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Shenjiao Wang,1,2,* Xin Zou,3– 5,* Jianguang Fu,1 Fei Deng,1 Huiyan Yu,1 Huan Fan,1 Qigang Dai,1 Qingxiang Shang,5 Ke Xu,1 Changjun Bao1,5 1Acute Infectious Disease Control and Prevention Institute, Jiangsu Provincial Center for Disease Control and Prevention (Jiangsu Provincial Academy of Preventive Medicine), Nanjing, Jiangsu Province, People’s Republic of China; 2Ili Kazakh Autonomous Prefecture Center for Disease Control and Prevention, Ili, Xinjiang, People’s Republic of China; 3Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China; 4Chongqing Key Laboratory of Viral Infectious Diseases, Chongqing, People’s Republic of China; 5School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ke Xu; Changjun Bao, Acute Infectious Disease Control and Prevention Institute, Jiangsu Provincial Center for Disease Control and Prevention (Jiangsu Provincial Academy of Preventive Medicine), No. 172, Jiangsu Road, Gulou District, Nanjing, Jiangsu Province, 210009, People’s Republic of China, Tel +86-18915999237, +86-18118996911, Email xuke923@163.com; bao2000_cn@163.comBackground: Human adenovirus (HAdV) is common pathogens that cause various respiratory diseases. The genetic diversity of viruses caused by recombination is considered to be the main source of emerging outbreaks. The aim of this study is to explore the evolutionary relationship and recombination events of HAdV genome in respiratory tract infections in Jiangsu Province.Methods: Whole-genome sequencing (WGS) technology was used to sequence 66 patients with HAdV infection (37 patients with influenza-like illness (ILI) and 29 hospitalized patients with pneumonia) from Jiangsu Province. Epidemiological analysis was performed on hospitalized pneumonia and ILI patients infected with HAdV. Subsequently, phylogenetic, recombination, and nucleotide and amino acid identity analyses were performed.Results: Epidemiological analysis of patients undergoing WGS showed that 75.7% of ILI patients were infected with the HAdVB strain and 69.0% of hospitalized pneumonia patients were infected with the HAdVC strain. Moreover, the hospitalized pneumonia and ILI patients infected with HAdV were different in region and time. The strains of HAdVB3 and HAdVB7 genotypes were mainly infected in 2015 and 2017, and the strains of HAdVC1 and HAdVC2 genotypes were mainly infected in 2020. The results of histogram analysis showed that the HAdV strain mainly infected children under 5 years old. In addition, 36 novel recombinant strains were identified. The discovery of these recombinant strains may contribute to understanding the epidemiology of HAdV and research on related vaccines. Furthermore, the percentage of nucleotide and amino acid identities revealed a high level of genetic conservation within isolates from HAdVB3, HAdVB7, HAdVC1, HAdVC2 and HAdVC5 genotypes.Conclusion: The WGS analysis reveals the evolutionary relationships and recombination events of HAdV strains in Jiangsu Province, which is helpful to deepen the understanding of HAdV epidemiology and evolution. In addition, it provides a basis for the formulation of public health strategies in Jiangsu Province.Keywords: human adenovirus, whole genome sequencing, phylogenetic analysis, recombination

Junjie Yao,1 Qiangqiang Shang,2 Deyu Cong2 1College of Acupuncture and Tuina, Changchun University of Chinese Medicine, Changchun, Jilin, 130117, People’s Republic of China; 2Department of Tuina, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin, 130021, People’s Republic of ChinaCorrespondence: Deyu Cong, Email congdeyu666@sina.com

