Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Lifestyle Intervention Using the Modified Beliefs, Attitude, Subjective Norms, Enabling Factors Model in Hypertension Management: Quasi-Experimental Study

Background Hypertension is a serious health issue and a significant risk factor for cardiovascular disease and stroke. Although various health education models have been used to improve lifestyle in patients with hypertension, the findings have been inconsistent. Objective This study aims to assess the effects of a lifestyle intervention program using a modified Beliefs, Attitude, Subjective Norms, Enabling Factors (BASNEF) model among nonadherent participants with hypertension in managing elevated blood pressure (BP) levels. Methods This study reports a quantitative quasi-experimental research work, particularly using a repeated-measures design of the within-subjects approach on the 50 nonadherent patients who received a diagnosis of essential hypertension in Cebu, Philippines. The research participants received 5 sessions of training based on a modified BASNEF model. An adherence instrument was used as an evaluation platform. The first phase gathers participants' relevant profiles and background, and the final phase gathers participants' systolic BP, diastolic BP, heart rate, and adherence scores. Results The results indicate that the phase 1 mean systolic readings (146.50, SD 19.59) differ significantly from the phase 4 mean systolic readings (134.92, SD 15.24). They also suggest that the lifestyle intervention based on session III or phase IV behavioral intention in the BASNEF model microgroup sessions positively affects BP readings among the research participants. Conclusions This study has established that the BASNEF model approach can be a good BP management technique.
Erwin Knecht—the intelligent and mad, funny and grumpy man of autophagy

ABSTRACT Getting to know Erwin Knecht is not so simple. This view was summarized in a comment from Dr. Marta Martinez Vicente, who obtained her PhD degree working in a lab that shared space with Erwin’s group: “Erwin Knecht is a complex character, who awakens contradictory feelings. To define him I would say that he is a mixture of intelligence and madness, he’s witty, very funny but also grumpy and cranky, all mixed and all simultaneously. Without a doubt he is a person who will not leave anyone indifferent, his original personality marked all who crossed his path, doctoral students, collaborators, people who attended his talks, etc … I remember the weekly lab meetings with him; we, the students, had a lot of respect for him (not to mention fear), but his comments were always smart, helpful and constructive, he has always been prone to helping everyone. In the lab, he was extremely demanding, but got people under his supervision to do their best. And despite his usual moodiness, he managed to make everyone love him and have a special affection for him. Above all, I remember his screams throughout the laboratory that could be heard from all over the building, calling out to his laboratory technician: ‘Asunción! ’ They were like an old couple, arguing all day but they couldn’t be without each other, it was like watching a sitcom every day. ” If you are intrigued, please read on.
P300/CBP‐associated factor (PCAF)‐mediated acetylation of Fascin at lysine 471 inhibits its actin‐bundling activity and tumor metastasis in esophageal cancer

Fascin is crucial for cancer cell filopodium formation and tumor metastasis, and is functionally regulated by post‐translational modifications. However, whether and how Fascin is regulated by acetylation remains unclear. This study explored the regulation of Fascin acetylation and its corresponding roles in filopodium formation and tumor metastasis.
Ankylosing Spondylitis Patients Display Aberrant ERAP1 Gene DNA Methylation and Expression

