Integrating Financial Knowledge for Explainable Stock Market Sentiment Analysis via Query-Guided Attention by Chuanyang Hong, Qingyun He

“…While prioritizing interpretability, the proposed model also achieves a 2.3% F1 score improvement over baselines, uniquely offering both competitive performance and structured, domain-specific explainability. …”
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Machine Learning in Biomedical Informatics: Optimizing Resource Allocation and Energy Efficiency in Public Hospitals by Agostino Marengo, Vito Santamato, Massimo Iacoviello

“…Model performance was optimized using calibration techniques, while interpretability was enhanced through SHAP (SHapley Additive exPlanations), which identified the most influential clinical areas affecting both efficiency and energy expenditure. …”
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The long way towards the development of sportive talents by Lenamar Fiorese Vieira, José Luiz Lopes Vieira, Ruy Jornada Krebs

“…The bioecological paradigm, person – process – context – time, was the study model. The personal form of the subjects, a semi-structured interview, the research diary, and other documents were used for data collecting. …”
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Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach by Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam

“…These findings emphasize the efficiency of knowledge distillation in deploying deep learning models in resource-constrained environments. Integrating deep learning with knowledge distillation techniques not only enhances the accuracy of seismic interpretation models but also makes them more feasible for practical applications, offering a powerful tool for seismic exploration and potentially transforming how seismic data is processed for subsurface characterization and accelerating decision-making in exploration and production.…”
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A Dehazing Method for UAV Remote Sensing Based on Global and Local Feature Collaboration by Chenyang Li, Suiping Zhou, Ting Wu, Jiaqi Shi, Feng Guo

“…This design significantly enhances the network’s ability to model large-scale structures and correct non-homogeneous haze across the image. …”
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Predicting adverse drug reactions in oncology: A critical review of machine learning approaches and future directions by Abid Yahya, Phatsimo Lobelo, Afiya Eram, Sana Althaf Hussain, Irfan Anjum Badruddin, Lory Liza D. Bulay-og, Dionel O. Albina

“…We go over a variety of methods for utilizing both structured and unstructured clinical data, such as supervised, unsupervised, and deep learning models in addition to natural language processing (NLP) strategies. …”
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Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning by Masashige Shiga, Masao Sorai, Tetsuya Morishita, Masaatsu Aichi, Naoki Nishiyama, Takashi Fujii

“…Traditional characterization methods often struggle to capture the complex, heterogeneous micro-scale features of rock structures. To address this challenge, this study presents a novel approach for the classification and visualization of rock microstructure from micro-computed tomography images, leveraging pre-trained convolutional neural network (CNN) models (AlexNet, GoogLeNet, Inception v3 Net, ResNet, and DenseNet) combined with unsupervised machine learning (USML) techniques principal component analysis, multidimensional scaling, isometric mapping, t-distributed stochastic neighbor embedding (t-SNE), and uniform manifold approximation projection (UMAP)). …”
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Automated Road Extraction from Satellite Imagery Integrating Dense Depthwise Dilated Separable Spatial Pyramid Pooling with DeepLabV3+ by Arpan Mahara, Md Rezaul Karim Khan, Liangdong Deng, Naphtali Rishe, Wenjia Wang, Seyed Masoud Sadjadi

“…The procedure of automatically extracting roads from satellite imagery encounters significant challenges due to the multi-scale and diverse structures of roads; improvement in this field is needed. …”
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Data-driven support for smart renewal of urban neighbourhoods by Spela VEROVSEK, Matevz JUVANCIC, Tadeja ZUPANCIC

“…To establish the described assessment model two main research pillars are addressed: 1) the development of the structured and modular system of indicators; and 2) the development of the methodology to interpret the resulting values (efficiency, ability and productivity on different levels of human activity). …”
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Effect of Interaction Energies on the Adsorption of Glycine onto a Cu(110) Surface: A Monte Carlo Simulation by R.O. Uñac, A.M. Vidales, G. Zgrablich

“…The results obtained are qualitatively consistent with the experimental pattern observed by other authors and allow an interpretation of the different proposed theoretical models used to explain experimental data.…”
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Assessing cultural-spatial change in European border areas by Heidi Fichter-Wolf

