Deductively coding psychosocial autopsy interview data using a few-shot learning large language model by Elias Balt, Elias Balt, Salim Salmi, Sandjai Bhulai, Stefan Vrinzen, Merijn Eikelenboom, Merijn Eikelenboom, Renske Gilissen, Renske Gilissen, Daan Creemers, Daan Creemers, Arne Popma, Saskia Mérelle, Saskia Mérelle

“…Therefore, the current study aimed to investigate if a Large Language Model (LLM) can be feasibly integrated with qualitative research procedures, by evaluating the performance of the model in deductively coding and coherently summarizing interview data obtained in a psychosocial autopsy.MethodsData from 38 semi-structured interviews conducted with individuals bereaved by the suicide of a loved one was deductively coded by qualitative researchers and a server-installed LLAMA3 large language model. …”
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Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning by Wenfeng Dai, Yanhong Wang, Shuai Yan, Qingzhi Yu, Xiang Cheng

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Modelling multi-layer fine fuel loads in temperate eucalypt forests using airborne LiDAR and inventory data by Trung H. Nguyen, Simon Jones, Karin J Reinke, Mariela Soto-Berelov

“…Model interpretation revealed that integrating ALS metrics from multiple forest layers maximised accuracy and highlighted the complex role of vertical forest structure in predicting FFL. …”
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MolAttnNet: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention by Chenxu Wang, Yijun Feng, Zhejie Xu, Xiaohui Xu, Bangguo Peng

“…Furthermore, interpretability analysis confirms the model’s reliability in feature extraction and decision-making processes. …”
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A Multimodal Deep Learning Framework for Accurate Biomass and Carbon Sequestration Estimation from UAV Imagery by Furkat Safarov, Ugiloy Khojamuratova, Misirov Komoliddin, Xusinov Ibragim Ismailovich, Young Im Cho

“…ForestIQNet combines dual-stream encoders for processing multispectral UAV imagery and a voxelized Canopy Height Model (CHM), fused via a Cross-Attentional Feature Fusion (CAFF) module, enabling fine-grained interaction between spectral reflectance and 3D structure. …”
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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

“…Our innovative approach combines residual networks for hierarchical feature extraction, a height-based grouping strategy to enhance structural representation, and a parameterized geometric transformation module to improve translation invariance and model adaptability. …”
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« Perspectives » Regional organizations and inter-regional relations: competitive models or a bottom-up change of multilateral global governance? by Mario Telò

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MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multiscale Dilated Convolution for Image Compressive Sensing (CS) by Youhao Yu, Richard M. Dansereau

“…To address the computational challenges of CS reconstruction, our objective is to develop an interpretable and concise neural network model for reconstructing natural images using CS. …”
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Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data by Mazin Al-Mahrouqi, Abdollah Shafieezadeh, Jieun Hur, Jae-Wook Jung, Jeong-Gon Ha, Daegi Hahm

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Non-Homogeneous Poisson Process Software Reliability Model and Multi-Criteria Decision for Operating Environment Uncertainty and Dependent Faults by Youn Su Kim, Kwang Yoon Song, Hoang Pham, In Hong Chang

“…As software systems have diversified in functionality, their structure has become more complex, and the types of failures that can occur in software have also diversified, stimulating the development of diverse software reliability models. …”
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Solitary Wave Solutions to the Modified Zakharov–Kuznetsov and the (2 + 1)-Dimensional Calogero–Bogoyavlenskii–Schiff Models in Mathematical Physics by M. Al-Amin, M. Nurul Islam, Onur Alp İlhan, M. Ali Akbar, Danyal Soybaş

“…The modified Zakharov–Kuznetsov (mZK) and the (2 + 1)-dimensional Calogero–Bogoyavlenskii–Schiff (CBS) models convey a significant role to instruct the internal structure of tangible composite phenomena in the domain of two-dimensional discrete electrical lattice, plasma physics, wave behaviors of deep oceans, nonlinear optics, etc. …”
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PANEL DATA REGRESSION MODEL FOR PREDICTING ECONOMIC GROWTH BEFORE AND DURING THE COVID-19 PANDEMIC IN EAST JAVA PROVINCE by Ronny Susetyoko, Edi Satriyanto, Alfi Fadliana, Fitrah Maharani Humaira

“…The results of this study, the best model is the Fixed Effect Model (FEM) with R-Squared 0.99991 and Adj. …”
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Presenting a Conceptual Model of Customer Feed back Process in Customer Knowledge Management (C.K.M) Approach by Ali Akbar Farhangi, Seyed Abolghasem Mira

“…This study examined the views of customers, sellers and managers of firms and with using structural equation modeling software "lisrel" is analyzed. …”
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Music audio emotion regression using the fusion of convolutional neural networks and bidirectional long short-term memory models by Yi Qiu, Yu Lin, Yun Lin

“…The model uses CNNs to detect temporal patterns and BiLSTMs to interpret sequences in both forward and backward directions, enhancing its ability to capture the complex structure of musical data. …”
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Predicting CO2 equilibrium solubility in various amine-CO2 systems using an artificial neural network model by Apri Wahyudi, Uthaiporn Suriyapraphadilok

“…Interpretations of the model are also provided based on the chosen features. …”
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Research on CTSA-DeepLabV3+ Urban Green Space Classification Model Based on GF-2 Images by Ruotong Li, Jian Zhao, Yanguo Fan

“…The model exhibits higher accuracy and provides efficient references for the intelligent interpretation of urban green space with high-resolution remote sensing images.…”
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A matter of scale: Identifying the best spatial and temporal scale of environmental variables to model the distribution of a small cetacean by Tiffany Goh, Mark Jessopp, Emer Rogan, Enrico Pirotta

“…In marine ecosystems, the processes that drive species distribution have a hierarchical structure over multiple nested spatial and temporal scales. …”
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A hybrid machine learning method of support vector regression with particle swarm optimization for predicting IRI in continuously reinforced concrete pavement by Ali Alnaqbi, Waleed Zeiada, Ghazi Al-Khateeb

“…By highlighting important input characteristics affecting IRI, variable importance analysis and 3D interaction plots improved the interpretability of the model even more. The outcomes show the PSO-SVR framework's superiority and dependability, underscoring its potential as a strong decision-support tool for pavement management and performance forecasting in rigid pavement systems.…”
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Problems of information technology support for implementation BIM concepts by L. I. Malyavkina, A. G. Savina, D. A. Savin

“…Within the framework of the study, the methods of logical, structural, comparative, system analysis were used; modeling and graphical presentation of results.Result. …”
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Integrated data-driven topology reconstruction and risk-aware reconfiguration for resilient power distribution systems under incomplete observability by Sipei Sun, Ning Li, Liang Zhang, Dongpo Zhao, Di Lun, Liang Feng

“…Motivated by real-world challenges where asset metadata, SCADA records, GIS layouts, and dispatcher logs are misaligned or incomplete, the proposed approach reconstructs network topology using a graph convolutional network (GCN) that fuses heterogeneous data attributes and learns structural representations from partial connectivity information. …”
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