Design of an Ultrafast and Controlled Visible Light-Mediated Photoiniferter RAFT Polymerization for Polymerization-Induced Self-Assembly (PISA).

In this contribution, we designed a new xanthate RAFT agent by introducing (5,6,7,8-tetrahydro-2-naphthalenyl)oxy (TNO) as the Z group, namely 2-[(((5,6,7,8-Tetrahydro-2-naphthalenyl)oxycarbonothioyl)thio)ethyl propanoate] (TNXEP). Due to the presence of the TNO group, TNXEP enabled highly controlled and ultrafast photoiniferter RAFT polymerization under violet (λ = 405 nm) and blue (λ = 450 nm) light. This approach was effectively extended to aqueous media for polymerization-induced self-assembly (PISA), facilitating the synthesis of polymeric nanoparticles.

Current developments in T-cell receptor therapy for Acute Myeloid Leukaemia.

T-cell receptor (TCR) therapies are a promising modality for the treatment of cancers, with significant efforts being directed towards acute myeloid leukaemia (AML), a particularly challenging disease. Chimeric antigen receptor (CAR) T-cells targeting single surface antigens have shown remarkable efficacy for B-cell lymphoblastic leukaemia, lymphomas and multiple myeloma. However, AML presents formidable obstacles to the effectiveness of CAR T-cells due to the widespread expression of heterogenous leukaemia immunophenotypes and surface antigen targets additionally present on normal myeloid cells.

National and subnational plans for primary prevention and early detection of oral and oropharyngeal cancer: a scoping review.

This scoping review maps primary prevention and early detection strategies for oral and oropharyngeal cancer across national cancer plans and noncommunicable disease plans from all World Health Organization Member States. Following PRISMA-ScR guidelines, bibliographic search was performed on key organization websites until March 2023. Of the 194 countries assessed three had subnational plans, resulting in 264 self-governing political entities and similar with revised plans.

Discovery of Laacher See eruption in speleothem record synchronizes Greenland and central European Late Glacial climate change.

To assess the impact of ongoing, historically unprecedented Arctic ice melting, precisely synchronized chronologies are indispensable for past analogs of abrupt climate change. Around 12,900 years before present (B.P.

Gene therapy ameliorates bowel dysmotility and enteric neuron degeneration and extends survival in lysosomal storage disorder mouse models.

Children with neurodegenerative disease often have debilitating gastrointestinal symptoms. We hypothesized that this may be due at least in part to underappreciated degeneration of neurons in the enteric nervous system (ENS), the master regulator of bowel function. To test this hypothesis, we evaluated mouse models of neuronal ceroid lipofuscinosis type 1 and 2 (CLN1 and CLN2 disease, respectively), neurodegenerative lysosomal storage disorders caused by deficiencies in palmitoyl protein thioesterase-1 and tripeptidyl peptidase-1, respectively.

3D genomic features across >50 diverse cell types reveal insights into the genomic architecture of childhood obesity.

The prevalence of childhood obesity is increasing worldwide, along with the associated common comorbidities of type 2 diabetes and cardiovascular disease in later life. Motivated by evidence for a strong genetic component, our prior genome-wide association study (GWAS) efforts for childhood obesity revealed 19 independent signals for the trait; however, the mechanism of action of these loci remains to be elucidated. To molecularly characterize these childhood obesity loci, we sought to determine the underlying causal variants and the corresponding effector genes within diverse cellular contexts.

Assembly-enhanced recognition: A biomimetic pathway to achieve ultrahigh affinities.

On the one hand, nature utilizes hierarchical assemblies to create complex biological binding pockets, enabling ultrastrong recognition toward substrates in aqueous solutions. On the other hand, chemists have been fervently pursuing high-affinity recognition by constructing covalently well-preorganized stereoelectronic cavities. The potential of noncovalent assembly, however, for enhancing molecular recognition has long been underestimated.

How can modeling responsibly inform decision-making in malaria?

When models are used to inform decision-making, both their strengths and limitations must be considered. Using malaria as an example, we explain how and why models are limited and offer guidance for ensuring a model is well-suited for its intended purpose.

Do higher educated people feel happier?-Evidence of Han and minority nationalities from China.

Based on the data of China General Social Survey (CGSS), this study adopts empirical analysis method to explore the impact of education on residents' subjective well-being and its differentiated mechanism in different ethnic groups. The results show that, first of all, education significantly improves residents' subjective well-being, and the conclusion is still robust after controlling for endogenous problems. Secondly, compared with Han nationality, education has a more significant effect on the subjective well-being of ethnic minority residents.

Pilot of a multicomponent program for people with dementia and their care partners: Health services staff expectations, experiences and observations.

There is increased recognition of the need to improve post-diagnostic pathways for people with dementia and their care partners living in the community to access rehabilitation services to support independence and wellbeing. However, there is minimal evidence on implementing rehabilitation services for this population. The study aimed to present the expectations and experiences of allied health staff involved in piloting the Sustainable Personalised Interventions for Cognition, Care and Engagement (SPICE) program based at an outpatient clinic of a public rehabilitation hospital.

Addressing Regional Agro-ecological Boundaries: An Integrated Environmental Footprint Framework for Revealing Sustainability Gaps in Agroecosystems.

Overexploiting ecosystems to meet growing food demands threatens global agricultural sustainability and food security. Addressing these challenges requires solutions tailored to regional agro-ecological boundaries (AEBs) and overall agro-ecological risks. Here, we propose a globally consistent and regionally adapted approach for quantifying regional AEBs.

