Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

“…By integrating the predictive power of computational models and the data‐driven insights of AI, the synergy between these approaches has the potential to accelerate drug discovery, optimize treatment strategies, and usher in a new era of personalized medicine, benefiting patients, researchers, and the pharmaceutical industry as a whole.…”
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Optimum Solutions of Fractional Order Zakharov–Kuznetsov Equations by Rashid Nawaz, Laiq Zada, Abraiz Khattak, Muhammad Jibran, Adam Khan

“…In this paper, the Optimal Homotopy Asymptotic Method is extended to derive the approximate solutions of fractional order two-dimensional partial differential equations. …”
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Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment by SONG Yao, SONG Ping, GAO Wei, LIU Shu, HUO Zhisheng

“…The usage of computing, network, and storage resources in the computing power network are comprehensively analyzed, and the strategies are collaboratively implemented to optimized the global utilization of resources. The experimental results indicate that the proposed method can effectively improve the system throughput while optimizing the global data migration cost compared with the existing methods.…”
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Highly adaptive Lasso for estimation of heterogeneous treatment effects and treatment recommendation by Nizam Sohail, Codi Allison, Rogawski McQuade Elizabeth, Benkeser David

“…However, few of these methods are interpretable, while those that do emphasize interpretability often suffer in terms of performance. …”
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RoadDiffBox: Automatic Road Distress Diagnosis through Controlled Image Generation and Semi-Supervised Learning by Yuanyuan Hu, Ning Chen, Hancheng Zhang, Yue Hou, Pengfei Liu

“…The framework addresses dataset imbalances through class control and accelerates image generation by utilizing the denoising diffusion implicit model’s reverse process sampling method, while employing knowledge distillation techniques optimized for resource-constrained mobile devices. …”
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Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning by Arvi Jonnarth, Ola Johansson, Jie Zhao, Michael Felsberg

“…Coverage path planning (CPP) is the problem of finding a path that covers the entire free space of a confined area, with applications ranging from robotic lawn mowing to search-and-rescue. While for known environments, offline methods can find provably complete paths, and in some cases optimal solutions, unknown environments need to be planned online during mapping. …”
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Reducing time and computing costs in EC-Earth: an automatic load-balancing approach for coupled Earth system models by S. Palomas, M. C. Acosta, G. Utrera, E. Tourigny

“…This metric is intended for scenarios where optimality can depend on various criteria and constraints. …”
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Independent Component Analysis-Based Composite Drought Index Development for Hydrometeorological Analysis by Yejin Kong, Joo-Heon Lee, Taesam Lee

“…The ICDI was derived by extracting optimal weights for each drought index through ICA, leveraging the optimization of non-Gaussianity. …”
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The relationship between carotenoids and diabetic nephropathy: insights from NHANES by Lei Wang, Tianpu Feng, Ye Tan, Jue Zhang, Ting Zhang, Juan Huo, XiaoXue Song, Xi Lin, Man Li, Wenxue Liang, Qun Ding

“…Model 1 included 25,483 participants, while Model 2 comprised retained 13,271 participants after further adjustment for covariates (demographic characteristics, lifestyle factors, clinical indicators, and socioeconomic parameters). …”
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Influence of Differentiated Tolling Strategies on Route Choice Behavior of Heterogeneous Highway Users by Xinyu Dong, Yuekai Zeng, Ruyi Luo, Nengchao Lyu, Da Xu, Xincong Zhou

“…Furthermore, the willingness to consider alternative travel routes is significantly influenced by factors such as gender, age, driving experience, vehicle type, travel time, travel distance, payment method, and past differential toll experiences. The results of this study provide valuable insights for highway managers to establish optimal toll rates and implement dynamic flow regulation strategies while also guiding users in selecting appropriate driving routes.…”
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Índices de vegetação no milho em função da hora do dia e da taxa de nitrogênio aplicada Vegetation indices in the maize as a function of hour of the day and the applied rate of nit... by Eduardo G. Souza, Teoferson Rocha, Miguel A. Uribe-Opazo, Lúcia H. P. Nóbrega

