Key components in the professional ethics of sign language interpreters in healthcare contexts: a qualitative study in Colombia by Nora Ellen Groce, Samia Hurst, Laura Catalina Izquierdo Martínez, Angela Martínez-R, Jessica Cuculick, Minerva C Rivas Velarde

“…Objectives To identified the core components of professional ethics for medical sign language interpreters and develop a framework based on empirical data from Colombian sign language (CSL) interpreters.Design Purposive and snowball sampling methods were used in this qualitative study, which involved conducting semistructured interviews to CSL interpreters. …”
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Preliminary Interpretation of the Ground Magnetic Survey around Oguta Lake in Imo State, South Eastern Nigeria by FI Chinyem

“…@JASEM Keywords: Ground magnetic profiling, interpretation, Oguta Lake, Anomaly, Tectonic Origin J. …”
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Screen interpretation of Franz Kafka's novel 'The Trial': Interaction of the author with the s­cript writer and film director by K.V. Arjantzeva

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Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data by Mihkel Kotli, Geven Piir, Uko Maran

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Critique of Forough Farrokhzad's “Let’s Believe in the Beginning of the Cold Season” with the Interpretive Semiotic Approach of Umberto Eco by Shirzad Tayefi, Niloofar Bakhtiari

“…., are examined in an all-round textual and contextual interpretation and are measured using the axes derived from the four Aristotelian causes to provide a scientific and standard interpretation, from the point of view of the reader of the model. …”
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A Review of Brain–Computer Interface-Based Language Decoding: From Signal Interpretation to Intelligent Communication by Yingyi Qiu, Han Liu, Mengyuan Zhao

“…Here, we propose the Interpretation–Communication–Interaction (ICI) architecture, a novel three-stage perspective that provides an analytical lens for examining BCI-based language decoding development. …”
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Interpretative Phenomenological Analysis (IPA) for Journalism Studies: Making Sense of Journalists’ Sense-Making of Digital Disruptions by Amira Firdaus, Iffat Ali Aksar, Jiankun Gong, Muhammad Zaiamri Zainal Abidin, Haroon ur Rasheed Baloch, Edward Gomez

“…This paper invites readers to explore Interpretative Phenomenological Analysis (IPA), a rich analytical tradition from qualitative psychology and health studies and demonstrates its applicability in journalism research. …”
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Thermal Conductivity of Thermally Insulated Concretes in a Nuclear Safety Vessel of Reactor Vault: Experimental Interpretation by M. Anish, T. Arunkumar, J. Jayaprabakar, Sami Al Obaid, Saleh Alfarraj, M. M. Raj, Assefa Belay

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Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay by David Bermejo-Peláez, Ana Alastruey-Izquierdo, Narda Medina, Daniel Capellán-Martín, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodríguez-Tudela

“…However, their subjective interpretation poses a limitation. Our objectives encompass the development and validation of a digital platform based on Artificial Intelligence (AI), assessing its semi-quantitative LFA interpretation performance, and exploring its potential to quantify CrAg concentrations directly from LFA images. …”
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Philosophy in Engineering Systems of Action: Analysis and Interpretation of the Selected Ontological Aspects of Józef Konieczny’s Theory of Action by Smolnik Maksymilian

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Evaluating physician concordance in interpretation of tracheobronchomalacia diagnosis and phenotyping using dynamic expiratory chest computed tomography by G. A. Cortes-Puentes, M. Matatko, B. J. Bartholmai, E. S. Edell, K. G. Lim

“…Three specialists—a thoracic radiologist, a bronchoscopist, and a pulmonologist—reviewed identical CT scans, blinded to prior interpretations. Inter-rater agreement was assessed using Fleiss’s Kappa for TBM diagnosis and Cohen’s Kappa for TBM phenotype classification into six categories: No TBM, Excessive Dynamic Airway Collapse (EDAC), Crescent Type, Circumferential Type, Saber-Sheath Type, and Mixed Type. …”
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Human interpretable structure-property relationships in chemistry using explainable machine learning and large language models by Geemi P. Wellawatte, Philippe Schwaller

“…Our results show that XpertAI combines the strengths of LLMs and XAI tools in generating specific, scientific, and interpretable explanations.…”
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LİVÂYÎ’NİN MANZÛM TEBÂREKE (MÜLK SÛRESİ) TEFSÎRİ / LIVAYI’S POETICAL INTERPRETATION OF “TABARAKA” (SURA MULK) by Ahmet Sevgi

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The state’s attitude towards religious communities in a health crisis: pursuing toward new interpretative approaches? by Adelaide Madera

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SmartSkin-XAI: An Interpretable Deep Learning Approach for Enhanced Skin Cancer Diagnosis in Smart Healthcare by Sultanul Arifeen Hamim, Mubasshar U. I. Tamim, M. F. Mridha, Mejdl Safran, Dunren Che

“…Traditional AI models often struggle with balancing accuracy and interpretability, which are critical for clinical adoption. …”
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Exploring the path to pathos “Lived experiences of parents of children with autism spectrum disorder”: An interpretative phenomenological analysis by Rajeev Ranjan, Meha Jain, Pankaj Kumar, Gabby Sethi, Jai Singh

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Development of a respiratory virus risk model with environmental data based on interpretable machine learning methods by Shuting Shi, Haowen Lin, Leiming Jiang, Zhiqi Zeng, ChuiXu Lin, Pei Li, Yinghua Li, Zifeng Yang

“…The SHAP framework was employed to interpret the model’s predictions, revealing significant contributions from parameters such as age, NO2 levels, and meteorological conditions. …”
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Impact of Operational and Financial Efficiency on Aviation Stock Prices: A Machine Learning Model with SHAP Interpretability by Ahmet Akusta

“…SHAP values provided interpretable insights into the model's predictions, allowing for a better understanding of the relative importance of different features. …”
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HI-CMAIM: Hybrid Intelligence-Based Multi-Source Unstructured Chinese Map Annotation Interpretation Model by Jiaxin Ren, Wanzeng Liu, Jun Chen, Xiuli Zhu, Ran Li, Tingting Zhao, Jiadong Zhang, Yuan Tao, Shunxi Yin, Xi Zhai, Yunlu Peng, Xinpeng Wang

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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

“…Furthermore, it enhances the interpretability of the XGBoost model through SHAP analysis to guide clinical decision-making.…”
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