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opencc-by-4.0Sep 2022View details →

Accepted Artifact for Little Tricky Logic: Misconceptions in the Understanding of LTL

Datasets and source materials for our studies of Linear Temporal Logic (LTL). Includes: <ul> <li>  Labelled responses to our surveys </li> <li> The surveys themselves </li> <li> The coding rubric that guided our categorization </li> </ul>

opencc-by-4.0Mar 2024View details →

Data and code for: The centrality of the Huanan market among early COVID-19 cases is robust to fundamental misconceptions about epidemiology and misrepresentations of Worobey et al. (2022)

Data and R code for  The centrality of the Huanan market among early COVID-19 cases is robust to fundamental misconceptions about epidemiology and misrepresentations of Worobey et al. (2022)

FIGURE 5 in Cells and soft tissues in fossil bone: A review of preservation mechanisms, with corrections of misconceptions

FIGURE 5. Simplified overview of factors that influence the preservation and destruction of the cellular, soft tissue, and mineral content of bone. Diagenesis of these materials is more complex than is shown here. Additional factors also have influence, and multiple levels and modes of preservation and destruction may occur in different regions of a single bone (see text for details).

FIGURE 4 in Cells and soft tissues in fossil bone: A review of preservation mechanisms, with corrections of misconceptions

FIGURE 4. The geologic column according to science vs. YEC ideology. Time periods are not shown to scale. The dates according to science are from radiometric dating (Schmitz, 2020). The dates according to YEC ideology are based on biblical genealogies (Jones, 2016). YEC identifications of Paleozoic, Mesozoic, and pre-Quaternary Cenozoic strata as Flood deposits (e.g., Clarey, 2020; Oard and Carter, 2021) are based on misinterpretations of geologic data (Senter, 2011; Willoughby, 2016; Prothero, 2017; Senter, 2019).

FIGURE 2 in Cells and soft tissues in fossil bone: A review of preservation mechanisms, with corrections of misconceptions

FIGURE 2. Microstructure of bone matrix. A. Part of a collagen molecule, showing its triple helical structure (based on figure 2 of Bella (2016), with modifications), with each of the three helices shown in a different color: black, dark gray, and light gray. B. A collagen microfibril and associated bone mineral crystallites, showing that the microfibril consists of five staggered collagen molecules and that the crystallites form between the tips of the collagen molecules in the microfibrils (based on figure 1d of Alexander et al. (2012), with modifications). C. Part of a collagen fibril, showing that bone mineral crystallites form both within microfibrils (unshaded crystallites) and between microfibrils (shaded crystallites).

FIGURE 1 in Cells and soft tissues in fossil bone: A review of preservation mechanisms, with corrections of misconceptions

FIGURE 1. Cells and soft tissues from bones of the hadrosaurid dinosaur Edmontosaurus annectens, from the Standing Rock Hadrosaur Site (SHRS) in South Dakota (Upper Cretaceous: Maastrichtian). The images are reprinted from figure 2 of Cretaceous Research vol. 99, Ullmann et al., "Patterns of soft tissue and cellular preservation in relation to fossil bone tissue structure and overburden depth at the Standing Rock Hadrosaur Site, Maastrichtian Hell Creek Formation, South Dakota, USA" (2019), with permission from Elsevier. A. Osteocyte from fragment of ossified tendon. B. Osteocyte from caudal vertebra SRHS-DU-220. C. Blood vessels with spherical structures in the lumen, from metatarsal SHRS-DU-274. D. Blood vessel (right) and sheets of CBM (lower left) from fragment of ossified tendon. E. Sheet of CBM with embedded osteocytes, from metatarsal SHRS-DU-274.

FIGURE 3 in Cells and soft tissues in fossil bone: A review of preservation mechanisms, with corrections of misconceptions

FIGURE 3. Histology of bone. A. Macroscopic view of compact and spongy bone in a cross-section of the humerus of a domestic cow (Bos taurus). B. Arrangement of microstructures in compact and spongy bone. C. Human compact bone viewed through a compound microscope, with cells boiled away and voids filled with black ink, to make lacunae and canaliculi stand out.

FIGURE 6 in Cells and soft tissues in fossil bone: A review of preservation mechanisms, with corrections of misconceptions

FIGURE 6. Recrystallization of bone mineral. Note that through geologic time, the crystallite has become enlarged, and many of its original ions have been replaced by other ions from groundwater. Here, ions are not shown to scale with respect to each other or to the size of the crystallite. For details on relative abundances of the various ions in fossil bone, see Hubert et al. (1996); Kiseleva et al. (2019); Ullman et al. (2021); Schroeter et al. (2022); and Ullmann et al. (2022). REE = rare earth elements.