Qian Shang,1,2 Haoyu Ma,1 Cuicui Wang,2,3 Li Gao4 1School of Management, Hangzhou Dianzi University, Hangzhou, People’s Republic of China; 2Shanghai Key Laboratory of Brain-Machine Intelligence for Information Behavior, Shanghai International Studies University, Shanghai, People’s Republic of China; 3School of Management, Hefei University of Technology, Hefei, People’s Republic of China; 4SILC Business School, Shanghai University, Shanghai, People’s Republic of ChinaCorrespondence: Cuicui Wang, School of Management, Hefei University of Technology, 193# Tunxi Road, Hefei, 230009, People’s Republic of China, Email qad68@126.com Li Gao, SILC Business School, Shanghai University, 20# Chengzhong Road, Jiading District, Shanghai, 201800, People’s Republic of China, Email gaoli@shu.edu.cnPurpose: The purpose of this paper is to explore the effects of the background fitting of e-commerce live streaming on consumers’ purchase intentions and the relevant internal psychological mechanism from the cognitive-affective perspective.Methods: In this study, a theoretical framework model of SOR comprising six variables is established. SPSS and SmartPLS are used to test the model and analyze data collected from a comprehensive questionnaire survey of 424 Chinese online consumers.Results: Results demonstrate that the impact of background fitting in e-commerce live streaming on consumers’ purchase intentions can be divided into three stages. In the first stage, background fitting (comprised of both product-background fit and anchor-background fit) positively affect consumer cognitive process (perceived trust and perceived value). Perceived trust is mainly affected by anchor-background fit, while perceived value is mainly affected by product-background fit. In the second stage, consumers’ cognitive process subsequently affects their affective process (perceived pleasure). Perceived value also has a greater positive effect on consumers’ perceived pleasure than perceived trust, although perceived trust is a prerequisite for improving perceived value. In the third stage, the affective process further promotes consumers’ purchase intentions.Conclusion: Combining both SOR theory and cognitive-affective perspective, this study reveals that the internal influence mechanism of background fitting in e-commerce live streaming on consumers’ purchase intentions is divided into three stages. Theoretically, this study not only expands the application of SOR theory in the research field of e-commerce live streaming from the perspective of external background stimulation, but also importantly contributes to the application of cognitive-emotional perspective in e-commerce live streaming. Practically, the study suggests optimizing background fitting as an effective way to improve consumer purchase intention in e-commerce live streaming, and it is better to optimize background fitting from the perspective of improving perceived trust, perceived value, and perceived pleasure.Keywords: e-commerce live streaming, background fitting, cognitive-affective perspective, psychological mechanism, purchase intention

Qian Shang, 1 Jia Jin, 2 Guanxiong Pei, 3 Cuicui Wang, 4 Xiaoyi Wang, 5 Junping Qiu 6 1School of Management, Hangzhou Dianzi University, Hangzhou, People’s Republic of China; 2Business School, Ningbo University, Ningbo, People’s Republic of China; 3Zhejiang Lab, Hangzhou, People’s Republic of China; 4School of Management, Hefei University of Technology, Hefei, People’s Republic of China; 5School of Management, Zhejiang University, Hangzhou, People’s Republic of China; 6Chinese Academy of Science and Education Evaluation, Hangzhou Dianzi University, Hangzhou, People’s Republic of ChinaCorrespondence: Xiaoyi WangSchool of Management, Zhejiang University, 38# Zheda Road, Hangzhou 310027, People’s Republic of ChinaTel +86 138 5710 6999Email kevinwxy@zju.edu.cn Junping QiuChinese Academy of Science and Education Evaluation, Hangzhou Dianzi University, 1158# Road 2, Hangzhou 310018, People’s Republic of ChinaEmail jpqiu@hdu.edu.cnIntroduction: In online shopping, the webpage layout plays an important part in the consumer’s experience. The present study aims to investigate whether the webpage order and which order level (high order vs low order) facilitate consumers’ instant purchase decisions for products.Methods: Fourteen right-handed healthy undergraduates and graduate students participated in the experiment as paid participants. In the experiment, participants were presented with daily products in different online shopping webpages (high-order vs low-order) and reported their purchase intentions between purchase and not purchase. Meanwhile, Electroencephalogram (EEG) was recorded from the participants throughout the experiment. In the analysis process, two event-related potentials (ERP) components, P2 and late positive potential (LPP) were mainly focused to examine the cognitive mechanism underlying the purchase decisions.Results: The behavioral data found that the low-order shopping webpage facilitated participants’ purchase intentions compared with the high-order one. Neurophysiologically, increased P2 amplitudes and increased LPP amplitudes were revealed for the low-order webpage compared to the high-order webpage. The P2 indicates the early stage of attention engagement and discordant perception, while the LPP can be taken as a reflection of the late stage of the emotional self-control process.Conclusion: These results provided evidence that webpage order influenced people’s purchase decisions. Low-order webpage design invoked more attention engagement and discordant perception and consumed more self-control resources than the high-order webpage design, which contributed to the higher purchase intentions.Keywords: online shopping, webpage order, purchase decisions, event-related potentials, P2, LPP

