Deciphering the impact of intra-tumoral bacterial infiltration on multi-omics profiles in low-grade gliomas by Wenshu Li, Zixiang Zhu, Zixiang Zhu, Longyuan Li, Xin Wu, Jiaxuan Li, Yi Zhou, Lingwen Gu, Pranathi Vittal, Zhouqing Chen, Zhong Wang, Lingchuan Guo

“…For the TCGA samples, utilizing advanced machine learning algorithms, this study identified distinct patterns of bacterial infiltration within the LGG population and constructed a prognostically relevant intra-tumoral bacteria risk model (PRIBR Index). …”
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MMAgentRec, a personalized multi-modal recommendation agent with large language model by Xiaochen Xiao

“…At the same time, this paper has constructed a comprehensive dataset in this field, each column contains 9004 data entries.…”
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Impact of Subjective and Objective Green Space Characteristics on Mental Health Benefits: An Explainable Machine Learning Approach by Ke LI, Yipei MAO, Yongjun LI

“…By combining field measurements, questionnaire surveys, and advanced machine learning algorithms, the research explores the impact of green space characteristics on emotional restoration, cognitive enhancement, and stress relief. …”
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Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province by Hamid Esmati Daroneh, Maryam Gholamzadeh

“…Following geometric modeling and constructing a block model for the deposit, we estimated reserves for various iron-grade thresholds and compared the results of both methods. …”
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Linear Codes and Self-Polarity by Iliya Bouyukliev, Stefka Bouyuklieva, Mariya Dzhumalieva-Stoeva, Dushan Bikov

“…Many PSD and self-polar codes over fields with two, three, four, and five elements with two and three nonzero weights are constructed.…”
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Deep Structure of the Middle Urals According to Magnetic and Gravitational Data by Byzov Denis, Martyshko Petr, Fedorova Natalia, Rublev Aleksey

“…Using original parallel algorithms for solving forward and inverse problems of gravimetry and magnetometry, a density model of the lithosphere and sources of magnetic anomalies in the Earth's crust were constructed. …”
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Interacting Large Language Model Agents. Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…Motivated by Bayesian sentiment analysis on online platforms, we construct interpretable models and stochastic control algorithms that enable LLMAs to interact and perform Bayesian inference. …”
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Dazzle: Oversampled Image Reconstruction and Difference-imaging Photometry for the Nancy Grace Roman Space Telescope by Michael D. Albrow

“…We present algorithms and software for constructing high-precision difference images to detect and measure transients, such as microlensing events, in crowded stellar fields using the Nancy Grace Roman Space Telescope. …”
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Development of a Multi-Source Satellite Fusion Method for XCH₄ Product Generation in Oil and Gas Production Areas by Lu Fan, Yong Wan, Yongshou Dai

“…To effectively control methane emissions in oilfield regions, this study proposes a multi-source remote sensing data fusion method based on the concept of data fusion, targeting high-emission areas such as oil and gas fields. The aim is to construct an XCH₄ remote sensing dataset that meets the requirements for high resolution, wide coverage, and high accuracy. …”
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A simplification method for large-scale urban point clouds considering diversity of terrain object features by Shen Shen, Yonghong Wu, Hongwei Zhang, Jiankai Lu, Hong Fan

“…Large-scale, high-precision urban point clouds are extensively utilized across various fields and serve as a fundamental data source for constructing digital twin cities. …”
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A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling by Min Wang, Li Huang, Jingke Yan, Jin Huang, Tao Yang

“…Crowd counting is an important research topic in the fields of computer vision and image processing, with monitoring and management of crowded scenes becoming an increasingly prominent issue. …”
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Analysis of Generalization Ability for Different AdaBoost Variants Based on Classification and Regression Trees by Shuqiong Wu, Hiroshi Nagahashi

“…Some researchers compared different AdaBoost variants by experiments in their own fields, and others reviewed various AdaBoost variants by basically introducing these algorithms. …”
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Quark masses and mixing in string-inspired models by Andrei Constantin, Cristofero S. Fraser-Taliente, Thomas R. Harvey, Lucas T. Y. Leung, Andre Lukas

“…The string-theoretic origin imposes a particular charge pattern on the SM fields and FN singlets, dividing the latter into perturbative and non-perturbative types. …”
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High‐Precision Prediction of Ionospheric TEC in the China Region Based on CMONOC High‐Resolution Data and an Auxiliary Attention Temporal Convolutional Network by Jianghe Chen, Pan Xiong, Haochen Wu, Xiaoran Zhang, Xuemin Zhang, Rongzi Chai, Ting Zhang, Kaixin Wang, Chaoyu Wang

“…The results demonstrate that the synergistic optimization of high‐quality CMONOC data sets and innovative algorithms achieves exceptional spatiotemporal accuracy and robustness in TEC prediction for the China region, providing new insights and technical support for fields such as navigation, communication, and space weather forecasting.…”
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Mapping Gridded GDP Distribution of China Based on Remote Sensing Data and Machine Learning Methods by Saimiao Liu, Wenliang Liu, Yi Zhou, Shixin Wang, Futao Wang, Zhenqing Wang

“…Therefore, based on the remote sensing data of land use and nighttime light, this study developed two methods: the factor averaging method (FAM) and grid averaging method (GAM), and used Random Forest (RF) and eXtreme Gradient Boosting (XGBoost) algorithms to jointly construct the spatial model of GDP, so as to produce China’s 1 km gridded GDP in 2020. …”
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Audio signal transmission method in network-based audio analytics system by Anton Poroshenko, Andriy Kovalenko

“…Therefore, without constructing adequate mathematical models, it is impossible to build a well-functioning network-based audio analytics system. …”
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Audio signal transmission method in network-based audio analytics system by Антон Порошенко, Андрій Коваленко

“…Therefore, without constructing adequate mathematical models, it is impossible to build a well-functioning network-based audio analytics system. …”
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Research on application of artificial intelligence safety production management and control platform in Shendong mining area by Yazhong CUI, Jianrong HE, Yanyan REN

“…At present, artificial intelligence technology has achieved certain application results in various fields such as underground comprehensive mining, excavation, electromechanical, transportation, and ventilation in the coal industry. …”
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Enhancing Unmanned Aerial Vehicle Object Detection via Tensor Decompositions and Positive–Negative Momentum Optimizers by Ruslan Abdulkadirov, Pavel Lyakhov, Denis Butusov, Nikolay Nagornov, Dmitry Reznikov, Anatoly Bobrov, Diana Kalita

“…The current development of machine learning has advanced many fields in applied sciences and industry, including remote sensing. …”
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Lightweight and robust ship detection method driven by self-attention mechanism by Feng MA, Zihui SHI, Jie SUN, Chen CHEN, Xianbin MAO, Xinping YAN

“…ConclusionThe proposed method can greatly benefit the fields of maritime monitoring and intelligent navigation.…”
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