Miracle-dz/UniFAR-FTUs huggingface dataset:
Expanding the upper‐temperature boundary for the microalga Picochlorum sp. (BPE23) by adaptive laboratory evolution

Closed photobioreactors reach temperatures that reduce microalgal production or even cause culture collapses. Cooling can maintain the temperature within tolerable boundaries, but cooling is energy‐intensive and expensive. Thermotolerant microalgal strains can reduce dependence on such cooling. In this study, adaptive laboratory evolution was performed for 390 days to further increase the maximal tolerable temperature for the already thermotolerant microalgae Picochlorum sp. (BPE23). The parental wild‐type strain of Picochlorum sp. (BPE23) exhibited a maximum mid‐day growth temperature of 47.5°C, whereas the isolated clones grew up to 49°C. At a lower temperature of 40°C, the growth rate and absorption cross‐sectional area were similar for the wild‐type strain and the evolved clones. Interestingly, the clones showed a 46% increase in cell volume compared to the wild‐type strain. The evolved clones with an expanded upper‐temperature boundary can be applied for broader temperature control of 1.5°C, without trade‐off effects at lower temperatures.
Exploring potential sources of childhood trauma: A qualitative study with autistic adults and caregivers

The stressors autistic individuals encounter and experience as traumatic may vary from non-autistics. We conducted a qualitative study to identify potential sources of trauma for autistic individuals and evaluate correspondence with a standard measure. We enrolled autistic adults (N = 14) and caregivers (N= 15) with varied adversities, levels of functioning, and socio-demographics. Participants completed standard measures of autism, traumatic exposures and stress, and qualitative interviews, which were submitted to thematic analysis. A wide range of experiences were described as traumatic. Whereas some reflected traditional traumas (e.g. maltreatment) and forms of social marginalization, others reflected conflicts between autistic characteristics and the environment (e.g. sensory trauma). All adults and caregivers described sources of trauma in interviews not captured by standardized measures. Varied stressful experiences, many not detected by a standardized measure, may have a traumatic effect on autistic individuals. Whereas some reflect commonly recognized trauma sources, others may reflect particular vulnerabilities for autistic individuals. Results have implications for assessing traumatic events and understanding their contribution to mental health inequities in the autistic population. Lay abstract The stressors autistic individuals encounter and experience as traumatic may vary from those not on the spectrum and typically measured. We conducted in-depth interviews with autistic adults and caregivers of children and adults on the spectrum to identify potential sources of trauma for autistic individuals and evaluate the ability of a standard trauma measure to capture those experiences. Fourteen autistic adults and 15 caregivers with varied backgrounds, clinical profiles, and histories of adversity were interviewed. Participants also completed standard measures of autism, traumatic exposures, and stress. Interviews were analyzed to record both traditional sources of trauma, for comparison with the standard measure, and distinct sources, described as traumatic only in the narratives of participants. Participants described varied experiences as traumatic. Whereas some reflected traditional traumas (e.g. maltreatment) and forms of social marginalization, others reflected conflicts between autistic characteristics and the environment (e.g. sensory trauma). All adults and most caregivers described sources of trauma in interviews not reported on the standard measure. Results have implications for assessing traumatic events in autism and for understanding their contribution to the mental health of this group.
Influence of Calcineurin Inhibitor Choice on Outcomes in Kidney Transplant Recipients Aged ≥60 Y: A Collaborative Transplant Study Report

