Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementing a healthy lifestyle program in residential out‐of‐home care: What matters, what works and what translates?

Abstract The Healthy Eating, Active Living Matters (HEALing Matters) program is being scaled up across residential out‐of‐home care (OOHC) in Victoria, Australia and is providing young people with the knowledge, skills and resources to promote better health through healthy eating and activity. HEALing Matters was piloted as the HEAL program, a dual‐intervention program that aimed to provide young people living in residential care with education and opportunities to improve their eating and physical activity habits, while simultaneously building the capacity of their carers to promote, encourage and role model healthy lifestyle behaviours. Qualitative findings indicated that HEAL resulted in increased participation in community sport, increased availability of sports equipment, healthy meal preparation and healthy food availability and improvements in perceived young person self‐esteem and independent living skills. Findings also revealed some limitations of the program. Following the pilot, a participatory methodological approach was used to better understand how to align the HEAL program with individual and community needs. This approach engaged diverse stakeholders to better understand the barriers and enablers, address limitations, identify key intervention points and build trust and a shared vision to co‐design the HEALing Matters program. HEALing Matters is now delivered within a framework that is informed by attachment, trauma and resilience theories. This paper outlines the HEALing Matters journey from what matters, to what works, to what translates in relation to a healthy eating and active living intervention in OOHC.
The changing face of spiritual care: current developments in telechaplaincy.

Abstract In recent years, and particularly since the Covid-19 pandemic, telehealth has been rapidly introduced into U.S. healthcare institutions. While preliminary data and best practices are beginning to emerge, it remains unclear how chaplains are responding to this development in practice. Consequently, professional organizations have tended to lag behind the changing demands of increasingly digital professional environments. This article addresses this gap by presenting three case studies of U.S. healthcare settings where chaplains have become an integral component of telehealth infrastructure: the Mercy system, Ascension Health, and the Veteran's Health Administration of the U.S. Department of Veteran Affairs. Based on interviews with chaplains and directors of chaplaincy departments, it shows how the ‘telechaplains’ at these institutions have adapted to the introduction of telehealth across the continuum of care, and discusses the legal, economic, practical and theological challenges and hopes reported in each case.
Applications of nanoparticles in cardiovascular imaging and therapeutics

Cardiovascular disease (CVD) is a major health problem afflicting millions of people worldwide. Early detection methods are lacking, and current therapies have significant limitations. Recently, there has been a surge in the number of studies investigating the utilisation of nanoparticles in cardiovascular imaging and therapy. With respect to cardiovascular imaging, previous studies have looked at the role of nanoparticles in thrombus formation, angiogenesis, blood pool and stem cell imaging. Whereas, with respect to therapy, nanoparticles have been studied for delivering drugs and nucleic acids, specifically to the site of interest; in the context of cardiac regeneration; and its potential in refining current therapy guidelines for CVD management. This review aims to extensively summarise the studies that have been conducted investigating the role of nanoparticles in different aspects of cardiovascular imaging and therapy.
Sex and Gender Equity in Prehospital Electrocardiogram Acquisition

Acute coronary syndrome (ACS) makes up a substantial healthcare burden. Previous research has demonstrated that women fare worse than men across a range of hospital-based ACS processes and outcomes. In the prehospital setting, the 12-lead electrocardiogram (ECG) can identify critical ACS cases and speed access to definitive treatment. However, studies on rates of ECG acquisition among patients at risk of ACS in the prehospital setting have shown that women receive the test less frequently than men. The purpose of this study was to investigate the reasons for observed gender differences in rates of ECG acquisition in the prehospital setting. This is a cross-sectional study of paramedics in an urban emergency medical service agency. An experienced qualitative researcher conducted 26 semi-structured interviews. Using a subjectivist inductive approach, the study team analyzed interview transcripts following the six-step process described by Braun and Clarke (2006). Qualitative rigor was maintained through consistent review, discussion, and revision at each stage. Four themes were identified among diverse views around the 12-lead acquisition. (1) Safety (feelings of physical comfort and psychological safety related to administering a 12-lead). (2) Knowledge (subject-matter knowledge involving the protocols and procedures as well as self-knowledge of participants’ own practice). (3) Training and learning (perceptions of foundational training and on-the-job learning, and how those have influenced their perceptions of how to care for patients experiencing ACS). (4) Professionalism (perceptions of behavior and attitudes and how they influence patient care). These four interrelated themes were integrated to represent a model of prehospital cardiac care. This study addressed a gap in the literature by documenting prehospital providers’ attitudes and beliefs around cardiac care. The resulting model of prehospital cardiac care offers both a template for evaluating the equity of current treatment and a road map for improvement.
Hybrid power generation system of solar energy and fuel cells

