Construction and validation of acetylation-related gene signatures for immune landscape analysis and prognostication risk prediction in luminal breast cancer by Mengdi Zhu, Jinna Lin, Haohan Liu, Jingru Wang, Nianqiu Liu, Yudong Li, Hongna Lai, Qianfeng Shi

“…TIDE, Microenvironment Cell Populations-counter, and CIBERSORT algorithms were used to analyze the immune landscape of the risk model population. …”
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The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning by Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang, Haimeng Li, Sheng Hong, Zhiping Wu

“…Abstract The accurate prediction of storm‐time thermospheric mass density is always critically important and also a challenge. In this paper, an available prediction model is established by Long Short‐Term Memory (LSTM)‐based ensemble learning algorithms. …”
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Contribution of Mesoscale Convective Systems to Floods in the East Asian Summer Monsoon Region by Tian Ding, Tianjun Zhou, Zhun Guo, Yuan Yang, Liwei Zou, Xiaolong Chen

“…Type‐2 MCS, characterized by the second largest precipitation volume, more numerous than Type‐1 particularly over land, can induce floods not only relatively efficiently but also more frequently than Type‐1.…”
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Real-space heterogeneous reconstruction, refinement, and disentanglement of CryoEM conformational states with HetSIREN by David Herreros, Carlos Perez Mata, Chari Noddings, Deli Irene, James Krieger, David A. Agard, Ming-Daw Tsai, Carlos Oscar Sanchez Sorzano, Jose Maria Carazo

“…Traditional methods assume discrete conformations, while newer algorithms estimate conformational landscapes representing the different structural states a biomolecule explores. …”
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Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approach by Jana Vojteková, Saeid Janizadeh, Matej Vojtek, Anna Tirpáková, Matej Ruttkay, František Petrovič

“…The results of the random forest model were also validated with the recently documented HODFs via the archeological research.…”
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The Use of BIM Models and Drone Flyover Data in Building Energy Efficiency Analysis by Agata Muchla, Małgorzata Kurcjusz, Maja Sutkowska, Raquel Burgos-Bayo, Eugeniusz Koda, Anna Stefańska

“…The paper examines methodologies for combining thermal imaging with BIM, including image analysis algorithms and artificial intelligence applications. …”
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Low-Cost Experimental Methodology for the Dynamic Model Approximation of Multirotor Actuators by Walter A. Mayorga-Macías, Luis E. González-Jiménez, Marco A. Meza-Aguilar, Luis F. Luque-Vega

“…Moreover, as the proposed signal processing algorithms are simple, the computational capabilities of the required embedded system are also low. …”
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Quantitative and Spatially Explicit Clustering of Urban Grocery Shoppers in Montreal: Integrating Loyalty Data with Synthetic Population by Duo Zhang, Laurette Dubé, Antonia Gieschen, Catherine Paquet, Raja Sengupta

“…This study integrates customer loyalty program data with a synthetic population to analyze grocery shopping behaviours in Montreal. Using clustering algorithms, we classify 295,631 loyalty program members into seven distinct consumer segments based on behavioural and sociodemographic attributes. …”
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Subphenotypic Classification of Immune Response in Sepsis: Predicting Mortality and Guiding Future Personalized Immunotherapy by Velma Herwanto, Khie Chen Lie, Robert Sinto, Leonard Nainggolan

“…Immunotherapeutic options also differ for these three groups. In the future, such immune response classifications will be valuable in sepsis management algorithms for personalized prognostication and therapy. …”
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Self-Supervised Neural Networks for Precoding in MIMO Rate Splitting Multiple Access Systems by Dheeraj Raja Kumar, Carles Anton-Haro, Xavier Mestre

“…Complementarily, we compare their complexity in terms of the number of trainable parameters and computation time. We also extend the evaluation to non-linear channels in RSMA settings. …”
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An Analysis of the Design and Kinematic Characteristics of an Octopedic Land–Air Bionic Robot by Jianwei Zhao, Jiaping Gao, Mingsong Bao, Hao Zhai, Xu Pei, Zheng Jiang

“…An advanced kinematic analysis and simulation techniques are combined with inverse kinematic algorithms and dynamic planning to achieve a typical ‘Step-Wise Octopedal Dynamic Coordination Gait’ and different gait planning and optimization. …”
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Optimization research on laminated cooling structure for gas turbines: A review by Xiaojing Tian, Weiqi Ye, Liang Xu, Anjian Yang, Langming Huang, Shenglong Jin

“…In the future, researchers should focus on enhancing the efficiency and accuracy of multi-objective optimization algorithms. They should also explore the application of machine learning and artificial intelligence in LCS optimization, thereby promoting the intelligence and automation of design optimization.…”
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Enhancing Energy Efficiency Utilized IoT: Power Optimization and Energy Harvesting Techniques for Sustainable and Resilient Systems by Dhafer Yaseen, Hasan Qays, Hasnaa Abdulkareem, Falah Ahmed

“…This study does not confirm the viability of self sustaining networks but also suggests future research paths to further enhance energy efficiency and resilience in IoT setups or systems.…”
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Advances in methods for evaluating anti-wrinkle efficacy in the periocular and perioral areas by TAN Huiling, LV Hua, WEN Si, YE Li, LIU Zhenfeng

“…The paper also highlights the limitations of the current research, including the lack of standardization of subjective evaluation, the lack of uniform standards for dynamic wrinkle assessment, and the absence of a population-specific evaluation system for Chinese individuals. …”
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Accurate Mapping of Subterranean Structures with Mobile Phones by M. Rehak, D. Cucci, J.-B. Magnin, C. Strecha

“…By integrating GNSS RTK signals, photogrammetry algorithms, and the PIX4D AutoTag technology, the proposed method offers an accessible solution for accurate mapping in areas with limited GNSS signal availability. …”
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Corrosion Risk Assessment in Coastal Environments Using Machine Learning-Based Predictive Models by Marta Terrados-Cristos, Marina Diaz-Piloneta, Francisco Ortega-Fernández, Gemma Marta Martinez-Huerta, José Valeriano Alvarez-Cabal

“…Among the models tested, tree-based algorithms, particularly gradient boosting, provided the highest prediction accuracy (F1 score: 0.8673). …”
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Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…The vast amount of data generated by these platforms is mostly uncontrolled and unmanageable. This has also provided opportunities for individuals to engage in hate speech and offensive language on these platforms. …”
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CNN-Based Medical Ultrasound Image Quality Assessment by Siyuan Zhang, Yifan Wang, Jiayao Jiang, Jingxian Dong, Weiwei Yi, Wenguang Hou

“…The quality of ultrasound image is a key information in medical related application. It is also an important index in evaluating the performance of ultrasonic imaging equipment and image processing algorithms. …”
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Statistical assessment of interrelationship of marriage and divorces to fertility by A. B. Sinelnikov, O. A. Zolotareva, M. D. Khabib

“…The methodology makes it possible to assess the impact of marriage and divorce rates on fertility, to identify the impact of measures of state assistance to families on the change in the number of marriages, divorces, and births, and also makes it possible to justify new measures of demographic policy aimed at increasing the marriage rate and reducing the divorce rate. …”
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Delineation of Optimized Single and Multichannel Approximate DA-Based Filter Design Using Influential Single MAC Strategy for Trans-Multiplexer by Britto Pari James, Leung Man-Fai, Mariammal Karuthapandian, Vaithiyanathan Dhandapani

“…Utilizing TSMC 180 nm CMOS technology and the Cadence RC compiler, cell-level performance is also achieved.…”
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