Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceived effectiveness of objective elements of vaping prevention messages among adolescents

Introduction In recent years, vaping prevention campaigns have proliferated in response to a surge of e-cigarette use among adolescents in the USA. To date, the research literature has provided minimal guidance as to what vaping prevention message elements have the greatest potential for discouraging vaping, are ineffective or have unintended negative effects. The purpose of the current study was to identify and test a large set of vaping prevention ads used by federal, state, local and non-governmental agencies, examining how objectively coded message elements of vaping prevention messages might affect youth. Methods A convenience sample of adolescents (N=1501) completed an online survey with each participant rating seven randomly selected vaping prevention ads from a pool of 220 ads on perceived message effectiveness (PME) and vaping appeal. Ads were coded on 37 objective elements in three message categories: themes, imagery and other features. Analyses examined how objective elements predicted PME. Results Addiction, chemicals, negative health symptoms and effects, and cigarette comparison themes were associated with higher PME, as were graphic images and warning symbols. Industry targeting, environmental impact, flavour themes, images of food and people’s faces were associated with lower PME, as were hashtags, statistics and first-person language or the word ‘teen’. Most elements were not associated with appeal, but ads with a flavour theme were associated with increased vaping appeal. Conclusion Promising vaping prevention messages focus on the adverse consequences of vaping, use negative imagery and avoid speaking for teens using their vernacular or perspective.
Auto-calibration for efficient diesel engines with a waste heat recovery system

This work focuses on auto-calibration of diesel engines with Waste Heat Recovery systems. Using an integrated control fashion, the objective is to optimize on-line the complete powertrain by minimizing the total operational costs, associated with fuel and AdBlue consumption, for minimum CO2 emissions. This chapter gives an overview of the challenges and state-of-the-art in automotive Waste Heat Recovery systems. Furthermore, it presents the main contributions and methodologies used in this thesis. 1.1 Drivers & challenges for diesel trucks Despite diminishing fossil fuel resources and rising environmental impacts, the global energy consumption is still growing [1]. This brings challenges to the society, since the unwanted byproducts from industrial processes, such as greenhouse gases, lead to global warming and climate change. Fig. 1.1 shows the world energy consumption over the last 25 years. Consumption increased for all fuels, reaching record levels for every fuel type except nuclear power. As the world population continues to grow, the demand for energy and their environmental impacts will grow consequently. According to the International Energy Agency (IEA), the transportation sector accounts for 27% of energy use worldwide. Around 94% of that energy comes from oil, from which the largest part is used in road transport, i.e., 60% by light vehicles (gross vehicle weight of not more than 3.5 tonnes) and 22% by trucks. Around 6% of the global CO2 emissions are coming from trucks [2]. At the same time, the CO2 emissions are in strong connection with the fuel consumption, which accounts for over one-third of the total truck operational costs. Although modern trucks
Dynamic Moore–Penrose Inversion With Unknown Derivatives: Gradient Neural Network Approach

Finding dynamic Moore–Penrose inverses (DMPIs) in real-time is a challenging problem due to the time-varying nature of the inverse. Traditional numerical methods for static Moore–Penrose inverse are not efficient for calculating DMPIs and are restricted by serial processing. The current state-of-the-art method for finding DMPIs is called the zeroing neural network (ZNN) method, which requires that the time derivative of the associated matrix is available all the time during the solution process. However, in practice, the time derivative of the associated dynamic matrix may not be available in a real-time manner or be subject to noises caused by differentiators. In this article, we propose a novel gradient-based neural network (GNN) method for computing DMPIs, which does not need the time derivative of the associated dynamic matrix. In particular, the neural state matrix of the proposed GNN converges to the theoretical DMPI in finite time. The finite-time convergence is kept by simply setting a large parameter when there are additive noises in the implementation of the GNN model. Simulation results demonstrate the efficacy and superiority of the proposed GNN method.
Self-sampled specimens demonstrate comparable accuracy and consistency to clinician-sampled specimens for HPV detection among men who have sex with men in China

