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[Purpose/Significance] Identifying potential technological opportunities will help countries and enterprises seize scientific and technological opportunities, which is particularly important for innovation entities to enhance their core competitiveness and gain competitive advantages in scientific and technological innovation and application. A systematic review of existing research is provided on technology opportunity identification, discriminating current limitations and research prospects to provide theoretical support for further research and practice on technology opportunity identification. [Method/Process] This paper first clarifies the connotation and types of technology opportunities, and the research holds that technology opportunities can be divided into three types: emerging technology, blank technology and fusion technology. It then sorts out the research status of three different types of technology opportunity identification at home and abroad through literature review, and focuses on the summary of the characteristics of different types of technology opportunity identification. It includes the core ideas, main methods, representative literature, and each type of data sources, and evaluates the existing research results. Finally, the limitations of the current research, and the development direction of future are discussed. [Results/Conclusions] Diversified types of technology opportunity identification are found and rich research methods are used in the literature, and a relatively standardized and systematic research paradigm has come into being. By analyzing each type of technology opportunity, some common elements can be found, including representative methods, method principles, data sources, knowledge representation units, technology opportunity definitions, technology opportunity evaluation, advantages and disadvantages, and other characteristics. The main limitations of the existing research are summarized as follows. First, the existing research is primarily carried out from a single perspective view, and a complete system of cross-domain technology identification and reference methods has not yet been formed. Second, in terms of data sources, most of the data sources of technology opportunity identification are papers or patent data, and there is a lack of research on the integration of multi-source data and study on multiple relationships. In terms of identification methods, the representative technology is primarily at a macro or micro level, and the semantic relationship between words is seldom considered. Finally, in terms of post-evaluation, there is a lack of a comprehensive and systematic evaluation system. The possible research work in the future may focus on the following aspects: cross-field and cross-topic technology opportunity identification to achieve cross convergence among more technology elements will become the development trend; more diversified and targeted data sources, research methods, and research content are expected; the analysis framework and process will be more standardized, and the post-evaluation system will be improved. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to review the relationship between dietary inflammatory index and mental disorders, so as to provide references for nutritional interventions for patients with mental disorders. The high disability rate and intractability of mental illness bring huge economic burden and medical pressure to patients' families and society. Dietary nutrition is crucial to the rehabilitation of mental illness. As a new type of index to measure food pro-inflammatory index, dietary inflammatory index is closely related to the occurrence and development of mental illness. Therefore, this paper reviews the development, calculation and correlation with mental illness of dietary inflammatory index. [ABSTRACT FROM AUTHOR]

Small vessel disease plays an important role in cerebrovascular diseases, which is the main cause of cognitive decline and functional loss in the elderly. Cerebral small vessel disease (CSVD) is a syndrome characterized by a series of clinical, pathological and imaging changes caused by small vascular structural or functional lesions. Some patients often come to hospital with dizziness as the main symptom and complaint. In recent years, more and more studies have shown that CSVD can lead to dizziness, but the mechanism has not been fully explained. This paper reviews the relationship between dizziness and CSVD and its possible related mechanisms, aiming to provide some reference for the identification, diagnosis and treatment of CSVD in patients with dizziness. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] Advances in single-cell sequencing and high-throughput technology have made it possible for plant genomics to accumulate large quantities of data describing multidimensional genomic-wide molecular phenotypes at low cost. As powerful data mining tools, deep learning techniques can be utilized to further predict and interpret the acquired molecular phenotypes. In recent studies, deep learning has been shown to yield significant results in plant genomics and crop breeding research. However, a complete review of deep learning applications in plant genomics is lacking. [Method/Process] The input to deep learning applied to genomics is usually biological sequences and molecular phenotypes as predictor and target variables, respectively. We introduced the workflow from four views: input data pre-processing includes retrieval, coding, and splitting; model construction and training includes the selection of model architecture and hyperparameters; model evaluation and interpretability. Specifically, this paper introduces the background of deep learning approaches, including the latest graph neural networks; then it discusses two prominent issues in the intersection of genomics and deep learning with respect to gene characterization and protein characterization: 1) how to model the flow of information from plant genomic DNA sequences to molecular phenotypes; and 2) how deep learning models can be utilized to identify functional variation in natural populations? Specifically, the paper summarizes the current status of deep learning applications in related fields, which include deep learning and DNA and gene characterization research, interpretability of deep learning in genomics applications, graph neural networks in genomics, deep learning and genomic variation research, deep learning in protein prediction, ALPHAFOLD in protein prediction, deep learning and crop breeding research, and unsupervised learning in genomics and protein characterization. [Results/Conclusions] This article summarizes how traditional deep-learning algorithms, graph deep-learning, generative adversarial networks and interpretable AI are applied in current research in order to address these two problems. Finally, the prospects for deep learning in future plant genomics research and crop improvement are discussed. Overall, deep learning has provided better results than conventional methods in many genomics research directions, and the application of deep learning in genomics has yielded early applications of scientific and economic significance. Deep learning offers two distinct advantages: 1) end-to-end learning, with the ability to integrate multiple pre-processing steps into a single model; and 2) multimodal data processing capabilities that can handle extremely heterogeneous data in genomics. The advancement of deep learning has the potential to expand new research perspectives in genomics and crop breeding, and to facilitate larger-scale association studies in both phenotypic and genotypic genomics as algorithms become more accurate. [ABSTRACT FROM AUTHOR]

