Network analysis of the food-energy-water nexus in the Gulf of Mexico (America) region by Casey L. Steadman, Shaun Williams, Andrew Eiswerth

“…Furthermore, we showcase how integrating and embedding this qualitative and quantitative data into an ArcGIS StoryMap allows for interactive and layered communication of FEW tension points, regional hotspots, and key players, facilitating the ability for stakeholders to obtain and build a multi-scale, holistic perspective of FEW nexus dynamics. …”
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Empowering designers to create life cycle informed products: heuristics for extracting insights from LCA reports by Nicole Goridkov, Ye Wang, Kosa Goucher-Lambert

“…As AI-driven tools become increasingly integrated into design workflows, there is an opportunity to improve access to sustainability data. …”
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Exploring Oral History Archives Using State-of-the-Art Artificial Intelligence Methods by Martin Bulín, Jan Švec, Pavel Ircing, Adam Frémund, Filip Polák

“…The goal is to improve accessibility while preserving the authenticity and integrity of historical records.Methods: We developed an asking questions framework utilizing a fine-tuned T5 model to generate contextually relevant questions from interview transcripts. …”
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Hybrid AI for Predictive Cyber Risk Assessment: Federated Graph-Transformer Architecture With Explainability by Jaime Govea, Rommel Gutierrez, William Villegas-Ch, Alexandra Maldonado Navarro

“…This paper proposes a hybrid model for predictive cyber risk assessment that integrates Graph Neural Networks (GNNs) for relational pattern modeling, a Transformer-based language model (CyberBERT) for semantic representation of logs and traffic data, and a Federated Learning framework to preserve data privacy during training. …”
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Mapping Peatlands Combing Deep Learning With Sparse Spectral Unmixing Based on Zhuhai-1 Hyperspectral Images by Yulin Xu, Xiaodong Na

“…A multihead attention mechanism based on the transformer encoder captures global contextual information by correlating patches in the image, facilitating precise hyperspectral data reconstruction. …”
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Information Systems Quality and Corporate Sustainability: Unpacking the Interplay of Financial Reporting, Artificial Intelligence, and Green Corporate Governance by Nidal Neiroukh, Dilber Çağlar

“…Empirical data were collected from 257 accounting and finance professionals working in Jordanian commercial banks, providing a robust setting where digital infrastructure and sustainability imperatives converge. …”
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Perspectives of undergraduate module convenors at a South African academic institution on medical student training in evidence-based health care: a qualitative study by Taryn Young, Anke Rohwer, Jimmy Volmink, Mike Clarke

“…Faculty convening medical undergraduate teaching modules were purposively sampled. Data collection was done using focus-group or individual interviews. …”
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Leveraging Machine Learning for Enhanced Bug Triaging in Open-Source Software Projects by Nitanta Adhikari, Rabindra Bista, Joao Carlos Ferreira

“…Our primary contribution is the development of an Augmented Bidirectional LSTM model that integrates enriched textual features and contextual metadata. …”
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Hybrid boosted attention-based LightGBM framework for enhanced credit risk assessment in digital finance by Chengwei Ying, Anlu Shi, Xiongyi Li

“…The HBA-LGBM model introduces four key innovations: (1) a multi-stage feature selection mechanism that dynamically filters key borrower attributes; (2) an attention-based feature enhancement layer, which prioritizes critical financial risk factors dynamically based on contextual importance; (3) a hybrid boosting strategy, integrating LightGBM with an adaptive neural network, enabling the model to capture complex borrower behavior and non-linear credit risk patterns; and (4) an advanced imbalanced learning strategy, combining synthetic data augmentation and cost-sensitive learning to mitigate class imbalance and enhance minority class predictions. …”
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Research on a denoising model for entity-relation extraction using hierarchical contrastive learning with distant supervision by Ayiguli Halike, Aishan Wumaier, Kahaerjiang Abiderexiti, Tuergen Yibulayin

“…Specifically, a three-layer learning architecture is designed, which incorporates interactions at different levels and employs a multi-head self-attention mechanism to generate denoised context-aware representations, referred to as multi-granular re-contextualization. Additionally, a dynamic gradient adversarial perturbation data augmentation strategy is introduced to provide pseudo-positive samples for contrastive learning, further enhancing the model’s capabilities in recognizing rare relations. …”
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Designing Psychological Treatments for Scalability: The PREMIUM Approach. by Sukumar Vellakkal, Sukumar Vellakkal, Vikram Patel