ABSTRACT Background Endoplasmic reticulum aminopeptidase 1 (ERAP1) is known to participate in the pathogenesis of ankylosing spondylitis (AS). This study aimed to evaluate the relationship between promoter methylation and mRNA levels of ERAP1 and AS susceptibility. Methods DNA methylation levels of 100 AS patients and 100 healthy controls (HCs) were tested using a targeted bisulfite sequencing assay. To verify the results of DNA methylation, mRNA levels of ERAP1 were measured in 20 AS patients and HCs used quantitative real-time reverse transcription-polymerase chain reaction. Results The DNA methylation levels of two CpG islands containing 31 loci in ERAP1 promoter were measured. ERAP1_1 (P< .001) and ERAP1_2 (P< .001) islands were significantly hypermethylated in AS patients compared with HCs. In the verification study, the mRNA levels of ERAP1 were significantly decreased in AS patients. The ROC curve analysis showed that the sensitivity, specificity and area under curve were 0.717, 0.737, and 0.779 of differential methylated CpG loci of ERAP1 for AS diagnosis. In AS patients, the methylation levels of EARP1 were associated with family history, non-steroidal anti-inflammatory drugs use, X-ray classification, and clinical manifestations. Conclusions Our study demonstrated that the ERAP1 gene is significantly hypermethylated, and mRNA levels of EARP1 decreased, in AS patients. Our findings suggested that the aberrant methylation of ERAP1 promoter may be involved in the pathogenesis of AS and could be considered as a diagnostic tool and therapeutic target of AS. Abbreviations AS: Ankylosing Spondylitis; AUC: Area Under Curve; BASDAI: Bath Ankylosing Spondylitis Disease Activity Index; BASFI: Bath Ankylosing Spondylitis Functional Index; CI: Confidence Interval; CpG: Cytosine-guanine Dinucleotide; CRP: C-reactive Protein; ERAP1: Endoplasmic Reticulum Aminopeptidase 1; ESR: Erythrocyte Sedimentation Rate; EWAS: Epigenome-Wide Association Study; HLA: Human Leukocyte Antigen; OR: Odds Ratio; PCR: Polymerase Chain Reaction; ROC: Receiver Operating Characteristic; NSAIDs: Non-Steroidal Anti-Inflammatory Drugs.
A protocol for developing, disseminating, and implementing a core outcome set for adenomyosis research

Background Adenomyosis is a common benign gynaecological condition that has been associated with heavy and/or painful periods, subfertility and poor obstetric outcomes including miscarriage and preterm delivery. Studies evaluating treatments for adenomyosis have reported a wide range of outcomes and outcome measures. This variation in outcomes and outcome measures prevents effective data synthesis, thereby hampering the ability of meta-analyses to draw useful conclusions and inform clinical practice. Objectives Our aim is to develop a minimum set of outcomes to be reported in all future studies that investigate any uterus-sparing intervention for treating uterine adenomyosis. Wide adoption of ‘core outcomes’ into research on adenomyosis would reduce the heterogeneity of studies and make data synthesis easier. This will ultimately lead to comparable, prioritised, and patient-centred conclusions from meta-analyses and guidelines. Material and Methods Outcomes identified from a systematic review of the literature will form a long list, agreed by an international steering group representing key stakeholders, including healthcare professionals, researchers, and public research partners. Through a modified Delphi process, key stakeholders will score outcomes from the agreed long list on a nine-point Likert scale that ranges from 1 (not important) to 9 (critical). Following the Delphi process, the refined outcome set will be finalised by the steering group. Finally, the steering group will develop recommendations for high-quality measures for each outcome. The study was prospectively registered with Core Outcome Measures in Effectiveness Trials Initiative; number 1649. Conclusion The implementation of the core outcome set for adenomyosis in future trials will enhance the availability of comparable data to facilitate more patient-centred evidence-based care. What is new? The core outcome set will facilitate the generation of clinically important and patient centred outcomes for studies evaluating treatments for adenomyosis.
Simulation of COVID-19 outbreaks via Graphical User Interface (GUI)

