To balance the diversity and stringency of Pareto solutions in multi-objective optimization, this paper introduces a White Shark Optimization algorithm (MONSWSO) tailored for optimization. MONSWSO integrates non-dominated sorting crowding distance into framework to select optimal solution within population. The uniformity initial population is enhanced through chaotic reverse initialization learning strategy. adaptive updating individual positions facilitated by an elite-guided forgetting...

The accurate detection of Mycobacterium tuberculosis (MTB) is a pressing challenge in the precise prevention and control tuberculosis. Currently, efficiency accuracy drug resistance for MTB are low, cross-contamination common, making it inadequate clinical needs. This study developed rapid nucleic acid method based on scattering loop-mediated isothermal amplification (LAMP). Specific primers MTB-specific gene (Ag85B) were designed, LAMP reaction system was optimized using self-developed...

Named Entity Recognition (NER) in low-resource settings aims to identify and categorize entities a sentence with limited labeled data. Although prompt-based methods have succeeded perspectives, challenges persist effectively harnessing information optimizing computational efficiency. In this work, we present novel method enhance NER without exhaustive template tuning. First, construct knowledge-enriched prompts by integrating representative background provide informative supervision tailored...

Abstract Over the last two decades, stochastic optimization algorithms have proved to be a very promising approach solving variety of complex problems. Bald eagle search (BES) as new algorithm with fast convergence speed has ability prominent and defect collapsing in local best. To avoid BES collapse at optima, inspired by fact that volume sphere is largest when surface area certain, an improved bald (INMBES) integrating random shrinkage mechanism proposed. Firstly, INMBES embeds spherical...

Emergency plans can be regarded as the effective guidance of hazard emergency responses, and they include textual descriptions response processes in terms natural language. In this paper, we propose an approach to automatically extract process models from Chinese plans. First, plan is represented a text tree according its layout markups sentence-sequential relations. Then, model elements, including four-level condition formulas, executive roles, tasks, flow relations, are identified by...

Emergency response plans are regarded as effective guidance for natural disasters and these describe emergency processes in language. More specifically, they textual process descriptions not only how all departments perform their own tasks, but also different interact with each other. Analyzing text quality of a typical evaluation approach is an important concern responses. Because the flexibility language, normally contain unwanted ambiguities, it difficult to check consistency...

Two novel methods for image feature extraction based on fractional differentiation are presented in this paper.The first method is the of fusing multi-direction CRONE operators.In method, differential mask generalized to eight directions at extracting features; then extracted features tested by statistic and fused gradient ratio, so that outlines objects obtained.In order extract detail information effectively, second 'S+Z' combined with space-filling curves, presented.By introducing 'S'...

<title>Abstract</title> Emergency response of natural disaster is a complex process involving multiple levels and cross-organization collaboration. Traditionally, collaborative models emergency are constructed based on the common experiences domain experts business modelers. Textual plans not conducive to performers quickly understanding tasks managers analyzing evaluating quality disaster. In this paper, novel approach proposed automatically extract from for supporting modeling automation...

Ligand-receptor interaction (LRI) prediction has great significance in biological and medical research facilitates to infer analyze cell-to-cell communication. However, wet experiments for new LRI discovery are costly time-consuming. Here, we propose a computational model called THGB uncover LRIs. first extracts feature information of Ligand-Receptor (LR) pairs using iFeature. Next, it adopts tree boosting obtain representative LR features. Finally, devises the histogram-based gradient...

This article is concerned with partially non linear models when the response variables are missing at random. We examine empirical likelihood (EL) ratio statistics for unknown parameter in function based on complete-case data, semiparametric regression imputation, and bias-corrected imputation. All proposed proven to be asymptotically chi-square distribution under some suitable conditions. Simulation experiments conducted compare finite sample behaviors of approaches terms confidence...

Abstract Superpixel segmentation is a kind of image preprocessing technology and popular research direction in processing. The purpose superpixel to reduce the complexity most widely applied Simple Linear Iterative Clustering (SLIC) algorithm has high operating efficiency. However, under‐segmentation prone occur when number given regions too small. In order improve accuracy, based on local network modularity increment (LocalNet) from perspective community detection proposed here. adjacency...

Most existing stream clustering algorithms adopt the online component and offline component. The disadvantage of two-phase is that they can not generate final clusters accurate results need to be got through analysis. Furthermore, for uncertain data streams are incompetent find arbitrary shapes according varieties streams. To address this issue, paper proposes a novel algorithm PDG-OCUStream, Probability Density Grid-based Online Clustering Uncertain Data Streams, in which summary...

Algorithms based on k-means are incompetent to find clusters of arbitrary shapes, and the number needs be pre-specified. Moreover, most grid-based clustering algorithms can not deal with boundary points accurately. To address these issues, a novel approach density gird-tree similarity, DGTSstream, is proposed. In each new data record will mapped into gird-tree, sporadic grids removed through setting update cycle noise threshold. The average exploited design This algorithm repeatedly seeks...

Emergency plans are used as effective instructions of hazard emergency response and they describe the overall process in natural language. In this paper, we propose an approach to extract a BPMN model cross-organization from plan text. It comprises three components: elements identification, text decomposition generation. First, CRF (Conditional random field) network is combined with Bi-LSTM (a bidirectional long short-term memory) (Bi-LSTMCRF) identify elements. Then, decomposed into...

Abstract An interactive artificial ecological optimization algorithm (SIAEO) based on environmental stimulus and competition mechanism was devised to find the solution of complex calculation be apt get bogged down in local optimum virtue sequential execution consumption decomposition stages algorithm. Firstly, defined by population diversity makes interactively execute operator abate inhomogeneity Secondly, three different types predation modes stage were regarded as tasks, task mode...