Quantitative evaluation of tight gas reservoir classification based on analytic hierarchy process: A case study of Penglaizhen Formation gas reservoir in Xinchang Gas Field by ZHOU Feng,HUANG Shilin,LI Xiaoming,LIAO Kaigui,LI Yong

“…This approach simplifies complex issues and quantifies qualitative aspects, facilitating a more structured evaluation. Utilizing geophysical data, logging interpretation, and geological fundamentals as criterion indices, the study constructs a judgment matrix to establish a quantitative evaluation model. …”
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Sensitivity analysis for time-to-event data accounting for intra-individual variability in time-varying covariates with missing data by Madiha Liaqat, Luciana Chiapella, Pradeep Mishra, Walid Emam, Yusra Tashkandy, Adelajda Matuka

“…Compared to other sensitivity analysis techniques, DA under MI explicitly adjusts imputed values using delta shifts, providing a structured approach to handling NMAR data. Unlike traditional methods that rely on pattern-mixture or selection models without direct imputation, DA generates multiple datasets with controlled sensitivity adjustments, ensuring a better variability assessment. …”
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Deploying AI on Edge: Advancement and Challenges in Edge Intelligence by Tianyu Wang, Jinyang Guo, Bowen Zhang, Ge Yang, Dong Li

“…However, the increasing complexity of AI network structures and the vast number of associated parameters impose substantial computational and storage demands, severely limiting the practical deployment of these models on resource-constrained edge devices. …”
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Prediction of blood–brain barrier and Caco-2 permeability through the Enalos Cloud Platform: combining contrastive learning and atom-attention message passing neural networks by Nikoletta-Maria Koutroumpa, Andreas Tsoumanis, Haralambos Sarimveis, Iseult Lynch, Georgia Melagraki, Antreas Afantitis

“…Scientific Contribution Our study combines an atom-attention Message Passing Neural Network (AA-MPNN) with contrastive learning (CL), which significantly improves predictive accuracy. Our model leverages self-supervised learning to expand the chemical space used in training and self-attention mechanisms to focus on critical molecular features, enhancing both model accuracy and interpretability. …”
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Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

“…Filling gaps in output data is implemented using entropy-extreme estimation of probability density functions for parameters of the model and errors of measurement. In the case of addressing missing values in input data, these are interpreted as results of transforming a sequence of independent stochastic vectors introduced into a model structurally identical to that formalized for filling gaps in output data. …”
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Transformative and Innovative Leadership: The Key to Successful Teacher Competency Development in Islamic Schools by Hawanuran Syifahaya, Istanto

“…The findings show that the principal implements structured leadership strategies through annual planning, In-House Training (IHT), internal coaching, and participation in external training. …”
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How to Write a Systematic Review with Meta-analysis? by Sandeep Grover, Chandrima Naskar

“…The different steps involved in carrying out a SR include defining the research question (by using the PICOT framework, i.e. population, intervention, comparison, outcome, and timeframe), developing a protocol and registering the same, carrying out a comprehensive literature search, carefully selecting the studies, extracting the data, assessing the quality of the included studies, data synthesis, and interpretation of results. For meta-analysis, additional steps involve the calculation of effect sizes, choosing the appropriate model for analysis (fixed vs. random effects), preparation of forest plots, assessment of publication bias, and doing subgroup/sensitivity analyses.…”
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Knowledge Graph Construction: Extraction, Learning, and Evaluation by Seungmin Choi, Yuchul Jung

“…A Knowledge Graph (KG), which structurally represents entities (nodes) and relationships (edges), offers a powerful and flexible approach to knowledge representation in the field of Artificial Intelligence (AI). …”
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The Origins and Worldwide Significance of Judaic Hermeneutics by Andrew Schumann

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Critical reflections on tourism: phenomenological perspectives on global-South, degrowth and the role of visual aids by Ângela Lacerda-Nobre, Amandine Gameiro, Rogério Duarte, Marc Jacquinet, Rafael Pérez

