Artificial Intelligence in Video Games: Towards a Unified Framework by Firas Safadi, Raphael Fonteneau, Damien Ernst

“…With modern video games frequently featuring sophisticated and realistic environments, the need for smart and comprehensive agents that understand the various aspects of complex environments is pressing. Since video game AI is often specifically designed for each game, video game AI tools currently focus on allowing video game developers to quickly and efficiently create specific AI. …”
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Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments. by Jingshu Wang, Qingyuan Zhao, Jack Bowden, Gibran Hemani, George Davey Smith, Dylan S Small, Nancy R Zhang

“…By using GWAS summary statistics, GRAPPLE can efficiently use both strong and weak genetic instruments, detect the existence of multiple pleiotropic pathways, determine the causal direction and perform multivariable MR to adjust for confounding risk factors. …”
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Rapid and sensitive determination of bongkrekic acid with molecularly imprinted polymer-coated wooden-tip electrospray ionization mass spectrometry by Chunfei Zhong, Xinyan Li, Fan Zhang, Ning Liu, Jiewei Deng, Yunyun Yang, Tiangang Luan

“…This study integrates MIP with ambient mass spectrometry, offering a robust, selective, and sensitive tool for the monitoring of trace BA levels in complex food and environmental samples, contributing significantly to public health safety and food quality control.…”
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PIDLF+: A Novel Adaptive PIDLF for Forestry Height Mapping Based on Single-Baseline PolInSAR Data by Dandan Li, Hailiang Lu, Mercedes E. Paoletti, Juan M. Haut, Juntao Gu, Chao Li, Weipeng Jing

“…Nevertheless, due to the complex terrain of forest areas, it is difficult to ensure the inversion accuracy when training in a specific forested scene and then applying it to other areas. …”
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Enhancing Sustainable Manufacturing in Industry 4.0: A Zero-Defect Approach Leveraging Effective Dynamic Quality Factors by Rouhollah Khakpour, Ahmad Ebrahimi, Seyed Mohammad Seyed Hosseini

“…Moreover, the gathered data from defect detection can be used in two ways: to prevent defect occurrence in the future (detect-prevent) and to design algorithms for predicting when a defect may occur in the future, hence, to prevent defects before they arise (predict-prevent). …”
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Tuberculous abdominal aortic aneurysm: Management and outcomes by Sree Vani Paladugu, MS, Ajay Savlania, MCh, Gokulkrishnan Hari, MS, Tanuj Singla, MS, Shreyas Srinivasan, MBBS, Ujjwal Gorsi, DM, Mustafa Razi, MD, Pradeep Burli, MD, Prem Chand Gupta, MS

“…Patient status at presentation, the complexity of surgical reconstruction, and the possibility of performing efficient surgical debridement influence the selection of various therapeutic strategies. …”
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Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification by Bo Yuan, Yudie Hu, Yan Liang, Yutong Zhu, Lingyu Zhang, Shimin Cai, Rui Peng, Xianbin Wang, Zheng Yang, Jinhui Hu

“…This indicates that with minimal adaptation, foundation models can be valuable tools in digital pathology, especially in complex multi-class scenarios.…”
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An autonomous navigation method for field phenotyping robot based on ground-air collaboration by Zikang Zhang, Zhengda Li, Meng Yang, Jiale Cui, Yang Shao, Youchun Ding, Wanneng Yang, Wen Qiao, Peng Song

“…Compared with traditional GNSS-based navigation methods and single vision methods, this method shows significant advantages in adapting to the dynamic growth of crops and complex field environments, which not only ensures that the phenotyping robot accurately travels along the crop rows during field operations to avoid damage to the crops, but also provides an efficient and accurate means of data acquisition for crop phenotyping.…”
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High-Coverage Profiling of Hydroxyl and Amino Compounds in Sauce-Flavor Baijiu Using Bromine Isotope Labeling and Ultra-High Performance Liquid Chromatography–High-Resolution Mass... by Zixuan Wang, Youlan Sun, Tiantian Chen, Lili Jiang, Yuhao Shang, Xiaolong You, Feng Hu, Di Yu, Xinyu Liu, Bo Wan, Chunxiu Hu, Guowang Xu

“…<b>Conclusions</b>: These results demonstrate that the established method is efficient for the comprehensive analysis of hydroxyl and amino compounds in complex food matrices. …”
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Genome-wide association analysis of grain iron and zinc in rice grown under agroclimatic sites with contrasting soil iron status by Sonu, Amit Kumar, Vikram Jeet Singh, Prolay Kumar Bhowmick, Shekharappa Nandakumar, Sunaina Yadav, Subbaiyan Gopala Krishnan, Ranjith Kumar Ellur, Haritha Bollinedi, Ashok Kumar Singh, Kunnummal Kurungara Vinod