“…For data collected during the whole day the indexes that presented better explanation of the variability were SAVI and OSAVI.…”
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Baicalein as a potent antifungal agent against Candida albicans: synergy with fluconazole and sustainable production through probiotic-mediated bioconversion by Hang Zhai, Jialing Zeng, Xiaonan Ma, Fuju Wang, Wei Xu, Ming Song, Weizhuo Xu

“…Given the restricted natural accessibility of baicalein, Lactobacillus rhamnosus has been identified as a microbial agent capable of converting baicalin to baicalein via whole-cell catalysis. This process has been shown to achieve a molar yield of 66% at a substrate concentration of 4 g/L under optimized conditions. …”
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Effectiveness of Different Beer Types in Slug Trapping: A Two-Year Field Study on <i>Arion vulgaris</i> Moquin-Tandon and <i>Limax maximus</i> L. by Žiga Laznik, Stanislav Trdan, Miha Ocvirk, Iztok Jože Košir

“…Environmental factors influenced slug activity, with higher temperatures correlating with increased slug capture rates, while precipitation had no significant effect. These findings highlight the role of fermentation-derived volatile compounds in slug attraction and suggest that optimizing beer traps based on beer composition and environmental conditions could improve their effectiveness as a non-chemical slug control method. …”
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18F-FDG positron emission tomography in the diagnosis and staging of marginal zone non-Hodgkin lymphomas by M. M. Khodzhibekova, L. A. Tyutin, N. A. Kostenikov, N. V. Il’in, Yu. N. Vinogradova

“…Disease staging by PET and other diagnostic methods yielded  contradictory results in three patients. …”
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Advances in the diagnosis and treatment of congenital scoliosis by Zhiming Peng, Haoran Zhang, Shengru Wang, Jianguo Zhang

“…Diagnosis incorporates advanced imaging techniques—such as X-rays, magnetic resonance imaging (MRI), and computed tomography (CT)—as well as genetic testing, with whole-exome sequencing identifying mutations in 18.6% of cases. …”
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Investigation of the influence of fermentation conditions on the content of biologically active substances of the phenolic complex in young red wines by L. V. Gnetko, L. P. Nerovnykh, Kh. R. Siyukhov, G. Yu. Arutyunova

“…Carrying out carbon dioxide maceration of whole bunches of grapes under conditions of anaerobiosis has contributed to the preservation of biologically active substances in wine, including vitamins, stilbenes, phenolcarboxylic acids.…”
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GHFormer-Net: Towards more accurate small green apple/begonia fruit detection in the nighttime by Meili Sun, Liancheng Xu, Rong Luo, Yuqi Lu, Weikuan Jia

“…The accurate recognition of green fruit is of great significance for the automatic monitoring of the whole process of orchard growth, fruit harvesting, and yield estimation. …”
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A novel approach of drowsiness levels detection using Vis-Net combined with facial emotion by Thuong-Cang Phan, Anh-Cang Phan, Ngoc-Hoang-Quyen Nguyen

“…Drowsiness while driving is a critical global issue, endangering not only drivers but also other road users. …”
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Securing fruit trees future: AI-driven early warning and predictive systems for abiotic stress in changing climate by Muhammad Ahtasham Mushtaq, Muhammad Ateeq, Muhammad Ikram, Shariq Mahmood Alam, Muhammad Mohsin Kaleem, Muhammad Atiq Ashraf, Muhammad Asim, Khalid F. Almutairi, Mahmoud F. Seleiman, Fareeha Shireen

“…AI integrated approaches such as stress prediction, irrigation optimization, and image-based phenotyping have enhanced agriculture, while machine learning models like Random Forest and Gradient Boosting improve stress management. …”
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Optimasi Learning Rate Neural Network Backpropagation Dengan Search Direction Conjugate Gradient Pada Electrocardiogram by Azwar Riza Habibi, Vivi Aida Fitria, Lukman Hakim

“…The modification of this method is in defining the direction of linear search. …”
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