Objective To analyze the epidemiological characteristics and spatial clustering of severe fever with thrombocytopenia syndrome (SFTS) in Dalian from 2011 to 2023, and provide evidence for the prevention and control of SFTS. Method The incidence data of SFTS wer obtained from the National Disease Reporting Information System of Chinese Center for Disease Control and Prevention and referral tracking of all SFTS confirmed cases by CDC in all districts, cities and counties under the jurisdiction of Dalian Municipality. The epidemiological charac-teristics and spatial aggregation of SFTS were analyzed by descriptive analysis, Joinpoint regression analysis, and spatial autocorrelation analysis. Result From 2011 to 2023, a total of 701 laboratory confirmed cases of SFTS, including 166 deaths. The annual average morbidity rate was 0.77/100 000 (0.15/100 000 – 1.93/100 000), and the CFR was 23.68%. The overall morbidity rate of SFTS in Dalian had an increasing trend from 2011 to 2023 was in increase with an average annual percentage change (AAPC) of 24.00% (P < 0.05). And the mortality rate had a increasing trend from 2011 to 2023 with an average annual percentage change (AAPC) of 20.95% (P < 0.05). The cases mainly occurred from Apirl to October and the incidence peak was in summer. The middle-aged and elderly farmers were the main SFTS population.The top three areas of incidence number were 228 cases of Zhuanghe city, 194 cases of Pulandian city, 156 cases of Wafangdian city. Global spatial autocorrelation analysis showed that the spatial aggeration occurred in the incidence of SFTS from 2017 to 2023 (P < 0.05). Local spatial autocorrelation analysis showed that "High-high clustering" areas were mainly concentrated in the mountainous areas of northern Dalian such as Zhuanghe, Pulandian and Wafangdian. Conclution From 2011 – 2023, the incidence of SFTS increased in Dalian, and the spread and obvious spatially cluesterd were observed. The morbidity and mortality risk were high in the elderly. The incidence of SFTS was seasonal.

Flexible pressure and strain sensors have attracted increasing attention with the rapid development of medical and electronic interconnection.Ionic conductive hydrogels demonstrate more potential for flexible electronics sensors because of their excellent physicochemical properties such as biomimetic structures， suitable mechanical properties， and excellent biocompatibility. The classification， preparation methods， characteristics of ionic conductive hydrogels，and their applications in flexible pressure and strain sensors were reviewed. First， the sensing modes of ionic conductive hydrogels in pressure and strain sensors were introduced. Then， according to the different conductive principles， they were divided into three categories：metal ion hydrogels， ionic liquid hydrogels， and polyelectrolyte hydrogels. Their applications and research progress in pressure and strain sensors were systematically introduced from synthesis methods， performance characteristics，and improvement methods.Their potential application prospects and development trends were analyzed. The current challenges were summarized and prospects were made. It was believed that ionic conductive hydrogels still have great exploration space and application potential in intelligent flexible sensing.

Xin-Yu Liu,1,&ast; Wei Zhang,2,&ast; Bao-Feng Ma,3 Mi-Mi Sun,4 Qing-Hua Shang2 1College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250000, People’s Republic of China; 2Department of Liver Disease, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, Shandong, 250000, People’s Republic of China; 3The third department of encephalopathy, Jinan Integrated Traditional Chinese and Western Medicine Hospital, Jinan, Shandong, 271100, People’s Republic of China; 4Diagnosis and Treatment Center for Liver Diseases, Tai’an 88 Hospital, Tai’an, Shandong, 271000, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Mi-Mi Sun; Qing-Hua Shang, Email mimysun@163.com; sq1713277397@163.comAbstract: Hepatic fibrosis (HF) is a pathological process of structural and functional impairment of the liver and is a key component in the progression of chronic liver disease. There are no specific anti-hepatic fibrosis (anti-HF) drugs, and HF can only be improved or prevented by alleviating the cause. Autophagy of hepatic stellate cells (HSCs) is closely related to the development of HF. In recent years, traditional Chinese medicine (TCM) has achieved good therapeutic effects in the prevention and treatment of HF. Several active ingredients from TCM (AITCM) can regulate autophagy in HSCs to exert anti-HF effects through different pathways, but relevant reviews are lacking. This paper reviewed the research progress of AITCM regulating HSCs autophagy against HF, and also discussed the relationship between HSCs autophagy and HF, pointing out the problems and limitations of the current study, in order to provide references for the development of anti-HF drugs targeting HSCs autophagy in TCM. By reviewing the literature in PubMed, Web of Science, Embase, CNKI and other databases, we found that the relationship between autophagy of HSCs and HF is currently controversial. HSCs autophagy may promote HF by consuming lipid droplets (LDs) to provide energy for their activation. However, in contrast, inducing autophagy in HSCs can exert the anti-HF effect by stimulating their apoptosis or senescence, reducing type I collagen accumulation, inhibiting the extracellular vesicles release, degrading pro-fibrotic factors and other mechanisms. Some AITCM inhibit HSCs autophagy to resist HF, with the most promising direction being to target LDs. While, others induce HSCs autophagy to resist HF, with the most promising direction being to target HSCs apoptosis. Future research needs to focus on cell targeting research, autophagy targeting research and in vivo verification research, and to explore the reasons for the contradictory effects of HSCs autophagy on HF.Keywords: hepatic fibrosis, HSCs autophagy, active ingredients of traditional Chinese medicine, HSCs activation

