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  1. 1841

    Type 1 diabetes prevention clinical trial simulator: Case reports of model‐informed drug development tool by Juan Francisco Morales, Marian Klose, Yannick Hoffert, Jagdeep T. Podichetty, Jackson Burton, Stephan Schmidt, Klaus Romero, Inish O'Doherty, Frank Martin, Martha Campbell‐Thompson, Michael J. Haller, Mark A. Atkinson, Sarah Kim

    Published 2024-08-01
    “…We then applied trial‐specific inclusion/exclusion criteria, sample sizes in treatment and placebo arms, trial duration, assessment interval, and dropout rate. We implemented a function for presumed drug effects. To increase the size of the population pool, we generated virtual populations using multivariate normal distribution and ctree machine learning algorithms. …”
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  2. 1842
  3. 1843

    SsDiHal: discovery and engineering of a novel tryptophan dihalogenase by Hassan Sher, Haley Hardtke, Wenzhu Tang, Jie Ren, Hayat Ullah, Xudong Zhou, Y. Jessie Zhang, Jixun Zhan

    Published 2025-07-01
    “…Abstract Background Halogenation plays a crucial role in enhancing the properties of small molecules, particularly by making them more effective for applications in agrochemicals and pharmaceuticals. …”
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  4. 1844

    Evaluation of inhibitory efficacy of plantaricin JK against NSP1 from SARS-CoV-2 by in silico methods by Manisha Mandal, Shyamapada Mandal

    Published 2025-06-01
    “…NSP1 (non-structural protein-1) of SARS-CoV-2 acts as a host translation inhibitor and reduces host immune function, thereby increasing viral pathogenicity and virulence. …”
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  5. 1845

    The Use of Autologous Bone Graft vs Allograft Viable Cell Matrix in Forefoot, Midfoot, and Hindfoot Fusion by John O'Keefe MD, Sarah Hall BA, Chase Gauthier MD, Christopher Toussaint MD, Edward Haupt MD, J. Benjamin Jackson MD, MBA, Tyler Gonzalez MD, MBA

    Published 2025-03-01
    “…Allograft may be useful as an alternative to autograft given its high accessibility and lack of harvesting complications. Newer generation allograft mixtures containing osteoconductive, osteoinductive and osteogenic factors which may have similar or even higher rates of success compared to older generations of allograft. …”
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  6. 1846

    Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

    Published 2025-01-01
    “…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
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  7. 1847

    Análisis de imágenes mediante el método de los momentos usando funciones de base continuas a intervalos (PCBF) by Sergio Domínguez

    Published 2015-01-01
    “…Abstract: Invariants generated departing from moments, previously extracted from an image, appear frequently in the bibliography as one of the most powerful means of describing images, and more precisely shapes. …”
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  8. 1848

    Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

    Published 2025-01-01
    “…The FATA algorithm is evaluated against recently developed and improved optimization techniques, such as rime-ice formation phenomenon based Improved RIME (IRIME) Algorithm, Newton–Raphson-Based Optimization (NRBO), Resistance Capacitance Algorithm (RCA), Krill Optimization Algorithm (KOA), and Grey Wolf Optimizer (GWO), across multiple optimization objectives: reduction in generation cost, reduction in power loss and combined generation cost plus power loss, termed as Gross cost function. …”
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  9. 1849

    AlphaBind, a domain-specific model to predict and optimize antibody–antigen binding affinity by Aditya A. Agarwal, James Harrang, David Noble, Kerry L. McGowan, Adrian W. Lange, Emily Engelhart, Miranda C. Lahman, Jeffrey Adamo, Xin Yu, Oliver Serang, Kyle J. Minch, Kimberly Y. Wellman, David A. Younger, Randolph M. Lopez, Ryan O. Emerson

    Published 2025-12-01
    “…Recent advances in deep learning provide opportunities to address this challenge by learning sequence–function relationships to accurately predict fitness landscapes. …”
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  10. 1850

    Leveraging Large Language Models for Predicting Postoperative Acute Kidney Injury in Elderly Patients by Hanfei Zhu, Ruojiang Wang, Jiajie Qian, Yuhao Wu, Zhuqing Jin, Xishen Shan, Fuhai Ji, Zixuan Yuan, Tingrui Pan

    Published 2025-01-01
    “…Introduction: AKI is a severe postoperative complication, especially in elderly patients with declining renal function. Current AKI prediction models rely on ML, but their lack of interpretability and generalizability limits clinical use. …”
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  11. 1851
  12. 1852