With the widespread adoption of smartphones, mobile phone addiction among adolescents has emerged as a challenging public health concern. This paper aims to undertake a comprehensive literature review on mobile phone addiction among high school students, both domestically and internationally. It primarily focuses on exploring the conceptual framework, measurement tools, epidemic status, influencing factors and intervention strategies associated with mobile phone addiction in this specific population, so as to provide references for interventions targeting mobile phone addiction among high school students, with the ultimate goal of reducing the incidence rate within this population. ［Funded by Sichuan Provincial Primary Health Development Research Center in 2022, North Sichuan Medical College （number, SWFZ22-C-89）, Mianyang City Social Science Research Key Base-Sichuan Mianyang Minor Psychological Growth Guidance and Research Center 2022 Annual Funding Project （number, SCWCN 2022YB07). [ABSTRACT FROM AUTHOR]

Erythroderma is a rare and severe skin disease, characterized by erythema and scaly rashes all over the body, with the involvement of over 90% of the body surface area. Due to the complex etiologies, unclear pathogenesis, numerous complications and severe clinical symptoms, and no special and effective treatment, erythroderma is often missed diagnosis or misdiagnosed. In this paper, we systematically review the pathogenesis, progress, etiology, clinical features, diagnosis, treatments, and prognosis of erythroderma, providing ideas for rational diagnosis and effective therapies of erythroderma. [ABSTRACT FROM AUTHOR]

This article aims to provide a review of the domestic and foreign studies on the quality indicators for evaluating the psychiatric nursing care in recent years. According to Donabedian model， the research progress of quality indicators for evaluating the psychiatric nursing care were described from the three dimensions of structure quality， process quality and outcome quality. This paper summarizes the status of the research， points out the shortcomings of existing research， and provides references for the future research on the quality indicators for evaluating the psychiatric nursing care. [ABSTRACT FROM AUTHOR]

Bryophytes are important indicators of environmental pollution. At present, bryophytes are mainly used to monitor atmospheric pollution in China. In fact, bryophytes have been widely applied to monitor water quality abroad. In the present paper, we firstly analyzed the literature of applying bryophytes to monitor water environmental quality abroad, then summarized relevant contents of bryomonitoring, which included the types of water pollutants monitored by bryophytes, the species of bryophytes used for bryomonitoring, the influences of the survival status of bryophytes on monitoring effect, the environmental factors affecting the enrichment of heavy metal elements in water by bryophytes, the active and passive methods of applying bryophytes to monitor water pollutions, and the sample preparation, as well as some European cases of bryomonitoring for water environmental quality. Finally we also proposed some suggestions about bryomonitoring researches and application in the future. [ABSTRACT FROM AUTHOR]

[Purpose/Significance]With the development of the Internet, information and communication technology and digital media, people are facing unprecedented challenges in dealing with copyright issues, and copyright literacy is becoming more and more important.[Method/Process]Based on a large number of literature research, this article reviews the definitions and the main content of copyright literacy and two aspects of copyright literacy education for LIS students and library readers.[Results/Conclusions]Copyright literacy is the important part of traditional information literacy and the extension of information literacy. Some exceptions and limitations in copyright content have maintained the balance of interests between copyright owners and users. Therefore, the LIS curriculum should be revised and adjusted while continuing education and training should be strengthened to improve the copyright lit- eracy of librarians and future librarians. This paper summarizes the relevant international research and experience and provides reference for the research and development of copyright literacy in China. [ABSTRACT FROM AUTHOR]