Before software developers actually start coding, an essential requirement is to be proficient in a programming language. However, as an important learning resource, programming language textbooks usually contain much...
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An end-traction lower extremity rehabilitation robot named ETLER is designed to meet the rehabilitation needs of patients with lower extremity dysfunction at all stages of recovery, while taking into account the ease ...
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Using large language model to generate vehicle type recognition algorithm can reduce the burden of developers and realize the rapid development of projects. In this paper, LangChain large model interface provided by B...
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The rapid development of single-cell RNA sequencing (scRNA-seq) technology has enabled researchers to explore gene expression differences at the level of individual cells, revealing more refined cell types and states....
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Parameter-efficient finetuning (PEFT) is a key technique for adapting large language models (LLMs) to downstream tasks. In this paper, we study leveraging knowledge graph embeddings to improve the effectiveness of PEF...
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Local search has been widely applied to solve the well-known (weighted) partial MaxSAT problem, significantly influencing many real-world applications. The main difficulty to overcome when designing a local search alg...
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Machine learning engineering is an important technology that has attracted the attention of academia and industry in the past two years. For AI to become a productivity of enterprises, it must be engineered to solve t...
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Colon cancer is a type of cancer caused by polyps that become malignant within the colon or rectum. Dealing with colon cancer effectively requires the diagnosis of the cancer at an early stage, which is of vital impor...
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The prevalence of long-tailed distributions in real-world data often results in classification models favoring the dominant classes,neglecting the less frequent *** approaches address the issues in long-tailed image c...
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The prevalence of long-tailed distributions in real-world data often results in classification models favoring the dominant classes,neglecting the less frequent *** approaches address the issues in long-tailed image classification by rebalancing data,optimizing weights,and augmenting ***,these methods often struggle to balance the performance between dominant and minority classes because of inadequate representation learning of the *** address these problems,we introduce descriptional words into images as cross-modal privileged information and propose a cross-modal enhanced method for long-tailed image classification,referred to as *** improves the learning of intraclass similarity of tail-class representations by cross-modal alignment and captures the difference between the head and tail classes in semantic space by cross-modal *** fusing the above information,CMLTNet achieved an overall performance that was better than those of benchmark long-tailed and cross-modal learning methods on the long-tailed cross-modal datasets,NUS-WIDE and *** effectiveness of the proposed modules was further studied through ablation *** a case study of feature distribution,the proposed model was better in learning representations of tail classes,and in the experiments on model attention,CMLTNet has the potential to help learn some rare concepts in the tail class through mapping to the semantic space.
High-mobility semiconductor nanotubes have demonstrated great potential for applications in high-speed transistors,single-charge detection,and memory *** we systematically investigated the electronic properties of sin...
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High-mobility semiconductor nanotubes have demonstrated great potential for applications in high-speed transistors,single-charge detection,and memory *** we systematically investigated the electronic properties of single-walled boron antimonide(BSb)nanotubes using first-principles *** observed that rolling the hexagonal boron antimonide monolayer into armchair(ANT)and zigzag(ZNT)nanotubes induces compression and wrinkling effects,significantly modifying the band structures and carrier mobilities through band folding andπ^(*)-σ^(*)*** the chiral index increases,the band gap and carrier mobility of ANTs decrease monotonically,where electron mobility consistently exceeds hole *** contrast,ZNTs exhibit a more complex trend:the band gap first increases and then decreases,and the carrier mobility displays oscillatory *** particular,both ANTs and ZNTs could exhibit significantly higher carrier mobilities compared to hexagonal monolayer and zinc-blende BSb,reaching 10^(-3)-10^(-7) cm^(-2)·V^(-1)·s^(-1).Our findings highlight strong curvature-induced modifications in the electronic properties of single-walled BSb nanotubes,demonstrating the latter as a promising candidate for high-performance electronic devices.
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