    A 30 m Global Flood Inundation Model for Any Climate Scenario by Oliver E. J. Wing, Paul D. Bates, Niall D. Quinn, James T. S. Savage, Peter F. Uhe, Anthony Cooper, Thomas P. Collings, Nans Addor, Natalie S. Lord, Simbi Hatchard, Jannis M. Hoch, Joe Bates, Izzy Probyn, Sam Himsworth, Josué Rodríguez González, Malcolm P. Brine, Hamish Wilkinson, Christopher C. Sampson, Andrew M. Smith, Jeffrey C. Neal, Ivan D. Haigh

    Published 2024-08-01
    “…Abstract Global flood mapping has developed rapidly over the past decade, but previous approaches have limited scope, function, and accuracy. These limitations restrict the applicability and fundamental science questions that can be answered with existing model frameworks. …”
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  13. 1853

    State Estimation in Power Systems Under Random Data Attack Using Correlation Matching, Semidefinite Relaxation, and Truncated Eigenvalue Decomposition by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

    Published 2025-01-01
    “…Such kind of perturbation could be targeted at any domain of a smart grid from household customers to bulk generation, leading to network failures and power disruption. …”
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  14. 1854

    Ta-YOLO: overcoming target blocked challenges in greenhouse tomato detection and counting by Yun Zhao, Yijia Chen, Xing Xu, Yong He, Hao Gan, Na Wu, Zhechen Wang, Xi Sun, Yali Wang, Petr Skobelev, Yanan Mi

    Published 2025-07-01
    “…To further enhance the model’s focus on relevant information and improve its ability to recognize small targets, we designed a multi-dimensional attention structure(CSAM) that generated feature maps with more valuable information. …”
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  15. 1855

    A highly conserved sRNA downregulates multiple genes, including a σ54 transcriptional activator, in the virulence mode of Bordetella pertussis by Minji Sim, Jeffers Nguyen, Karolína Škopová, Kyungyoon Yoo, Chin-Hsien Tai, Leslie Knipling, Qing Chen, David Kim, Summer Nolan, Rawan Elaksher, Nadim Majdalani, Hernan Lorenzi, Scott Stibitz, Kyung Moon, Deborah M. Hinton

    Published 2025-08-01
    “…We show that transcription from a σA-dependent promoter yields a long form of 190 nucleotides (nt) that is processed by RNase E to generate a shorter, more stable form (BpsA-S) of 67 nt. …”
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  16. 1856

    A secure and efficient user selection scheme in vehicular crowdsensing by Min Zhang, Qing Ye, Zhimin Yuan, Kaihuan Deng

    Published 2025-05-01
    “…To protect user privacy, pseudonyms are generated to achieve user anonymity while ensuring traceability. …”
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  17. 1857
  18. 1858

    P300 ERP System Utilizing Wireless Visual Stimulus Presentation Devices by Yuta Sasatake, Kojiro Matsushita

    Published 2025-06-01
    “…These findings demonstrate that the system can function as a P300 speller and be utilized as an interface equivalent to conventional display-based methods.…”
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  19. 1859

    Transcriptional Profiling Underscores the Role of Preprocurement Allograft Metabolism and Innate Immune Status on Outcomes in Human Liver Transplantation by Joohyun Kim, MD, PhD, Michael T. Zimmermann, PhD, Angela J. Mathison, PhD, Gwen Lomberk, PhD, Raul Urrutia, MD, Johnny C. Hong, MD

    Published 2024-06-01
    “…We performed liver allograft biopsies at 4 time points: baseline (B, before donor cross-clamp), at the end of cold ischemia (CI), during early reperfusion (ER, after revascularization), and during late reperfusion (LR). Data were generated and then recipients grouped by post-OLT outcomes categories: immediate allograft function (IAF; n = 11) versus early allograft dysfunction (EAD; n = 6) groups. …”
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  20. 1860

    Sequence-based GWAS in 180,000 German Holstein cattle reveals new candidate variants for milk production traits by Ana-Marija Križanac, Christian Reimer, Johannes Heise, Zengting Liu, Jennie E. Pryce, Jörn Bennewitz, Georg Thaller, Clemens Falker-Gieske, Jens Tetens

    Published 2025-02-01
    “…With constantly growing sample sizes, we expect more insights into the genetic architecture of milk production traits in the future.…”
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