Model compression for real-time object detection using rigorous gradation pruning.

Achieving lightweight real-time object detection necessitates balancing model compression with detection accuracy, a difficulty exacerbated by low redundancy and uneven contributions from convolutional layers. As an alternative to traditional methods, we propose Rigorous Gradation Pruning (RGP), which uses a desensitized first-order Taylor approximation to assess filter importance, enabling precise pruning of redundant kernels. This approach includes the iterative reassessment of layer significance to protect essential layers, ensuring effective detection performance.

Reduced durability of hybrid immunity to SARS-CoV-2 in immunocompromised children.

Background: In endemic COVID-19, immunocompromised children are vulnerable until vaccinated but the optimal primary vaccination regime and need for booster doses remains uncertain.

Methods: We recruited 19 immunocompromised children (post-solid organ transplantation, have autoimmune disease or were on current or recent chemotherapy for acute lymphoblastic leukemia), and followed them from the start of primary vaccination with BNT162b2 mRNA SARS-CoV-2 until 1-year post-vaccination. We investigated the quality of vaccine immunogenicity, and longevity of hybrid immunity, in comparison to healthy children.

Self-maintenance of zonal hepatocytes during adult homeostasis and their complex plasticity upon distinct liver injuries.

Hepatocytes are organized into distinct zonal subsets across the liver lobule, yet their contributions to liver homeostasis and regeneration remain controversial. Here, we developed multiple genetic lineage-tracing mouse models to systematically address this. We found that the liver lobule can be divided into two major zonal and molecular hepatocyte populations marked by Cyp2e1 or Gls2.

Global research trajectories in gut microbiota and functional constipation: a bibliometric and visualization study.

Background: Functional constipation (FC) negatively impacts quality of life and is associated with gut microbiota (GM) imbalances. Despite the growing interest in this area, a thorough analysis of research trends is missing. This study uses bibliometric methods to assess the global research on GM's role in FC, pinpointing key topics, impactful studies, and prominent researchers to guide future research and identify gaps.

Fusion Genes in Myeloid Malignancies.

Fusion genes arise from gross chromosomal rearrangements and have been closely linked to oncogenesis. In myeloid malignancies, fusion genes play an integral role in the establishment of diagnosis and prognostication. In the clinical management of patients with acute myeloid leukemia, fusion genes are deeply incorporated in risk stratification criteria to guide the choice of therapy.

A micro-costing study of mass-spectrometry based quantitative proteomics testing applied to the diagnostic pipeline of mitochondrial and other rare disorders.

Background: Mass spectrometry-based quantitative proteomics has a demonstrated utility in increasing the diagnostic yield of mitochondrial disorders (MDs) and other rare diseases. However, for this technology to be widely adopted in routine clinical practice, it is crucial to accurately estimate delivery costs. Resource use and unit costs required to undertake a proteomics test were measured and categorized into consumables, equipment, and labor.

MR1 presents vitamin B6-related compounds for recognition by MR1-reactive T cells.

The major histocompatibility complex class I related protein (MR1) presents microbially derived vitamin B2 precursors to mucosal-associated invariant T (MAIT) cells. MR1 can also present other metabolites to activate MR1-restricted T cells expressing more diverse T cell receptors (TCRs), some with anti-tumor reactivity. However, knowledge of the range of the antigen(s) that can activate diverse MR1-reactive T cells remains incomplete.

Navigating digital assessments in medical education: Findings from a scoping review.

Purpose: Digital assessments have rapidly permeated higher education, offering both advantages and challenges for learners and educators. However, prior research has made limited attempts to holistically summarize existing knowledge on the application of digital assessments in medical education through literature reviews. This paper presents a scoping review of previous studies on the application of digital assessments in medical education.

Advancing health coaching: A comparative study of large language model and health coaches.

Objective: Recent advances in large language models (LLM) offer opportunities to automate health coaching. With zero-shot learning ability, LLMs could revolutionize health coaching by providing better accessibility, scalability, and customization. The aim of this study is to compare the quality of responses to clients' sleep-related questions provided by health coaches and an LLM.

Changes in 10-Year Predicted Cardiovascular Disease Risk for a Multiethnic Semirural Population in South East Asia: Prospective Study.

Background: Cardiovascular disease (CVD) risk factors tend to cluster and interact multiplicatively and have been incorporated into risk equations such as the Framingham risk score, which can reasonably predict CVD over short- and long-term periods. Beyond risk factor levels at a single time point, recent evidence demonstrated that risk trajectories are differentially related to CVD risk. However, factors associated with suboptimal control or unstable CVD risk trajectories are not yet established.

When do patients with retinitis pigmentosa present to ophthalmologists? A multi-centre retrospective study.

