Semantic untranslatability in Quranic discourse: challenges and contextual remedies in English translation by Sultan Samah A. Almjlad

“…These include the preservation of rhetorical structures, strategic use of annotation, controlled transliteration, and translator reflexivity. …”
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Towards Human-like Artificial Intelligence: A Review of Anthropomorphic Computing in AI and Future Trends by Jiacheng Zhang, Haolan Zhang

“…Therefore, this paper proposes revisiting the history of AI development from the perspective of “anthropomorphic computing”, primarily analyzing existing AI technologies that incorporate structures or concepts resembling human brain thinking. …”
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Success Factors of Start-Up Acquisitions: Evidence from Israel by Ofer Zaks, Jan Polowczyk, Piotr Trąpczyński

“…The study employed semi-structured interviews. The practical model for analysing the transcribed interview responses was based on Shkedi’s (2003) method, drawing also from the grounded theory tradition in the process of coding and interpreting data categories. …”
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Towards decolonising the approaches of teaching and learning Indigenous African Music at a South African university: Insights from pre-service music teachers by Kutala Ngoma

“…Thematic analysis of journal entries and semi-structured interviews was employed to generate the data. …”
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Artificial intelligence based evaluation of the tri-hybridized (WS₂+Fe₃O₄+CuS) flow subjected to the thermal performance in porous systems by Sohail Ahmad, Hessa A. Alsalmah

“…Normal and streamwise velocities are decreasing functions of the Forchheimer as well as porosity parameter. The nano-structured fluid flows through Darcy-Forchheimer porous media are eminent for enhancing heat transfer in applications like heat exchangers, solar collectors, geothermal systems, and enhanced oil recovery.…”
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Shape Penalized Decision Forests for Imbalanced Data Classification by Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty

“…Furthermore, simulated datasets with visually interpretable structures showcase the model’s generalization capacity. …”
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The Role of Optical Coherence Tomography in the Diagnosis of Angle Closed Diseases of the Anterior Chamber. Part 1: Visualization of the Anterior Segment of the Eye by N. I. Kurysheva, G. A. Sharova

“…Visualization of the structures of the anterior segment of the eye is an important part of the strategy aimed at solving the problem of identifying risk factors, diagnosing, monitoring and evaluating the effectiveness of treatment of diseases of primary angle closure. …”
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The Clinical Judgment Of Nurses In Fall Risk Assessment by Fabiana Maria de Almeida, Rosemeiry Capriata de Souza Azevedo, Annelita Almeida Oliveira Reiners, Roselma Marcele da Silva Alexandre

“…The data were collected from March to August 2013 using a semi-structured interview and were assessed through thematic analysis based on Tanner’s clinical judgment model (2006). …”
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Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

“…We provide a visual method that aids the interpretation of neuroimaging‐based classification results of the three main parkinsonian syndromes, improving clinical interpretability.…”
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Improved A-Line and B-Line Detection in Lung Ultrasound Using Deep Learning with Boundary-Aware Dice Loss by Soolmaz Abbasi, Assefa Seyoum Wahd, Shrimanti Ghosh, Maha Ezzelarab, Mahesh Panicker, Yale Tung Chen, Jacob L. Jaremko, Abhilash Hareendranathan

“…This loss function incorporates boundary-specific penalties into a hybrid Dice-BCE formulation, allowing for more accurate segmentation of critical structures. The proposed framework was tested on a dataset of 4599 LUS images. …”
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DDI-KGAT: A Graph Attention Network on Biomedical Knowledge Graph for the Prediction of Drug-Drug Interactions by Iqra Naseer Kundi, Shahzad Amin Sheikh, Fahad Mumtaz Malik, Kamran Aziz Bhatti

“…This allows KGAT to effectively mine high-order structures and semantic relationships within the knowledge graph. …”
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Data-Driven Spatial Analysis: A Multi-Stage Framework to Enhance Temporary Event Space Attractiveness by Yen-Khang Nguyen-Tran, Aliffi Majiid, Riaz-ul-haque Mian

“…From a data perspective, the proposed model improves the analysis of complex qualitative datasets and supports a more accurate interpretation of public event experiences. …”
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The experience of Italian student athletes enrolled in a dual career university program: the challenges of employability by Mattia Belluzzi, Alessia Ferraboli, Caterina Gozzoli, Chiara D’Angelo

“…Using a phenomenological-interpretive approach, semi-structured interviews and focus groups were conducted with participants. …”
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Mitochondrial DNA phylogeography of the Norway rat. by Ying Song, Zhenjiang Lan, Michael H Kohn

“…We trace laboratory strains to wild lineages from Europe and North America and these represent a subset of the diversity of the rat; leaving Asian lineages largely untapped as a resource for biomedical models. By studying rats from Europe we made the observation that mtDNA diversity cannot be interpreted without consideration of pest control and, possibly, the evolution of rodenticide resistance. …”
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MCO Perspectives on Medicaid Policy: Racial Equity in Pregnancy and Child Health by Christine McClure, Cynthia Salter, Dara D. Méndez, Evan S. Cole, Sarah A. Sanders, Sydney Sharp, Marquita Smalls, Linda Adodoadji, Adena Bowden, Marian Jarlenski

“…Methods: Qualitative, semi-structured group interviews with representatives (n = 30) from the six Medicaid MCOs in Pennsylvania were completed in the summer of 2022. …”
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“We need all hands on deck”: characterizing addiction medicine training in Canada—a mixed methods study of fellowship program directors by Clara Lu, Kathryn Chan, Leslie Martin, Nadia Fairbairn

“…In Phase 2, participants underwent a qualitative semi-structured interview that was coded with a thematic analysis approach. …”
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Complex Diophantine interval-valued Pythagorean normal set for decision-making processes by Murugan Palanikumar, Nasreen Kausar, Ponnaiah Tharaniya, Željko Stević, Fikadu Tesgera Tolasa

“…We calculated the weighted average and geometric distance based on an aggregating model. We demonstrate that complex Diophantine interval-valued Pythagorean normal sets satisfy algebraic structures such as associative, distributive, idempotent, bounded, commutative and monotonic properties. …”
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Predicting and Understanding Disorders of Consciousness of Sleep Patients Through Multimodal Data Fusion and Temporal Attention Mechanisms by Haixia Pan, Haotian Geng, Pingshu Zhang, Xiaodong Yuan

“…The model’s interpretability, achieved through attention mechanisms and feature importance analysis, provides valuable insights into the temporal dynamics of physiological signals and the relative importance of clinical factors in consciousness assessment, highlighting the critical role of cardiovascular and respiratory metrics, as well as sleep architecture features. …”
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CONDUCTIVE ZONES IN THE LITHOSPHERE OF THE FOLD BELT OF EURASIA AND THEIR RELATIONSHIP TO MODERN GEODYNAMIC PROCESSES by V. V. Belyavsky, Iv. M. Varentsov, I. N. Lozovsky

“…The results have contributed to the development of the geological and geophysical database for seismic zoning, identification of active tectonic structures, and exploration of mineral resources. In the course of integrated interpretation of the MT data, regional geoelectric models have been constructed, conductive anomalies have been related to low-velocity and high-absorption zones, deep-seated conductive faults and rheologically weak zones have been identified, and their relationship to the location of earthquake hypocenters and miscellaneous volcanic features has been studied. …”
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Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches by Divesh Ranjan Kumar, Warit Wipulanusat

“…Each model can offer unique strengths, with BI-LSTM and LSTM excelling at learning sequential dependencies, whereas XGBoost and RF provide powerful and often interpretable results from structured tabular data. …”
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