A5011669334- Natural Language Processing Techniques
- Topic Modeling
- Hydraulic and Pneumatic Systems
- Biomedical Text Mining and Ontologies
- Refrigeration and Air Conditioning Technologies
- Oil and Gas Production Techniques
- Tribology and Lubrication Engineering
- Vibration and Dynamic Analysis
- Iterative Learning Control Systems
- Control Systems in Engineering
- Heat Transfer Mechanisms
- Advanced Text Analysis Techniques
- Electric Motor Design and Analysis
- Aerodynamics and Acoustics in Jet Flows
- Fluid Dynamics and Turbulent Flows
- Gear and Bearing Dynamics Analysis
- Cavitation Phenomena in Pumps
Purdue University West Lafayette
2022-2024
Dalian University of Technology
2022-2024
Shanghai Jiao Tong University
2019
Most existing fine-tuned biomedical large language models (LLMs) focus on enhancing performance in monolingual question answering and conversation tasks. To investigate the effectiveness of LLMs diverse natural processing (NLP) tasks different languages, we present Taiyi, a bilingual LLM for NLP
Abstract The BioRED track at BioCreative VIII calls for a community effort to identify, semantically categorize, and highlight the novelty factor of relationships between biomedical entities in unstructured text. Relation extraction is crucial many natural language processing (NLP) applications, from drug discovery custom medical solutions. simulates real-world application relationship extraction, as such, considers multiple entity types, normalized their specific corresponding database...
Abstract This paper presents a numerical modeling approach for investigating crescent‐type internal gear pumps (CIGPs) considering radial micromotions of both gears. The couples lumped parameter pressure solver on the bulk fluid domain, with transient computational dynamics film simulator based gap geometries solved from loading forces. Simulation results commercial unit shows that wide range operating conditions, model gives volumetric efficiency predictions errors less than 2 % comparing...
Objective: Most existing fine-tuned biomedical large language models (LLMs) focus on enhancing performance in monolingual question answering and conversation tasks. To investigate the effectiveness of LLMs diverse NLP tasks different languages, We present Taiyi, a bilingual LLM for Materials Methods: first curated comprehensive collection 140 text mining datasets (102 English 38 Chinese datasets) across over 10 task types. Subsequently, two-stage strategy is proposed supervised fine-tuning...
Abstract Lumped parameter approaches for the description of flow displaced by hydrostatic pumps and motors have proven to be very effective both analysis design purposes. However, while these methods are relatively easy implement most existing architectures positive displacement machines, case a crescent-type internal gear machine (CIGM) presents clear challenges as it pertains definition lumped control volumes within machine. This paper proposes an original scheme defining CIGM with...
Abstract Biomedical Relation Extraction (RE) is central to Natural Language Processing and crucial for various downstream applications. Existing RE challenges in the field of biology have primarily focused on intra-sentential analysis. However, with rapid increase volume literature complexity relationships between biomedical entities, it often becomes necessary consider multiple sentences fully extract relationship a pair entities. Current methods fail capture complex semantic structures...
Abstract This work presents a model-based study of crescent-type internal gear pump total efficiency, the measure between output and input energy machine. The proposed numerical approach couples lumped parameter simulation fluid pressure within inter-teeth volumes, CFD lubricating interfaces, micromotions pressure-compensating components. paper’s tool developed in C++ constitutes software Multics’ core for pumps. efficiency predictions from model show consistency with measurements performed...