Background: This research aimed to model the outbreak of COVID-19 in Malaysia and develop a GUI-based model. Design and methods: The model is an improvement of the susceptible, infected, recovery, and death (SIRD) compartmental model. The epidemiological parameters of the infection, recovery, and death rates were formulated as time dependent piecewise functions by incorporating the control measures of lockdown, social distancing, quarantine, lockdown lifting time and the percentage of people who abide by the rules. An improved SIRD model was solved via the 4th order Runge-Kutta (RK4) method and 14 unknown parameters were estimated by using Nelder- Mead algorithm and pattern-search technique. The publicly available data for COVID-19 outbreak in Malaysia was used to validate the performance of the model. The GUI-based SIRD model was developed to simulate the number of active cases of COVID-19 over time by considering movement control order (MCO) lifted date and the percentage of people who abide the rules. Results: The simulator showed that the improved SIRD model adequately fitted Malaysia COVID-19 data indicated by low values of root mean square error (RMSE) as compared to other existing models. The higher the percentage of people following the SOP, the lower the spread of disease. Another key point is that the later the lifting time after the lockdown, the lower the spread of disease. Conclusions: These findings highlight the importance of the society to obey the intervention measures in preventing the spread of the COVID-19 disease. Significance for public health This research is in line with critical areas in Malaysia that are in close association with the community in dealing with the COVID-19 pandemic. This study contributes to the understanding of COVID-19 contagion in Malaysia. This model guides the policymakers to plan the 'exit strategy' of the COVID-19 outbreak as it can forecast the spreading dynamics of the disease in the population accompanied by the intervention measures of quarantine, isolation, lockdown lifting time and the percentage of the people who follow the SOP. The key ingredients to win the battle against the pandemic are embracing the new normal and community responsibility empowerment. This research showed that the individual act of following SOP can prevent the spread of the disease.
A Thrombectomy Model Based on Ex Vivo Whole Human Brains

This model enables concurrent transmural and angiographic analysis of artery-clot-device interaction in a human brain and provides critical insights into the action mechanism and failure modes of current and upcoming thrombectomy devices. BACKGROUND AND PURPOSE: The persistent challenges in thrombectomy for large-vessel occlusion, such as suboptimal complete recanalization and first-pass effect imply an insufficient understanding of the artery-clot-device interaction. In this study, we present a thrombectomy model using fresh human brains, which can capture the artery-clot-device interaction through concurrent transmural and angiographic visualizations. MATERIALS AND METHODS: Fresh nonfrozen whole adult human brains were collected and connected to a customized pump system tuned to deliver saline flow at a physiologic flow rate and pressure. Angiography was performed to verify the flow in the anterior-posterior and vertebrobasilar circulations and collaterals. Large-vessel occlusion was simulated by embolizing a radiopaque clot analog. Thrombectomy was tested, and the artery-clot-device interactions were recorded by transmural and angiographic videos. RESULTS: Baseline cerebral angiography revealed excellent penetration of contrast in the anterior-posterior and vertebrobasilar circulations without notable arterial cutoffs and with robust collaterals. Small branches (<0.5 mm) and perforating arteries were consistently opacified with good patency. Three device passes were performed to achieve recanalization, with failure modes including elongation, fragmentation, and distal embolization. CONCLUSIONS: This model enables concurrent transmural and angiographic analysis of artery-clot-device interaction in a human brain and provides critical insights into the action mechanism and failure modes of current and upcoming thrombectomy devices.
Nonlinear, neuronal adaptation in insect vision models improves target discrimination within repetitively moving backgrounds

Neurons which respond selectively to small moving targets, even against a cluttered background, have been identified in several insect species. To investigate what underlies these robust and highly selective responses, researchers have probed the neuronal circuitry in target-detecting, visual pathways. Observations in flies reveal nonlinear adaptation over time, composed of a fast onset and gradual decay. This adaptive processing is seen in both of the independent, parallel pathways encoding either luminance increments (ON channel) or decrements (OFF channel). The functional significance of this adaptive phenomenon has not been determined from physiological studies, though the asymmetrical time course suggests a role in suppressing responses to repetitive stimuli. We tested this possibility by comparing an implementation of fast adaptation against alternatives, using a model of insect ‘elementary small target motion detectors’. We conducted target-detecting simulations on various natural backgrounds, that were shifted via several movement profiles (and target velocities). Using performance metrics, we confirmed that the fast adaptation observed in neuronal systems enhances target detection against a repetitively moving background. Such background movement would be encountered via natural ego-motion as the insect travels through the world. These findings show that this form of nonlinear, fast-adaptation (suitably implementable via cellular biophysics) plays a role analogous to background subtraction techniques in conventional computer vision.
Privacy Management and Health Information Sharing via Contact Tracing during the COVID-19 Pandemic: A Hypothetical Study on AI-Based Technologies

