Interaction effect analysis of distributed photovoltaic access to distributed network based on single-port reduced model by Xiankui WEN, Ke ZHOU, Junwei ZHANG, Mingjun HE, Yongxiang CAI

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Association between dietary selenium intake and depression in patients with or without stroke: a cross-sectional study by Shuang Wu, Zhimin Mei, Jin Gao, Songshan Chai

“…Logistic regression, interaction effect analysis, and restricted cubic spline analysis were used for statistical analyses.ResultsThe association between dietary selenium intake and prevalence depression differed between the non-stroke and stroke groups. …”
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Emoticon Effects in Facebook Brand Fan Pages: The Roles of Product Type, Brand Status, and the Perceived Value of Brand Fan Pages by Sun-Jae Doh, Eun-Ho Kim, Dongho Yoo

“…In Study 2A, which examined the influence of product type and brand status, we conducted a 2 (emoticons) × 2 (product type) × 2 (brand status) ANOVA on 233 subjects recruited through Amazon MTurk, and contrast analysis and PROCESS macro model 6 were used for the interaction effect analysis and mediation analysis. We found that the positive effect of emoticons only occurred in utilitarian products with high brand status and hedonic products with low brand status. …”
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The impact and role mechanism of digital finance on the economic development of resource-based cities--an empirical study from China by Peipei Qi, Qi Wang

“…Meanwhile, through the interaction effect analysis, this paper explores the synergistic effect between digital finance and regional entrepreneurship.ResultWe find that (1) Digital finance affects urban economic development through the positive mediating effect of regional innovation and the negative mediating effect of industrial structure, showing significant dual characteristics; (2) Further heterogeneity analysis shows that the impact of digital finance on cities at different stages of development is significantly different: it has the most significant promoting effect on mature and regenerating cities, followed by growing cities, while the effect on declining cities is relatively weak; (3) At the same time, the study identifies the “critical point effect” of digital financial development, which provides a theoretical basis for formulating differentiated urban development strategies.DiscussionThis study systematically reveals the transmission mechanism of digital finance on the economic development of resource-based cities, and provides theoretical basis and practical enlightenment for formulating differentiated digital inclusive financial policies and promoting the high-quality transformation of resource-based cities.…”
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Phytoremediation of Oil-Contaminated Soil by <i>Tagetes erecta</i> L. Combined with Biochar and Microbial Agent by Xin Fang, Pufan Zheng, Haomin Wang, Kefan Wang, Cong Shi, Fuchen Shi

“…Although the correlation between biochar and most plant growth and soil enzyme activity indicators was not significant in this study, the interaction effect analysis found a synergistic effect between microbial agents and biochar. …”
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Suicide risk prediction for Korean adolescents based on machine learning by Haitao Wang, Han Yuan, Yunong Zhang, Qixuan Wang, Zeng Gao, Mujuan Zhao

“…Multivariate interaction effect analysis further revealed that, at higher levels of depression, lower anxiety levels were significantly correlated with a reduced probability of suicide risk. …”
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Elevated mean arterial pressure and risk of impaired fasting glucose: a multicenter cohort study revealing age and sex interactions by Yuye Lin, Junzhong Zou, Miaoling Hong, Xudong Huang, Juan Wu

“…Additionally, interaction effect analysis was conducted to examine whether age and sex modified the association between MAP and IFG risk.ResultsThe overall incidence of IFG was 11.28%. …”
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Plasma proteomic biomarkers predict therapeutic responses in advanced biliary tract cancer patients receiving Camrelizumab plus the GEMOX treatment by Shiyun Cui, Hejian Zheng, Yiyang Xu, Qiuyu Wu, Weici Liu, Yucheng Cai, Lei Fan, Yitong Tian, Hao Qian, Yuting Ding, Xinyi Zhang, Jiaguang Zhang, Xiaofeng Wu, Rong Wang, Xiangcheng Li, Xiaofeng Chen

“…It was also revealed that a subset of proteins increased over time, including PDCD1, TNFRSF4, DCN, CRTAM, VEGFR-2 and ADA in PR group and PDCD1, IL10, ADA, CD28, and PTN in SD_PD group. In interaction-effect analysis, HO-1, ANGPT2, IL15 were three significant differentially expressed proteins (DEPs). …”
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Role of waist circumference, body mass index and high-sensitivity C-reactive protein in pediatric steatotic liver disease: A cross-sectional study by Qiaoling Wu, Yongmei Peng, Chundan Gong

“…Hs-CRP, ZWC and ZBMI were all found to significantly correlate with SLD and its related metabolic indexes. The interaction effect analysis showed that ZWC and male was independent risk factor of SLD with OR (95 %CI) of 23.431 (7.253, 75.697) and 7.927 (2.766,22.713), respectively, whereas the same effect wasn't found in ZBMI. …”
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Association between the dietary index for gut microbiota and atherosclerotic cardiovascular disease risk among US elderly adults: a cross‑sectional study by Meiqi Miao, Shigang Qiao, Wen Pan, Zhaochen Xia, Wei Li, Chanchan Lin

“…To achieve our research objectives, we employed logistic regression analysis, smooth curve fitting, interaction effects analysis, and mediation analysis. Results After adjusting for confounders, individuals with higher DI-GM had a significantly lower risk of ASCVD (highest quartile vs. lowest quartile OR = 0.73, 95% CI: 0.52–1.01, P < 0.001). …”
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Association of lactate-albumin ratio with native liver survival in paediatric acute liver failure: a 10-year retrospective study by Zhen Zhang, Yuna Li, Jingwen Li, Yumei Li

“…Logistic regression, smooth curve fitting, generalized additive models, and interaction effects analysis were used for statistical analysis.Results Among 77 patients, 46.8% (36 cases) had SNL, with 14.3% (11 cases) requiring transplantation. …”
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Impact of remnant cholesterol on acute ischemic stroke prognosis: a nationwide cohort analysis stratified by non-alcoholic fatty liver disease status by Sili Jiang, Aoming Jin, Aoming Jin, Wenli Xing, Jing Jing, Jing Jing

“…Multivariable logistic regression analyses were conducted to determine the association between RC and functional outcomes. Interaction effect analysis was performed to investigate how NAFLD modifies the relationship between RC and prognosis.ResultsAmong the 7, 234 participants, the mean age was 62.96 ± 11.44 years and 4,572 (63.2%) were male individuals. …”
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U-shaped association between social media usage frequency and suggestibility by internet health information in Chinese online population with pre-diabetes and diabetes: a cross-sec... by Mutong Chen, Xiaobing Lin, Rui Zhou, Guanhua Fan

“…Data analysis was conducted using R language and EmpowerStats software, encompassing Chi-square tests, U tests, multifactor linear regression analysis, smooth curve fitting, and subgroup and interaction effect analysis. Results After adjusting for other factors, there was a positive correlation between the frequency of social media and the suggestibility of internet health information cues (β = 0.27, 95% CI: 0.24 to 0.30, P < .001). …”
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Risk factors for the progression from pulmonary tuberculosis to spinal tuberculosis: a logistic regression analysis by Di Xue, Xiaolei Chen, Lufei Shao, Qinfu Liu, Jia Chen, Yajing Su, Chen Zhang, Zhirong Chen, Min Su, Zhiqiang Wu, Yiqiang Yang, Xue Lin

“…Univariate and multivariate logistic regression analyses were performed to identify significant risk factors for the progression to STB, and interaction effect analysis and risk stratification based on the NRS-2002 score were conducted to assess its predictive value. …”
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