“…This to-and-from mutual determinations may be exemplified by visual aids that help to map the conceptual models that shape scientific debate. The research objective of the present study is to critically explore the theoretical potential of the global-South paradigm in order to bring a better understanding of tourism, illuminating the creative tensions that are shaping this dynamic, complex, multifactorial and structuring sector. …”
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Extracting representations of cognition across neuroimaging studies improves brain decoding. by Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux

“…These are brain networks tuned to psychological manipulations. They outline interpretable and plausible brain structures. The extracted networks have been made available; they can be readily reused in new neuro-imaging studies. …”
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Christian Summer Camp Ástjörn in Iceland in the experiences of children by Magdalena Agnieszka Palec, Teresa Parczewska

“…The research used qualitative methods (semi-structured interviews and a document analyses). A content analysis technique was used to interpret the data. …”
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Socio-Demographic Factors Influencing Adoption of Digital Technologies in Beekeeping by Karmańska Anna, Ziemba Ewa Wanda, Maruszewska Ewa Wanda, Jarka Sławomir

“…A Random Forest machine learning algorithm was employed to predict digital adoption, and SHAP values were applied to interpret the model’s output. The findings reveal that only 28.6% of beekeepers have adopted digital technologies. …”
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Reproduction des représentations sociales et des paradigmes : limite à la transformation du SES de la pêche au sébaste (Sebastes spp.) au Québec by Etienne Quillet, Steve Plante, Louis-Etienne Pigeon

“…In this context, we conducted semi-structured interviews with 34 actors involved in the SES of redfish fishery in Quebec and identified the practices implemented to respond to changes. …”
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Sources and Radiations of the Fermi Bubbles by Vladimir A. Dogiel, Chung-Ming Ko

“…A decade or so ago, a phenomenological model of the FBs was suggested as a result of routine star disruptions by the supermassive black hole in the GC which might provide enough energy for large-scale structures, like the FBs. …”
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Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…Although feature reduction did not similarly benefit the metrics for DL models, these findings highlight that well-chosen, domain-relevant condition indicators can streamline data input and deliver interpretable, cost-effective PdM solutions suitable for industrial applications.…”
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TPE-LCE-SHAP: A Hybrid Framework for Assessing Vehicle-Related PM2.5 Concentrations by Hamad Almujibah, Abdulrazak H. Almaliki, Caroline Mongina Matara, Adil Abdallah Mohammed Elhassan, Khalaf Alla Adam Mohamed, Mudthir Bakri, Afaq Khattak

“…The framework integrates the Local Cascade Ensemble (LCE) model, optimized using the Tree-structured Parzen Estimator (TPE) strategy, with SHapley Additive exPlanations (SHAP) to enhance interpretability. …”
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Decalcify cardiac CT: unveiling clearer images with deep convolutional neural networks by Gopinath Nagarajan, Anandh Rajasekaran, Balaji Nagarajan, Vishnu Kumar Kaliappan, Abid Yahya, Ravi Samikannu, Ravi Samikannu, Irfan Anjum Badruddin, Sarfaraz Kamangar, Mohamed Hussien

“…Calcification in the coronary arteries and cardiac structures can significantly impact the quality of the images and hinder precise diagnostics. …”
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Experiences of older adult Filipino-Americans surrounding eye surgery and factors in health decision-making: a qualitative study by Marycon C. Jiro, Michael Sigua, Migel Dio, Lauren Hennein, Jennifer Cocohoba

“…Data were collected through semi-structured in-depth interviews. A thematic analysis was performed informed by critical race theory and PEN3 cultural model. …”
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Comparison of Neural Network, Ordinary Kriging, and Inverse Distance Weighting Algorithms for Seismic and Well-Derived Depth Data: A Case Study in the Bjelovar Subdepression, Croat... by Ana Brcković, Tomislav Malvić, Jasna Orešković, Josipa Kapuralić

“…The obtained maps were compared based on square error (using k-fold cross-validation) and the visual interpretation of isopaches. Two other algorithms were also tested, namely, random forest (RF) and extreme gradient boosting (XGB) algorithms, but they were rejected as inappropriate for this purpose solely based on the visuals of the obtained maps, which did not follow any interpretable geological structures. …”
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