A crosslinked eutectogel for ultrasensitive pressure and temperature monitoring from nostril airflow by Tao Liu, Qinan Wu, Huansheng Liu, Xiyang Zhao, Xin Yi, Jing Liu, Zhenzhen Nong, Bingpu Zhou, Qingwen Wang, Zhenzhen Liu

“…However, the developed methods only rely on single stimulus sensing for nostril airflow, which is extremely susceptible to interference in the complex environment, and severely affects the accuracy of detection results. …”
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A Deep Learning Enabled Chest X-Ray Abnormality Detection Model for Radiology Assistance. by Ssempeebwa, Phillip, Ainembabazi, Patience

“…., 2021). Traditional methods of interpretation rely heavily on manual inspection, which can be time-consuming and prone to human error. …”
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InVDriver: Intra-instance aware vectorized query-based autonomous driving transformer by Bo Zhang, Heye Huang, Chunyang Liu, Yaqin Zhang, Zhenhua Xu

“…The experimental results on the nuScenes benchmark demonstrate that InVDriver achieves state-of-the-art performance, surpassing prior methods in both accuracy and safety, while maintaining high computational efficiency.…”
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New strategies of beneficial development of in-situ combustion in nearly abandoned heavy oil reservoirs by ZHENG Yiqiong, ZHANG Tao, LIU Haiying, RUAN Conghui, ZOU Shuai

“…The findings reveal significant gaps in pre- and post-operation understanding of the reservoir, where inputs often surpass outputs, coupled with a lack of clear control strategies. …”
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Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management by Chenxi Wang, Chenxi Wang, Xinyue Yuan, Wei Jing

“…Key advancements include enhanced precision, efficiency, and capabilities for multimodal data fusion and personalized diagnosis. …”
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Chance-constrained optimal schedule of battery energy storage considering the uncertainties of renewable generation by Zhi Li, Dawei Xie, Haifeng Ye, Yujun Li, Jinzhong Li, Yichi Chen, Yue Yang

“…Chance constraints are incorporated into the dispatch model to enhance system security while ensuring sufficient reserve capacity to mitigate fluctuations in the RES outputs. Furthermore, these constraints are transformed into their deterministic equivalents using quantile-based methods. …”
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The role of generative AI tools in case-based learning and teaching evaluation of medical biochemistry by Liang Li, Weiwei Zhang, Kun Zhang, Yuhan Yang, Lan Wang, Luo Zuo, Yiran Sun, Quekun Peng

“…Traditional teaching methods often fail to meet students’ needs for in-depth understanding and personalized learning. …”
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Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2 by Ayan Acharyya, Molly S. Peeples, Jason Tumlinson, Brian W. O’Shea, Cassandra Lochhaas, Anna C. Wright, Raymond C. Simons, Ramona Augustin, Britton D. Smith, Eugene Hyeonmin Lee

“…Because of these geometric and stochastic complications, we explore nonparametric methods of quantifying the evolving metallicity distribution at z  > 1. …”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…This shift requires professionals to acquire new skills, including critical evaluation and validation of AI outputs, prompt engineering, and the integration of AI-generated insights into complex decision-making. …”
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Ancient Javanese Manuscript Reconstruction Using Generative Adversarial Network with StarGAN v2 Variations by Kukuh Cokro Wibowo, Fitri Damayanti, Fanky Abdilqoyyim

“…The primary objective of this research is to assist philologists in reconstructing damaged manuscripts more efficiently, reducing the time and effort compared to manual reconstruction methods. …”
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MM-HGNN: Multimodal Representation Learning Heterogeneous Graph Neural Network by Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi

“…The existing graph neural networks cannot efficiently capture both the multimodality of the data and the inherent heterogeneity of such graphs. …”
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Performance Analysis of Automated Parcel Lockers in Urban Delivery: Combined Agent-Based–Monte Carlo Simulation Approach by Eugen Rosca, Florin Rusca, Mircea Augustin Rosca, Aura Rusca

