Publications by authors named "Wen-Juan Hou"

(Linnaeus) C. Presl (1753) is a fern used both as food and medicine. It is found primarily in southern China and Southeast Asia, thriving in warm, humid shrublands or sparse forest.

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Article Synopsis
  • The study focused on Linnaeus 1753, an herb from northern China, Mongolia, and Russia, and sequenced its complete chloroplast genome for the first time.
  • The genome is 151,689 base pairs long, with a GC content of 38.4%, and includes a total of 133 annotated genes, such as 88 protein-coding genes and various RNA types.
  • Phylogenetic analysis shows that Linnaeus 1753 is closely related to Houttuyn, providing important genomic information for future studies on the Leonurus genus's phylogenetics and biodiversity.
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Bunge ex Bentham, Labiat. Gen is a perennial herb with much-branched stems native to Nei Mongol, Ningxia, Gansu, N Shaanxi. It can be used clinically as a hemostatic agent.

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Consolation is a complex empathic behavior that has recently been observed in some socially living rodents. Despite the growing body of literature suggesting that stress affects some simple form of empathy, the relationship between stress and consolation remains largely understudied. Using monogamous mandarin voles, we found that an acute restraint stress exposure significantly reduced consolation-like behaviors and induced anxiety-like behaviors.

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Consolation is a common response to the distress of others in humans and some social animals, but the neural mechanisms underlying this behavior are not well characterized. By using socially monogamous mandarin voles, we found that optogenetic or chemogenetic inhibition of 5-HTergic neurons in the dorsal raphe nucleus (DR) or optogenetic inhibition of serotonin (5-HT) terminals in the anterior cingulate cortex (ACC) significantly decreased allogrooming time in the consolation test and reduced sociability in the three-chamber test. The release of 5-HT within the ACC and the activity of DR neurons were significantly increased during allogrooming, sniffing, and social approaching.

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Physical inactivity, the fourth leading mortality risk factor worldwide, is associated with chronic mental illness. Identifying the mechanisms underlying different levels of baseline physical activity and the effects of these levels on the susceptibility to stress is very important. However, whether different levels of baseline physical activity influence the susceptibility and resilience to chronic social defeat stress (CSDS), and the underlying mechanisms in the brain remain unclear.

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The Guangdong-Hong Kong-Macau Greater Bay Area presents the highest number of electroplating corporations in China; some of them of very large scale. Electroplating emissions are the cause of widespread heavy metal contamination of both soil and groundwater in the Guangdong-Hong Kong-Macau Greater Bay Area. Hence, the reuse of electroplating sites in this area should be preceded by an analysis of heavy metal characteristics and migration in the soil and groundwater.

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Event extraction and annotation has become a significant focus of recent efforts in biological text mining and information extraction (IE). However, event extraction, event annotation methods, and resources have so far focused almost exclusively on a single domain. State-of-the-art studies on biological event extraction and annotation are typically domain-dependent and domain-restricted.

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Voluntary exercise has been reported to have a therapeutic effect on many psychiatric disorders and social stress is known to impair social interaction. However, whether voluntary exercise could reverse deficits in social behaviors induced by chronic social defeat stress (CSDS) and the underlying mechanism remain unclear. The present study shows CSDS impaired social preference and induced social interaction deficiency in susceptible mice.

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Consolation, which entails comforting contact directed toward a distressed party, is a common empathetic response in humans and other species with advanced cognition. Here, using the social defeat paradigm, we provide empirical evidence that highly social and monogamous mandarin voles (Microtus mandarinus) increased grooming toward a socially defeated partner but not toward a partner who underwent only separation. This selective behavioral response existed in both males and females.

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Article Synopsis
  • Drug-drug interactions (DDIs) can alter the effects of medications, influencing their absorption and potentially causing adverse effects, making this information crucial for the pharmaceutical industry.
  • We propose a method utilizing neural word embedding and machine learning to extract relevant DDI information from text, showing competitive results against existing systems.
  • The study highlights the effectiveness of deep learning techniques in enhancing information extraction related to DDIs, suggesting a promising direction for future research in this area.
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Background: Biomedical data available to researchers and clinicians have increased dramatically over the past years because of the exponential growth of knowledge in medical biology. It is difficult for curators to go through all of the unstructured documents so as to curate the information to the database. Associating genes with diseases is important because it is a fundamental challenge in human health with applications to understanding disease properties and developing new techniques for prevention, diagnosis and therapy.

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Article Synopsis
  • Gene Ontology (GO) provides standardized vocabularies for gene products across various databases, making annotation crucial for accurate data representation.
  • The annotation process is currently labor-intensive, requiring curators to sift through extensive articles, highlighting the need for more efficient methods.
  • The proposed approach utilizes full-text biomedical documents to improve the relevance of papers sent to curators by analyzing word density and gravitational relationships between genes and GO terms through various models and evaluation criteria.
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Named entity (NE) recognition is a fundamental task in biological relationship mining. This paper considers protein/gene collocates extracted from biological corpora as restrictions to enhance the precision rate of protein/gene name recognition. In addition, we integrate the results of multiple NE recognizers to improve the recall rates.

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