FIGURE 7 in Cells and soft tissues in fossil bone: A review of preservation mechanisms, with corrections of misconceptions

FIGURE 7. Spherical objects in a blood vessel from fossil bone, and items with which such structures have been hypothetically identified. The scale bar applies to A, C, and the smaller version of the image in B. The correct identity of the spherical objects in blood vessels of fossil bone remains unknown. A. Spherical objects in a blood vessel from fossil bone of the theropod dinosaur Beipiaosaurus inexpectus, from the Yixian Formation of Liaoning, China (Lower Cretaceous: Barremian–Aptian). This image is used with the permission of the journal PeerJ. It is from figure 2C of "Putative fossil blood cells reinterpreted as diagenetic structures," PeerJ, vol. 9: e12651, Korneisel et al. (2019). B. Pyrite framboids, shown to scale with A and C (left) and enlarged (right). This image is used with the permission of the journal PALAIOS. It is from figure 1 of "Rapid formation of framboidal sulfides on bone surfaces from a simulated marine carcass fall," PALAIOS, vol. 30: 327-334, Vietti et al. (2015). C. Red blood cells of the crocodilian species Caiman yacare (spectacled caiman). This image is reprinted by permission from Springer, from figure 1A of "Hepatozoon caimani Carini, 1909 (Adeleina: Hepatozoidae) in wild population of Caiman yacare Daudin, 1801 (Crocodylia: Alligatoridae), Pantanal, Brazil," Parasitology Research, vol. 116: 1907-1916 (2017).

opencc-by-sa-4.0Dec 2021View details →

zenodo36/100

A Misconception in "The Big Misconception About Electricity"

This video comments video "The Big Misconception About Electricity" published at Veritasium YouTube channel illustrating that the offered answer to the question proposed there is wrong. The experiment presented shows that the electromagnetic wave has to follow the transmission line and that the delay depends on the length of the wires. The video is a temporary version which is planned to be polished and augmented.

zenodo36/100

Dementia knowledge and misconceptions: a cross-sectional study in Swiss and Italian young adults, adults, and older adults

The dataset was generated during a cross sectional survey conducted in September-December 2019 aimed at quantifying dementia knowledge in the general population. Data come from a sample of 1500 young adults, adults, and older adults living in Northern Italy and Southern Switzerland. We registered socio-demographic characteristics including whether the participant had contact with a person living with dementia, and measured dementia knowledge with the Dementia Knowledge Assessment Survey (DKAS).

opencc-by-4.0Apr 2022View details →

opencc-zeroMay 2022View details →

Misconceptions about COVID-19 vaccine among adults in Saudi Arabia and their associated factor

It is of the utmost importance for the elements that influence public compliance to the COVID-19 vaccine to be assessed, including misconceptions, rumors, and conspiracy theories. Hence our study aimed to estimate the distribution of the most common misconceptions and their predictors in Saudi Arabia. We distributed an online questionnaire to participants who were 18 years or older at the time of the survey, which included four sections: demographic characteristics of participants, level of their education, their sources of information, and perception of participants regarding eleven of the most common misconceptions in the community. An evaluation of the relationships between different predictors and acceptance of these misconceptions was conducted using ordinal logistic regression; the most widely accepted misconception was that the vaccine has serious side effects, with 34.8% of participants reporting this. Accepting this misinformation Factors that were significantly associated with acceptance or refusal of misconceptions were: Gender, as females in this survey significantly accept rumors more than males (p<0.001); Educational level, especially secondary school, was associated with a significant decrease in acceptance of misconceptions (p=0.001); Information source. 60.5% of participants use social media as their primary source of information, and it was also a significant positive predictor of acceptance of misconceptions (p=0.034). It is of utmost importance to increase assurance in the safety of the vaccine, as it was the most accepted misconception, and to address the elements that affect believing rumors among the population.

zenodo36/100

Artifact for Misconceptions in Finite-Trace and Infinite-Trace Linear Temporal Logic

Welcome! This artifact contains the survey instruments, final catalog, and labeled responses from our FM 2024 paper: Misconceptions in Finite-Trace and Infinite-Trace Linear Temporal Logic <ul> <li>The artifact is primarily a dataset. There is no required software to run.</li> <li>The instruments and catalog are PDF files.</li> <li>The labeled responses are in spreadsheets, which we provide as open document files (`.ods`) with HTML as a backup.</li> </ul>

opencc-by-4.0Jun 2024View details →

opencc-zeroOct 2023View details →

Resource for teaching human genetics at the college level to combat harmful misconceptions

How we teach human genetics matters for social equity. The biology curriculum appears to be a crucial locus of intervention for either reinforcing or undermining students' racial essentialist views. The Mendelian genetic models dominating textbooks, particularly in combination with racially inflected language sometimes used when teaching about monogenic disorders, can increase middle and high school students' racial essentialism and opposition to policies to increase equity. These findings are of particular concern given the increasing spread of racist misinformation online and misappropriation of human genomics research by white supremacists, who take advantage of low levels of genetics literacy in the general public. Encouragingly, however, teaching updated information about the geographic distribution of human genetic variation and the complex, multifactorial basis of most human traits, reduces students' endorsement of racial essentialism. The genetics curriculum is therefore a key tool in combating misinformation and scientific racism. Here, we describe a framework and example teaching materials for teaching students key concepts in genetics, human evolutionary history, and human phenotypic variation at the undergraduate level. This framework can be flexibly applied in biology and anthropology classes and adjusted based on time availability. Our goal is to provide college instructors with varying levels of expertise with a set of evidence-informed tools for teaching human genetics to combat scientific racism, including an evolving set of instructional resources, as well as learning goals and pedagogical approaches instructors can apply when teaching genetics. Additionally, we hope to generate conversation about integrating modern genetics into the undergraduate curriculum, in light of recent findings about the risks and opportunities associated with teaching genetics.

publicMay 2022View details →

Misconceptions about COVID-19 vaccine among adults in Saudi Arabia and their associated factor

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