bryan J. Traynor, Francesca Luisa Conforti

“…This review explores the legacy of the HGP and subsequent advancements in genomic technologies, particularly next-generation sequencing, which have enabled more profound insights into the non-coding genome's role in gene regulation. …”
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p17 Variant Expression and Evolution in HIV-Mediated Lymphomagenesis by Nicoleta Arnaut, Mark Slevin, Claudia Bănescu, Mihaela Straistă, Arnaldo Caruso, Francesca Caccuri

“…Alterations in the primary aa sequences destabilize the protein, exposing a previously hidden functional epitope which interacts with protease-activated receptor-1 (PAR-1) and stimulates the protein kinase B pathway, conferring oncogenic potential to vp17s and possibly contributing to lymphomagenesis. …”
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Innovative Approaches to Sustainable Urban Planning: Analysing Current Trends by Meruyert Baidrakhmanova, Gani Karabayev, Seimur Mamedov

“…Artificial intelligence facilitates urban planning through data analysis and pattern recognition, while generative adversarial networks and transformers improve design and data processing functionalities. …”
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Phygitalization of educational technologies in Russia: directions, examples, problems by Andrey I. Kapterev

“…Results. 1) The main directions of phygitalization of educational technologies are analyzed: a) use of teachers’ personal websites, b) the development of virtual laboratories, c) the use of generative language models of artificial intelligence.; 2) the importance of each component is analyzed and examples of how they can be implemented in practice are given, the main problems are discussed and potential solutions are proposed; 3) an overview of the main functions of the phygitalization of educational technologies is presented, including the definition of this trend, characteristics and main problems; 4) the main methods and tools used in the phygitalization of educational technologies are discussed; 5) the most promising areas of research in this field are determined. …”
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Research on Welfare Robots: A Multifunctional Assistive Robot and Human–Machine System by Shuoyu Wang

“…This paper proposes a method for constructing a human–machine system for welfare robots that includes the estimation of the user’s work intention, a measurement of riding comfort, and motion generation. Furthermore, various types of welfare equipment for people with walking disabilities have been developed, but most of them have a single function. …”
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Antenna systems for IoT applications: a review by Sunawar Khan, Tehseen Mazhar, Tariq Shahzad, Afsha Bibi, Wasim Ahmad, Muhammad Amir Khan, Mamoon M. Saeed, Habib Hamam

“…For the growing range of IoT applications, this research suggests more flexible and reconfigurable antennas that can function across numerous frequency bands. …”
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Metagenome Analysis Identified Novel Microbial Diversity of Sandy Soils Surrounded by Natural Lakes and Artificial Water Points in King Salman Bin Abdulaziz Royal Natural Reserve,... by Yahya S. Al-Awthan, Rashid Mir, Fuad A. Alatawi, Abdulaziz S. Alatawi, Fahad M. Almutairi, Tamer Khafaga, Wael M. Shohdi, Amal M. Fakhry, Basmah M. Alharbi

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Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

“…Experiments on three standard benchmarks show consistent gains in functional correctness (pass@1/3/5) over conventional fine-tuning, yielding feedback that is both more accurate and easier for students to interpret. …”
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A study on land use change simulation based on PLUS model and the U-net structure: A case study of Jilin Province by Jiafu Liu, Xiangli Kong, Yue Zhu, Baihao Zhang

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Flame Combustion State Detection Method of Cement Rotary Furnace Based on Improved RE-DDPM and DAF-FasterNet by Yizhuo Zhang, Zixuan Gu, Huiling Yu, Shen Shi

“…The RE-DDPM method exhibits faster convergence and lower FID scores, indicating that the generated images are more realistic. DAF-FasterNet achieves 98.9% training accuracy, 98.1% test accuracy, and a 22.3 ms delay, making it superior to existing methods in flame state recognition.…”
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