Miracle-dz/UniFAR-FTUs huggingface dataset:
Curiosity, Surprise, and the Recall of Tobacco-Related Health Information in Adolescents

A key goal of health communications designed to prevent smoking initiation during adolescence is for the tobacco-related information to be retained in memory beyond immediate message exposure. Here, we test the role for epistemic emotions, specifically curiosity and surprise, in facilitating memory for tobacco-related health information. Participants (n = 294 never-smoking adolescents, ages 14–16 years) performed a trivia guessing task wherein they guessed the answers to general trivia and smoking-related trivia questions. A subset of participants (n = 154) completed a surprise trivia memory task one week later and answered the previously viewed questions. Results indicate that curiosity about the answers to smoking-related trivia is associated with more accurate recall of smoking-related trivia answers one week later. Surprise also facilitated memory for smoking-related trivia, but the association was limited to cases where confidence in prior knowledge was low. Indeed, when participants had high confidence in their prior knowledge, surprise about the answer to trivia questions was associated with worse recall. Findings suggest that engendering states of curiosity for smoking-related information may facilitate retention of that information in never-smoking adolescents and highlight the need to examine both surprise and confidence in health communications to avoid low message recall.
ICD-11 complex post-traumatic stress disorder and psychiatric comorbidity among UK Armed Forces veterans in Northern Ireland: a latent class analysis

ABSTRACT Background: There is evidence to suggest that the experience of complex post-traumatic stress disorder (C-PTSD) may be commonly associated with elevated risk for several mental ill-health comorbidities. Objective: The current study seeks to contribute to the growing literature on C-PTSD comorbidity by examining the relationship between C-PTSD and other mental health disorders in a UK Armed Forces veteran sample. Method: This study used data from the Northern Ireland Veterans’ Health and Wellbeing Study (NIVHWS). The effective sample consisted of 638 veterans (90.0% male). Tetrachoric correlations examined the relationship between C-PTSD caseness and other mental health outcomes. Latent class analysis was then conducted, determining the optimal number and nature of classes in the sample in relation to C-PTSD, depression, anxiety, and suicidality. Results: C-PTSD caseness (i.e. probable diagnosis) was found to be significantly associated with positive caseness of depression, anxiety, and suicidality. Overall, four latent classes emerged, with each of these classes characterized by varying degrees of comorbidity: a ‘Resilient/Low Comorbidity’ class, a ‘Lifetime Suicidal’ class, a ‘PTSD Polymorbid’ class, and a ‘C-PTSD Polymorbid’ class. Conclusions These findings support and extend previous results indicating the highly comorbid nature of C-PTSD. C-PTSD may be considered a highly polymorbid condition, increasing the risk for multiple mental health pathologies concurrently. HIGHLIGHTS The results showed that probable complex PTSD was associated with depression, anxiety, and suicidality in this military veteran sample. Latent class analysis revealed that probable complex PTSD was associated with multiple conditions concurrently, suggesting that complex PTSD is not only highly comorbid but polymorbid. The findings highlight the importance of screening for multiple pathologies, particularly in cases of probable complex PTSD.
The acceptability of a guided internet-based trauma-focused self-help programme (Spring) for post-traumatic stress disorder (PTSD)

ABSTRACT Background: Guided internet-based, cognitive behavioural therapy with a trauma-focus (i-CBT-TF) is recommended in guidelines for post-traumatic stress disorder (PTSD). There is limited evidence regarding its acceptability, with significant dropout from individual face-to-face CBT-TF, suggesting non-acceptability at least in some cases. Objective: To determine the acceptability of a guided internet-based CBT-TF intervention, ‘Spring’, in comparison with face-to-face CBT-TF for mild to moderate PTSD. Method: Treatment adherence, satisfaction, and therapeutic alliance were measured quantitatively for participants receiving ‘Spring’ or face-to-face CBT-TF as part of a Randomised Controlled Trial. Qualitative interviews were conducted with a purposive sample of therapists and participants. Results: ‘Spring’ guided internet-based CBT-TF was found to be acceptable, with over 89% participants fully or partially completing the programme. Therapy adherence and alliance for ‘Spring’ and face-to-face CBT-TF did not differ significantly, apart from post-treatment participant-reported alliance, which was in favour of face-to-face CBT-TF. Treatment satisfaction was high for both treatments, in favour of face-to-face CBT-TF. Interviews with participants receiving, and therapists delivering ‘Spring’ corroborated its acceptability. Conclusions: Guided internet-based CBT-TF is acceptable for many people with mild to moderate PTSD. Findings provide insights into future implementation, highlighting the importance of personalising guided self-help, depending on an individual’s presentation, and preferences. HIGHLIGHTS Guided internet-based trauma-focused CBT is an acceptable treatment for PTSD. A model of acceptability explained 45% of variance in treatment outcome. Importance of adapting guided self-help to suit presentation and preferences.
Predissociation of Nitric Oxide in the Mesosphere and Stratosphere

