Supercooled Liquids in a Core-Shell Coordination Structure for Practical Long-Term Energy Storage.

Mutual acquisition of phase-stability and controllable phase-transition becomes a predominant criterion of phase-change materials for the practical long-term energy storage but seems contradictory always. Here a strategy combining coordination and hydrogen bonds hierarchically to create a supercooled liquid in a core-shell coordination structure is reported, addressing that demand successfully. This new material is composed of a Mn-methylurea complex (MM) core and the hierarchically bonded erythritols shell.

Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review.

Multiple sclerosis (MS) is an autoimmune disease of the brain and spinal cord with both inflammatory and neurodegenerative features. Although advances in imaging techniques, particularly magnetic resonance imaging (MRI), have improved the process of diagnosis, its cause is unknown, a cure remains elusive and the evidence base to guide treatment is lacking. Computational techniques like machine learning (ML) have started to be used to understand MS.

Patients' views and experiences of the first community pharmacy-based medication therapy management clinic in the Middle East and North Africa (MENA): A qualitative study.

Objective: This qualitative study aimed to describe patients' experiences of a community pharmacy (CP)-based medication therapy management program (MTM).

Methods: Qualitative, semistructured, face-to-face interviews were conducted with a purposive sample of patients with uncontrolled diabetes who received care at a CP-based MTM clinic. Interviews were conducted in the MTM clinic of Health Kingdom CP in Riyadh City, Kingdom of Saudi Arabia by a research pharmacist using an interview guide.

Integration of vanHAX downstream of a ribosomal RNA operon restores vancomycin resistance in a susceptible Enterococcus faecium strain.

During the genomic characterisation of Enterococcus faecium strains (n = 39) collected in a haematology ward, we identified an isolate (OI25), which contained vanA-type vancomycin resistance genes but was phenotypically susceptible to vancomycin. OI25 could revert to resistance when cultured in the presence of vancomycin and was thus considered to be vancomycin-variable. Long-read sequencing was used to identify structural variations within the vancomycin resistance region of OI25 and to uncover its resistance reversion mechanism.

Non-antibiotic pharmaceuticals are toxic against Escherichia coli with no evolution of cross-resistance to antibiotics.

Antimicrobial resistance can arise in the natural environment via prolonged exposure to the effluent released by manufacturing facilities. In addition to antibiotics, pharmaceutical plants also produce non-antibiotic pharmaceuticals, both the active ingredients and other components of the formulations. The effect of these on the surrounding microbial communities is less clear.

Narrative review of recent developments and the future of penicillin allergy de-labelling by non-allergists.

This article outlines recent developments in non-allergist delivered penicillin allergy de-labelling (PADL), discusses remaining controversies and uncertainties and explores the future for non-allergist delivered PADL. Recent developments include national guidelines for non-allergist delivered PADL and validation of penicillin allergy risk assessment tools. Controversies remain on which penicillin allergy features are low risk of genuine allergy.

Is ChatGPT ready for public use in organ-specific drug toxicity research?

The growing impact of large language models (LLMs), such as ChatGPT, prompts questions about the reliability of their application in public health. We compared drug toxicity assessments by GPT-4 for liver, heart, and kidney against expert assessments using US Food and Drug Administration (FDA) drug-labeling documents. Two approaches were assessed: a 'General prompt', mimicking the conversational style used by the general public, and an 'Expert prompt' engineered to represent an approach of an expert.

Was Aristotle right about moral decision-making? Building a new empirical model of practical wisdom.

This article presents the development and validation of the Short Phronesis Measure (SPM), a novel tool to assess Aristotelian phronesis (practical wisdom). Across three studies, using large, nationally representative samples from the UK and US (demographically matched to census data), we employed a systematic and rigorous methodology to examine the structure, reliability, and validity of the SPM. In Study 1a, exploratory factor analysis identified ten distinct, internally reliable components of phronesis, challenging the traditional four-component Aristotelian model.

The effects of ultra-selective beta1-antagonism on the metabolic and cytokine profile in septic shock patients receiving noradrenaline: a sub-investigation from the STRESS-L Randomised Study.

Purpose: The landiolol and organ failure in patients with septic shock (STRESS-L study) included a pre-planned sub-study to assess the effect of landiolol treatment on inflammatory and metabolomic markers.

Methods: Samples collected from 91 patients randomised to STRESS-L were profiled for immune and metabolomic markers. A panel of pro- and anti-inflammatory cytokines were measured through commercially acquired multiplex Luminex assays and statistically analysed by individual and cluster-level analysis (patient).

Electroresponsive Thiol-Yne Click-Hydrogels for Insulin Smart Delivery: Tackling Sustained Release and Leakage Control.

Diabetes is a metabolic disorder caused by the body's inability to produce or use insulin. Considering the figures projected by the World Health Organization, research on insulin therapy is crucial. Hence, we present a soft biointerface based on a thiol-yne poly(ethylene glycol) (PEG) click-hydrogel as an advanced treatment option to administrate insulin.