“…<h4>Conclusions</h4>Integrating global evidence with local knowledge and practices are complementary and feasible goals to contribute to the development of contextually appropriate and feasible EPT in resource poor country settings. …”
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Decomposition of Neutrosophic Zero-divisor graph by Balakrishnan A, Kanchana M, Said Broumi, Thirugnanasambandam K

“…By integrating MCDM, universities can develop a more objective, data-driven framework for evaluating translation skills while ensuring fair and consistent grading practices. …”
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Semi-Supervised Salient Object Detection for Side-Scan Sonar Images via Entropy-Based Uncertainty and Contrastive Learning by Shenao Yuan, Zhen Wang, Fu-Lin He, Shan-Wen Zhang

“…Our method aims to improve the quality of pseudo-labels and the overall performance of the model using a small amount of labeled data. Specifically, we design an uncertainty map evaluation module that effectively extracts global contextual information through an entropy-based partition loss and a contrastive learning mechanism, integrated with the uncertainty map to handle the complex underwater background. …”
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Scientific Illustration: from Informational Support to a Culture of Participation by D. K. Lisovsky

“…This is due to constantly changing technical and technological means of presenting scientific data, as well as a change in the communicative space of science itself. …”
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Urban walkability through different lenses: A comparative study of GPT-4o and human perceptions. by Musab Wedyan, Yu-Chen Yeh, Fatemeh Saeidi-Rizi, Tai-Quan Peng, Chun-Yen Chang

“…However, these approaches often fail to capture the subjective and emotional dimensions of walkability, due to their limited ability to integrate human-centered perceptions and contextual understanding. …”
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The lived experiences of pediatric nursing students following high-fidelity simulations and problem-based learning sessions by Sadeg Aldolaim, Latifa Abdullah Aldossary, Ibtihal Abdulhadial Almomin, Areej Abdulghani Haitham

“…Results Four themes emerged from the data: (1) Benefits of HFS and PBL, describing enhanced clinical confidence, decision-making, and practical skills; (2) Effect of Integrative Learning, highlighting the meaningful connection between theory and practice through guided reflection and teamwork; (3) Challenge to Respond to the Real Child, reflecting students’ concerns about applying simulation-learned skills in emotionally demanding pediatric settings; and (4) Necessity of Collaboration, underscoring the importance of interdisciplinary engagement and broader clinical exposure. …”
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A Participatory Governance Model for Comprehensive Conservation of Historical Buildings and Urban Fabric: A Grounded Theory Approach by Somayyeh Ghadimzadeh, Elnaz Abizadeh, Mahdiyeh Rahnemay Toori

“…In the selective coding phase, these subcategories were integrated to form 26 main categories, which were then structured into 5 sections within the paradigm model: causal conditions (4 categories), contextual conditions (5 categories), intervening conditions (5 categories), strategies (7 categories), and consequences (5 categories).   …”
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Application of MCDM for Estimating Student Performance in University English Translation Courses under IndetermSoft Set by Qin Xu

“…By integrating MCDM, universities can develop a more objective, data-driven framework for evaluating translation skills while ensuring fair and consistent grading practices. …”
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ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson’s disease by Xiangze Teng, Xiangze Teng, Xiangze Teng, Xiang Li, Xiang Li, Xiang Li, Benzheng Wei, Benzheng Wei, Benzheng Wei

“…The framework comprises three key components: (1) a contrastive learning-based feature alignment module that projects MRI data and clinical text prompts into a unified embedding space via pretrained image and text encoders; (2) a bidirectional cross-modal attention module in which textual semantics guide MRI feature refinement for improved sensitivity to PD-related brain regions, while MRI features simultaneously enhance the contextual understanding of clinical text; (3) a hierarchical classification module that integrates the fused representations through two fully connected layers to produce final PD classification probabilities. …”
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Changes in food quality and habits in urban Ghana: evidence from a mixed-methods study by Sandra Boatemaa Kushitor, Lydia Okoibhole, Megan Vaughan, Kafui Adjaye-Gbewonyo, Irene Akwo Kretchy, Olutobi Adekunle Sanuade, Leonard Baatiema, Samuel Amon, Kojo Mensah Sedzro, Mawuli Komla Kushitor, Akanksha Abhay Marphatia, Emeline Rougeaux, Ann Blandford, Publa Antwi, Hannah Jennings, Vida Asah-Ayeh, Raphael Baffour Awuah, Edward Fottrell, Carlos Salvador Grijalva-Eternod

“…Focus group discussions were held to discuss current and past food habits, and data were analysed thematically (n = 30). The qualitative and quantitative data were integrated during the analysis. …”
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