Room Temperature Ethene to Propene (ETP) Tandem Catalysis using Single Crystalline Solid-State Molecular Pre-Catalysts.

A tandem catalytic ensemble of solid-state molecular organometallic (SMOM) crystalline pre-catalysts are deployed under batch or flow conditions for the ethene to propene process (ETP). These catalysts operate at ambient temperature and low pressure, via sequential ethene dimerization, butenes isomerization and cross-metathesis. Under flow conditions the on-stream ethene conversion (55%), initial propene selectivity (92%), stability (71% selectivity after 7 hrs) and low temperature/pressures are competitive with the best-in-class heterogenous systems, marking a new, in crystallo, approach to ETP.

Context-specific eQTLs provide deeper insight into causal genes underlying shared genetic architecture of critically ill COVID-19 and idiopathic pulmonary fibrosis.

Most genetic variants identified through genome-wide association studies (GWAS) are suspected to be regulatory in nature, but only a small fraction colocalize with expression quantitative trait loci (eQTLs, variants associated with expression of a gene). Therefore, it is hypothesized but largely untested that integration of disease GWAS with context-specific eQTLs will reveal the underlying genes driving disease associations. We used colocalization and transcriptomic analyses to identify shared genetic variants and likely causal genes associated with critically ill COVID-19 and idiopathic pulmonary fibrosis.

Development of Electronic Objective Structured Clinical Examinations (e-OSCEs) for Prosthodontic Clinical Assessment.

Introduction: Objective Structured Clinical Examinations (OSCEs) serve as a reliable assessment tool for clinical and competency evaluation. Traditional OSCEs, involving live patients, present logistical challenges and evoke student anxiety. In an effort to create a comprehensive clinical series of examinations, electronic OSCEs (e-OSCEs) were developed for assessing clinical competencies in prosthodontics at a large dental school.

Practical management of adverse events in patients receiving tarlatamab, a delta-like ligand 3-targeted bispecific T-cell engager immunotherapy, for previously treated small cell lung cancer.

Tarlatamab is a bispecific T-cell engager immunotherapy targeting delta-like ligand 3 (DLL3) and the cluster of differentiation 3 (CD3) molecule. In the phase 2 DeLLphi-301 trial of tarlatamab for patients with previously treated small cell lung cancer, tarlatamab 10 mg every 2 weeks achieved durable responses and encouraging survival outcomes. Analyses of updated safety data from the DeLLphi-301 trial demonstrated that the most common treatment-emergent adverse events were cytokine release syndrome (53%), pyrexia (38%), decreased appetite (36%), dysgeusia (32%), and an emia (30%).

Descriptive Epidemiology of Complete ACL Tears in the Skeletally Immature Population: A Prospective Multicenter PLUTO Study.

Background: Anterior cruciate ligament (ACL) injuries are common in pediatric and adolescent patients. Understanding this population's injury characteristics and treatment strategies is vital for managing this high-risk group.

Purpose: To report the descriptive epidemiology and treatment strategies of a large cohort of skeletally immature patients with complete ACL tears.

Knowledge translation initiatives at the Transitional Pain Service: insights from healthcare provider outreach and patient education.

Evidence-based treatment of chronic pain requires a multidisciplinary approach grounded in the biopsychosocial model. Implementing this approach within health systems relies on its acceptance by both healthcare providers and patients. While pioneering multidisciplinary pain clinics can serve as a model for implementation, a systematic effort is needed to share knowledge effectively and broadly.

Using capacity assessments and tailored technical assistance to advance trauma informed care integration at the organizational level.

Background: The prevalence of trauma among individuals with HIV has prompted efforts to integrate trauma-informed care (TIC) into HIV care and treatment to improve health outcomes. A TIC Implementation Model, developed by a US capacity-building organization focuses on organizational changes, aligning cultural and physical environments, emphasizing values like safety and trustworthiness, engaging leadership, and training staff in skills-based TIC services. Despite growing research, gaps remain in understanding the relationship between organizational capacity, provider knowledge, and the dosage of technical assistance (TA) required to sustain TIC integration.

Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.

Background: Drivers of COVID-19 severity are multifactorial and include multidimensional and potentially interacting factors encompassing viral determinants and host-related factors (i.e., demographics, pre-existing conditions and/or genetics), thus complicating the prediction of clinical outcomes for different severe acute respiratory syndrome coronavirus (SARS-CoV-2) variants.

The impact of dietary patterns on gut microbiota for the primary and secondary prevention of cardiovascular disease: a systematic review.

Background: Previous studies found that it is promising to achieve the protective effects of dietary patterns on cardiovascular health through the modulation of gut microbiota. However, conflicting findings have been reported on how dietary patterns impact gut microbiota in individuals either established or at risk of cardiovascular disease (CVD). Our systematic review aimed to explore the effect of dietary patterns on gut microbiota composition and on risk factors for CVD in these populations.

Monitoring Use of Language Interpreting Services for Patients with Limited English Proficiency: Methods to Match Patient Medical Records with Interpreter Billing Logs.

Background: Over 60 million patients in the USA have limited English proficiency (LEP) and experience barriers in care. Still, there exists no standardized method of monitoring the utilization of language interpreting services (LIS).

Objective: To introduce a methodological approach to systematically monitor utilization of LIS for LEP patients.

Cardiovascular disease, bone fracture, and all-cause mortality risks among postmenopausal women by arthritis and veteran status: A multistate Markov transition analysis.

