959 papers
This study demonstrates that incorporating 10% coconut husk ash into lateritic soils significantly improves their geotechnical properties, such as reduced plasticity and enhanced bearing capacity, offering a sustainable solution for constructing durable rural roads in Mozambique while valorizing agricultural waste.
This proposed descriptive cross-sectional study aims to investigate the usage patterns and learning perceptions of eighth-semester medical students at Universidade Católica Timorense regarding generative artificial intelligence, with the goal of providing baseline evidence to guide its responsible integration into Timor-Leste's medical education.
This study demonstrates that spatially arranging geometrically related chiral meta-lattice unit cells with contrasting bandgap characteristics enables the precise control of elastic wave transport, allowing for the creation of frequency-selective demultiplexing channels with tunable width and trajectory.
This case report describes the successful diagnosis and treatment of autochthonous visceral leishmaniasis in an 8-year-old Tanzanian child using molecular PCR testing after a five-month diagnostic delay involving negative microscopy and misdiagnosis, highlighting the need to include VL in the differential diagnosis for prolonged fever and splenomegaly in northern Tanzania even when traditional tests are negative.
This critical narrative review evaluates the current state and clinical translation challenges of imaging-centered artificial intelligence in precision cancer immunotherapy, highlighting its potential for multimodal biomarker integration and risk stratification while emphasizing that most existing models remain prognostic rather than predictive and require rigorous prospective validation to guide treatment decisions.
This paper introduces "NLP Psychometrics," a framework that leverages Large Language Model personas and interpretable AI techniques to link psychological prediction scores to specific linguistic features, demonstrating that while synthetic data can effectively expose biases and predict mental health outcomes like depression and life satisfaction, it cannot replace human validation.
This qualitative study applies semiotic theories to analyze graphic health warnings on Philippine cigarette packaging, revealing that while the visual and textual symbols effectively convey ideological health messages, they fail to significantly alter consumer purchasing behavior despite evolving regulatory and promotional landscapes.
This study characterizes farm system diversity in central Malawi and demonstrates that the suitability of sustainable intensification practices, particularly conservation agriculture, varies significantly across distinct farm types due to differing resource endowments and trade-offs between productivity, income, and sustainability.
This paper proposes a deterministic, scale-invariant hydrodynamic field theory that unifies fundamental interactions as pressure configurations within a continuous substrate, deriving particle masses, quantum correlations, and cosmological observations from stable topological solitons and trapped phase action while resolving several key anomalies in standard physics.
This study utilizes a large language model-assisted bibliometric analysis of highly cited 2023–2024 articles to reveal that retinal disease research is shifting from foundational imaging-based machine learning toward clinical diabetic retinopathy management, genomic studies, and deployed AI tools.