As one of the bibliometric analysis tools, CiteSpace software was applied to quantitatively and visually evaluate global scientific documents of research on haze from 2000 to 2016. Five thousand six ...hundred six documents from the Science Citation Index Expanded (SCI-Expanded) and Social Science Citation Index (SSCI) of the Web of Science database were statistically analyzed and examined. The distributions on authorship, countries/territories, institutes, and keywords were generated. The amount of publications has increased nearly for the past 17 years. The most productive author was Li J. with 46 articles. The publications on haze research were primarily originated from the USA, China, Germany, and France. By synthetically analyzing the keywords, the dominant hot spots of haze research could be concluded as “aerosol,” “atmosphere,” “particle,” “PM
2.5
,”and “air quality.”
Prognostics and Health Management (PHM), including monitoring, diagnosis, prognosis, and health management, occupies an increasingly important position in reducing costly breakdowns and avoiding ...catastrophic accidents in modern industry. With the development of artificial intelligence (AI), especially deep learning (DL) approaches, the application of AI-enabled methods to monitor, diagnose and predict potential equipment malfunctions has gone through tremendous progress with verified success in both academia and industry. However, there is still a gap to cover monitoring, diagnosis, and prognosis based on AI-enabled methods, simultaneously, and the importance of an open source community, including open source datasets and codes, has not been fully emphasized. To fill this gap, this paper provides a systematic overview of the current development, common technologies, open source datasets, codes, and challenges of AI-enabled PHM methods from three aspects of monitoring, diagnosis, and prognosis.
Industrial parks, which are characterized as a group of industrial businesses designed to meet the concomitant demands of different organizations within an area, have played an important role in the ...national development strategies of many countries. Industrial parks have received increasingly more attention over time. Nevertheless, few scholars have visually analyzed global scientific data. This paper quantitatively and visually examines global academic research papers on industrial parks from 1987 to 2016 by using a bibliometric analysis. A total of 1823 papers from Science Citation Index Expanded and Social Sciences Citation Index databases were analyzed. The distributions of authorship, keywords, countries/territories, and institutes were generated. According to data from Science Citation Index Expanded and Social Sciences Citation Index databases, the top five most productive authors (i.e., Geng Y. with 22 articles, Fujita T. with 17, El-Halwagi M.M. with 15, Zhang Y. with 14, and Tan R.R. with 12) have contributed significantly to industrial park research. Papers on industrial park research have mainly been from China, the USA, and Taiwan. The dominant keywords from industrial park research from 1987 to 2016 are “China”, “system”, “heavy metal”, and “eco-industrial park”. These keywords will be the hot topics in industrial park research in the future. The research findings can provide a reference for understanding the research development process and trends in analyses in the field of industrial parks.
The research on land use transformation has attracted more and more attention, and there are few research results on the eco-environmental effects of regional land use change from the perspective of ...land use function transformation. From the perspective of production-living-ecological land use function classification, this paper obtained land use change data of Shaanxi Province in 2000, 2010, and 2020, calculated the land use transfer matrix, ecological environment quality index, and ecological contribution rate of land use transformation, and quantitatively analyzed the temporal and spatial evolution of production-living-ecological spaces and the eco-environmental effects of land use structure transformation in Shaanxi Province. The results showed that the land use change in Shaanxi Province is mainly manifested in the continuous increase of ecological and living land area and the continuous decrease of production land area from 2000 to 2020. In the transformation of land use structure in Shaanxi Province, the biggest change in area is the mutual transformation between productive cultivated land and ecological grassland land. The occupation of ecological grassland land by other land types is an important factor leading to the decline of ecological environment quality. Overall, the ecological environment of Shaanxi Province has shown a trend of improvement in the past two decades. Quantitative research on the transformation characteristics of land use structure and its ecological environment effects in the past two decades is conducive to providing data support for the promotion of ecological civilization construction in Shaanxi Province.