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Canopy Chlorophyll Content Inversion of Mountainous Heterogeneous Grasslands Based on the Synergy of Ground Hyperspectral and Sentinel-2 Data: A New Vegetation Index Approach by Yi Zheng, Yao Wang, Tayir Aziz, Ali Mamtimin, Yang Li, Yan Liu

“…The results indicated the following: (1) DRECAVI demonstrated the highest accuracy in CCC retrieval for mountainous vegetation (R² = 0.74, RMSE = 16.79, MAE = 12.50) compared to other VIs and hybrid methods, effectively mitigating saturation effects in high biomass areas and capturing a weak bimodal distribution pattern of CCC in the montane meadow. (2) The blue band B1 enhances atmospheric correction robustness by suppressing aerosol scattering, and the red-edge band B7 overcomes the sensitivity limitations of conventional red-edge indices (such as NDVI705, CIred-edge, and NDRE), demonstrating the potential application of the synergy mechanism between the blue band and the red-edge band. (3) Although the S2BP achieved high accuracy (R² = 0.73, RMSE = 19.83, MAE = 14.71) without saturation effects and detected a bimodal distribution of CCC in the montane meadow of the study area, its algorithmic complexity hindered large-scale operational applications. …”
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Study of local inflammatory response in different clinical forms of chronic polypous rhinosinusitis by E. A. Varyushina, E. V. Bezrukova, E. V. Vorobeychikov, E. V. Kravchenko, J. V. Sukhareva, M. A. Aflitonov, A. S. Simbirtsev

“…In all clinical forms of CPMS, complex histopathological changes were observed, including leukocyte infiltration, fibrosis, edema, and collagen depositions. …”
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A functionally tunable magnetic nanochains platform for N-glycoproteomic analysis of extracellular vesicles from ultratrace biofluids by Mingyang Li, Xiaorong Song, Haixia Tu, Jie Sun, Yuanyuan Deng, Bing Wang, Yuhan Cai, Yulian Wang, Bin Li, Yue Wang, Xiangzheng Zhang, Dong Wei, Xiaoyu Yang, Yueshuai Guo, Xiang Li, Jie Gu, Jie Ni, Yifan Zhou, Zhongze Gu, Zhuoying Xie, Yan Li, Xuejiang Guo

“…Abstract Extracellular vesicles (EVs) carry complex glycoproteins critical mediators of disease progression and hold great potential for liquid biopsy applications. …”
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Joint Transmit-receive Beam Design of FDA-MIMO Dual-function Radar-communication Systems for Radio-frequency Stealth by Haozheng WU, Chenguang SHI, Jianjiang ZHOU

“…Efficient Radio-Frequency (RF) stealth is crucial for Dual-Function Radar-Communication (DFRC) systems that detect radar stealth and con vert communication transmission. …”
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An appraisal of backscatter removal and refraction calibration models for improving the performance of vision-based mapping and navigation in shallow underwater environments by Fickrie Muhammad, Poerbandono, Harald Sternberg, Eka Djunarsjah, Hasanuddin Z Abidin

“…Furthermore, additional visual-inertial datasets quantify the overall performance, especially in retrieving metric positioning information. The research shows efficient backscatter removal improves feature detection robustness, especially in murky water conditions. …”
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Laser-cooled ^{137}BaF molecules for measuring nuclear-spin-dependent parity violation by Felix Kogel, Tatsam Garg, Marian Rockenhäuser, Tim Langen

“…Our results pave the way for efficient state preparation, detection, and cooling in precision measurements using this species and other similar species.…”
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A hybrid model for refining gross primary productivity estimation by integrating multiple environmental factors by Zhilong Li, Ziti Jiao, Zheyou Tan, Chenxia Wang, Jing Guo, Sizhe Chen, Ge Gao, Fangwen Yang, Xin Dong

“…In contrast, machine learning has the natural potential to detect intricate patterns and relationships among various environmental variables. …”
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Isolation and identification of a matrine-producing fungal strain from petroleum-contaminated soil by Mao Dongxia, Guo Dandan, Wu Lingling, Tian Xiaoxue, Zhang Shengxiang, Liu Tao, Ma Xiaokui

“…In addition, the production efficiency is not high enough, and the product has many impurities. …”
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Identification of tRF-29-79MP9P9NH525 as a biomarker and tumor suppressor of gastric cancer via regulating KIF14/AKT pathway by Jiaxin Ge, Ji Dai, Haoqiang Ji, Jie Guo, Xiaoban Shen, Desen Sun, Qiang Chen, Pan Chen, Guoliang Ye, Junming Guo, Shuangshuang Zhang

“…It was found that tissue tRF-29 showed effective diagnostic efficiency in GC and could discriminate different gastric mucosa. …”
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Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme by Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk

“…These approaches have already shown considerable advantages over traditional methods, especially due to their capacity to efficiently process large datasets and detect complex patterns. …”
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