Background. Patients aged ≥60 y represent the fastest growing population among kidney transplant recipients and waitlist patients. They show an elevated infection risk and are frequently transplanted with multiple human leukocyte antigen mismatches. Whether the choice of calcineurin inhibitor influences graft survival, mortality, or key secondary outcomes such as infections in this vulnerable recipient population is unknown. Methods. A total of 31 177 kidney transplants from deceased donors performed between 2000 and 2019 at European centers and reported to the Collaborative Transplant Study were analyzed using multivariable Cox and logistic regression analyses. All recipients were ≥60 y old and received tacrolimus (Tac) or cyclosporine A on an intention-to-treat basis, combined with mycophenolic acid or azathioprine plus/minus steroids. Results. The risk of 3-y death-censored graft loss and patient mortality did not differ significantly between Tac- and cyclosporine A-treated patients (hazard ratio 0.98 and 0.95, P = 0.74 and 0.20, respectively). No difference was found in the overall risk of hospitalization for infection (hazard ratio = 0.95, P = 0.19); however, a lower incidence of rejection treatment (hazard ratio = 0.81, P < 0.001) was observed in Tac-treated patients. Assessment of pathogen-specific hospitalizations revealed no difference in the risk of hospitalization due to bacterial infection (odds ratio = 1.00, P = 0.96), but a significantly higher risk of hospitalization due to human polyomavirus infection was found among Tac-treated patients (odds ratio = 2.45, P = 0.002). The incidence of de novo diabetes was higher for Tac-based immunosuppression (odds ratio = 1.79, P < 0.001). Conclusions. Calcineurin inhibitor selection has no significant influence on death-censored graft survival, mortality, and overall infection risk in ≥60-y-old kidney transplant recipients.
AC-2020-12-1420.R1 – HIV care providers’ familiarity, concerns, and attitudes about HIV PrEP in Colombia: insights from the PrEP-Col-Study

ABSTRACT In 2019, Colombia approved the combination of tenofovir disoproxil fumarate/emtricitabine for HIV Pre-Exposure Prophylaxis (PrEP). Therefore, we conducted a situational analysis in HIV-care providers to identify barriers and facilitators for PrEP implementation. A survey was applied to a non-probabilistic sample of health care workers of HIV-specialized clinics. We examined PrEP awareness and familiarity, comfort with PrEP-related activities, perceived barriers for PrEP implementation, concerns, and attitudes. Poisson regressions assessed the relationship between these factors and the variable “having a plan to offer PrEP”. The participation rate was 41% and included physicians (42.6%) and other health professionals (57.4%). Fifty-one percent of the participants reported more than five years of experience caring for people living with HIV. Forty-two percent of non-physician health care workers were nurses. Most reported high familiarity/comfort with PrEP-relevant activities. Concerns about PrEP were prevalent (> 50%) and included causing more harm than good, reducing condom use, medication non-adherence, drug resistance, and healthcare system barriers. Physicians had a plan to offer PrEP (72.2%) more often than other health professionals (52.6). Having a plan to offer PrEP was related to PrEP knowledge and comfort assessing sexual behavior and providing HIV counseling. Overall, about half of HIV-care providers seemed ready to offer PrEP and constitute an asset for PrEP implementation efforts in Colombia. PrEP awareness among non-physicians, PrEP concerns, and negative attitudes need to be addressed to enhance implementation.
Real-world implementation of 4-component meningococcal serogroup B vaccine (4CMenB): implications for clinical practices

ABSTRACT Introduction Invasive meningococcal disease due to serogroup B (MenB) is an uncommon but life-threatening disease. The 4-component meningococcal serogroup B vaccine (4CMenB) is the only MenB vaccine with real-world evidence supporting a reduction in incidence without safety concerns. Areas covered We reviewed recommendations and real-world implementation of 4CMenB in National Immunization Programs (NIPs) and implications for clinical practice through a non-systematic literature search. Expert Opinion 4CMenB is registered in 45 countries, 33 of which recommend it clinically: nine for infants, children, adolescents, and high-risk groups; 11 for infants and high-risk groups; the US for individuals aged 16−23 years and high-risk groups; two for infants; 10 for high-risk groups and/or outbreak control. Dosing schedule varies between countries. To date, nine countries include 4CMenB in their NIP: UK, Andorra, Ireland, Italy, San Marino, Lithuania, Malta, Czech Republic, and Portugal. Australia funds it for Aboriginal and Torres Strait Islander children under 2 years, and high-risk individuals. South Australia funds for all infants and adolescents. Many factors influenced introduction into NIPs: disease burden, public awareness, cost-effectiveness, prior meningococcal vaccination programs, efficacy and safety profile. In the future, more countries might consider including 4CMenB in their NIP due to growing evidence on effectiveness and safety.
Propolis add‐on therapy alleviates depressive symptoms; A randomized placebo‐controlled clinical trial

