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The Internet has been a popular source of data amongst academic researchers for many years, and for good reason. Online data collection is fast, provides access to hard-to-reach populations, and is often less expensive than in-lab recruitment. With these benefits also come risks, such as duplicate responses or participant inattention, which can significantly reduce data quality. Very recently, researchers have become aware of another concern associated with online data collection. Bots, also known as automatic survey-takers or fraudsters, have begun infiltrating scientific surveys, largely threatening the integrity of academic research conducted online. The aim of this paper is to warn researchers of the threat posed by bots and to highlight practical strategies that can be used to detect and prevent these bots. We first discuss strategies recommended in the literature that we implemented to identify bot responses from online survey data we collected in the past six months. We then share which strategies proved to be most and least effective in detecting bots. Finally, we discuss the implications of bot-generated data for the integrity of online research and the imminent future of bots in online data collection.

One of the most robust relations in cognition is that between spatial and mathematical reasoning. One important question is whether this relation is domain general or if specific relations exist between performance on different types of spatial tasks and performance on different types of mathematical tasks. In this study, we explore unique relations between performance on five spatial tasks and five mathematical tasks. An exploratory factor analysis conducted on Data Set 1 ( N = 391) yielded a two-factor model, one spatial factor and one mathematical factor with significant cross-domain factor loadings. The general two-factor model structure was replicated in a confirmatory factor analysis conducted in a separate data set ( N = 364) but the strength of the factor loadings differed by task. Multidimensional scaling and network-based analyses conducted on the combined data sets reveal one spatial cluster, with a central node and one more tightly interconnected mathematical cluster. Both clusters were interconnected via the math task assessing geometry and spatial sense . The unique links identified with the network-based analysis are representative of a "small-world network." These results have theoretical implications for our understanding of the spatial-mathematical relation and practical implications for our understanding of the limitations of transfer between spatial training paradigms and mathematical tasks. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The numerical distance effect (NDE) is an important tool for probing the nature of numerical representation. Across two studies, we assessed the degree to which the NDE relates to one's performance on spatial tasks to investigate the role of spatial processing in numerical comparison and, by extension, numerical cognition. We administered numerical comparison tasks and a variety of tasks thought to tap into different aspects of spatial processing. Importantly, we administered both the simultaneous comparison task and the comparison to a standard task, given claims that the NDEs that arise in these two tasks are different. In both studies, the NDEs elicited when comparing simultaneously presented numbers were more strongly negatively correlated with an individual's performance on the spatial tasks than the NDEs elicited when comparing numbers to a standard. The implications of these data for our understanding of numerical comparison tasks and numerical cognition more generally are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Anxiety within the domains of math and spatial reasoning have consistently been shown to predict performance within those domains. However, little work has focused on how specific these associations are. Across two studies, we systematically tested the degree of specificity in relations between anxiety and performance within math and spatial reasoning. Results consistently showed that anxiety within a cognitive domain predicted performance in that domain even when controlling for other forms of anxiety, providing evidence that cognition-specific anxieties are valuable for understanding cognition-specific performance. We also found that general trait anxiety did not explain a significant portion the anxiety-performance link in either math or spatial reasoning, suggesting that these anxiety-performance associations are not due to the propensity to feel anxious generally. Interestingly, while spatial anxiety did not explain any of the anxiety-performance association in math, math anxiety did explain a significant portion of the anxiety-performance link in spatial reasoning. These results suggest that, while links between anxiety and performance cannot be reduced to a single underlying general anxiety construct, there may nevertheless be overlap between domain anxieties. We end by calling for a more detailed examination of the unique and shared mechanisms linking anxiety and performance across disparate cognitive domains., (© 2022 New York Academy of Sciences.)

Females tend to be more anxious than males while engaging in mathematics, which has been linked to lower math performance and higher math avoidance. A possible repercussion of this gender difference is the underrepresentation of females in STEM fields (science, technology, engineering, and math), as math competencies are an essential part of succeeding in such fields. A related, but distinct, area of research suggests that males tend to outperform females in tasks that require spatial processing (i.e., the ability to mentally visualize, rotate, and transform spatial and visual information). Interestingly, factors from the spatial processing domain (spatial ability and spatial anxiety) are important in explaining gender differences in math anxiety. Here, we examined three types of spatial anxiety and ability (imagery, navigation, and manipulation), as well as math ability, as mediators of gender differences in math anxiety. Undergraduate students (125 male; 286 female) completed assessments of their general level of anxiety, their math anxiety, and their spatial anxiety. They also completed a series of tasks measuring their mathematical skill, their spatial skills, and basic demographics. Results suggest that manipulation anxiety and ability, navigation anxiety, and math ability explained the gender difference in math anxiety, but manipulation anxiety was the strongest mediator of this relation. Conversely, all other measures did not explain the gender difference in math anxiety. These findings help us better understand the gender difference in mathematics, and this is important in reducing the gender gap in STEM fields. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Purpose: Streptococcus gallolyticus subspecies gallolyticus ( SGG ) is an opportunistic pathogen causing invasive infections in the elderly often associated with colon neoplasia. The prevalence of SGG in the stools of patients with normal colonoscopy (control) was compared with patients with colorectal adenomas (CRA) or with carcinomas (CRC) from stages I to IV. The presence of the pk s island encoding colibactin as well as other CRC-associated bacteria such as toxicogenic Bacteroides fragilis , Fusobacterium nucleatum , and Parvimonas micra was also investigated., Patients and Methods: Fecal samples collected in France between 2011 and 2016 from patients with normal colonoscopy ( n = 25), adenoma ( n = 23), or colorectal cancer at different stages ( n = 81) were tested by PCR for the presence of SGG , B. fragilis , F. nucleatum , P. micra , and the pks island. Relative quantification of SGG , F. nucleatum , and P. micra in stools was performed by qPCR., Results: SGG prevalence was significantly increased in the CRC group. Our results also revealed i) a strong and significant increase of toxinogenic B. fragilis in patients with early-stage adenoma and of pks island at late-stage CRC and ii) increased levels of F. nucleatum and P. micra in the stools of CRC patients. Furthermore, the simultaneous detection of these five bacterial markers was only found in CRC patients., Conclusions: Our results indicate that the prevalence or relative levels of CRC-associated bacteria vary during CRC development. Among them, B. fragilis ( bft +) was singled out as the sole pathobiont detected at the early adenoma stage., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest, (Copyright © 2022 Périchon, Lichtl-Häfele, Bergsten, Delage, Trieu-Cuot, Sansonetti, Sobhani and Dramsi.)

Cardiac failure is a common feature in the evolution of cardiac disease. Among the determinants of cardiac failure, the renin-angiotensin-aldosterone system has a central role, and antagonism of the mineralocorticoid receptor (MR) has been proposed as a therapeutic strategy. In this study, we questioned the role of the MR, not of aldosterone, on heart function, using an inducible and cardiac-specific transgenic mouse model. We have generated a conditional knock-down model by expressing solely in the heart an antisense mRNA directed against the murine MR, a transcription factor with unknown targets in cardiomyocytes. Within 2-3 mo, mice developed severe heart failure and cardiac fibrosis in the absence of hypertension or chronic hyperaldosteronism. Moreover, cardiac failure and fibrosis were fully reversible when MR antisense mRNA expression was subsequently suppressed.