Abstract Absorption of solar photons by nitric oxide in the wavelength ranges 181.3–183.5 and 189.4–191.6 nm leads to predissociation of the molecule in the mesosphere and upper stratosphere. Molecular oxygen controls the penetration of the required solar irradiance via absorption in the Schumann-Runge bands, while attenuation due to ozone becomes significant in the upper stratosphere. The calculation of the nitric oxide dissociation rate is complicated by the need to include all rotational fine structure in both the NO and O2 cross sections. The dissociation rate computed here for the upper mesosphere is a factor of 3.6 less than that reported in past work when currently accepted values of the oscillator strengths and solar irradiance are used. In addition, improved molecular parameters describing the O2 cross section predict less attenuation of the dissociation rate with decreasing altitude than results previously available.
Chemical, Pharmacological, and Structural Characterization of Novel Acrylamide-Derived Modulators of the GABAA Receptor

Acrylamide-derived compounds have been previously shown to act as modulators of members of the Cys-loop transmitter-gated ion channel family, including the mammalian GABAA receptor. Here we have synthesized and functionally characterized the GABAergic effects of a series of novel compounds (termed “DM compounds”) derived from the previously characterized GABAA and the nicotinic α7 receptor modulator (E)-3-furan-2-yl-N-p-tolyl-acrylamide (PAM-2). Fluorescence imaging studies indicated that the DM compounds increase apparent affinity to the transmitter by up to 80-fold in the ternary αβγ GABAA receptor. Using electrophysiology, we show that the DM compounds, and the structurally related (E)-3-furan-2-yl-N-phenylacrylamide (PAM-4), have concurrent potentiating and inhibitory effects that can be isolated and observed under appropriate recording conditions. The potentiating efficacies of the DM compounds are similar to those of neurosteroids and benzodiazepines (ΔG ∼ –1.5 kcal/mol). Molecular docking, functionally confirmed by site-directed mutagenesis experiments, indicate that receptor potentiation is mediated by interactions with the classic anesthetic binding sites located in the transmembrane domain of the intersubunit interfaces. Inhibition by the DM compounds and PAM-4 was abolished in the receptor containing the α1(V256S) mutation, suggestive of similarities in the mechanism of action with that of inhibitory neurosteroids. Functional competition and mutagenesis experiments, however, indicate that the sites mediating inhibition by the DM compounds and PAM-4 differ from those mediating the action of the inhibitory steroid pregnenolone sulfate. SIGNIFICANCE STATEMENT We have synthesized and characterized the actions of novel acrylamide-derived compounds on the mammalian GABAA receptor. We show that the compounds have concurrent potentiating effects mediated by the classic anesthetic binding sites, and inhibitory actions that bear mechanistic resemblance to but do not share binding sites with, the inhibitory steroid pregnenolone sulfate.
Early career outcomes of a large four-year MD/ MPH program: Results of a cross sectional survey of three cohorts of graduates

The University of Miami Miller School of Medicine started a four-year MD/ MPH program in 2011 with a mission to graduate public health physician leaders to address the public health needs of the 21st century, with emphasis on three areas: leadership, research, and public health. A prospective cross-sectional survey of early graduates was conducted to understand how they incorporate public health training into their careers. There were two study questions: What are the self-described early career activities of the graduates of the first three cohorts in the areas of leadership, research, and public health and what are the perceptions regarding the influence of the public health training on their careers? In the summer of 2020, a survey was sent to graduates from the classes of 2015, 2016, and 2017. In addition to several multiple-choice questions, the survey included an open-ended question on the impact of public health training in their careers. Inductive content analysis was used to analyze the responses to the open-ended question. Eighty-two of the 141 eligible graduates (63%) completed the survey; 80 of whom had participated or was currently participating in residency training. Forty-nine joined a residency in a primary care field. Many graduates had leadership roles in their early careers, including 35 who were selected as chief residents. Fifty-seven participated in research, most commonly in quality improvement (40), clinical (34) and community based (19). Over one third (30) chose to do work in public health during residency. Themes that emerged regarding the influence of public health training on their careers were: 1) Shifts in perspective, 2) Value of specific skills related to public health, 3) Steppingstone for professional opportunities 4) Focus on health disparities, social determinants, and inadequacies of the healthcare system, 5) Perception as leaders and mentors for peers, and 6) Preparedness for the pandemic. Graduates self-reported involvement in leadership, research, and public health activities as well as a commitment towards addressing some of our most pressing public health needs. Although long-term career outcomes need to be determined over time, graduates currently report considerable benefits of their public health training for their professional outcomes.
Numerical simulation of fabric anisotropy and strain localization of sand under simple shear