Machine learning-based identification of proteomic markers in colorectal cancer using UK Biobank data.

Colorectal cancer is one of the leading causes of cancer-related mortality in the world. Incidence and mortality are predicted to rise globally during the next several decades. When detected early, colorectal cancer is treatable with surgery and medications.

Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool.

Predicting the outcome of a kidney transplant involving a living donor advances donor decision-making donors for clinicians and patients. However, the discriminative or calibration capacity of the currently employed models are limited. We set out to apply artificial intelligence (AI) algorithms to create a highly predictive risk stratification indicator, applicable to the UK's transplant selection process.

Distinct neural computations scale the violation of expected reward and emotion in social transgressions.

Traditional decision-making models conceptualize humans as adaptive learners utilizing the differences between expected and actual rewards (prediction errors, PEs) to maximize outcomes, but rarely consider the influence of violations of emotional expectations (emotional PEs) and how it differs from reward PEs. Here, we conducted a fMRI experiment (n = 43) using a modified Ultimatum Game to examine how reward and emotional PEs affect punishment decisions in terms of rejecting unfair offers. Our results revealed that reward relative to emotional PEs exerted a stronger prediction to punishment decisions.

Leveraging computational modeling to explore epithelial and endothelial cell monolayer mechanobiology.

Endothelial cells (ENCs) and epithelial cells (EPCs) form monolayers whose barrier function is critical for the maintenance of physiological processes and extremely sensitive to mechanical cues. Computational models have emerged as powerful tools to elucidate how mechanical cues impact the behavior of these monolayers in health and disease. Herein, the importance of mechanics in regulating ENC and EPC monolayer behavior is established, highlighting similarities and differences in various biological contexts.

The window of opportunity: Estimating the role of climate finance on urban-rural electricity inequality.

Access to electricity is vital for enhancing human welfare; however, it is not equally distributed between rural and urban demographics. This paper, for the first time, examine the impact of climate finance on electricity accessibility, and the inequality of electricity accessibility between urban and rural areas. Based on the dataset covering 125 countries during 2002-2020, and by using the instrumental Variables-Generalized Method of Moments model, we mainly arrive at the following conclusions.

'Care as capital': Developing theory about school investment in mental health and wellbeing.

Recent years have seen an emphasis on delivering mental health and wellbeing support in school settings. However, the process by which schools meet this resource allocation challenge is largely undocumented. Our study used theory-building process tracing to develop a mechanistic understanding of the process of mental health investment in schools.

The emergence of DNAM-1 as the facilitator of NK cell-mediated killing in ovarian cancer.

Introduction: Ovarian cancer (OC) is the sixth most common malignancy in women and the poor 5-year survival emphasises the need for novel therapies. NK cells play an important role in the control of malignant disease but the nature of tumour-infiltrating and peripheral NK cells in OC remains unclear.

Methods: Using flow cytometric analysis, we studied the phenotype and function of NK cells in blood, primary tumour and metastatic tissue in 80 women with OC.

Urinary incontinence (UI) in older women in low- and middle-income countries: a rapid review and case study from Burkina Faso.

The prevalence of urinary incontinence (UI) in older women in low- and middle-income countries (LMICs) is not well understood. We conducted a rapid literature review to assess the burden of UI in this population and contextualize findings from a household survey of women aged 40 and older in Nouna, in northwestern Burkina Faso. The rapid review included 21 survey articles.

Acute management of massive pulmonary embolism in pregnancy.

Key Content: •Massive pulmonary embolism (PE) during pregnancy or the postpartum period is a rare but potentially lethal event.•Physiological changes in the coagulation system during pregnancy and puerperium would lead to a hypercoagulable state.•Diagnosis of PE in pregnancy remains a challenge due to physiological changes in pregnancy.

Exploring the experiences of children's palliative care for forced migrant families in the United Kingdom: an interpretative phenomenological study.

Introduction: This study focused on understanding the experiences of forced migrant families and the health care professionals who care for them within palliative care. Palliative care for children requires an active, holistic approach to care, with a focus upon improving quality of life. Forced migrant families encounter a range of additional challenges including the loss of family, belongings, and all sources of familiarity and support.

Shatavari supplementation during eight weeks of resistance training increases training load, enhances skeletal muscle contractility and alters the skeletal muscle proteome in older women.

Introduction: Shatavari is a herbal dietary supplement that may increase skeletal muscle strength in younger and older adults. Shatavari contains compounds with both estradiol-like and antioxidant properties, which could enhance muscle function. Postmenopausal women may derive the greatest benefit, as estrogen deficiency adversely impacts skeletal muscle function.

Factors affecting cancer care delivery in primary care: a qualitative study.

Background: One role of primary care is to support people living with and beyond cancer, the number of whom is increasing worldwide. This study aimed to identify factors affecting cancer care provision within English primary care after the start of the coronavirus pandemic, during high healthcare service demand, and a depleted workforce.

Methods: An exploratory qualitative descriptive approach was used to collect data via remote semi-structured interviews with primary care staff after gaining informed consent.