Structural Types of Speech Acts with the Explicit Mode of Belief and their Expressive Properties in Scientific Dialogue by O. N. Chalova

“…The relevance of the analysis is predetermined by a number of factors: the focus of modern pragmatics on the study of various types of statements (including references to belief), the importance of an integrative approach to the analysis of communicative processes and phenomena and the need for a total description of scientific dialogue as a socially and linguistically significant type of communication as well as by the necessity to study similarities and differences between national variants of the same type of communication.Methodology and sources. …”
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Spatially Explicit Analysis of Landscape Structures, Urban Growth, and Economic Dynamics in Metropolitan Regions by Ioannis Vardopoulos, Marco Maialetti, Donato Scarpitta, Luca Salvati

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Using Deep Learning in Ensemble Streamflow Forecasting: Exploring the Predictive Value of Explicit Snowpack Information by Parthkumar Modi, Keith Jennings, Joseph Kasprzyk, Eric Small, Cameron Wobus, Ben Livneh

“…Motivated by the strong performance of deep learning models, we seek to assess whether the Long Short‐Term Memory (LSTM) model can provide skillful forecasts and replace process‐based models within the ESP framework. Given challenges in implicitly capturing snowpack dynamics within LSTMs for streamflow prediction, we also evaluated the added skill of explicitly incorporating snowpack information to improve hydrologic memory representation. …”
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Explicit Modeling of Multi-Product Customer Orders in a Multi-Period Production Planning Model by Cristian D. Palma, Francisco P. Vergara, Sebastián Muñoz-Herrera

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Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit by Xiang Yu, Yu Qiao, Qingpeng Li, Gang Xu, Chuanxiong Kang, Claudio Estevez, Chengzhi Deng, Shengqian Wang

“…This paper studies parallelizing CLPSO by open computing language (OpenCL) on the integrated Intel HD Graphics 520 (IHDG520) graphical processing unit (GPU) with a low clock rate. …”
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A Novel Force Control Strategy for Improved Surface Integrity in Low Plasticity Burnishing by Livatyali H.

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HiImp-SMI: an implicit transformer framework with high-frequency adapter for medical image segmentation by Lianchao Huang, Feng Peng, Binghao Huang, Yinghong Cao

“…A new dual-branch architecture is designed to simultaneously process spatial and frequency information, enhancing both boundary refinement and domain adaptability. …”
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Fostering learner autonomy through explicit metacognitive strategy instruction: A study in the Omani EFL context by Surya S. Vellanki, Zahid K. Khan, Saadat Mond

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The impact of mortality salience and explicit self-esteem on plastic reduction intention: A moderated mediation model. by Hsiao-Ling Chiu, Kung-Jeng Wang, Tsang-Hsien Wang

“…This study aimed to explore how MS and explicit self-esteem impact on attitude towards plastic reduction for future generations (APRFG) and intention to reduce plastic use, by integrating the Theory of Planned Behavior (TPB) and Terror Management Theory (TMT). …”
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The Process of Integrating Family Planning Services with Other Reproductive Health Services in Low and Middle-Income Countries: A Scoping Review by Farina Gul, Zohra S. Lassi, Gizachew A. Tessema, Jawaria Mukhtar Ahmed, Mohammad Afzal Mahmood

“…Data were charted study characteristics and details of integration process. Results were reported following PRISMA-ScR guidelines. …”
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Solving Fredholm Integral Equations of the First Kind Using a Gaussian Process Model Based on Sequential Design by Renjun Qiu, Juanjuan Xu, Ming Xu

“…In this study, a Gaussian process model is utilized to study the Fredholm integral equations of the first kind (FIEFKs). …”
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Multi-behavioral job recommendation integrating knowledge graph by Bin LIU, Xiaoyu LEI, Gege LIU, Shiyuan ZHAN, Xin GAO, Xiaoyan YANG

“…To improve the accuracy of job recommendations,a multi-behavioral job recommendation integrating knowledge graph (MB-JRIKG) was proposed based on the implicit preference information of both job seekers and recruiters in the process of "browsing job positions → submitting resumes → receiving feedback from recruiters". …”
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Parallelizing process model integration for model predictive control through oracle design and analysis for a Grover’s algorithm-inspired optimization strategy by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

“…However, current models struggle to simulate their complex relationships under different water management schemes, primarily due to inadequate representation of critical physiological effects and a lack of efficient spatially explicit modeling strategies. Here, we propose an advancing framework that addresses these problems by integrating a process-based soil–crop model with vital physiological effects, a novel method for model upscaling, and the non-dominated sorting genetic algorithm II (NSGA-II) multi-objective optimization algorithm at a parallel computing platform. …”
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Modification of ARL for detecting changes on the double EWMA chart in time series data with the autoregressive model by Kotchaporn Karoon, Yupaporn Areepong, Saowanit Sukparungsee

“…Comparisons were made between the ARLs obtained using the explicit formula and the numerical integral equation (NIE) approach. …”
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Distributionally robust hybrid energy management in smart mining using process-coupled primal-dual mirror descent by Dawei Wang, Yifei Li, Cheng Gong, Tianle Li, Fang Wang, Shanna Luo, Jun Li

“…The energy scheduling problem is formulated as a process-constrained, multi-period optimization under uncertainty, explicitly modeling the spatio-temporal correlations among renewable power generation, ventilation loads, dewatering demands, and blasting energy requirements. …”
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Exploring the Latent Information in Spatial Transcriptomics Data via Multi‐View Graph Convolutional Network Based on Implicit Contrastive Learning by Sheng Ren, Xingyu Liao, Farong Liu, Jie Li, Xin Gao, Bin Yu

“…Connecting gene expression with spatial arrangement is key for precise spatial domain identification, enhancing the comprehension of tissue microenvironments and biological processes. However, accurately analyzing spatial domains with similar gene expression and histological features is still challenging. …”
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Assessing Impacts of Hydropower Development on Downstream Inundation Using a Hybrid Modeling Framework Integrating Satellite Data‐Driven and Process‐Based Models by Son K. Do, Tien L. T. Du, Hyongki Lee, Chi‐Hung Chang, Duong D. Bui, Ngoc T. Nguyen, Kel N. Markert, Johan Strömqvist, Peeranan Towashiraporn, Stephen E. Darby, Linh K. Bui

“…This study proposes a novel hybrid framework integrating satellite data‐driven Forecasting Inundation Extents using REOF (Rotated Empirical Orthogonal Function) analysis (FIER), and the process‐based Hydrological Predictions for the Environment (HYPE) model incorporating the Integrated Reservoir Operation Scheme (IROS). …”
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Physics-Based Data Augmentation Enables Accurate Machine Learning Prediction of Melt Pool Geometry by Siqi Liu, Ruina Li, Jiayi Zhou, Chaoyuan Dai, Jingui Yu, Qiaoxin Zhang

“…This study proposes a hybrid framework that integrates an explicit thermal model with ML algorithms to improve prediction under sparse data conditions. …”
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Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

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