Objectives Despite a high risk of human papillomavirus (HPV) infection among men who have sex with men (MSM), few have ever tested. This study aimed to evaluate the feasibility and accuracy of HPV self-sampling among Chinese MSM, with the purpose of measuring the feasibility of self-sampling as an alternative in HPV testing scenarios. Methods Eligible participants were those who were assigned male at birth, aged 18 or above, had sex with men in the past year and had never gotten HPV vaccine. Participants followed the instructions to self-sample and were also clinician-sampled from the same anatomical sites (oral fluid, penis and rectum) in both approaches. All specimens were processed using multiplex PCR assay. The reference standard of an individual with a true positive for HPV is determined via PCR test, regardless of sampling methods. Sensitivity and specificity were calculated for each approach independently and kappa test was used to assess the consistency between the two approaches. Results Overall, 211 MSM were recruited at the local clinic from April to October 2020 in Zhuhai, China. The mean age was 31 years old. Only 3% of the participants sought help from healthcare providers during self-sampling. The prevalence of HPV was 49% (103 of 211). Clinician sampling detected 91 of 103 MSM infected with HPV, with a sensitivity of 88.3% (95% CI 80.2 to 93.6) and a specificity of 100.0% (95% CI 95.7 to 100.0). Self-sampling detected 81 of 103 MSM infected with HPV, with a sensitivity of 78.6% (95% CI 69.2 to 85.9) and a specificity of 100.0% (95% CI 95.7 to 100.0). The level of agreement was moderate between clinician sampling and self-sampling (k=0.67). Conclusions Self-sampled HPV testing demonstrated comparable accuracy and consistency to clinician sampling among MSM in China. It holds the potential to complement sexual health services especially among key populations.
The use of infrared thermography to detect the skin temperature response to physical activity

Physical activity has a noticeable effect on skin blood flow and temperature. The thermal regulatory and hemodynamic processes during physical activity are controlled by two conflicting mechanisms: the skin vasoconstriction induced by the blood flow demand to active muscles and the skin vasodilation required by thermoregulation to increase warm blood flow and heat conduction to the skin. The time-evolution of skin temperature during exercise can give useful information about the adaptation of the subject as a function of specific type, intensity and duration of exercise. In this paper, infrared thermography is used to investigate the thermal response of skin temperature during running exercise on treadmill for a group of seven healthy and trained runners. Two different treadmill exercises are considered: a graded load exercise and a constant load exercise; for both exercises the duration was 30 minutes. Within the limits due to the relatively small size of the sample group, results typically indicate a fall in skin temperature during the initial stage of running exercise. As the exercise progresses, the dynamics of the skin temperature response depends on the type of exercise (graded versus constant load) and probably on the level of training of the subject.
LAMP2 regulates autophagy in the thymic epithelium and thymic stroma-dependent CD4 T cell development