Background: Planned gene therapies for retinitis pigmentosa (RP) depend on viable photoreceptors for efficacy. Understanding disease severity at presentation, and drivers that influence time to presentation is important when planning interventions. We examined features that influence RP severity at initial presentation.

Evaluation of three alternative methods to the plaque reduction neutralizing assay for measuring neutralizing antibodies to dengue virus serotype 2.

Background: Dengue is a global public health challenge which requires accurate diagnostic methods for surveillance and control. The gold standard for detecting dengue neutralizing antibodies (nAbs) is the plaque reduction neutralization test (PRNT), which is both labor-intensive and time-consuming. This study aims to evaluate three alternative approaches, namely, the MTT-based (or (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) microneutralization assay, the xCELLigence real-time cell analysis (RTCA), and the immuno-plaque assay-focus reduction neutralization test (iPA-FRNT).

Whole genome sequencing analysis of Mycobacterium tuberculosis reveals circulating strain types and drug-resistance mutations in the Philippines.

The Philippines is a high-incidence country for tuberculosis, with the increasing prevalence of multi- (MDR-TB) and extensively-drug (XDR-TB) resistant Mycobacterium tuberculosis strains posing difficulties to disease control. Understanding the genetic diversity of circulating strains can provide insights into underlying drug resistance mutations and transmission dynamics, thereby assisting the design of diagnostic tools, including those using next generation sequencing (NGS) platforms. By analysing genome sequencing data of 732 isolates from Philippines drug-resistance survey collections spanning from 2011 to 2019, we found that the majority belonged to lineages L1 (531/732; 72.

Foot care behaviours and associated factors among patients with type 2 diabetes: A cross-sectional study.

Background: As numerous studies highlighted the importance of maintaining proper foot care (FC) behaviours among individuals with diabetes to prevent complications, we sought to assess FC behaviours among patients with diabetes and to identify the factors associated with the practice of diabetic FC.

Methods: We used a cross-sectional design and collected data through self-reported questionnaires administered to a sample of 586 patients from five medical centres. We conducted descriptive and inferential analyses to explore the relationships between potential risk and protective factors and FC behaviours.

Mindful breathing for cancer pain: efficacy of a single 20-minute session - a randomised controlled study.

Objectives: Cancer pain is a prevalent and challenging symptom affecting a significant number of patients globally, with inadequate control remaining a substantial challenge despite advancements in pain management. Non-pharmacological interventions, including mindfulness-based approaches, have shown promise in alleviating cancer-related pain. This study aimed to explore the efficacy of a single session of 20-minute mindful breathing in reducing pain among patients with cancer.

Novel CDKL5 targets identified in human iPSC-derived neurons.

CDKL5 Deficiency Disorder (CDD) is a debilitating epileptic encephalopathy disorder affecting young children with no effective treatments. CDD is caused by pathogenic variants in Cyclin-Dependent Kinase-Like 5 (CDKL5), a protein kinase that regulates key phosphorylation events in neurons. For therapeutic intervention, it is essential to understand molecular pathways and phosphorylation targets of CDKL5.

Carers and professionals' views on using virtual reality in dementia care: A qualitative study.

Background And Objectives: Virtual reality (VR) interventions provide immersive, interactive computer-simulated virtual environments. There is interest in their use for people with dementia as they may provide stimulating experiences and improve dementia symptoms and quality of life. However, as more insight is needed about carers' and clinical professionals' perspectives to understand how VR may be implemented successfully, we elicited their views on the benefits of, and challenges to, using VR in dementia care.

Multiplexed immunohistochemical analysis of the immune microenvironment of biliary tract cancers pre- & post-neoadjuvant chemotherapy: case series.

Background: Neoadjuvant chemotherapy (NACT) is increasingly being used in the management of locally advanced biliary tract cancer (BTC). The evidence suggests a contributing role of tumor infiltrating immune cells in the prognosis and response. We set out to characterize immune modulation of tumor immune microenvironment in BTC following NACT.

Testing a Mediation Model of Dispositional Optimism, Mindful Self-Care, and Subjective Well-Being.

Research consistently demonstrates a positive association between dispositional optimism (DO) and subjective well-being (SWB). This study takes a step forward by exploring potential mechanisms underlying this relationship, with a specific focus on the mediating role of mindful self-care (MSC). We conducted a cross-sectional online survey involving 312 Singaporean adults.

Patient-ventilator asynchrony classification in mechanically ventilated patients: Model-based or machine learning method?

Background And Objective: Patient-ventilator asynchrony (PVA) is associated with poor clinical outcomes and remains under-monitored. Automated PVA detection would enable complete monitoring standard observational methods do not allow. While model-based and machine learning PVA approaches exist, they have variable performance and can miss specific PVA events.