2,099 research outputs found
Personalized Choice Prediction: personality questionnaires and demographics
No full textUser responses to three personality questionnaires and a set of demographic questions keyed by user id.
The questionnaires were used for personalization in the paper Personalized Choice Prediction with Less User Information by Francine Chen, Yanxia Zhang, Minh Nguyen, Matt Klenk and Charlottt Wu. The ids match those used in the gambling dataset at https://github.com/TRI-MAC/SEU/ and those used in the PHEV dataset used in the paper
Personalized Choice Prediction: personality questionnaires and demographics
No full textUser responses to three personality questionnaires and a set of demographic questions keyed by user id.
The questionnaires were used for personalization in the paper Personalized Choice Prediction with Less User Information by Francine Chen, Yanxia Zhang, Minh Nguyen, Matt Klenk and Charlottt Wu. The ids match those used in the gambling dataset at https://github.com/TRI-MAC/SEU/ and those used in the PHEV dataset used in the paper
sj-jpg-2-tct-10.1177_15330338211039110 - Supplemental material for Negative Correlation Between Circular RNA SMARC5 and MicroRNA 432, and Their Clinical Implications in Bladder Cancer Patients
No full textSupplemental material, sj-jpg-2-tct-10.1177_15330338211039110 for Negative Correlation Between Circular
RNA SMARC5 and MicroRNA 432, and
Their Clinical Implications in Bladder
Cancer Patients by Zhijia Zhang, Yanxia Sang, Zhengan Liu and Jinkai Shao in Technology in Cancer Research & Treatment</p
sj-docx-3-tct-10.1177_15330338211039110 - Supplemental material for Negative Correlation Between Circular RNA SMARC5 and MicroRNA 432, and Their Clinical Implications in Bladder Cancer Patients
No full textSupplemental material, sj-docx-3-tct-10.1177_15330338211039110 for Negative Correlation Between Circular
RNA SMARC5 and MicroRNA 432, and
Their Clinical Implications in Bladder
Cancer Patients by Zhijia Zhang, Yanxia Sang, Zhengan Liu and Jinkai Shao in Technology in Cancer Research & Treatment</p
sj-tif-1-tct-10.1177_15330338211039110 - Supplemental material for Negative Correlation Between Circular RNA SMARC5 and MicroRNA 432, and Their Clinical Implications in Bladder Cancer Patients
No full textSupplemental material, sj-tif-1-tct-10.1177_15330338211039110 for Negative Correlation Between Circular
RNA SMARC5 and MicroRNA 432, and
Their Clinical Implications in Bladder
Cancer Patients by Zhijia Zhang, Yanxia Sang, Zhengan Liu and Jinkai Shao in Technology in Cancer Research & Treatment</p
Biomass-dominant species shape the productivity-diversity relationship in two temperate forests
No full textInternational audienceAbstractKey messageA negative productivity-diversity relationship was determined for biomass-dominant species at the community level. This study thus supports the hypothesis in which the effects of individual species on the productivity-diversity relationships at the community level are related to their biomass density, an important functional trait.ContextThe productivity-diversity relationships have been extensively studied in various forest ecosystems, but key mechanisms underlying the productivity-diversity relationships still remain controversial.AimsThe objective of this study is to explore the productivity-diversity relationships at the community level, and to investigate the roles of individual species in shaping the community-level relationships between productivity and diversity under different forest types.MethodsThe study was conducted in two fully stem-mapped temperate mixed forest plots in Northeastern China: a natural secondary forest plot, and an old-growth forest plot. An individual-based study framework was used to estimate the productivity-diversity relationships at both species and community levels. A homogeneous Thomas point process was used to evaluate the significance of productivity-diversity relationship deviating from the neutral.ResultsAt the species level, most of the studied species exhibit neutral productivity-diversity relationship in both forest plots. The percentage of species showing negative productivity-diversity relationship approaches linearly a peak value for very close neighborhoods (the secondary forest plot: r = 3 m, 38%; the old-growth forest plot: r = 4 m, 42%), and then decreases gradually with increasing spatial scale. Interestingly, only a few species displayed positive productivity-diversity relationship within their neighborhoods. Dominant species mainly exhibit negative productivity-diversity relationship while tree species with lower importance values exhibit neutral productivity-diversity relationship in both forests. At the community level, a consistent pattern of productivity-diversity relationship was observed in both forests, where tree productivity is significantly negatively associated with local species richness. Four biomass-dominant species (Juglans mandshurica Maxim., Acer mono Maxim.,Ulmus macrocarpa Hance and Acer mandshuricum Maxim.) determined a negative productivity-diversity relationship at the community level in the secondary forest plot, but only one species (Juglans mandshurica) in the old-growth forest plot.ConclusionThe productivity-diversity relationship is closely related to the dominance of individual species at the species level. Moreover, this analysis is the first to report the roles of biomass-dominant species in shaping the productivity-diversity relationship at the community level
sj-pdf-1-imr-10.1177_03000605221089779 - Supplemental material for Development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis
No full textSupplemental material, sj-pdf-1-imr-10.1177_03000605221089779 for Development and validation of a prediction model of deep venous thrombosis for patients with acute poisoning following hemoperfusion: a retrospective analysis by Xiuqin Li, Jing Liu, Siqi Cui, Tianzi Jian, Shuang Ma, Longke Shi, Ying Lin, Juan Zhang, Yingying Zheng, Yanxia Zhang, Xiangdong Jian, Xiaorong Luan and Baotian Kan in Journal of International Medical Research</p
sj-tif-2-tag-10.1177_17562848231155023 – Supplemental material for An explainable artificial intelligence system for diagnosing Helicobacter Pylori infection under endoscopy: a case–control study
No full textSupplemental material, sj-tif-2-tag-10.1177_17562848231155023 for An explainable artificial intelligence system for diagnosing Helicobacter Pylori infection under endoscopy: a case–control study by Mengjiao Zhang, Jie Pan, Jiejun Lin, Ming Xu, Lihui Zhang, Renduo Shang, Liwen Yao, Yanxia Li, Wei Zhou, Yunchao Deng, Zehua Dong, Yijie Zhu, Xiao Tao, Lianlian Wu and Honggang Yu in Therapeutic Advances in Gastroenterology</p
sj-xlsx-2-jbm-10.1177_03936155231192672 - Supplemental material for A diagnostic biomarker of acid glycoprotein 1 for distinguishing malignant from benign pulmonary lesions
No full textSupplemental material, sj-xlsx-2-jbm-10.1177_03936155231192672 for A diagnostic biomarker of acid glycoprotein 1 for distinguishing malignant from benign pulmonary lesions by Ying Chen, Yueyang Zhang, Ankang Huang, Yongsheng Gong, Weidong Wang, Jicheng Pan and Yanxia Jin in The International Journal of Biological Markers</p
sj-docx-3-jbm-10.1177_03936155231192672 - Supplemental material for A diagnostic biomarker of acid glycoprotein 1 for distinguishing malignant from benign pulmonary lesions
No full textSupplemental material, sj-docx-3-jbm-10.1177_03936155231192672 for A diagnostic biomarker of acid glycoprotein 1 for distinguishing malignant from benign pulmonary lesions by Ying Chen, Yueyang Zhang, Ankang Huang, Yongsheng Gong, Weidong Wang, Jicheng Pan and Yanxia Jin in The International Journal of Biological Markers</p
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