Deep Residual Network With Integrated StarDist Nuclei Segmentation for Papillary Thyroid Cancer Identification: A Pathologist-Inspired Approach by Nabila Husna Shabrina, Dadang Gunawan, Mia Rizkinia, Agnes Stephanie Harahap, Mohammad Ikhsan, Rifai Chai, Maria Francisca Ham

“…This study proposes a deep residual network with integrated StarDist nuclei segmentation to enhance the model’s ability to focus on critical cellular structures when making predictions. …”
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Artificial neural network algorithm for time dependent radiative Casson fluid flow with couple stresses through a microchannel by Pradeep Kumar, Felicita Almeida, Qasem Al-Mdallal

“…It helps in analysing large datasets which might be difficult to accomplish by conventional models. They help in modelling and analysing complex fluid flow problems and when properly trained they help in predicting the flow structures. …”
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Predictive Framework for Sustainable Engineering through Machine Learning and Cross-Sector Collaboration by Choudhary Abhik, Adhikari Upasana, Roy Dipankar, Gupta Subir, Roy Priyanka, Bhaduri Aparna

“…An Extra Trees Classifier was trained to perform binary classification of project success deemed as primary indicators, evaluating performance through accuracy, precision, recall, F1 score, log loss, and MSE. The model achieved 96% accuracy and 0.733 F1 score. Feature importance analysis corroborated interpretability of model predictions. …”
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Verification of Opacity Under a <i>K</i>-Delay Orwellian Observation Mechanism by Jiahui Zhang, Kuize Zhang, Xiaoguang Han, Zhiwu Li

“…In this paper, instead of adopting a fully static observation model or a fully dynamic observation model, we use a novel Orwellian-type observation model to study the verification of the current-state opacity (CSO), where the observability of an unobservable event can be re-interpreted once certain/several specific conditions are met. …”
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Epistemological Transformation of ʿUrf in the DSN-MUI Fatwa on E-Commerce: A Maqāṣid al-Sharīʿah Based Analysis by Sanuri, Nafi' Mubarok, Suqiyah Musafa’ah, Yoga Irama

“…Employing a qualitative-normative approach, the research analyzes Fatwa No. 146/2021, issued by the National Sharia Council of the Indonesian Ulema Council (DSN-MUI), classical and contemporary fiqh sources, and emerging digital transaction models. It integrates concepts from uṣūl al-fiqh, maqāṣid al-sharī‘ah, and socio-philosophical reasoning to reconceptualize ʿurf as a dynamic category of legal interpretation. …”
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Enhanced Learning Behaviors and Ability Knowledge Tracing by Fanglan Ma, Changsheng Zhu, Peng Lei, Peiwen Yuan

“…The LBAKT model is structured into four layers: embedding, learning, forgetting, and predicting. …”
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Lithuania's Poles and Russians: two different perspectives by Virginijus Savukynas

“…Therefore, according to the author, the aim of the article is to show how and to what extent does the culture, which is understood as a constellation of symbolic structures and structures of meaning, determine the structures of social reality. …”
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Quo Vadis „Living Human Treasures”? by Nicolae Lupu, Mihail Ovidiu Tănase, Petronela Tudorache

“…Furthermore, it would avoid the exhausting movements of artisans at the various trade fairs, being preferable to receive the audience in their personal household tranquility. A series of semi structured personal interviews with some LHT confirm this hypothesis. …”
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Predicting Clay Swelling Pressure: A Comparative Analysis of Advanced Symbolic Regression Techniques by Esteban Díaz, Roberto Tomás

“…These methods provide interpretable results as equations, unlike standard machine learning models. …”
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Vertical Slowness-Constrained Joint Anisotropic Parameters and Event-Location Inversion for Downhole Microseismic Monitoring by Congcong Yuan, Jie Zhang

“…Ignoring anisotropy can result in significant distortions in microseismic event locations and their interpretation. Although methods exist to simultaneously invert anisotropic parameters and event locations using microseismic arrival times, the results heavily depend on accurate initial models and sufficient ray coverage due to strong trade-offs among multiple parameters. …”
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Scene Graph and Natural Language-Based Semantic Image Retrieval Using Vision Sensor Data by Jaehoon Kim, Byoung Chul Ko