“…Parcel lockers are among the most preferred solutions by customers due to their home proximity, time availability, and cost efficiency. <i>Methods</i>: This paper introduces an agent-based model (ABM) and a Monte Carlo simulation program to analyze in detail the activity of parcel locker points. …”
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Energy consumption evaluation of soil tillage operation using non-linear multibody tractor and plough models implemented in real-time simulator for different soils and speeds by Michele Vignati, Federico Cheli, Federico Biraghi, Marco E. Pezzola, Claudio Maroni

“…The simulation environment incorporates a tractor model rigidly connected to the plough model, receiving contact forces from the field model. The model outputs vehicle dynamics information and ploughing operation data, allowing for operator inputs or simulated inputs. …”
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Phosphorus metabolism of the food system in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration by Yang Lu, Yang Lu, Yang Lu, Yang Lu, Wei Huang, Wei Huang, Wei Huang, Shenghui Cui, Shenghui Cui, Shenghui Cui, Jiexin Deng, Jiexin Deng, Jiexin Deng, Jiexin Deng, Yin Zhang, Yin Zhang, Yin Zhang, Yin Zhang, Yunfeng Huang, Bing Gao, Bing Gao, Bing Gao

“…IntroductionPhosphorus (P) is a vital nutrient for food production, yet a significant pollutant when mismanaged.MethodsThis study analyzes the phosphorus flow of the food system in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) in 2020, using a Substance Flow Analysis framework. …”
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Implementing Supply Chain Management 4.0: Potential Driving Forces and Strategies From an Empirical Study of Pharmaceutical Industries by Ismail W. R. Taifa, Johnson Subby Nzowa

“…Pertinent data were collected from 111 related companies using a mixed‐methods research approach. The study used IBM SPSS and AMOS version 21 for exploratory and confirmatory factor analysis, respectively. …”
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Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement by Kaustab C. Sahu, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…These can be mitigated by employing surrogate modeling methods, especially to expedite design workflows like local/global optimization or uncertainty quantification. …”
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A hybrid slime mold enhanced convergent particle swarm optimizer for parameter estimation of proton exchange membrane fuel cell by Mohammad Aljaidi, Sunilkumar P. Agrawal, Anil Parmar, Pradeep Jangir, Arpita, Bhargavi Indrajit Trivedi, G. Gulothungan, Ali Fayez Alkoradees, Reena Jangid, Mohammad Khishe

“…Abstract High efficiency and eco friendliness, proton exchange membrane fuel cells (PEMFCs) have become a good solution to cleaner energy solutions. …”
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Deep Learning Segmentation Techniques for Atherosclerotic Plaque on Ultrasound Imaging: A Systematic Review by Laura De Rosa, Serena L’Abbate, Eduarda Mota da Silva, Mauro Andretta, Elisabetta Bianchini, Vincenzo Gemignani, Claudia Kusmic, Francesco Faita

“…Deep learning (DL) techniques have recently gained attention as tools to improve the accuracy and efficiency of image analysis in this domain. This paper reviews recent advancements in DL-based methods for the segmentation, classification, and quantification of atherosclerotic plaques in US imaging, focusing on their performance, clinical relevance, and translational challenges. …”
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Evaluating the potential risks of employing large language models in peer review by Lingxuan Zhu, Yancheng Lai, Jiarui Xie, Weiming Mou, Lihaoyun Huang, Chang Qi, Tao Yang, Aimin Jiang, Wenyi Gan, Dongqiang Zeng, Bufu Tang, Mingjia Xiao, Guangdi Chu, Zaoqu Liu, Quan Cheng, Anqi Lin, Peng Luo

“…Methods Claude 2.0 was used to generate peer review reports, rejection recommendations, citation requests and refutations for 20 original, unmodified cancer biology manuscripts obtained from eLife's new publishing model. …”
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Artificial intelligence driven platform for rapid catalytic performance assessment of nanozymes by Wenjie Xuan, Xiaofo Li, Honglei Gao, Luyao Zhang, Jili Hu, Liping Sun, Hongxing Kan

“…Abstract Traditional methods for synthesizing nanozymes are often time-consuming and complex, hindering efficiency. …”
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