The Psychological Theory Behind the Epistemology of Disinformation

Distinguishing true from false information is both a psychological and epistemological process. Clare Wardle emphasizes the importance of identifying various types of what she refers to as information disorder referencing pollution occurring among online platforms principally news outlets. The categories of disinformation can include something as simple as clickbait or truly deceptive information that one might believe at first glance. The solutions to internet pollution are complex because it takes on many different forms. This causes fact-checking to be inefficient and time consuming, only flagging articles that are blatantly false excluding ones that are misleading. There is an intersection between psychological and epistemological theories because they involve evaluating the validity of information despite its justification of previously held beliefs. This is examined through the dual process theory separating cognition into automatic and deliberate processing. Automatic processing is when people rely on their personal knowledge to determine if information is true, failing to account for their biases. Deliberate processing requires more effort and I draw on information from several studies proving participants deliberating for longer allows them to more efficiently differentiate true from false information. I will analyze the well-documented case studies in Pomerantsev’s This is Not Propaganda: Adventures in the War Against Reality for examples of deliberation and the importance of understanding both psychological and epistemological processes because disinformation efforts are expanding and due to overstimulation people are failing to deliberate long enough to determine the reliability of information.https://orb.binghamton.edu/research_days_posters_2022/1129/thumbnail.jp

Implementation Challenges and Training Needs for Comprehensive School Counseling Programs in Wisconsin High Schools

The data from this study details the challenges to implementing comprehensive school counseling programs in Wisconsin high schools. Results suggest that current professional development training practices may be ineffective in assisting high school counselors to implement key components of the ASCA National Model in their schools. This article discusses obstacles to conducting more rigorous, statewide evaluations, and describes connections to markers of student success

Darwin at the Drugstore? Testing the Biological Fitness of Antibiotic Resistant Bacteria

The issue of antibiotic resistance in bacteria is growing. For example, methicillin-resistant Staphylococcus aureus (MRSA) is a leading human pathogen. New strains of MRSA are resistant to methicillin and numerous other antibiotics, placing the patient in significant danger. Indeed, the Centers for Disease Control revealed in 2007 that the number of deaths due to MRSA exceeded that of AIDS in the United States. It is no wonder that antibiotic resistance is one of the most significant and important health care issues. The ability of bacterial pathogens to evade traditional antibiotics is faster than the drug makers’ ability to make new types of clinical drugs (Gillen, 2007)

Advancing early gastric cancer detection

Important factors in combating cancer are early detection and accurate assessment of the best course of treatment. In a study published in this issue, Wang et al. identify possible miRNA biomarkers for improved determination of gastric cancer stage and prognosis. In particular they show increased miR-194 levels are a predictor of more favourable gastric cancer prognosis, at least in part due to miR-194 downregulating production of a key protein for cancer development: CCND1

Codon optimality in cancer.

A key characteristic of cancer cells is their increased proliferative capacity, which requires elevated levels of protein synthesis. The process of protein synthesis involves the translation of codons within the mRNA coding sequence into a string of amino acids to form a polypeptide chain. As most amino acids are encoded by multiple codons, the nucleotide sequence of a coding region can vary dramatically without altering the polypeptide sequence of the encoded protein. Although mutations that do not alter the final amino acid sequence are often thought of as silent/synonymous, these can still have dramatic effects on protein output. Because each codon has a distinct translation elongation rate and can differentially impact mRNA stability, each codon has a different degree of 'optimality' for protein synthesis. Recent data demonstrates that the codon preference of a transcriptome matches the abundance of tRNAs within the cell and that this supply and demand between tRNAs and mRNAs varies between different cell types. The largest observed distinction is between mRNAs encoding proteins associated with proliferation or differentiation. Nevertheless, precisely how codon optimality and tRNA expression levels regulate cell fate decisions and their role in malignancy is not fully understood. This review describes the current mechanistic understanding on codon optimality, its role in malignancy and discusses the potential to target codon optimality therapeutically in the context of cancer

Towards accurate partial volume correction in (99m}^Tc oncology SPECT: perturbation for case-specific resolution estimation

