The current crisis in psychological research involves issues of fraud, replication, publication bias, and false positive results. I argue that this crisis follows the failure of widely adopted solutions to psychology's similar crisis of the 1970s. The untouched root cause is an information-economic one: Too many studies divided by too few publication outlets equals a bottleneck. Articles cannot pass through just by showing theoretical meaning and methodological rigor; their results must appear to support the hypothesis perfectly. Consequently, psychologists must master the art of presenting perfect-looking results just to survive in the profession. This favors aesthetic criteria of presentation in a way that harms science's search for truth. Shallow standards of statistical perfection distort analyses and undermine the accuracy of cumulative data; narrative expectations encourage dishonesty about the relationship between results and hypotheses; criteria of novelty suppress replication attempts. Concerns about truth in research are emerging in other sciences and may eventually descend on our heads in the form of difficult and insensitive regulations. I suggest a more palatable solution: to open the bottleneck, putting structures in place to reward broader forms of information sharing beyond the exquisite art of present-day journal publication.
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http://dx.doi.org/10.1177/1745691612457576 | DOI Listing |
Acta Pharm Sin B
December 2024
Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang 110016, China.
The respiratory tract is susceptible to various infections and can be affected by many serious diseases. Vaccination is one of the most promising ways that prevent infectious diseases and treatment of some diseases such as malignancy. Direct delivery of vaccines to the respiratory tract could mimic the natural process of infection and shorten the delivery path, therefore unique mucosal immunity at the first line might be induced and the efficiency of delivery can be high.
View Article and Find Full Text PDFJ Hum Nutr Diet
February 2025
Department of Nutrition, Dietetics and Food, School of Clinical Sciences, Monash University, Notting Hill, Victoria, Australia.
Background: Recent studies show a high prevalence in hospital populations and best practice evidence indicates that people living with obesity should receive dietetic advice. However, patients often do not receive this care in acute settings. Understanding the experiences of people living with obesity is crucial to designing successful strategies for management.
View Article and Find Full Text PDFBMJ Open
December 2024
Perinatal HIV Research Unit (PHRU), University of the Witwatersrand Johannesburg, Johannesburg, Gauteng, South Africa.
Purpose: In the setting of an established childhood pneumococcal vaccination programme with immediate initiation and treatment of antiretroviral therapy (ART) for people living with HIV (PLWH), the risk of adult pneumococcal community-acquired pneumonia (CAP) is not recently described. We aimed to investigate CAP incidence, recurrence, mortality, risk factors and microbiology before and during the COVID-19 pandemic.
Participants: Adults aged ≥18 years were enrolled in three South African provinces from March 2019 to October 2021, with a brief halt during the initial COVID-19 lockdown.
Environ Microbiome
January 2025
Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
Background: Viruses that infect prokaryotes (phages) constitute the most abundant group of biological agents, playing pivotal roles in microbial systems. They are known to impact microbial community dynamics, microbial ecology, and evolution. Efforts to document the diversity, host range, infection dynamics, and effects of bacteriophage infection on host cell metabolism are extremely underexplored.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Anzhen Hospital of Capital Medical University, Beijing, 101100, China.
Background: MicroRNAs (miRNAs) are pivotal in the initiation and progression of complex human diseases and have been identified as targets for small molecule (SM) drugs. However, the expensive and time-intensive characteristics of conventional experimental techniques for identifying SM-miRNA associations highlight the necessity for efficient computational methodologies in this field.
Results: In this study, we proposed a deep learning method called Multi-source Data Fusion and Graph Neural Networks for Small Molecule-MiRNA Association (MDFGNN-SMMA) to predict potential SM-miRNA associations.
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