This paper introduces the methods of integration of solar energy and low‐temperature solid oxide fuel cells. On the one hand, we design the system that integrates the solar photovoltaic cells and fuel cells. On the other hand, solar energy is concentrated to heat up the fuel cell and supply the working temperature at hundreds Celsius degrees by Fresnel lens. Then the fuel conversion efficiency is increased because of gain from the solar energy. Moreover, integration of solar thermal energy power system with the fuel is a good method for resolving the instability of solar energy. CHP (combined heat and power) is another aspect to enhance the design hybrid system overall efficiency. Finally, we present a novel device but built on different scientific principle. It can convert solar energy and chemical energy of fuel to electric energy simultaneously within the same device to integrated solar cell and fuel cell from the device level. Copyright © 2016 John Wiley & Sons, Ltd.
Character-based diagnostic keys, molecular identification and phylogenetic relationships of threadfin breams (family: Nemipteridae) based on mitochondrial genes from the Southern coromandel Coast, India

Abstract DNA barcoding, primarily focusing on cytochrome c oxidase subunit I (COI) gene has been appraised as an effective tool for species identification. In this study, we focused on the marine fishes of Family Nemipteridae, one of the commercially important group distributed within the Coromandel Coast. The Partial sequences of COI and 16S rRNA of mitochondrial genes were analyzed for species identification and phylogenetic relationship of Nemipterus species (Nemipterus japonicus, Nemipterus peronii, Nemipterus bipunctatus, Nemipterus bathybius). Character-based identification approaches that categorize specimens to species using classification rules that compactly identify species in terms of key diagnostic nucleotides in selected gene sequences. Using the BLOG 2.0 software, species-specific diagnostic nucleotides were identified for the selected group of species. A data set of 198 mtCOI sequences was obtained from published resources and used to screen character-based molecular diagnostic keys for species in silico. Partial sequences of both the genes provided sufficient phylogenetic information to distinguish the four Nemipterus species indicating the usefulness of mtDNA-based approach in species identification. This study proves the use of mtDNA genes sequence-based approach is a support tool along with traditional taxonomy for identifying fish species at a faster pace.
Are stress-related pathways of social status differentiation more important determinants of health inequities in countries with higher levels of income inequality?

We explored socioeconomic gradients in self-rated overall health (SROH) using indicators of materialist (educational attainment and perceived income adequacy) and psychosocial perspectives (subjective social status (SSS)) among adults living in countries with varying levels of income inequality, and the importance of psychosocial stress in mediating these associations. If psychosocial processes at the individual and societal levels correspond, associations between SSS and SROH should be higher among adults in countries with higher income inequality, and psychosocial stress should be a more important mediator of these associations. We used multigroup structural equation models to analyse cross-sectional data from the International Food Policy Study of adults (n = 22,824) in Australia, Canada, Mexico, the UK and the United States. Associations between SSS and SROH were not higher in more unequal countries, nor was psychosocial stress a more important mediator of these associations. Inequities in SROH in more unequal countries may not predominantly reflect stress-related pathways of social status differentiation.
m6A‐mediated regulation of PBX1‐GCH1 axis promotes gastric cancer proliferation and metastasis by elevating tetrahydrobiopterin levels

Methyltransferase 3 (METTL3)‐mediated N6‐methyladenosine (m6A) RNA modification has been demonstrated to be a potential factor in promoting gastric cancer (GC). METTL3 regulates a series of signaling pathways by modifying various mRNAs. This study aimed to identify novel METTL3‐mediated signaling pathways and explored possible targets for use in the clinical setting of gastric cancer.
Prediction of the performance of pre‐packed purification columns through machine learning

Abstract Pre‐packed columns have been increasingly used in process development and biomanufacturing thanks to their ease of use and consistency. Traditionally, packing quality is predicted through rate models, which require extensive calibration efforts through independent experiments to determine relevant mass transfer and kinetic rate constants. Here we propose machine learning as a complementary predictive tool for column performance. A machine learning algorithm, extreme gradient boosting, was applied to a large data set of packing quality (plate height and asymmetry) for pre‐packed columns as a function of quantitative parameters (column length, column diameter, and particle size) and qualitative attributes (backbone and functional mode). The machine learning model offered excellent predictive capabilities for the plate height and the asymmetry (90 and 93%, respectively), with packing quality strongly influenced by backbone (∼70% relative importance) and functional mode (∼15% relative importance), well above all other quantitative column parameters. The results highlight the ability of machine learning to provide reliable predictions of column performance from simple, generic parameters, including strategic qualitative parameters such as backbone and functionality, usually excluded from quantitative considerations. Our results will guide further efforts in column optimization, for example, by focusing on improvements of backbone and functional mode to obtain optimized packings.
Inter and Intraobserver Agreement of the IOOG SAMEO ATO Classification for Tympanomastoid Surgery