Almost half of the treatments with common antidepressants are failed or result in a relapse of symptoms after cessation. Moreover, the antidepressants side effects rationalize the use of complementary medicine as an adjunctive therapy. This study aimed to evaluate the efficacy and safety of propolis in complementary therapy of depressive disorder. Chromatography technics were used to detect propolis components. A double‐blind, randomized, placebo‐controlled trial was designed, and 54 participants were randomly assigned to receive either propolis or Placebo for 6 weeks. Treatment was defined as a decrease in 17‐item Hamilton Depression Scale (HAMD‐17) and Beck depression inventory (BDI). On D42, there was a significant reduction in HAMD score in the propolis group compared with the placebo group (p < .0001). HAMD score significantly decreased in the propolis group from 20.92 ± 3.77 on D0 to 10.03 ± 5.55 on D42, and BDI score was improved from 29.25 ± 3.06 on D0 to 14.17 ± 4.86 on D42. Our findings confirmed that complementary treatment of propolis with SSRIs could safely attenuate symptoms of moderate–severe MDD. These antidepressant effects might result from the rich phenolic acids and flavonoids content of Azerbaijan propolis.
Hypertriglyceridemia: rationale, design and implementation of the Australian Hypertriglyceridemia Registry

Purpose of review Hypertriglyceridemia (HTG) is a risk factor for atherosclerotic cardiovascular disease (ASCVD), aortic stenosis, hepatic steatosis and pancreatitis. We briefly review the aetiology and treatment of HTG and familial chylomicronemia syndrome (FCS), as well as the implementation of a clinical quality registry for improving care, the Australian Hypertriglyceridemia (AUSTRIG) Registry. Recent findings There is a need to improve the detection of individuals with severe HTG and FCS, who could benefit from more intense and novel treatments to prevent end-organ damage. Patient registries provide valuable data for advancing care of individuals with severe HTG at high risk of acute pancreatitis, steatohepatitis and ASCVD. However, there is a paucity of registries of such patients. We outline the design and implementation of the AUSTRIG Registry. Summary Clinical registries can be employed in many ways for improving outcomes for patients with HTG, through the collation and analysis of data for enabling health service planning, clinical trials and audits, and for better informing and empowering registrants.
ResFinder – an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes

Antimicrobial resistance (AMR) is one of the most important health threats globally. The ability to accurately identify resistant bacterial isolates and the individual antimicrobial resistance genes (ARGs) is essential for understanding the evolution and emergence of AMR and to provide appropriate treatment. The rapid developments in next-generation sequencing technologies have made this technology available to researchers and microbiologists at routine laboratories around the world. However, tools available for those with limited experience with bioinformatics are lacking, especially to enable researchers and microbiologists in low- and middle-income countries (LMICs) to perform their own studies. The CGE-tools (Center for Genomic Epidemiology) including ResFinder (https://cge.cbs.dtu.dk/services/ResFinder/) was developed to provide freely available easy to use online bioinformatic tools allowing inexperienced researchers and microbiologists to perform simple bioinformatic analyses. The main purpose was and is to provide these solutions for people involved in frontline diagnosis especially in LMICs. Since its original publication in 2012, ResFinder has undergone a number of improvements including improvement of the code and databases, inclusion of point mutations for selected bacterial species and predictions of phenotypes also for selected species. As of 28 September 2021, 820 803 analyses have been performed using ResFinder from 61 776 IP-addresses in 171 countries. ResFinder clearly fulfills a need for several people around the globe and we hope to be able to continue to provide this service free of charge in the future. We also hope and expect to provide further improvements including phenotypic predictions for additional bacterial species.
Complaint-driven preferences & trust: patient’s views on consulting GP trainees

