In a study to investigate why indirect influence may be greater than direct influence, 93 introductory psychology students imposed sentences in two criminal cases. Experimental Ss gave their sentences in the first case before and after reading a judge's (harsh) sentence. The difference between the two sentences was the measure of direct influence. No significant direct influence effect was noted, in comparison to a control group. The difference between the first sentence imposed in each of the cases was the measure of indirect influence. In one condition Ss anticipated seeing the judge's sentence in the second case; in the other condition Ss did not anticipate seeing the judge's sentence in that case. In comparison to the control group, indirect influence was significant (p < .025) in the anticipation condition, but not in the no-anticipation condition. Indirect influence in the anticipation condition, without direct influence, was interpreted as reflecting a social strategy for avoiding the appearance of influencibility in the first case and avoiding discrepancy from the influence agent in the second case.
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http://dx.doi.org/10.1080/00223980.1975.9915795 | DOI Listing |
BMJ Open
January 2025
Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
Aims: To investigate the associations between influencing factors with length of stay (LOS) and hospitalisation expenses in oral cancer (OC) patients, and to explore the potential pathways through which these factors influence hospitalisation expenses using path analysis.
Design: Cross-sectional.
Setting: A comprehensive tertiary hospital in southeastern China.
J Biomed Inform
January 2025
Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, 02115, MA, USA; VA Boston Healthcare System, 150 S Huntington Ave, Boston, 02130, MA, USA. Electronic address:
Objective: Electronic health record (EHR) systems contain a wealth of clinical data stored as both codified data and free-text narrative notes (NLP). The complexity of EHR presents challenges in feature representation, information extraction, and uncertainty quantification. To address these challenges, we proposed an efficient Aggregated naRrative Codified Health (ARCH) records analysis to generate a large-scale knowledge graph (KG) for a comprehensive set of EHR codified and narrative features.
View Article and Find Full Text PDFMicrob Pathog
January 2025
Immunology lab, Biotechnology & Bioengineering, Indian Institute of Advanced Research, Gandhinagar, Gujarat, 382426, India. Electronic address:
Introduction: Leishmaniasis is a tropical parasitic disease caused by the protozoan Leishmania which remains a significant global health concern with diverse clinical manifestations. Transmitted through the bite of an infected sandfly, its progression depends on the interplay between the host immune response and the parasite. The disease outcome is linked to macrophage polarisation into M1 and M2 phenotypes.
View Article and Find Full Text PDFEnviron Pollut
January 2025
State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China. Electronic address:
Ammonia (NH) is crucial in fine particulate matter (PM) formation, but past estimations on industrial NH emissions remain highly uncertain. In this study, the flow of NH within air pollution control devices (APCDs) were investigated basing on material flow analysis with in-situ measurements of NH concentrations at the inlets and outlets of each APCD. Then, by combing emission factors updated with recent in-situ measurements and provincial-level activity data from statistical yearbooks and associated reports, NH emissions from various industrial sources, as well as their spatial distribution across China in 2020, were evaluated.
View Article and Find Full Text PDFMicrobiol Res
January 2025
Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, Northeast Normal University, Changchun, China; State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, School of Environment, Northeast Normal University, Changchun, China. Electronic address:
Extreme climatic events, such as drought, can significantly alter belowground microbial diversity and species interactions, leading to unknown consequences for ecosystem functioning. Here, we simulated a drought gradient by removing 30 %, 50 %, and 70 % of precipitation in a semi-arid grassland over five years. We assessed the effects of drought on bacterial and fungal diversity, as well as on their species interactions.
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