Strategies to Optimise the Engagement of Culturally and Linguistically Diverse Populations in Cardiac Research: A Systematic Review.

Aims: Culturally and linguistically diverse (CALD) populations remain underrepresented in cardiovascular disease (CVD) research despite their higher disease burden compared to non-CALD populations. The purpose of this review is to synthesize the available literature on strategies to engage CALD participants in CVD research.

Methods And Results: Four electronic databases (MEDLINE, EMBASE, CINAHL and PsycINFO) were searched for literature up until May 2024.

Safety and Efficacy of Tranexamic Acid in General Surgery.

Importance: Perioperative bleeding is common in general surgery. The POISE-3 (Perioperative Ischemic Evaluation-3) trial demonstrated efficacy of prophylactic tranexamic acid (TXA) compared with placebo in preventing major bleeding without increasing vascular outcomes in noncardiac surgery.

Objective: To determine the safety and efficacy of prophylactic TXA, specifically in general surgery.

Low-Intensity Online Intervention for Mental Distress Among Help-Seeking Young People in Hong Kong: A Randomized Clinical Trial.

Importance: Mental health issues among young people are increasingly concerning. Conventional psychological interventions face challenges, including limited staffing, time commitment, and low completion rates.

Objective: To evaluate the effect of a low-intensity online intervention on young people in Hong Kong experiencing moderate or greater mental distress.

Novel pain assessment tool specific for pulp symptoms to aid diagnosis.

Aim: Although many pain assessment tools exist, none are specific to the relatively unique presentation of pulpal pain. The aim of this study was to develop and validate a novel pain assessment tool based on pulp symptoms.

Methodology: A preliminary list of items best-describing pulpitis was developed based on deductive and inductive approaches and the preliminary tool was piloted (n = 80).

Using Inhibitory Learning Theories to Optimise Treatment for Children with Anxiety Disorders.

Anxiety disorders in children lead to substantial impairment in functioning and development. Even the most effective gold standard treatments for childhood anxiety have 50% remission rates, suggesting a critical need to improve current treatments. Optimising exposure, the key component of anxiety treatments, represents a promising way to do so.

Elucidating stearoyl metabolism and NCOA4-mediated ferroptosis in gastric cancer liver metastasis through multi-omics single-cell integrative mendelian analysis: advancing personalized immunotherapy strategies.

Background: The metabolism of stearoyl-GPE plays a key role in the liver metastasis of gastric cancer. This investigation delves into the mechanisms underlying the intricate tumor microenvironment (TME) heterogeneity triggered by stearoyl metabolism in gastric cancer with liver metastasis (LMGC), offering novel perspectives for LMGC.

Objective: Utilizing Mendelian randomization, we determined that stearoyl metabolism significantly contributes to the progression of gastric cancer (GC).

Comparison of Random Forest and Stepwise Regression for Variable Selection Using Low Prevalence Predictors: A case Study in Paediatric Sepsis.

Introduction: Variable selection is a common technique to identify the most predictive variables from a pool of candidate predictors. Low prevalence predictors (LPPs) are frequently found in clinical data, yet few studies have explored their impact on model performance during variable selection. This study compared the Random Forest (RF) algorithm and stepwise regression (SWR) for variable selection using data from a paediatric sepsis screening tool, where 18 out of 32 predictors had a prevalence < 10%.

Longitudinal visual outcomes in idiopathic intracranial hypertension: the role of early prognostic indicators and risk stratification in disease management.

Background: Idiopathic intracranial hypertension (IIH) is increasingly prevalent, yet longitudinal outcome data are scarce. This study aimed to characterise demographic and longitudinal clinical changes in a cohort of patients with IIH.

Methods: Retrospective cohort analysis on adult patients diagnosed with IIH (Friedman criteria) enrolled in the neuro-ophthalmology database (NODE) across two tertiary centres.

Biomarkers in Ataxia-Telangiectasia: a Systematic Review.

Ataxia-Telangiectasia (A-T) is a very rare multisystem disease of DNA repair, associated with progressive disabling neurological symptoms, respiratory failure, immunodeficiency and cancer predisposition, leading to premature death. There are no curative treatments available for A-T but clinical trials have begun. A major limiting factor in effectively evaluating therapies for A-T is the lack of suitable outcome measures and biomarkers.

Impulse control disorders in Parkinson's disease: What's new?

Impulse Control Disorders (ICDs) are increasingly recognized as a significant non-motor complication in Parkinson's disease (PD), impacting patients and their caregivers. ICDs in PD are primarily associated with dopaminergic treatments, particularly dopamine agonists, though not all patients develop these disorders, indicating a role for genetic and other clinical factors. Studies over the past few years suggest that the mesocorticolimbic reward system, a core neural substrate for impulsivity, is a key contributor to ICDs in PD.

Twenty Years of Neuroinformatics: A Bibliometric Analysis.

This study presents a thorough bibliometric analysis of Neuroinformatics over the past 20 years, offering insights into the journal's evolution at the intersection of neuroscience and computational science. Using advanced tools such as VOS viewer and methodologies like co-citation analysis, bibliographic coupling, and keyword co-occurrence, we examine trends in publication, citation patterns, and the journal's influence. Our analysis reveals enduring research themes like neuroimaging, data sharing, machine learning, and functional connectivity, which form the core of Neuroinformatics.