ABSTRACT Background Work-based learning depends on patients’ consent to have trainees involved in their care. However, patients can refuse trainees, which might lead to the loss of learning experiences. Improved understanding of patients’ views on consulting trainees may provide useful insights to further optimise learning for trainees. Methods We performed a qualitative study with 28 patients in The Netherlands. Participants were recruited from GP practices, and were purposively sampled on (un)willingness to consult GP trainees. In semi-structured interviews patients’ perspectives and willingness to consult a trainee were explored. Transcripts were thematically analysed using an inductive approach. Results Two themes explained patients’ views on consulting GP trainees: Presenting complaint-driven preferences and Trust in trainees’ capabilities. Patients select their doctor based on complaint-driven preferences and chose trainees if they fulfilled these preferences. For urgent, gender-specific and minor complaints, patients prefer timeliness, gender concordance or availability. Patients with more complex, long-term problems prefer to consult a trusted doctor with whom they have a longitudinal relationship. Through repeated visits and empathic behaviour trainees can become this doctor. Before patients consider consulting a trainee, they need to have trust in the trainee’s capabilities. This trust is related to the basic trust patients have in the education of the trainee, their knowledge about trainees’ capabilities and supervisory arrangements. Conclusions Patients’ decision to visit a trainee is fluid. Patients will visit a trainee when their complaint-driven preferences are satisfied. Influencing trainees’ fulfilment of these preferences and patients’ trust in trainees can make patients more willing to consult trainees.
Validity and Reliability of the Korean Version of the Health Information Technology Usability Evaluation Scale: Psychometric Evaluation

Background Rigorous development of mobile technologies requires the use of validated instruments to evaluate the usability of these tools, which has become more relevant with the expansion of these technologies. Although various usability evaluation tools have been developed, there are relatively few simple evaluation instruments that have been validated across diseases and languages in mobile health (mHealth) information technology for use in multiple diseases. Objective The purpose of this study is to validate the Korean version of the Health Information Technology Usability Evaluation Scale (Korean Health-ITUES) and assess its applicability for different health conditions. Methods To develop the Korean Health-ITUES, we used a validation process involving the following 3 steps: (1) customization of the Health-ITUES for menstrual symptoms, (2) translation of the Health-ITUES from English into Korean, and (3) examination of the reliability and validity of the instrument. The translation process adhered to the World Health Organization (WHO) guidelines for translation and back-translation, expert review, and reconciliation. Results The Korean Health-ITUES showed reliable internal consistency with Cronbach α=. 951; meanwhile, factor loadings of the 20 items in the 4 subscales ranged from 0.416 to 0.892. Conclusions The Health-ITUES demonstrated reliability and validity for its use in assessing mHealth apps’ usability in young Korean women with menstrual discomfort. Given the strong psychometric properties of this tool in Korean and English and across 2 different health conditions, the Health-ITUES is a valid and reliable instrument for assessing the usability of mHealth apps. The Health-ITUES is also a valid instrument for evaluating mHealth technologies, which are widely used by patients to self-manage their health and by providers to improve health care delivery.
On Evaluation Metrics for Graph Generative Models

In image generation, generative models can be evaluated naturally by visually inspecting model outputs. However, this is not always the case for graph generative models (GGMs), making their evaluation challenging. Currently, the standard process for evaluating GGMs suffers from three critical limitations: i) it does not produce a single score which makes model selection challenging, ii) in many cases it fails to consider underlying edge and node features, and iii) it is prohibitively slow to perform. In this work, we mitigate these issues by searching for scalar, domain-agnostic, and scalable metrics for evaluating and ranking GGMs. To this end, we study existing GGM metrics and neural-network-based metrics emerging from generative models of images that use embeddings extracted from a task-specific network. Motivated by the power of certain Graph Neural Networks (GNNs) to extract meaningful graph representations without any training, we introduce several metrics based on the features extracted by an untrained random GNN. We design experiments to thoroughly test metrics on their ability to measure the diversity and fidelity of generated graphs, as well as their sample and computational efficiency. Depending on the quantity of samples, we recommend one of two random-GNN-based metrics that we show to be more expressive than pre-existing metrics. While we focus on applying these metrics to GGM evaluation, in practice this enables the ability to easily compute the dissimilarity between any two sets of graphs regardless of domain. Our code is released at: https://github.com/uoguelph-mlrg/GGM-metrics.
Learning to Predict Gradients for Semi-Supervised Continual Learning

