Sentiment analysis is a vital tool for uncovering insights from financial articles, news, and social media, shaping our understanding of market movements. Despite the impressive capabilities large language models (LLMs) in natural processing (NLP), they still struggle with accurately interpreting numerical values grasping context, limiting their effectiveness predicting sentiment. In this paper, we introduce simple yet effective instruction tuning approach to address these issues. By...

Abstract The contact fatigue of aviation gears has become more prominent with greater demands for heavy-duty and high-power density gears. Meanwhile, the coexistence tooth damage profile wear leads to a complicated competitive mechanism between surface-initiated failure subsurface-initiated failures. To address this issue, fatigue-wear coupling model an gear pair was developed based on elastic-plastic finite element method. surface roughness considered, its evolution during repeated meshing...

Chinese Spelling Correction (CSC) is a task to detect and correct misspelled characters in texts. CSC challenging since many are visually or phonologically similar but with quite different semantic meanings. Many recent works use BERT-based language models directly each character of the input sentence. However, these methods can be sub-optimal they every sentence only by context which easily negatively affected characters. Some other propose an error detector guide correction masking...

If L is an oriented link with n components, then the rank of its Khovanov homology at least 2^{n} . We classify all links that achieve this lower bound and show such can be obtained by iterated connected sums disjoint unions Hopf unknots. This gives a positive answer to question asked Batson Seed (2015).

We develop a framework that generalizes Budney-Gabai's $W_3$ invariant on $\pi_0\textrm{Diff}(S^1\times D^3,\partial)$ to 4-manifolds with 1-handles. As applications, we show if $M=(S^1\times D^3)\natural \hat M$ where $\hat either has the form $I\times Y$ or is punctured aspherical manifold, then center of mapping class group $M$ infinite rank.

Sonar remains a major way to detect and discriminate underwater targets by interpreting the echoes. In this study, we used broadband dolphin clicks classify targets. The peak notch features of echo spectra were coded, echoes obtained using five-click trains, with number changing from 1 50. Codes containing target interpretation classified convolutional neural networks (CNNs). Compared single click, increasing 5, 10, 20, 50 in train would gradually improve classification rate 3%, 6.1%, 8.2%,...

Representing and synthesizing novel views in real-world dynamic scenes from casual monocular videos is a long-standing problem. Existing solutions typically approach by applying geometry techniques or utilizing temporal information between several adjacent frames without considering the underlying background distribution entire scene transmittance over ray dimension, limiting their performance on static occlusion areas. Our backdrop-driven neural radiance fields offers high-quality view...

Computer-aided diagnosis (CAD) can help doctors in diagnosing breast cancer. Breast ultrasound (BUS) imaging is harmless, effective, portable, and the most popular modality for cancer detection/diagnosis. Many researchers work on improving performance of CAD systems. However, there are two main shortcomings: (1) Most existing methods based prerequisites that one only tumor image. (2) The results depend datasets, i.e., an algorithm using different datasets may obtain performances. It implies...

Ensemble learning is a powerful machine paradigm which leverages collection of diverse base learners to achieve better prediction performance than that could be achieved by any individual learner. This work proposes an evolutionary feature subspaces generation based ensemble framework, formulates the tasks searching for most suitable subspace each learner into multi-task optimization problem and solve it via optimizer. Multiple such problems correspond different are solved simultaneously...

Abstract The Lundberg-Palmgren (L-P) fatigue life formula, as a statistical theory, has been widely used in the industry. However, its direct applicability is limited to components treated by surface strengthening technologies. Rolling contact tests and integrity measurements of American Iron Steel Institute (AISI) 9310 rollers with several treatments were performed address this issue. Based on these results, modified L-P model was proposed, enabling consideration modification including...

Timely and accurate acquisition of spatial distribution changes in cropland is significant importance for food security ecological preservation. Most studies that monitor long-term tend to overlook the rationality process evolution, there are conflicts between interannual data, so they cannot be used analyze land use change. This study focuses on annual identification results cropland, considering evolution short-term variations influenced by natural environmental human activities. An...

Although building information modelling (BIM) applies widely in the architecture, engineering, and construction (AEC) industry, its systematic implementation AEC projects still experiences challenges. While most previous studies have investigated general BIM implementation, present study precisely focuses on barriers to at project level explores their sources Chinese context. Based a questionnaire survey with 166 valid responses from experienced practitioners as empirical evidence context,...

Purpose This study proposes an approach to solve the fundamental problem in using query-based methods (i.e. searching engines and patent retrieval tools) screen patents of information communication technology construction (ICTC). The is that ICTC incorporates various techniques thus cannot be simply represented by man-made queries. To investigate this concern, develops a binary classifier utilizing deep learning NLP automatically identify whether relevant ICTC, accurately screening corpus...

In healthcare, it is essential to explain the decision-making process of machine learning models establish trustworthiness clinicians. This paper introduces BI-RADS-Net, a novel explainable deep approach for cancer detection in breast ultrasound images. The proposed incorporates tasks explaining and classifying tumors, by feature representations relevant clinical diagnosis. Explanations predictions (benign or malignant) are provided terms morphological features that used clinicians diagnosis...

We prove an excision theorem for the singular instanton Floer homology that allows surfaces to intersect locus. This is extension of non-singular by Kronheimer and Mrowka genus-zero Street. use define theory sutured manifolds with tangles. As applications, we annular Khovanov (1) detects unlink, (2) closure trivial braid, (3) distinguishes braid closures from other links; also Thurston norm meridional surfaces.