ABSTRACT Within the thymus, thymic epithelial cells (TECs) provide dedicated thymic stroma microenvironments for T cell development. Because TEC functionality is sensitive to aging and cytoablative therapies, unraveling the molecular elements that coordinate their thymopoietic role has fundamental and clinical implications. Particularly, the selection of CD4 T cells depends on interactions between TCRs expressed on T cell precursors and self-peptides:MHC II complexes presented by cortical TECs (cTECs). Although the macroautophagy/autophagy-lysosomal protein degradation pathway is implicated in CD4 T cell selection, the molecular mechanism that controls the generation of selecting MHC II ligands remains elusive. LAMP2 (lysosomal-associated membrane protein 2) is a well-recognized mediator of autolysosome (AL) maturation. We showed that LAMP2 is highly expressed in cTECs. Notably, genetic inactivation of Lamp2 in thymic stromal cells specifically impaired the development of CD4 T cells that completed positive selection, without misdirecting MHC II-restricted cells into the CD8 lineage. Mechanistically, defects in autophagy in lamp2-deficient cTECs were linked to alterations in MHC II processing, which was associated with a marked reduction in CD4 TCR repertoire diversity selected within the lamp2-deficient thymic stroma. Together, our findings suggest that LAMP2 interconnects the autophagy-lysosomal axis and the processing of selecting self-peptides:MHC II complexes in cTECs, underling its implications for the generation of a broad CD4 TCR repertoire. Abbreviations: AIRE: autoimmune regulator (autoimmune polyendocrinopathy candidiasis ectodermal dystrophy); AL: autolysosome; AP: autophagosome; Baf-A1: bafilomycin A1; B2M: beta-2 microglobulin; CTSL: cathepsin L; CD74/Ii: CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated); CFSE: carboxyfluorescein succinimidyl ester; CFU: colony-forming unit; CLIP: class II-associated invariant chain peptides; cTECs: cortical TECs dKO: double knockout; DN: double negative; DP: double positive; ENPEP/LY51: glutamyl aminopeptidase; FOXP3: forkhead box; P3 IFNG/IFNγ: interferon gamma; IKZF2/HELIOS: IKAROS family zinc finger 2; IL2RA/CD25: interleukin 2 receptor, alpha chain; KO: knockout; LAMP2: lysosomal-associated membrane protein 2; LIP: lymphopenia-induced proliferation; Lm: Listeria monocytogenes; MAP1LC3/LC3: microtubule-associated protein 1 light chain 3; MHC: major histocompatibility complex; mTECs: medullary TECs; PRSS16/TSSP: protease, serine 16 (thymus); SELL/CD62L: selectin, lymphocyte; SP: single positive; TCR: T cell receptor; TCRB: T cell receptor beta chain; TECs: thymic epithelial cells; UEA-1: Ulex europaeus agglutinin-1; WT: wild-type.
Circulation of Streptococcus agalactiae ST103 in a Free Stall Italian Dairy Farm

Streptococcus agalactiae is an important pathogen in humans and cattle. Bovine mastitis caused by this bacterium and its control are generally associated with contagious transmission between animals. ABSTRACT We report here on an outbreak of mastitis caused by Streptococcus agalactiae, or group B Streptococcus, in a northern Italy (Lombardy Region) free stall dairy farm. This outbreak was unusual because it occurred in a closed dairy herd and proved to be extremely difficult to resolve even after the application of the classical control procedures, which are specifically focused on the contagious nature of S. agalactiae. In order to better understand the potential origins of the pathogen and the critical points that could impair the eradication program and to investigate the possible presence of S. agalactiae in sources outside the mammary gland, we collected 656 individual composite milk samples, 577 samples from extramammary body sites (289 rectal, 284 vaginal, and four throat samples from milking cows, dry cows, heifers, and calves), and 81 samples from the cattle environment, including the milking parlor and the barn. Twenty-two S. agalactiae isolates were obtained from lactating cows or their environment. Of these, nine were isolated from milk, two were from rectal swabs, and two were from vaginal swabs, while nine were isolated from environmental samples. Based on molecular serotyping, pilus island (PI) typing and multilocus sequence typing, all isolates belonged to serotype III, pilus type PI-1/2b, and sequence type 103 (ST103), a type previously described to have an environmental transmission cycle and a potential human origin. Once the classical mastitis control measures were supplemented with environmental hygiene measures, herd monitoring using bulk tank milk revealed no further positive results for S. agalactiae, and the outbreak was considered resolved. IMPORTANCE Streptococcus agalactiae is an important pathogen in humans and cattle. Bovine mastitis caused by this bacterium and its control are generally associated with contagious transmission between animals. More recently, the presence of a fecal-oral transmission cycle in cattle has been proposed, linked to the ability of some S. agalactiae strains to survive in the bovine gastrointestinal tract and environment. Based on analysis of 1,316 specimens from cattle and their environment on a single dairy farm, we demonstrate the presence of sequence type 103 (ST103), which may have an environmental mode of transmission. This possibility was supported by the fact that the mastitis outbreak could not be controlled through measures to prevent contagious transmission alone and required additional environmental hygiene measures to be brought to a halt. This case study highlights that measures to control animal disease need to evolve alongside the microorganisms that cause them.
Structural, mechanistic, and physiological insights into phospholipase A-mediated membrane phospholipid degradation in Pseudomonas aeruginosa