“…This confirms that the model effectively retrieves semantically relevant images by structurally interpreting complex scenes.…”
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Linguistics Specificity of Universities Prospectuses: A Corpus-Based Genre Analysis by Aiman Qaiser, Syed Shujaat Ali, Naveed-Ur-Rehman Khattak

“…This study investigates the specific lexical choices found in university prospectuses while examining the linguistic structures that define their textual characteristics and determining the genre type by comparing it with similar text types to understand the unique language features of these documents. …”
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Cyber intrusion detection using ensemble of deep learning with prediction scoring based optimized feature sets for IOT networks by Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Vaishali H. Kamble

“…Additionally, to enhance interpretability and support decision-making, we incorporate the Exploit Prediction Scoring System (EPSS), which evaluates prediction scores and provides detailed insights, thereby improving overall model performance. …”
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Architectural Gaps in Generative AI: Quantifying Cognitive Risks for Safety Applications by He Wen, Pingfan Hu

“…<b>Background</b>: The rapid integration of generative AIs, such as ChatGPT, into industrial, process, and construction management introduces both operational advantages and emerging cognitive risks. While these models support task automation and safety analysis, their internal architecture differs fundamentally from human cognition, posing interpretability and trust challenges in high-risk contexts. …”
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Multi-User Satisfaction-Driven Bi-Level Optimization of Electric Vehicle Charging Strategies by Boyin Chen, Jiangjiao Xu, Dongdong Li

“…Empirical results indicate that the proposed typology-driven approach yields a 32.6% average cost reduction across user groups relative to baseline charging protocols, with statistically significant improvements in expenditure optimization (<i>p</i> < 0.01). Further interpretability analysis employing gradient-weighted class activation mapping (Grad-CAM) demonstrates that the model’s attention mechanisms are well aligned with theoretically anticipated demand prioritization patterns across the distinct user types, thereby confirming the decision-theoretic soundness of the framework.…”
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Advancing perovskite solar cells: Optical characterization and performance enhancement via spectroscopic ellipsometry by Eri Widianto, Bhisma Mahendra, Muhammad Riswan, Frendy Jaya Kusuma, Kardiman, Eka Nurfani, Indra Pardede, Natalita Maulani Nursam, Kuwat Triyana, Iman Santoso

“…Specifically, this review examines the analytical approaches for analyzing the perovskite properties, selecting theoretical optical models and data fitting methods, extracting key optical constants, and interpreting SE measurements. …”
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Research progress in deep learning-based fundus image analysis for the diagnosis and prediction of hypertension-related diseases by Ping Li, Juan Tao, Quan Yuan, Rongqing Zhang, Peng Gao

“…Nonetheless, current models still face challenges in generalizability, robustness to low-quality images, and clinical interpretability. …”
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Workforce Recruitment Through Pre‐Nursing Vocational and Education Training Schemes. A Qualitative Evaluation Through a Social Capital Lens by Marion Waite, Jane Appleton, Kathleen Greenway, Robert Crookston, Sanj Nathoo, Catherine Henshall

“…Methods This qualitative study comprised online, semi‐structured interviews of nine stakeholders and eight trainees from one United Kingdom region in which two pre‐nursing VET scheme models were implemented. …”
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Barriers and facilitators of inpatients and healthcare professionals prior to the implementation of a Multidisciplinary Lifestyle-Focused Approach in the Treatment of Inpatients Wi... by Myrthe M.E. van Schothorst, Natascha M. den Bleijker, Peter N. van Harten, Nanne K. De Vries, Jeroen Deenik

“…Data was collected through semi-structured interviews for recipients and an online survey for deliverers. …”
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Blueprint for Constructing an AI-Based Patient Simulation to Enhance the Integration of Foundational and Clinical Sciences in Didactic Immunology in a US Doctor of Pharmacy Program... by Ashim Malhotra, Micah Buller, Kunal Modi, Karim Pajazetovic, Dayanjan S. Wijesinghe

“…Here, we present the step-by-step prompt engineering protocol as a toolkit. The system was structured around three core components in an immunology team-based learning activity: (1) symptomatology analysis, (2) laboratory test interpretation, and (3) pharmacist role definition and PPCP. …”
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