Information Extraction(IE)aims to extract structural knowledge from plain natural language ***,generative Large Language Models(LLMs)have demonstrated remarkable capabilities in text understanding and *** a result,num...
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Information Extraction(IE)aims to extract structural knowledge from plain natural language ***,generative Large Language Models(LLMs)have demonstrated remarkable capabilities in text understanding and *** a result,numerous works have been proposed to integrate LLMs for IE tasks based on a generative *** conduct a comprehensive systematic review and exploration of LLM efforts for IE tasks,in this study,we survey the most recent advancements in this *** first present an extensive overview by categorizing these works in terms of various IE subtasks and techniques,and then we empirically analyze the most advanced methods and discover the emerging trend of IE tasks with *** on a thorough review conducted,we identify several insights in technique and promising research directions that deserve further exploration in future *** maintain a public repository and consistently update related works and resources on GitHub(LLM4IE repository).
Broad learning system (BLS) has to undergo a vectorization operation before modeling image data, which makes it challenging for BLS to learn local semantic features. Thus, various convolutional-based broad learning sy...
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Skeleton-based methods in Gait Emotion Recognition (GER) that abstract gait as a spatial-temporal graph in a non-Euclidean space have achieved remarkable success. However, existing studies neglect capturing crucial sp...
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Prerequisite learning is the task of identifying prerequisite relations among concepts, which is important for many AI-based educational applications. Previous approaches explore different kinds of learning resources ...
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Porous Ti with low modulus,excellent bio-corrosion resistance,biocompatibility,and antibacterial activity is highly pursued as advanced implant *** this work,a new approach to prepare micron porous structures on the s...
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Porous Ti with low modulus,excellent bio-corrosion resistance,biocompatibility,and antibacterial activity is highly pursued as advanced implant *** this work,a new approach to prepare micron porous structures on the surface layer of a grade 2 commercially-pure Ti(TA2)was proposed,which utilized a simple vacuum wetting process of pure Ag on the surface of *** microstructure,corrosion resistance,biocompatibility,mechanical properties,antibacterial ability,and formation mechanism of the asfabricated porous Ti were *** results show that the pores(with average pore sizes of 0.5-5μm)are distributed on the surface layer of the TA2 with a depth of~10μ*** particular,a large number of silver nanoparticles(Ag NPs)form which are dispersed on the porous *** formation mechanisms of the porous structures and Ag NPs were elucidated,suggesting that the volatilization/sublimation of Ag in TA2 is *** porous Ti possesses excellent bio-corrosion resistance,surface wettability,biocompatibility,antibacterial activity,and a relatively low elastic modulus of 40-55 GPa,which may have a promising future in the field of orthopedic *** work also provides a novel idea for the development of advanced porous Ti materials for orthopedic-related basic research and biomedical applications.
The demand for multifunctional neural interfaces has grown due to the need to provide a better understanding of biological mechanisms related to neurological diseases and neural *** intracerebral drug injection using ...
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The demand for multifunctional neural interfaces has grown due to the need to provide a better understanding of biological mechanisms related to neurological diseases and neural *** intracerebral drug injection using microfluidic neural interfaces is an effective way to deliver drugs to the brain,and it expands the utility of drugs by bypassing the blood-brain barrier(BBB).In addition,uses of implantable neural interfacing devices have been challenging due to inevitable acute and chronic tissue responses around the electrodes,pointing to a critical issue still to be *** neural interfaces comprised of a collection of microneedles in an array have been used for various applications,it has been challenging to integrate microfluidic channels with them due to their characteristic three-dimensional structures,which differ from two-dimensionally fabricated shank-type neural *** we present a method to provide such three-dimensional needle-type arrays with chemical delivery *** fabricated a microfluidic interconnection cable(pFIC)and integrated it with a flexible penetrating microelectrode array(FPMA)that has a 3-dimensional structure comprised of silicon microneedle electrodes supported by a flexible array *** successfully demonstrated chemical delivery through the developed device by recording neural signals acutely from in vivo brains before and after KCl *** suggests the potential of the developed microfluidic neural interface to contribute to neuroscience research by providing simultaneous signal recording and chemical delivery capabilities.
Aiming at the problem that the robot is limited by the state space when moving in complex environment, it cannot provide a reasonable speed model for practical planning. a new method combining Dynamic Window Approach ...
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This study investigates the stiffness characteristics of the Sprint Z3 head, also known as 3- PRS Parallel Kinematics Machines, which are among the most extensively researched and viably successful manipulators for pr...
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ISBN:
(数字)9798350395969
ISBN:
(纸本)9798350395976
This study investigates the stiffness characteristics of the Sprint Z3 head, also known as 3- PRS Parallel Kinematics Machines, which are among the most extensively researched and viably successful manipulators for precision machining applications. Despite the wealth of research on these robotic manipulators, no previous work has demonstrated their stiffness performance within the parasitic motion space. Such an undesired motion influences their stiffness properties, as stiffness is configuration-dependent. Addressing this gap, this paper develops a stiffness model that accounts for both the velocity-level parasitic motion space and the regular workspace. Numerical simulations are provided to illustrate the stiffness characteristics of the manipulator across all considered spaces. The results indicate that the stiffness profile within the parasitic motion space is both shallower and the values are smaller when compared to the stiffness distribution across the orientation workspace. This implies that evaluating a manipulator's performance adequately requires assessing its ability to resist external loads during parasitic motion. Therefore, comprehending this aspect is crucial for redesigning components to enhance overall stiffness.
With the rise of the metaverse, immersive multimodal conversation has attracted more and more researchers’ attention. Multimodal contexts will become more important for human-computer interaction in the metaverse, es...
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Many existing metric learning methods are based on fixed similarity constraints. However, the quality of fixed similarity constraints is usually hard to guarantee, and inflexible constraints also limit the performance...
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