Malaria is a worldwide infectious disease. For countries that have achieved malaria elimination, the prevention of re-establishment due to infections in returned travellers has become important. The ...accurate and timely diagnosis of malaria is the key in preventing re-establishment, and malaria rapid diagnostic tests (RDTs) are frequently used due to their convenience. However, the RDT performance in Plasmodium malariae (P. malariae) infection diagnosis remains unknown.
This study analysed epidemiological features and diagnosis patterns of imported P. malariae cases from 2013 to 2020 in Jiangsu Province and evaluated the sensitivity of four parasite enzyme lactate dehydrogenase (pLDH)-targeting RDTs (Wondfo, SD BIONLINE, CareStart and BioPerfectus) and one aldolase-targeting RDT(BinaxNOW) for P. malariae detection. Furthermore, influential factors were investigated, including parasitaemia load, pLDH concentration and target gene polymorphisms.
The median duration from symptom onset to diagnosis among patients with P. malariae infection was 3 days, which was longer than that with Plasmodium falciparum (P. falciparum) infection. The RDTs had a low detection rate (39/69, 56.5%) among P. malariae cases. All tested RDT brands had poor performance in P. malariae detection. All the brands except the worst-performing SD BIOLINE, achieved 75% sensitivity only when the parasite density was higher than 5000 parasites/μL. Both pLDH and aldolase showed relatively conserved and low gene polymorphism rates.
The diagnosis of imported P. malariae cases was delayed. The RDTs had poor performance in P. malariae diagnosis and may threaten the prevention of malaria re-establishment from returned travellers. The improved RDTs or nucleic acid tests for P. malariae cases are urgently needed for the detection of imported cases in the future.
Insecticide-based vector control measures play an important role in the prevention and control of insect-borne infectious diseases such as malaria; however, insecticide resistance has become a severe ...global problem for vector control. To date, the metabolic mechanism by which Anopheles sinensis, the most widely distributed malaria vector in China and Asia, detoxifies insecticides is not clear. In this study, the molecular metabolite changes in both the larval and adult stages of deltamethrin susceptible (DS) and deltamethrin-resistant (DR) An. sinensis mosquitoes were analysed by using liquid chromatography tandem mass spectrometry (LC-MS/MS) after exposure to deltamethrin. There were 127 differential metabolites in larval DR An. sinensis and 168 in adults. Five metabolites (glycerophosphocholine, deoxyguanosine, DL-methionine sulfoxide, D-myo-inositol-3-phosphate and N-acetyl-alpha-D-glucosamine1-phosphate) were downregulated in both DR larvae and adults, and one metabolite (aspartyl-glutamine) was upregulated, and the ratio of down- and up-regulation of these metabolites was 5:1. The differential metabolites between the DS and DR mosquitos were mainly classified into organic oxygen compounds, carboxylic acids and their derivatives, glycerophospholipids and purine nucleotides, and the common pathway enriched in both the larval and adult DR An. sinensis was glycerophospholipid metabolism. The findings of this study provide further mechanistic understanding of insecticide resistance in An. sinensis.
•High level of deltamethrin resistance showed in larvae and adults of Anopheles sinensis.•Organic oxygen compounds, carboxylic acids and their derivatives are the major metabolites classes involved.•Differential metabolites were closely related with glycerophospholipid metabolism pathway.
Farmers’ satisfaction with reform of the land expropriation system has not been fully examined, so it is difficult to comprehensively and successfully judge the effectiveness of the reforms. ...Traditional statistical methods cannot accurately explain the relationship between the variables. In order to fully understand the implementation, progress, and applicability of land expropriation system reform, this paper analyzes the factors influencing farmers’ satisfaction, presents the shortcomings of land expropriation system reform, and puts forward improvement suggestions. Taking the land expropriation system reform pilot in Dingzhou city as an example, this paper investigates the satisfaction of the farmers who have had their land expropriated by establishing a structural equation model (SEM) to obtain feedback on the implementation effect of the pilot work. The results show that the factors affecting farmers’ satisfaction with the reform of land expropriation systems can be summarized into four variables: land expropriation compensation standard, land income distribution, land expropriation security mode, and land expropriation procedure. The parameter estimation between these four potential variables and their corresponding observation variables shows that, in the process of land expropriation, the comparison of land expropriation compensation standards and observation variables with market entry projects is an important factor affecting the satisfaction of farmers with regard to land expropriation. The income of municipal and county governments and village collective incomes have a great impact on farmers, indicating that the satisfaction of farmers is not only related to the absolute level of compensation and income, but is also affected by the relative level. In addition, providing farmers with a variety of reasonable security methods is an important element to enable the smooth progress of land expropriation. Furthermore, attention should also be paid to the formulation of land expropriation schemes and emergency plans to solve land expropriation conflicts.