A key challenge for machine intelligence is to learn new visual concepts without forgetting the previously acquired knowledge. Continual learning (CL) is aimed toward addressing this challenge. However, there still exists a gap between CL and human learning. In particular, humans are able to continually learn from the samples associated with known or unknown labels in their daily lives, whereas existing CL and semi-supervised CL (SSCL) methods assume that the training samples are associated with known labels. Specifically, we are interested in two questions: 1) how to utilize unrelated unlabeled data for the SSCL task and 2) how unlabeled data affect learning and catastrophic forgetting in the CL task. To explore these issues, we formulate a new SSCL method, which can be generically applied to existing CL models. Furthermore, we propose a novel gradient learner to learn from labeled data to predict gradients on unlabeled data. In this way, the unlabeled data can fit into the supervised CL framework. We extensively evaluate the proposed method on mainstream CL methods, adversarial CL (ACL), and semi-supervised learning (SSL) tasks. The proposed method achieves state-of-the-art performance on classification accuracy and backward transfer (BWT) in the CL setting while achieving the desired performance on classification accuracy in the SSL setting. This implies that the unlabeled images can enhance the generalizability of CL models on the predictive ability of unseen data and significantly alleviate catastrophic forgetting. The code is available at https://github.com/luoyan407/grad_prediction. git.
Temporal Aggregation for Adaptive RGBT Tracking

Visual object tracking with RGB and thermal infrared (TIR) spectra available, shorted in RGBT tracking, is a novel and challenging research topic which draws increasing attention nowadays. In this paper, we propose an RGBT tracker which takes spatio-temporal clues into account for robust appearance model learning, and simultaneously, constructs an adaptive fusion sub-network for cross-modal interactions. Unlike most existing RGBT trackers that implement object tracking tasks with only spatial information included, temporal information is further considered in this method. Specifically, different from traditional Siamese trackers, which only obtain one search image during the process of picking up template-search image pairs, an extra search sample adjacent to the original one is selected to predict the temporal transformation, resulting in improved robustness of tracking performance.As for multi-modal tracking, constrained to the limited RGBT datasets, the adaptive fusion sub-network is appended to our method at the decision level to reflect the complementary characteristics contained in two modalities. To design a thermal infrared assisted RGB tracker, the outputs of the classification head from the TIR modality are taken into consideration before the residual connection from the RGB modality. Extensive experimental results on three challenging datasets, i.e. VOT-RGBT2019, GTOT and RGBT210, verify the effectiveness of our method. Code will be shared at \textcolor{blue}{\emph{https://github.com/Zhangyong-Tang/TAAT}}.
Coevolution of Brightest Cluster Galaxies and Their Host Clusters in IllustrisTNG

We use IllustrisTNG simulations to explore the dynamic scaling relation between massive clusters and their—central—brightest cluster galaxies (BCGs). The IllustrisTNG-300 simulation we use includes 280 massive clusters from the z = 0 snapshot with M 200 > 1014 M ⊙, enabling a robust statistical analysis. We derive the line-of-sight velocity dispersion of the stellar particles of the BCGs (σ *,BCG), analogous to the observed BCG stellar velocity dispersion. We also compute the subhalo velocity dispersion to measure the cluster velocity dispersion (σ cl). Both σ *,BCG and σ cl are proportional to the cluster halo mass, but the slopes differ slightly. Thus, like the observed relation, σ *,BCG/σ cl declines as a function of σ cl, but the scatter is large. We explore the redshift evolution of the σ *,BCG − σ cl scaling relation for z ≲ 1 in a way that can be compared directly with observations. The scaling relation has a similar slope at high redshift, but the scatter increases because of the large scatter in σ *,BCG. The simulations imply that high-redshift BCGs are dynamically more complex than their low-redshift counterparts.