Arthritis, a chronic inflammatory condition linked to cardiovascular disease (CVD) and bone fracture, is more frequent among military veterans and postmenopausal women. This study examined correlates of arthritis and relationships of arthritis with risks of developing CVD, bone fractures, and mortality among postmenopausal veteran and non-veteran women. We analyzed longitudinal data on 135,790 (3,436 veteran and 132,354 non-veteran) postmenopausal women from the Women's Health Initiative who were followed-up for an average of 16 years between enrollment (1993-1998) and February 17, 2024.

Raynaud Syndrome Associated with Medication for Attention-Deficit/Hyperactivity Disorder: A Systematic Review.

Background: Raynaud syndrome (RS) is a peripheral vasculopathy characterised be impaired acral perfusion typically manifesting as skin discolouration with pallor, cyanosis and/or erythema, and increased sensitivity to cold. RS may be primary or secondary to systemic disease, lifestyle and environmental factors or medication. RS has been reported with medication to treat ADHD, but we found no recent comprehensive overview of the literature.

End-to-End Deep Learning Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Patients Using Routine MRI.

This study aims to develop an end-to-end deep learning (DL) model to predict neoadjuvant chemotherapy (NACT) response in osteosarcoma (OS) patients using routine magnetic resonance imaging (MRI). We retrospectively analyzed data from 112 patients with histologically confirmed OS who underwent NACT prior to surgery. Multi-sequence MRI data (including T2-weighted and contrast-enhanced T1-weighted images) and physician annotations were utilized to construct an end-to-end DL model.

Robotic Versus Open Placement of Hepatic Artery Infusion Pumps.

Background: A growing number of centers offer hepatic artery infusion pump (HAIP) chemotherapy for advanced liver malignancies. While small series have demonstrated feasibility of robotic HAIP placement, comparison of outcomes with open placement is lacking. We compared outcomes after robotic versus open HAIP placement.

Coeliac disease: complications and comorbidities.

Coeliac disease is an autoimmune disease characterized by small intestinal villus atrophy and inflammation upon exposure to gluten. It has a global prevalence of approximately 1%. Although the gluten-free diet can be an effective treatment, this diet is burdensome with practical difficulties and frequent inadvertent gluten exposure.

Associations between common genetic variants and income provide insights about the socio-economic health gradient.

We conducted a genome-wide association study on income among individuals of European descent (N = 668,288) to investigate the relationship between socio-economic status and health disparities. We identified 162 genomic loci associated with a common genetic factor underlying various income measures, all with small effect sizes (the Income Factor). Our polygenic index captures 1-5% of income variance, with only one fourth due to direct genetic effects.

The architecture of the human default mode network explored through cytoarchitecture, wiring and signal flow.

The default mode network (DMN) is implicated in many aspects of complex thought and behavior. Here, we leverage postmortem histology and in vivo neuroimaging to characterize the anatomy of the DMN to better understand its role in information processing and cortical communication. Our results show that the DMN is cytoarchitecturally heterogenous, containing cytoarchitectural types that are variably specialized for unimodal, heteromodal and memory-related processing.

Urology on a changing planet: links between climate change and urological disease.

Urological diseases and their varied forms of management warrant special attention in the setting of climate change. Regarding urological cancers, climate change will probably increase the incidence and severity of cancer diagnoses through exposures to certain environmental risk factors, while simultaneously disrupting cancer care delivery and downstream outcomes. Regarding benign urological diseases, a burgeoning body of work exists on climate-related heat waves, dehydration, urolithiasis, renal injury and infectious and vector-borne diseases.

Leveraging synthetic data to improve regional sea level predictions.

The rapid increase in sea levels driven by climate change presents serious risks to coastal communities around the globe. Traditional prediction models frequently concentrate on developed regions with extensive tide gauge networks, leaving a significant gap in data and forecasts for developing countries where the tide gauges are sparse. This study presents a novel deep learning approach that combines TimesGAN with ConvLSTM to enhance regional sea level predictions using the more widely available satellite altimetry data.

In-pixel foreground and contrast enhancement circuits with customizable mapping.

This paper presents an in-pixel contrast enhancement circuit that performs image processing directly within the pixel circuit. The circuit leverages HyperFET, a hybrid device combining a MOSFET and a phase transition material (PTM), to enhance performance. It can be tuned for different modes of operation.

An optimal workflow scheduling in IoT-fog-cloud system for minimizing time and energy.

Today, with the increasing use of the Internet of Things (IoT) in the world, various workflows that need to be stored and processed on the computing platforms. But this issue, causes an increase in costs for computing resources providers, and as a result, system Energy Consumption (EC) is also reduced. Therefore, this paper examines the workflow scheduling problem of IoT devices in the fog-cloud environment, where reducing the EC of the computing system and reducing the MakeSpan Time (MST) of workflows as main objectives, under the constraints of priority, deadline and reliability.

Biological correlates associated with high-risk breast cancer patients identified using a computational method.

Using a novel unsupervised method to integrate multi-omic data, we previously identified a breast cancer group with a poor prognosis. In the current study, we characterize the biological features of this subgroup, defined as the high-risk group, using various data sources. Assessment of three published hypoxia signatures showed that the high-risk group exhibited higher hypoxia scores (p < 0.

Polygenic burden of short tandem repeat expansions promotes risk for Alzheimer's disease.

Studies of the genetics of Alzheimer's disease (AD) have largely focused on single nucleotide variants and short insertions/deletions. However, most of the disease heritability has yet to be uncovered, suggesting that there is substantial genetic risk conferred by other forms of genetic variation. There are over one million short tandem repeats (STRs) in the genome, and their link to AD risk has not been assessed.