Cells steadily adapt their membrane glycerophospholipid (GPL) composition to changing environmental and developmental conditions. While the regulation of membrane homeostasis via GPL synthesis in bacteria has been studied in detail, the mechanisms underlying the controlled degradation of endogenous GPLs remain unknown. Thus far, the function of intracellular phospholipases A (PLAs) in GPL remodeling (Lands cycle) in bacteria is not clearly established. Here, we identified the first cytoplasmic membrane-bound phospholipase A1 (PlaF) from Pseudomonas aeruginosa, which might be involved in the Lands cycle. PlaF is an important virulence factor, as the P. aeruginosa ΔplaF mutant showed strongly attenuated virulence in Galleria mellonella and macrophages. We present a 2.0-Å-resolution crystal structure of PlaF, the first structure that reveals homodimerization of a single-pass transmembrane (TM) full-length protein. PlaF dimerization, mediated solely through the intermolecular interactions of TM and juxtamembrane regions, inhibits its activity. The dimerization site and the catalytic sites are linked by an intricate ligand-mediated interaction network, which might explain the product (fatty acid) feedback inhibition observed with the purified PlaF protein. We used molecular dynamics simulations and configurational free energy computations to suggest a model of PlaF activation through a coupled monomerization and tilting of the monomer in the membrane, which constrains the active site cavity into contact with the GPL substrates. Thus, these data show the importance of the PlaF-mediated GPL remodeling pathway for virulence and could pave the way for the development of novel therapeutics targeting PlaF.
Awareness of parents about characteristics and carrying habits of backpack and its comparison with behavioral practices of their children

Background: Use of heavy backpacks and their potential to cause musculoskeletal injuries has been a matter of concern. Spine is in critical stage of development between the age group of 11-14 years. Musculoskeletal injury at this stage may lead to long term consequences. Parental awareness and behavioral practices of their children regarding backpack related health issues has major role to play. Hence in this cross sectional study parental knowledge regarding safe characteristics of backpack and correct method of using backpack was assessed and compared with behavioral practices of their children. Methods: Randomly selected 250 normal healthy school children aged 11-14 years and using backpacks from Kolhapur city, Maharashtra, India was study population.124 boys and 126 girls from 6 schools, situated in different parts of city, representative of various economic strata of society participated in the study. On unscheduled day backpacks of children were assessed for its physical characteristics. Backpack carrying habit of the children was assessed when they carried their backpacks in their usual fashion. A validated questionnaire was administered to parents of school children. Data received was recorded in MS Excel worksheet and analyzed. Results: Mean actual weight of backpack was found to be 7.05 ± SD 1.15 kg with range of 4.32 to 12.5 kg. Mean relative weight of backpack i.e. actual weight of backpack as compared to weight of child was 16.00 ± SD 2.08 kg with range of 11 to 23 kg, which is certainly more than recommended weight. Knowledge of parents regarding characteristics and carrying practices of backpack was satisfactory in 62-90% parents, however it poorly reflected in behavioral practices of their children in most of the parameters. Conclusions: Parents knowledge about characteristics and carrying habits of backpack is poorly reflected into actual behavioral practices.
Climate predictors and climate change projections for avian haemosporidian prevalence in Mexico

Abstract Abstract Long-term, inter-annual and seasonal variation in temperature and precipitation influence the distribution and prevalence of intraerythrocytic haemosporidian parasites. We characterized the climatic niche behind the prevalence of the three main haemosporidian genera (Haemoproteus, Plasmodium and Leucocytozoon) in central-eastern Mexico, to understand their main climate drivers. Then, we projected the influence of climate change over prevalence distribution in the region. Using the MaxEnt modelling algorithm, we assessed the relative contribution of bioclimatic predictor variables to identify those most influential to haemosporidian prevalence in different avian communities within the region. Two contrasting climate change scenarios for 2070 were used to create distribution models to explain spatial turnover in prevalence caused by climate change. We assigned our study sites into polygonal operational climatic units (OCUs) and used the general haemosporidian prevalence for each OCU to indirectly measure environmental suitability for these parasites. A high statistical association between global prevalence and the bioclimatic variables ‘mean diurnal temperature range’ and ‘annual temperature range’ was found. Climate change projections for 2070 showed a significant modification of the current distribution of suitable climate areas for haemosporidians in the study region.
Mind the gap: an administrative data analysis of dental treatment outcomes and severe mental illness.