Introduction In 2018 the International Otology Outcome Group (IOOG) introduced the stage of surgery, approach, mastoidectomy, external ear canal reconstruction, obliteration of mastoid cavity, access to middle ear, tympanic membrane, ossicular chain (SAMEO ATO) categorization framework for tympanomastoid surgery to develop a classification system that encompasses all aspects of surgical technique that are likely to influence the outcome of tympanomastoid surgery. To date there is no study that examines inter or intraobserver reliability of this classification system. Objective To assess inter and intraobserver reliability of the SAMEO ATO classification. Study Design and Setting Retrospective single center study. Intervention Two observers independently categorized 167 tympanomastoid surgeries using the SAMEO-ATO system to allow for interobserver analysis. Categorization was performed retrospectively from operation notes. Intraobserver reliability was evaluated for one observer. Patients One hundred sixty seven tympanomastoid surgeries performed by a single surgeon between 2018 and 2021. Main Outcome Measure Inter and intraobserver reliability calculated using Cohen’s kappa. Results Almost perfect interobserver agreement was seen for stage of surgery (S), approach (A), mastoidectomy (M), and ossicular chain (O) with kappa scores ranging from of 0.957 to 0.848. Almost perfect intraobserver agreement was seen for approach (A), mastoidectomy (M), external ear reconstruction (E), obliteration of mastoid cavity (O), access to middle ear (A), and ossicular chain (O) with kappa ranging from 0.929 to 08.21. Conclusion The SAMEO ATO classification is a reliable system for recording surgical procedures. Given the complexity of the SAMEO ATO classification it is vital that those using it have a thorough knowledge of the classification.
Leading trait dimensions in flood-tolerant plants

Abstract Background and Aims While trait-based approaches have provided critical insights into general plant functioning, we lack a comprehensive quantitative view on plant strategies in flooded conditions. Plants adapted to flooded conditions have specific traits (e.g. root porosity, low root/shoot ratio and shoot elongation) to cope with the environmental stressors including anoxic sediments, and the subsequent presence of phytotoxic compounds. In flooded habitats, plants also respond to potential nutrient and light limitations, e.g. through the expression of leaf economics traits and size-related traits, respectively. However, we do not know whether and how these trait dimensions are connected. Methods Based on a trait dataset compiled on 131 plant species from 141 studies in flooded habitats, we quantitatively analysed how flooding-induced traits are positioned in relation to the other two dominant trait dimensions: leaf economics traits and size-related traits. We evaluated how these key trait components are expressed along wetness gradients, across habitat types and among plant life forms. Key Results We found that flooding-induced traits constitute a trait dimension independent from leaf economics traits and size-related traits, indicating that there is no generic trade-off associated with flooding adaptations. Moreover, individual flooding-induced traits themselves are to a large extent decoupled from each other. These results suggest that adaptation to stressful environments, such as flooding, can be stressor specific without generic adverse effects on plant functioning (e.g. causing trade-offs on leaf economics traits). Conclusions The trait expression across multiple dimensions promotes plant adaptations and coexistence across multifaceted flooded environments. The decoupled trait dimensions, as related to different environmental drivers, also explain why ecosystem functioning (including, for example, methane emissions) are species and habitat specific. Thus, our results provide a backbone for applying trait-based approaches in wetland ecology by considering flooding-induced traits as an independent trait dimension.
Cross-Variant Neutralizing Serum Activity after SARS-CoV-2 Breakthrough Infections

To determine neutralizing activity against the severe acute respiratory syndrome coronavirus 2 ancestral strain and 4 variants of concern, we tested serum from 30 persons with breakthrough infection after 2-dose vaccination. Cross-variant neutralizing activity was comparable to that after 3-dose vaccination. Shorter intervals between vaccination and breakthrough infection correlated with lower neutralizing titers.
Clinical Application of Three-Dimensional Printing of Polycaprolactone/Beta-Tricalcium Phosphate Implants for Cranial Reconstruction