BACKGROUND: Currently, there is no consensus on the optimal partial volume correction (PVC) algorithm for oncology imaging. Several existing PVC methods require knowledge of the reconstructed resolution, usually as the point spread function (PSF)-often assumed to be spatially invariant. However, this is not the case for SPECT imaging. This work aimed to assess the accuracy of SPECT quantification when PVC is applied using a case-specific PSF. METHODS: Simulations of SPECT [Formula: see text]Tc imaging were performed for a range of activity distributions, including those replicating typical clinical oncology studies. Gaussian PSFs in reconstructed images were estimated using perturbation with a small point source. Estimates of the PSF were made in situations which could be encountered in a patient study, including; different positions in the field of view, different lesion shapes, sizes and contrasts, noise-free and noisy data. Ground truth images were convolved with the perturbation-estimated PSF, and with a PSF reflecting the resolution at the centre of the field of view. Both were compared with reconstructed images and the root-mean-square error calculated to assess the accuracy of the estimated PSF. PVC was applied using Single Target Correction, incorporating the perturbation-estimated PSF. Corrected regional mean values were assessed for quantitative accuracy. RESULTS: Perturbation-estimated PSF values demonstrated dependence on the position in the Field of View and the number of OSEM iterations. A lower root mean squared error was observed when convolution of the ground truth image was performed with the perturbation-estimated PSF, compared with convolution using a different PSF. Regional mean values following PVC using the perturbation-estimated PSF were more accurate than uncorrected data, or data corrected with PVC using an unsuitable PSF. This was the case for both simple and anthropomorphic phantoms. For the simple phantom, regional mean values were within 0.7% of the ground truth values. Accuracy improved after 5 or more OSEM iterations (10 subsets). For the anthropomorphic phantoms, post-correction regional mean values were within 1.6% of the ground truth values for noise-free uniform lesions. CONCLUSION: Perturbation using a simulated point source could potentially improve quantitative SPECT accuracy via the application of PVC, provided that sufficient reconstruction iterations are used

Optimisation of sample preparation from primary mouse tissue to maintain RNA integrity for methods examining translational control

The protein output of different mRNAs can vary by two orders of magnitude; therefore, it is critical to understand the processes that control gene expression operating at the level of translation. Translatome-wide techniques, such as polysome profiling and ribosome profiling, are key methods for determining the translation rates occurring on specific mRNAs. These techniques are now widely used in cell lines; however, they are underutilised in tissues and cancer models. Ribonuclease (RNase) expression is often found to be higher in complex primary tissues in comparison to cell lines. Methods used to preserve RNA during lysis often use denaturing conditions, which need to be avoided when maintaining the interaction and position of the ribosome with the mRNA is required. Here, we detail the cell lysis conditions that produce high-quality RNA from several different tissues covering a range of endogenous RNase expression levels. We highlight the importance of RNA integrity for accurate determination of the global translation status of the cell as determined by polysome gradients and discuss key aspects to optimise for accurate assessment of the translatome from primary mouse tissue

The mTOR regulated RNA-binding protein LARP1 requires PABPC1 for guided mRNA interaction.

The mammalian target of rapamycin (mTOR) is a critical regulator of cell growth, integrating multiple signalling cues and pathways. Key among the downstream activities of mTOR is the control of the protein synthesis machinery. This is achieved, in part, via the co-ordinated regulation of mRNAs that contain a terminal oligopyrimidine tract (TOP) at their 5'ends, although the mechanisms by which this occurs downstream of mTOR signalling are still unclear. We used RNA-binding protein (RBP) capture to identify changes in the protein-RNA interaction landscape following mTOR inhibition. Upon mTOR inhibition, the binding of LARP1 to a number of mRNAs, including TOP-containing mRNAs, increased. Importantly, non-TOP-containing mRNAs bound by LARP1 are in a translationally-repressed state, even under control conditions. The mRNA interactome of the LARP1-associated protein PABPC1 was found to have a high degree of overlap with that of LARP1 and our data show that PABPC1 is required for the association of LARP1 with its specific mRNA targets. Finally, we demonstrate that mRNAs, including those encoding proteins critical for cell growth and survival, are translationally repressed when bound by both LARP1 and PABPC1

Access, acceptance and adherence to cancer prehabilitation: a mixed-methods systematic review

Purpose The purpose of this systematic review is to better understand access to, acceptance of and adherence to cancer prehabilitation. Methods MEDLINE, CINAHL, PsychINFO, Embase, Physiotherapy Evidence Database, ProQuest Medical Library, Cochrane Library, Web of Science and grey literature were systematically searched for quantitative, qualitative and mixed-methods studies published in English between January 2017 and June 2023. Screening, data extraction and critical appraisal were conducted by two reviewers independently using Covidence™ systematic review software. Data were analysed and synthesised thematically to address the question ‘What do we know about access, acceptance and adherence to cancer prehabilitation, particularly among socially deprived and minority ethnic groups?’ The protocol is published on PROSPERO CRD42023403776 Results Searches identified 11,715 records, and 56 studies of variable methodological quality were included: 32 quantitative, 15 qualitative and nine mixed-methods. Analysis identified facilitators and barriers at individual and structural levels, and with interpersonal connections important for prehabilitation access, acceptance and adherence. No study reported analysis of facilitators and barriers to prehabilitation specific to people from ethnic minority communities. One study described health literacy as a barrier to access for people from socioeconomically deprived communities. Conclusions There is limited empirical research of barriers and facilitators to inform improvement in equity of access to cancer prehabilitation