“…Border regions in this sense are regarded as “spaces with opportunities” that – in the context of neighbourhood cooperation and intercultural communication processes – provide particular opportunity structures for different cultures moving towards each other. …”
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COMPLETELY RANDOMIZED DESIGN OF A MARKETING EXPERIMENT by CODRUŢA DURA

“…The design of the marketing experiment represents the process of anticipated structuring, by means of a statistical model or a schematic representation, of the various combinations of the analyzed variables, combinations constituting the experimental treatments envisaged to be applied to groups of experimental units. …”
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Research Status and Prospects of Distribution Network Planning Technology Based on Artificial Intelligence by LI Jingru, LI Hongjun, MA Liang, JIANG Shigong, MU Chaoxu, SI Chenyi

“…[Results] This study summarizes and analyzes the issues in artificial intelligence-based distribution network planning technologies， including difficulties in processing unstructured and semi-structured data， limited scenario applicability， low accuracy in demand deduction， lack of interpretability， and high-dimensional solution spaces for planning schemes. …”
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The Emergence of Religious Narrative by Jakub Gomułka, Jan Wawrzyniak

“…Drawing on Wittgenstein’s method of perspicuous representation (<i>übersichtliche Darstellung</i>), the authors propose a series of models that illuminate this spectrum. These models demonstrate how religious narratives achieve autonomy of a sort that challenges reductionist interpretations. …”
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Introduction of the G2-Ricci flow: Geometric implications for spontaneous symmetry breaking and gauge boson masses by Richard Pinčák, Alexander Pigazzini, Michal Pudlák, Erik Bartoš

“…By extending the Ricci flow to manifolds with G2 structures, we study the evolution of solitonic solutions and their role in spontaneous symmetry breaking in gauge theories. …”
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Unlocking Dual-Focused Empowering Leadership Behaviors Toward Multilevel Creativity: A Qualitative View by Md Mostafizur Rahman, Pengcheng Zhang, Farhana Rahman, Syed Kamran Hyder Sherazi

“…The study utilizes a triangular qualitative approach for thematic analysis using data from reviews, 5 focused group interviews, and 30 semi-structured interviews with team leaders, applying the grounded theory. …”
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Enhancement of the balanced total horizontal derivative of gravity data using the power law approach by Luan Thanh Pham, Kamal Abdelrahman, Dat Viet Nguyen, David Gomez-Ortiz, Nguyen Ngoc Long, Long Duc Luu, Thanh Duc Do, Quynh Thanh Vo, Thu-Hang Thi Nguyen, Hong-Duyen Thi Nguyen, Ahmed M. Eldosouky

“…Mapping the boundaries of subsurface geological structures constitutes a fundamental aspect of interpreting gravity data. …”
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Integrating motion capture technology and intraoral ultrasonography for 3D anatomical analysis by Soo-Bin Kim, Kang-Woo Lee, Hyungkyu Bae, Kyu-Ho Yi, Kyung-Seok Hu, Hee-Jin Kim

“…Abstract The inherent two-dimensional (2D) nature of ultrasonography (US) limits its accuracy in visualizing complex intraoral structures. This proof-of-concept feasibility study introduces a novel approach integrating motion-capture technology and three-dimensional (3D) reconstruction to overcome these limitations and improve anatomical interpretation. …”
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A core curriculum for pediatric lung ultrasound: an expert consensus by Anna Maria Musolino, Lorenzo Di Sarno, Danilo Buonsenso, Paolo Tomà, Gian Luigi Natali, Caterina Bock, Maria Alessia Mesturino, Simona Scateni, Antonio Corsello, Antonio Chiaretti, Alberto Villani, Rino Agostiniani

“…The article also addresses key challenges hindering the widespread adoption of curricula in pediatrics, including a shortage of qualified instructors, limited access to resources and training time, and the need for robust quality assurance measures and standardized image interpretation protocols. Conclusion The proposed core curriculum offers a structured educational platform to promote the systematic acquisition of lung ultrasound skills among pediatricians. …”
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SCRQE: Subjective comparative relation quintuple extraction from questions in product domain. by Marzieh Babaali, Afsaneh Fatemi, Mohammad Ali Nematbakhsh

“…Key innovations include handling X- and XOR-type preferences, capturing implicit comparative nuances, and the robust extraction of constraints often neglected in existing models. We also introduce the Smartphone-SCQRE dataset, along with another domain-specific dataset, Brands-CompSent-19-SCQRE, both structured as subjective comparative questions. …”
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