Abstract: Polycaprolactone (PCL) implants are a biodegradable polymeric material with appropriate mechanical strength and durability for use in cranioplasty. They can be manufactured as patient- customized implants using a three-dimensional (3D) printer. Herein, the authors aimed to share our experience in cranioplasty of patients with deformed and asymmetric skulls using PCL/beta- tricalcium phosphate (ß-TCP) implants. Seven patients underwent cranioplasty using patient-specific PCL/ß-TCP implants. Cranial computed tomography images were converted to a 3D model and mirrored to design a patient-specific implant. Based on the 3D simulation, an implant was 3D printed using PCL/ß-TCP. A 6-month follow-up was conducted with periodic visits and computed tomography scans. Symmetry after surgery and complications were evaluated. Postoperatively, the soft tissue volumes increased to 15.8 ± 17.2 cm3 and 14.9 ± 15.7 cm3 at 2 weeks and 6 months of follow-up, respectively. The volume change from 2 weeks to 6 months was —4.4 ± 2.5%. Six patients achieved complete symmetry after cranioplasty, whereas 1 patient noticed partial symmetry. The symmetry remained unchanged at 6 months of follow-up. Upon palpation to assess smoothness, 6 patients exhibited a smooth edge interface, whereas 1 patient had a slightly irregular edge. Based on these findings, 3D-printed PCL/ß-TCP implants are an excellent material for cranioplasty, and a favorable cosmetic outcome can be achieved. Specifically, these novel PCL/ß-TCP implants have good biocompatibility and mechanical strength without any postoperative foreign body reaction.
Effect of an Energy Drink On Muscle and Liver Damage Enzymes, And Cardiovascular Indices in Soccer Players

ABSTRACT Despite emerging evidence about the influence of energy drinks on the quality of athletes’ performance, there is little information about their effects on exercise-induced damage markers after long-term activities. This study aimed to investigate the acute effects of hype energy drink (HED) to ameliorate liver and muscle damage enzymes and cardiovascular indices-induced by a soccer match. A total of 22 elite male soccer players (age 20.36 ± 1.91) were recruited. Participants performed two experimental conditions, separated by a 14-day washout period. They consumed 2 × 250 ml of HED or placebo for 5 d before the soccer match, on match day, and for 1-day post-match. Measurements of muscle (CK and LDH), and liver (ALT, AST, and ALP) damage indices, and blood pressure (BP) parameters were taken at baseline, pre-match, post-match, and 24 h post-match. The results showed that the levels of ALT, AST, ALP, CPK, and LDH enzymes significantly decreased in HED condition from pre-match to 24 h post-match, compared with placebo (p < 0.001). Also, consumption of energy drinks reduced systolic, diastolic, and mean BP. In conclusion, elevated serum levels of muscle and liver damage enzymes and higher values of BP indices are improved 24 hours after soccer match following HED ingestion, compared to placebo. Therefore, it seems that consuming HED can lead to faster recovery of muscle and liver damage and improve recovery in soccer players.
Reciprocal GAN Through Characteristic Functions (RCF-GAN)

The integral probability metric (IPM) equips generative adversarial nets (GANs) with the necessary theoretical support for comparing statistical moments in an embedded domain of the critic, while stabilising their training and mitigating the mode collapse issues. For enhanced intuition and physical insight, we introduce a generalisation of IPM-GANs which operates by directly comparing probability distributions rather than their moments. This is achieved through characteristic functions (CFs), a powerful tool that uniquely comprises all information about any general distribution. For rigour, we first theoretically prove the ability of the CF loss to compare probability distributions, and proceed to establish the physical meaning of the phase and amplitude of CFs. An optimal sampling strategy is then developed to calculate the CFs, and an equivalence between the embedded and data domains is proved under the reciprocal theory. This makes it possible to seamlessly combine IPM-GAN with an auto-encoder structure by an advanced anchor architecture, which adversarially learns a semantic low-dimensional manifold for both generation and reconstruction. This efficient reciprocal CF GAN (RCF-GAN) structure, uses only two modules and a simple training strategy to achieve the state-of-the-art bi-directional generation. Experiments demonstrate the superior performance of RCF-GAN on both regular (images) and irregular (graph) domains.
A neurovascular unit-on-a-chip: culture and differentiation of human neural stem cells in a three-dimensional microfluidic environment

Biological studies typically rely on a simple monolayer cell culture, which does not reflect the complex functional characteristics of human tissues and organs, or their real response to external stimuli. Microfluidic technology has advantages of high-throughput screening, accurate control of the fluid velocity, low cell consumption, long-term culture, and high integration. By combining the multipotential differentiation of neural stem cells with high throughput and the integrated characteristics of microfluidic technology, an in vitro model of a functionalized neurovascular unit was established using human neural stem cell-derived neurons, astrocytes, oligodendrocytes, and a functional microvascular barrier. The model comprises a multi-layer vertical neural module and vascular module, both of which were connected with a syringe pump. This provides controllable conditions for cell inoculation and nutrient supply, and simultaneously simulates the process of ischemic/hypoxic injury and the process of inflammatory factors in the circulatory system passing through the blood-brain barrier and then acting on the nerve tissue in the brain. The in vitro functionalized neurovascular unit model will be conducive to central nervous system disease research, drug screening, and new drug development.