ABSTRACT In this study, we extended and tested the privacy calculus framework in the context of a hypothetical AI-based contact-tracing technology for application during the COVID-19 pandemic that is based on the communication privacy management and contextual integrity theories. Specifically, we investigated how the perceived privacy risks and benefits of information disclosure affect the public’s willingness to opt in and adopt contact-tracing technologies and how social and contextual factors influence their decision-making process. Four hundred eighteen adults in the United States participated in the study via Amazon Mechanical Turk in August 2020. A percentile bootstrap method with 5,000 resamples and bias-corrected 95% confidence intervals in structural equation modeling was used for data analysis. The participants’ privacy concerns and perceived benefits significantly influenced their opt-in and adoption intentions, which suggests that the privacy calculus framework applies to the context of COVID-19 contact-tracing technologies. Perceived social, personal, and reciprocal benefits were identified as crucial mediators that link contextual variables to both opt-in and adoption intentions. Although this study was based on a hypothetical AI-based contact-tracing app, our findings provide meaningful theoretical and practical implications for future research investigating the public’s technology adoption in contexts where tradeoffs between privacy risks and public health coexist.
Reconstructing past thermal conditions in beach microclimates

Reconstruction of past conditions provides important information on how ecosystems have been impacted by climate change, but generally for microhabitats worldwide there are no long‐term empirical measurements. In these cases, there has been protracted debate about how various large‐scale environmental proxies can best be used to reconstruct local temperatures. Here we help resolve this debate by examining how well environmental proxies hindcast sand temperatures at nest depths for five sea turtle nesting sites across the world. We link instrumental air temperature and sea surface temperature records with empirical sand temperature observations in the Atlantic (Ascension Island and Cape Verde), the Indian Ocean (Chagos Archipelago), the Caribbean (St Eustatius) and the Pacific (French Polynesia). We found strong correlations between sea surface temperatures, air temperatures and sand temperatures at all our study sites. Furthermore, Granger causality testing shows variations in sea surface temperature and air temperature precede variations in sand temperatures. We found that different proxies (air or sea temperature or a combination of both) predicted mean monthly sand temperatures within <0.5°C of empirical observations. Reconstructions of sand temperatures over the last 170 years reveal a slight warming of temperatures (maximum 0.5°C per century). An analysis of 36 published datasets revealed that the gradient of the relationship between sand temperature and air temperature is relatively constant, suggesting long‐term changes in sand temperature could be extended around the world to include nesting sites where there are no empirical measurements of sand temperature. Our approaches are likely to have utility for a range of microhabitats where there is an interest in long‐term changes in temperature.
MRP8/14 serum levels as diagnostic markers for systemic juvenile idiopathic arthritis in children with prolonged fever.

OBJECTIVES Differential diagnosis in children with prolonged fever is challenging. In particular, differentiating systemic-onset juvenile idiopathic arthritis (SJIA) from infectious diseases is difficult. Biomarkers are needed supporting the diagnostic work-up. The aim of this study was to validate the usefulness of MRP8/14 measurements in the diagnostic wok-up of febrile children and transfer it to clinical practice. METHODS Data of 1,110 paediatric patients were included and divided into two cohorts: (A) For validation of MRP8/14 test performance with 3 different testing systems: the experimental enzyme-linked immunosorbent sandwich assay (ELISA), commercial ELISA and an innovative (POCT) lateral flow immunoassay (LFIA); (B) to validate the diagnostic accuracy with the two latter assays. RESULTS In cohort A (n = 940), MRP8/14 was elevated in SJIA (12110±2650 ng/ml mean ± 95% CI) compared to other diagnoses (including infections and autoinflammatory diseases; 2980±510 ng/ml) irrespective of fever and anti-inflammatory treatment (p < 0.001). In untreated patients with fever (n = 195) MRP8/14 levels in SJIA (19740±5080 ng/ml) were even higher compared to other diagnoses (4590±1160 ng/ml) (p < 0.001, sensitivity 73%, specificity 90%). In cohort B1, the performance of the tests was confirmed in untreated patients with fever (n = 170): commercial ELISA (sensitivity 79%, specificity 89%) and LFIA (sensitivity 84%, specificity 81%). Compared with ferritin, IL-18, ESR, sIL2-R, and procalcitonin, MRP8/14 showed the best accuracy. CONCLUSION MRP8/14 serum analyses have been validated as a helpful tool supporting the diagnosis of SJIA in febrile children. The results could be confirmed with commercial ELISA and LFIA enabling a rapid diagnostic point-of-care screening test.
Associations between Mental Health, Alcohol Consumption and Drinking Motives during COVID-19 Second Lockdown in Ireland

