In the age of social media, faced with a huge amount knowledge and information, accurate effective keyphrase extraction methods are needed to be applied in information retrieval natural language processing. It is difficult for traditional models contain large external but rise pre-trained models, there new way solve this problem. Based on above background, we propose baseline unsupervised based model called SIFRank. SIFRank combines sentence embedding SIF autoregressive ELMo, it has best...

With the intensification of global resource competition, issue timber supply has escalated from an economic concern to a significant strategic challenge. This study focuses on evolution disruption resilience in trade network for wood forest products, aiming reveal patterns dynamics under risks by simulating underload cascading failure phenomena. The provides theoretical support enhancing security and stability product chain. Utilizing data UN Comtrade Database 2023, directed weighted complex...

In chronic low back pain (CLBP), the relationship between spinal pathologies and paraspinal muscles fat infiltration remains unclear. This study aims to evaluate MRI findings morphology in CLBP patients by quantitative MRI.

Abstract Real-time seismic intensity estimation aims to predict the maximum possible damage caused by an earthquake based on primary waves (P wave), so that early warning (EEW) targets can take measures reduce potential according predicted intensity. The peak P-wave displacement amplitude (Pd) is often used as effective characteristic parameter ground-motion peaks; however, it difficult accurately complex nonlinearity between P wave and ground motion using a single parameter. To address this...

The problem of timely detecting the engine faults that make operating parameters exceed their control limits has been well-solved. However, in practice, a fault diesel can be present with weak signatures, fluctuating within when occurs. signatures bring considerable difficulties to effective condition monitoring engines. In this paper, multivariate statistics-based detection approach is proposed monitor by taking correlation various into consideration. This firstly uses principal component...

Leaves play a key role in photosynthesis rice plants. The premature senescence of such plants directly reduces the accumulation photosynthetic products and also affects yield grain quality significantly negatively. A novel mutant, mps1 (mid-late stage 1), was identified from mutant library consisting ethyl methane sulfonate (EMS) induced descendants Jinhui 10, an elite indica restorer line rice. allele, mps1, caused no phenotypic differences wild type (WT), but drove leaves to turn yellow...

Approximately 40% of patients with acute low back pain (LBP) develop chronic pain, which significantly increases the risk poor prognosis. To reduce LBP becoming chronic, effective preventive strategies are needed. Early identification factors for development can help clinicians choose appropriate treatment options and improve patient outcomes. However, previous screening tools have not considered medical imaging findings. The aim this study is to identify that predict based on clinical...

Abstract Background The lumbar vertebra and paraspinal muscles play an important role in maintaining the stability of spine. Therefore, aim this study was to investigate relationship between fat infiltration vertebral body related changes [vertebral bone quality (VBQ) score Modic (MCs)] patients with chronic low back pain (CLBP). Methods Patients CLBP were prospectively collected four hospitals all underwent 3.0T magnetic resonance scanning. Basic clinical information collected, including...

From the analysis of product configuration values that are comprehensive consideration, customer demand and customize its relevance principles according to relevant factors establishment a module spare parts into matrix with FCM clustering divided on delimitation entropy, division schemes modules preferred.

A method to measure the emotion strength in speech was proposed paper. Firstly, it assumed that neutral doesn't contain any and then shifting assumption proposed. function determined by maximizing assumption, which quantification values of samples were calculated. database with different levels built order verifying analysis method. The experimental results showed is reasonable for measuring speech.

Forest fire is the most important risk to preservation of forest resources. In order put under control, it very forecast risk. This paper aims at measurement fire. Based on definition risk, common methods for measuring are reviewed and compared in paper. It pointed out that disadvantages used measure lie their monotous index ignorance decision-makers' attitudes. improve method VaR fully discussed. And utility-based suggested

This paper constructs a mathematical model from the biological logistic model, to describe and analyze relationship between forest fruits industry cold chain logistics. The result proves that cannot be developed without logistics, if logistics enterprises hope expand market share improve economic benefits, they also need develop fruit business. So there is symbiotic synergistic effect enterprises.

Aiming at the sparsity problem of data set in field information recommendation, a collaborative filtering recommendation algorithm based on random forest filling is proposed. First, ID3 adopted to construct decision trees and composed trees. Then, according steps proposed algorithm, missing values are predicted using then be filled. Besides, mean mode methods used for contrast. Finally, tested datasets processed by different methods. Experimental results show that compared with general...

This paper mainly explores the decision-making of enterprises on information sharing (IS) in forest product supply chain (FPSC).Firstly, several influencing factors IS between FPSC were identified according to relevant literature, namely, degree, absorption capacity, cost, incentive coefficient, penalty risk coefficient and synergy coefficient.Based these factors, author constructed an evolutionary game model for IS.Then, dynamic evolution was simulated Matlab, followed by discussion impact...

Fault diagnostics aims to locate the origin of an abnormity if it presents and therefore maximize system performance during its full life-cycle. Many studies have been devoted feature extraction isolation mechanisms various faults. However, limited efforts spent on optimization sensor location in a complex engineering system, which is expected be critical step for successful application fault diagnostics. In this paper, novel approach proposed purpose using population-based incremental...

Based on the concise analysis of influence support parameters to stability and deformation surrounding rock mass in soft tunnel, Bayesian network corresponding uncertainty reasoning principle has been introduced develop an expert system for selection tunnel with large span. By combining prior knowledge domain experts worksite data recorder, we get posterior probability density most nodes. The was applied compare several schemes about one tunnel. field practices proved that good...

This article has been retracted by the publisher.

This paper Integrated the advantages of modular product platform and parametric platform, putting adaptable into module. Proposed Adaptable Modular Product Platform concepts Analysis planning method platform. MAI(Module Variety Index) is adopted to analysis process quantitatively improve objectivity adaptability.