Emotional intelligence plays an important role in enhancing rural kindergarten teachers' work engagement and is closely related to their emotional labor strategies self-efficacy. The Intelligence Scale (WLEIS), the Labor Strategies (ELS), General Self-Efficacy (GSES), Work Engagement (UWES) were administered 314 teachers Henan Province, a region central China. results found that (1) intelligence, strategies, self-efficacy, showed significant positive correlation; (2) self-efficacy all...

Traffic Signal Control is an effective mean of solving urban traffic problems by providing appropriate signal timings for road intersections. In this paper, we propose a novel approach originated from methods and applications recommendation systems to select the most suitable various demands. Specifically, use idea computational experiments well-known technology called Collaborative Filtering find best database filled with large amounts data. When not enough some special situations,...

Online medical community question answering (cQA) systems are playing important roles as a supplement of the traditional service systems. The answer recommendation provides guidance to diagnose diseases and brings convenience valuable reference users. In this paper, we propose method recommend for particular questions on cQA system. There three steps system, including similar cases retrieval, answers quality estimation recommendation. proposed algorithm is tested dataset collected from...

Hyperspectral image (HSI) classification plays an important role in the automatic interpretation of remotely sensed data. However, it is a non-trivial task to classify HSI accurately and rapidly due its characteristics having large amount data massive noise points. To address this problem, work, novel, semi-supervised, superpixel-level method for was proposed based on graph discrete potential (SSC-GDP). The key idea scheme construction weighted connectivity division graph. Based superpixel...

To maximize cumulative user engagement (e.g. clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursuing higher immediate (e.g., click-through rate) and encouraging browsing (i.e., more items exposured). Existing works study these tasks separately, thus tend result sub-optimal results. In this paper, we problem from an online optimization perspective, propose a flexible practical framework explicitly longer length high...

Hyperspectral image (HSI) classification is one of the major problems in field remote sensing. Particularly, graph-based HSI a promising topic and has received increasing attention recent years. However, graphs with pixels as nodes generate large size graphs, thus computational burden. Moreover, satisfactory results are often not obtained without considering spatial information constructing graph. To address these issues, this study proposes an efficient effective semi-supervised...

With the development of social media, various rumors can be easily spread on Internet and such have serious negative effects society. Thus, it has become a critical task for media platforms to deal with suspected rumors. However, due lack effective tools, is often difficult platform administrators analyze validate from large volume information efficiently. We worked closely four months summarize their requirements identifying analyzing rumors, further proposed an interactive visual analytics...

Similar cases recommendation is more and popular in the internet inquiry. There have been lots of which solved perfectly, recommending them to similar inquiries can not only save patients' waiting time, but also giving good references. However, inquiry platform cannot understand diversity description, i.e. same meaning with different description. This may shield some very high quality answers. In this paper, based on deep learning, we proposed a retrieval model combining word embedding...

Internet inquiry is playing an increasingly important role as the complement of traditional medical service system, especially similar cases recommendation. It can not only save patients' waiting time, but also make use historical resources, for many with same purpose have been solved perfectly. However, because diversity and non-standard descriptions, platform cannot find semantic easily. Most retrieval methods require overlap two sentences, this suitable descriptions. In paper, we try to...

<title>Abstract</title> Strategic mineral resources are the indispensable material basis for national economy. However, with improvement of industrialization, demand strategic increases dramatically. The limited have caused countries to attach a new level importance recycling resources. Meanwhile, there has been an unprecedented increase in research on key recent years. In this study, bibliometric and visualization analyses publication data from 1995 2022 were conducted reveal development...

Intangible cultural heritage represents a vital aspect of global diversity, embodying historical wisdom and identity across various regions. Chinese tea culture exemplifies this with its unique traditions tea-making, teaware craftsmanship, philosophical underpinnings. However, globalization presents challenges such as language barriers, inefficiencies in traditional transmission methods, economic marginalization. Artificial Intelligence-Generated Content (AIGC) emerges transformative tool to...

Background and aims: Coronary obstruction following plaque rupture is a critical pathophysiological change in the progression of stable angina (SAP) to acute coronary syndrome (ACS). The accumulation platelets various inflammatory cells on apoptotic endothelial key factor arterial after rupture. Through single-cell sequencing analysis (scRNA-seq) plaques from SAP ACS patients, we identified significant changes annexin V P-selectin glycoprotein ligand 1 pathways. Staphylococcal...

This paper proposes an immersive training system for patients with hand dysfunction who can perform rehabilitation independently. The uses Leap Motion binocular vision sensors to collect human information, and the improved PCA (Principal Component Analysis) data fusion on real-time collected by sensor obtain more hands fewer principal components, improve stability accuracy of data. Immediately, use SVM (Support Vector Machine) KNN (K-Nearest Neighbor Algorithm) gesture recognition...

Abstract Based on the water resource data and economic from 2006 to 2017, this paper analyzes temporal spatial variation characteristics of sustainable resources utilization in Yan’an, using a ecological footprint model ten-thousand-yuan GDP footprint, combined with carrying capacity deficit principle. The result shows that overall wave Yan’an rises but not an obvious way, are fluctuating. Production accounts for largest proportion footprint. Affected by industrial transformation,...

To maximize cumulative user engagement (e.g. clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursuing higher immediate (e.g., click-through rate) and encouraging browsing (i.e., more items exposured). Existing works study these tasks separately, thus tend result sub-optimal results. In this paper, we problem from an online optimization perspective, propose a flexible practical framework explicitly longer length high...

Rehabilitation training for patients with upper limb functional impairment is generally based on rehabilitation machinery equipment and the experience does not meet needs of users. This paper proposes designs a system that can carry out independent intelligentassessment. Collected by sensor Kinect human motion information, key points skeleton data processing time series smoothing algorithm, recognition method classification experiments show algorithm optimized bone data, effectively help to...