People perceive emotions via multiple cues, predominantly speech and visual cues, and a number of emotion recognition systems utilize both audio and visual cues. Moreover, the perception of static ...aspects of emotion (speaker's arousal level is high/low) and the dynamic aspects of emotion (speaker is becoming more aroused) might be perceived via different expressive cues and these two aspects are integrated to provide a unified sense of emotion state. However, existing multimodal systems only focus on single aspect of emotion perception and the contributions of different modalities toward modeling static and dynamic emotion aspects are not well explored. In this paper, we investigate the relative salience of audio and video modalities to emotion state prediction and emotion change prediction using a Multimodal Markovian affect model. Experiments conducted in the RECOLA database showed that audio modality is better at modeling the emotion state of arousal and video for emotion state of valence, whereas audio shows superior advantages over video in modeling emotion changes for both arousal and valence.
Cancer represents a significant global public health concern. In recent years, the incidence of cancer has been on the rise worldwide due to various factors, including diet, environment, and an aging ...population. Simultaneously, advancements in tumor molecular biology and genomics have led to a shift from systemic chemotherapy focused on disease sites and morphopathology towards precise targeted therapy for driver gene mutations. Therefore, we propose a comprehensive review aimed at exploring the research hotspots and directions in the field of
(
)-mutant cancers over the past decade, providing valuable insights for cancer treatment strategies. Specifically, we aim to present an intellectual landscape using data obtained from the Web of Science (WoS) regarding
mutation.
Bibliometrix, VOSviewer, CiteSpace, and HistCite were employed to conduct scientometric analyses on national publications, influential authors, highly cited articles, frequent keywords, etc.
A total of 16,609 publications met the screening criteria and exhibited a consistent annual growth trend overall. Among 102 countries/regions, the United States occupied the vast majority share of the published volume. The journal
had the highest circulation among all scientific publications. Moreover, the most seminal articles in this field primarily focus on biology and targeted therapies, with overcoming drug resistance being identified as a future research direction.
The findings of the thematic analysis indicate that
mutation in lung cancer, the prognosis following
(
) or
(
) mutations, and
(
)-related lung cancer are the significant hotspots in the given field. Considering the significant advancements made in direct targeting drugs like sotorasib, it is anticipated that interest in cancers associated with
mutations will remain steadfast.
As the core part of the Prognostic and Health Management (PHM) of major equipment such as high-speed trains and aero engines, bearing fault classification have been the research priorities in the ...field. Although convolutional neural network (CNN) has shown good results in this type of task, the real application with limited training data makes CNN have a big gap between the actual application and the expected effect. Therefore, bearing faults classification with class-imbalance is a very practical work. In this paper, semi-supervised information maximizing generative adversarial network (ss-InfoGAN), which uses adversarial structure to generate samples of the minority, is introduced to augment data to solve class imbalance problem. In addition, the latent codes, the inputs of generator, are decomposed into three parts with three additional networks, respectively, at the start of generator. Meanwhile, the 50% precision threshold is proposed during the training stage of discriminator to make a trade-off between computing resources and theoretical foundations and facilitate the network converge. Bearing fault experiments are conducted to investigate the effectiveness of the presented network. The result shows classification accuracy is improved by 40% by the ss-InfoGAN compared to the traditional CNN for the case of extremely class-imbalance condition.
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