Abstract Aims The novel coronavirus pandemic (COVID-19) has impacted the lives of people worldwide since March 2020. Social restrictions aimed at flattening the curve may be associated with an increase in mental health problems and have raised concerns regarding their effect on alcohol consumption. The objective of this study was to characterize changes in alcohol use during lockdown in Ireland and associations with drinking motives and psychopathological symptoms. Methods We collected data from 713 adults (aged 18–60) during the second lockdown period (October/December 2020). By means of an online survey, participants self-reported their alcohol use before COVID and during lockdown. Motives to drink and psychopathological symptoms were also recorded. Results Our findings showed that 66% decreased their alcohol consumption, while 15% increased their alcohol consumption. An older age and coping motives were the strongest predictors of increased alcohol use during lockdown. Depression and hostility were the specific psychopathological dimensions associated with drinking to cope. Conclusions Older adults who drink to cope—mainly with depression symptomatology—are an important at-risk population, in line with predictions from alcohol self-medication frameworks. Future research is needed to incorporate strategies into the public mental health ecosystem.
Dim light in the evening causes coordinated realignment of circadian rhythms, sleep, and short-term memory

Significance In modern societies, people are regularly exposed to artificial light (e.g., light-emitting electronic devices). Dim light in the evening (DLE) imposes an artificial extension of the solar day, increasing our alertness before bedtime, delaying melatonin timing and sleep onset, and increasing sleepiness in the next morning. Using laboratory mice as a model organism, we show that 2 wk of 4-h, 20-lux DLE postpones rest–activity rhythms, delays molecular rhythms in the brain and body, and reverses the diurnal pattern of short-term memory performance. These results highlight the biological impact of DLE and emphasize the need to optimize our evening light exposure if we are to avoid shifting our biological clocks. Light provides the primary signal for entraining circadian rhythms to the day/night cycle. In addition to rods and cones, the retina contains a small population of photosensitive retinal ganglion cells (pRGCs) expressing the photopigment melanopsin (OPN4). Concerns have been raised that exposure to dim artificial lighting in the evening (DLE) may perturb circadian rhythms and sleep patterns, and OPN4 is presumed to mediate these effects. Here, we examine the effects of 4-h, 20-lux DLE on circadian physiology and behavior in mice and the role of OPN4 in these responses. We show that 2 wk of DLE induces a phase delay of ∼2 to 3 h in mice, comparable to that reported in humans. DLE-induced phase shifts are unaffected in Opn4−/− mice, indicating that rods and cones are capable of driving these responses in the absence of melanopsin. DLE delays molecular clock rhythms in the heart, liver, adrenal gland, and dorsal hippocampus. It also reverses short-term recognition memory performance, which is associated with changes in preceding sleep history. In addition, DLE modifies patterns of hypothalamic and cortical cFos signals, a molecular correlate of recent neuronal activity. Together, our data show that DLE causes coordinated realignment of circadian rhythms, sleep patterns, and short-term memory process in mice. These effects are particularly relevant as DLE conditions―due to artificial light exposure―are experienced by the majority of the populace on a daily basis.