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Gadolinium based contrast agent induced electrical conductivity heterogeneity analysis in the brain of Alzheimer’s disease
A deep learning approach to remotely assessing essential tremor with handwritten images
Genetic diversity of Bartonella spp. in rodents and fleas from Poland
Multi-criteria evaluation for the sustainable use of loess gullies in rural–urban borderline
These US labs risk imminent closure after Trump cuts
An effectiveness of machine learning models for estimate the financial cost of assistive services to disability care in the Kingdom of Saudi Arabia
Daily briefing: Women’s work is missing from the scientific literature
Combining meta and ensemble learning to classify EEG for seizure detection
Deciphering the tumor-suppressive role of RBMS3 in lung adenocarcinoma through genomic insights into prognosis and mechanisms
Audio long read: How quickly are you ageing? What molecular ‘clocks’ can tell you about your health
Life cycle assessment based method for the environmental and mechanical evaluation of waste tire rubber concretes
Quantifying the dynamics of peak disruption in scientific careers
Abstract We examine the disruption of researchers with long-lived careers in Computer Science and Physics. Despite the epistemological differences between such disciplines, we consistently find that a researcher’s most disruptive publication does not occur at random during their career, as it cannot be explained by a null model. Such publication is accompanied by a peak year in which researchers publish other work that exhibits a higher level of disruption than average. Through a series of linear models, we show that the disruption achieved by a researcher during their peak year is higher when it is preceded by a long period of focus and low productivity. These findings are in stark contrast with the dynamics of academic impact. In these dynamics, researchers are incentivized by the prevalent paradigms of scientific evaluation to pursue high productivity and incremental—less disruptive—work, as evidenced by extensive literature.
Publishers trial paying peer reviewers — what did they find?
Proactive intervention depressurization control for pre-mining roof fall and mining impacts
Analysis of the molecular mechanisms of ulcerative colitis and atherosclerosis by microarray data
Micro-computed tomographic evaluation of root and canal anatomy of maxillary first premolars in Iraqi sub-population
Association between defecation status and the habit of eating vinegar-based dishes in community-dwelling Japanese individuals: a cross-sectional study
Abstract Vinegar intake reportedly has an antihypertensive effect and reduces visceral fat. Nonetheless, studies on the form of vinegar intake and its effect on defecation are scarce. This cross-sectional study aimed to investigate the association between the frequency of vinegar-based dish intake and defecation status using data from the Tarumizu cohort study. The participants (n = 1024, 634 women) responded to a health check survey in 2019 using a brief-type self-administered diet history questionnaire. The association between the frequency of vinegar-based dish intake and defecation status was examined using a multivariate logistic regression analysis. Considering confounding factors influencing the defecation status such as sex, age, dietary fiber intake, and medication history, individuals with a habit of eating vinegar-based dishes, such as “sour main dishes” (odds ratio [OR]: 1.38; p = 0.039), “sunomono” (OR: 1.49; p = 0.035), and “salad with sour dressing” (OR: 1.41; p = 0.049), had a significantly higher defecation frequency. No significant association was observed between the habit of eating vinegar-based dishes and the time required for defecation or straining during defecation. Our study showed that the habit of eating vinegar-based dishes was positively associated with defecation status. Our findings may suggest a novel approach for defecation improvement in people with defecation problems.