Abstract Rutaceae family comprises economically important plants due to their extensive applications in spices, food, oil, medicine, etc. The Rutaceae plants is able to better utilization through biotechnology. Modern biotechnological approaches primarily rely on the heterologous expression of functional proteins in different vectors. However, several proteins are difficult to express outside their native environment. The expression potential of functional genes in heterologous systems can be maximized by replacing the rare synonymous codons in the vector with preferred optimal codons of functional genes. Codon usage bias plays a critical role in biogenetic engineering-based research and development. In the current study, 727 coding sequences (CDSs) obtained from the chloroplast genomes of ten Rutaceae plant family members were analyzed for codon usage bias. The nucleotide composition analysis of codons showed that these codons were rich in A/T(U) bases and preferred A/T(U) endings. Analyses of neutrality plots, effective number of codons (ENC) plots, and correlations between ENC and codon adaptation index (CAI) were conducted, which revealed that natural selection is a major driving force for the Rutaceae plant family’s codon usage bias, followed by base mutation. In the ENC vs. CAI plot, codon usage bias in the Rutaceae family had a negligible relationship with gene expression level. For each sample, we screened 12 codons as preferred and high-frequency codons simultaneously, of which GCU encoding Ala, UUA encoding Leu, and AGA encoding Arg were the most preferred codons. Taken together, our study unraveled the synonymous codon usage pattern in the Rutaceae family, providing valuable information for the genetic engineering of Rutaceae plant species in the future.

Immune subtyping is an important way to reveal immune heterogeneity, which may contribute to the diversity of the progression and treatment in head and neck squamous cell carcinoma (HNSCC). However, reported immune subtypes mainly focus on levels of immune infiltration and are mostly based on a mono-omics profile. This study aimed to identify a comprehensive immune subtype for HNSCC via multi-omics clustering and build a novel subtype prediction system for clinical application. Data were obtained from The Cancer Genome Atlas database and our independent multicenter cohort. Multi-omics clustering was performed to identify 3 clusters of 499 patients in The Cancer Genome Atlas based on immune-related gene expression and somatic mutations. The immune characteristics and biological features of the obtained clusters were revealed by bioinformatics, and 3 immune subtypes were identified: 1) adaptive immune activation subtype predominantly enriched in T cells, 2) innate immune activation subtype predominantly enriched in macrophages, and 3) immune desert subtype. Subsequently, the clinical implications of each subtype were analyzed per clinical epidemiology. We found that adaptive immune activation showed better survival outcomes and had a similar response to chemotherapy with innate immune activation, whereas immune desert might be relatively resistant to chemotherapy. Moreover, a subtype prediction system was developed by deep learning with whole slide images and named HISMD: HNSCC Immune Subtypes via Multi-omics and Deep Learning. We endowed HISMD with interpretability through image-based key feature extraction. The clinical implications, biological significances, and predictive stability of HISMD were successfully verified by using our independent multicenter cohort data set. In summary, this study revealed the immune heterogeneity of HNSCC and obtained a novel, highly accurate, and interpretable immune subtyping prediction system. For clinical implementation in the future, additional validation and utility studies are warranted. [ABSTRACT FROM AUTHOR]

To standardize the market conduct of electricity sales companies and elevate the power market management level， it is essential to conduct a credit evaluation of these companies. Therefore， based on Box-plot and orthogonalization methods， a credit evaluation model based on an enhanced discrete Hopfield neural network （DHNN） is proposed. Firstly， factors influencing the credit levels of electricity sales companies are analyzed， and a credit evaluation index system， which includes 11 indicators such as basic information， foundational management， contract management， and transaction management， is established. The weights for these indicators are determined using the Delphi method. Secondly， outliers in the indicators of electricity sales companies are addressed to derive optimal credit scores， enabling an objective assessment of their credit levels. Finally， the feasibility of the proposed model is verified through case studies. The results indicate that the model can objectively and accurately evaluate the credit levels of electricity sales companies.