BACKGROUND Oral health of people with severe mental illness (SMI) remains an important public health issue, despite evidence pointing suboptimal dental health outcomes in this population. AIMS We test the hypotheses that individuals with SMI have lower contact with dental services and higher levels of fillings and extractions. We also examine effect modification by age-group. METHODS We used linked administrative data from general practitioner (GP), hospital and dental records to examine dental service use and treatments (extractions, fillings, crowns and x-rays) among the Northern Ireland hospital population between January 2015 and November 2019 (N = 798,564). RESULTS After adjusting for available socio-demographic characteristics, analysis indicated lower levels of dental service use (OR = 0.80, 95% CI = 0.77, 0.84), including lower likelihood of fillings (OR = 0.81, 0.77, 0.84) and x-rays (OR = 0.77, 0.74, 0.81), but higher levels of extractions (OR = 1.23, 1.18, 1.29) among patients with SMI. We also found effect modification by age-group, with older individuals with SMI less likely to have each of the four dental treatments. CONCLUSIONS We suggest that in the general area of physical healthcare for people with SMI, oral healthcare is neglected. There is a need for improved understanding of the barriers to routine care and treatment, and development of psychoeducational interventions.
Human CD4+/CD8α+ regulatory T cells induced by Faecalibacterium prausnitzii protect against intestinal inflammation

Faecalibacterium prausnitzii (F. prausnitzii), a dominant bacterium of the human microbiota, is decreased in patients with inflammatory bowel diseases (IBD) and exhibits anti-inflammatory effects. In human, colonic lamina propria contains IL-10-positive, Foxp3-negative regulatory T cells (Treg) characterized by a double expression of CD4 and CD8α (DP8α) and a specificity for F. prausnitzii. This Treg subset is decreased in IBD. The in vivo effect of DP8α cells has not been evaluated yet. Here, using a humanized model of NOD.Prkcscid IL2rγ-/- (NSG) immunodeficient mouse strain that expresses human leucocyte antigen D-related 4 (HLA-DR4) but not murine class II (NSG-Ab° DR4), we demonstrated a protective effect of DP8α Tregs combined with F. prausnitzii administration in a colitis model. In a cohort of patients with IBD, we showed an independent association between the frequency of circulating DP8α cells and disease activity. Finally, we pointed out a positive correlation between F. prausnitzii-specific DP8α Tregs and the amount of F. prausnitzii in fecal microbiota in healthy individuals and patients with ileal Crohn’s disease.
ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites

N6-methyladenosine (m6A) is a universal post-transcriptional modification of RNAs, and it is widely involved in various biological processes. Identifying m6A modification sites accurately is indispensable to further investigate m6A-mediated biological functions. How to better represent RNA sequences is crucial for building effective computational methods for detecting m6A modification sites. However, traditional encoding methods require complex biological prior knowledge and are time-consuming. Furthermore, most of the existing m6A sites prediction methods are limited to single species, and few methods are able to predict m6A sites across different species and tissues. Thus, it is necessary to design a more efficient computational method to predict m6A sites across multiple species and tissues. In this paper, we proposed ELMo4m6A, a contextual language embedding-based method for predicting m6A sites from RNA sequences without any prior knowledge. ELMo4m6A first learns embeddings of RNA sequences using a language model ELMo, then uses a hybrid convolutional neural network (CNN) and long short-term memory (LSTM) to identify m6A sites. The results of 5-fold cross-validation and independent testing demonstrate that ELMo4m6A is superior to state-of-the-art methods. Moreover, we applied integrated gradients to find potential sequence patterns contributing to m6A sites.