This paper studies the effects of initial fabric anisotropy of dry sand in simple shear deformation. The effects of anisotropy are taken into consideration through the modification of the mobilized friction in the Mohr–Coulomb‐type yield surface as a function of a fabric parameter. In addition, the constitutive model uses a gradient term that directly incorporates the effects of material length scale. The constitutive formulation is implemented into ABAQUS finite element code and used to simulate shearing of the dry sand under various conditions of simple shear. The numerical simulations show that while the shear stress response is affected by fabric anisotropy, its effects on strain localization in simple shear are minimal. This is in contrast to other devices such as the biaxial shear. The strain localization in simple shear is controlled more by the imposed boundary conditions. The use of material length scale is shown to remove the effects of strain localization in the shearing response. Copyright © 2009 John Wiley & Sons, Ltd.
Aclarubicin stimulates RNA polymerase II elongation at closely spaced divergent promoters

Anthracyclines are a class of widely prescribed anticancer drugs that disrupt chromatin by intercalating into DNA and enhancing nucleosome turnover. To understand the molecular consequences of anthracycline-mediated chromatin disruption, we used Cleavage Under Targets and Tagmentation (CUT&Tag) to profile RNA polymerase II during anthracycline treatment in Drosophila cells. We observed that treatment with the anthracycline aclarubicin leads to elevated levels of RNA polymerase II and changes in chromatin accessibility. We found that promoter proximity and orientation affect chromatin changes during aclarubicin treatment, as closely spaced divergent promoter pairs show greater chromatin changes when compared to codirectionally oriented tandem promoters. We also found that aclarubicin treatment changes the distribution of noncanonical DNA G-quadruplex structures both at promoters and at G-rich pericentromeric repeats. Our work suggests that the cancer-killing activity of aclarubicin is driven by the disruption of nucleosomes and RNA polymerase II.
Nutrition knowledge, diet quality and orthorexic behaviors in Polish students–a pre-post repeated cross-sectional study

Nutrition knowledge acquired in college students may not only help in promoting an adequate diet, but also lead to excessive preoccupation with healthy eating, which is referred to as orthorexic behaviors. This study aimed to assess the relationship between nutrition knowledge, diet quality and orthorexic behaviors among college students of food and nutrition majors. Data were collected from a sample of 131 college students through a pre-post repeated cross-sectional study conducted from 2018 to 2021. The participants were asked to complete the ORTO-6 questionnaire, the nutrition knowledge test “GAROTA”, and the Beliefs and Eating Habits Questionnaire (KomPAN). The results indicated that students’ preoccupation with healthy eating (orthorexic behaviors score) during the study period did not change, in contrast nutrition knowledge and diet quality increased. There was no correlation between the orthorexic behaviors score and the nutrition knowledge score, both at the beginning and end of the study. At the beginning of the study, the orthorexic behaviors score correlated positively with “Pro-Healthy Diet Index” and “Diet-Quality Index”, and inversely with “Non-Healthy Diet Index”. However, at the end of the study, no significant correlations were observed between these variables. It can be concluded that nutrition knowledge determined positively the quality of the diet of students in food and nutrition majors, while did not affect the occurrence of orthorexic behaviors.
Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice

Online advertising channels have commonly focused on maximizing total advertiser value (or welfare) to enhance long-run retention and channel healthiness. Previous literature has studied auction design by incorporating machine learning predictions on advertiser values (also known as machine-learned advice) through various forms to improve total welfare. Yet, such improvements could come at the cost of individual bidders' welfare and do not shed light on how particular advertiser bidding strategies impact welfare. Motivated by this, we present an analysis on an individual bidder's welfare loss in the autobidding world for auctions with and without machine-learned advice, and also uncover how advertiser strategies relate to such losses. In particular, we demonstrate how ad platforms can utilize ML advice to improve welfare guarantee on the aggregate and individual bidder level by setting ML advice as personalized reserve prices when the platform consists of autobidders who maximize value while respecting a return-on-ad spent (ROAS) constraint. Under parallel VCG auctions with such ML advice-based reserves, we present a worst-case welfare lower-bound guarantee for an individual autobidder, and show that the lower-bound guarantee is positively correlated with ML advice quality as well the scale of bids induced by the autobidder's bidding strategies. Further, we prove an impossibility result showing that no truthful, and possibly randomized mechanism with anonymous allocations can achieve universally better individual welfare guarantees than VCG, in presence of personalized reserves based on ML-advice of equal quality. Moreover, we extend our individual welfare guarantee results to generalized first price (GFP) and generalized second price (GSP) auctions.
Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization

To prevent the costly and inefficient use of resources on low-quality annotations, we want a method for creating a pool of dependable annotators who can effectively complete difficult tasks, such as evaluating automatic summarization. Thus, we investigate the recruitment of high-quality Amazon Mechanical Turk workers via a two-step pipeline. We show that we can successfully filter out subpar workers before they carry out the evaluations and obtain high-agreement annotations with similar constraints on resources. Although our workers demonstrate a strong consensus among themselves and CloudResearch workers, their alignment with expert judgments on a subset of the data is not as expected and needs further training in correctness. This paper still serves as a best practice for the recruitment of qualified annotators in other challenging annotation tasks.
Top-Down Framework for Weakly-supervised Grounded Image Captioning

Weakly-supervised grounded image captioning (WSGIC) aims to generate the caption and ground (localize) predicted object words in the input image without using bounding box supervision. Recent two-stage solutions mostly apply a bottom-up pipeline: (1) encode the input image into multiple region features using an object detector; (2) leverage region features for captioning and grounding. However, utilizing independent proposals produced by object detectors tends to make the subsequent grounded captioner overfitted in finding the correct object words, overlooking the relation between objects, and selecting incompatible proposal regions for grounding. To address these issues, we propose a one-stage weakly-supervised grounded captioner that directly takes the RGB image as input to perform captioning and grounding at the top-down image level. Specifically, we encode the image into visual token representations and propose a Recurrent Grounding Module (RGM) in the decoder to obtain precise Visual Language Attention Maps (VLAMs), which recognize the spatial locations of the objects. In addition, we explicitly inject a relation module into our one-stage framework to encourage relation understanding through multi-label classification. This relation semantics served as contextual information facilitating the prediction of relation and object words in the caption. We observe that the relation semantic not only assists the grounded captioner in generating a more accurate caption but also improves the grounding performance. We validate the effectiveness of our proposed method on two challenging datasets (Flick30k Entities captioning and MSCOCO captioning). The experimental results demonstrate that our method achieves state-of-the-art grounding performance.
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction

Speckle noise has long been an extensively studied problem in medical imaging. In recent years, there have been significant advances in leveraging deep learning methods for noise reduction. Nevertheless, adaptation of supervised learning models to unseen domains remains a challenging problem. Specifically, deep neural networks (DNNs) trained for computational imaging tasks are vulnerable to changes in the acquisition system’s physical parameters, such as: sampling space, resolution, and contrast. Even within the same acquisition system, performance degrades across datasets of different biological tissues. In this work, we propose a few-shot supervised learning framework for optical coherence tomography (OCT) noise reduction, that offers high-speed training (of the order of seconds) and requires only a single image, or part of an image, and a corresponding speckle-suppressed ground truth, for training. Furthermore, we formulate the domain shift problem for OCT diverse imaging systems and prove that the output resolution of a despeckling trained model is determined by the source domain resolution. We also provide possible remedies. We propose different practical implementations of our approach, verify and compare their applicability, robustness, and computational efficiency. Our results demonstrate the potential to improve sample complexity, generalization, and time efficiency, for coherent and non-coherent noise reduction via supervised learning models, that can also be leveraged for other real-time computer vision applications.
Non-reciprocal pattern formation of conserved fields

In recent years, non-reciprocally coupled systems have received growing attention. Previous work has shown that the interplay of non-reciprocal coupling and Goldstone modes can drive the emergence of temporal order such as traveling waves. We show that these phenomena are generically found in a broad class of pattern-forming systems, including mass-conserving reaction--diffusion systems and viscoelastic active gels. All these systems share a characteristic dispersion relation that acquires a non-zero imaginary part at the edge of the band of unstable modes and exhibit a regime of propagating structures (traveling waves or droplets). We show that models for these systems can be mapped to a common"normal form"that can be seen as a spatially extended generalization of the FitzHugh--Nagumo model, providing a unifying dynamical-systems perspective. We show that the minimal non-reciprocal Cahn--Hilliard (NRCH) equations exhibit a surprisingly rich set of behaviors, including interrupted coarsening of traveling waves without selection of a preferred wavelength and transversal undulations of wave fronts in two dimensions. We show that the emergence of traveling waves and their speed are precisely predicted from the local dispersion relation at interfaces far away from the homogeneous steady state. The traveling waves are therefore a consequence of spatially localized coalescence of hydrodynamic modes arising from mass conservation and translational invariance of displacement fields. Our work thus generalizes previously studied non-reciprocal phase transitions due to global mode coalescence.