A silver-ion-coupled black phosphorus (BP) vesicle (BP Ve-Ag+ ) with a second near infrared (NIR-II) window photoacoustic (PA) imaging capability was firstly constructed to maximize the potential of BP quantum dot (QD) in deeper bioimaging and diversified therapy. The embedded Ag+ could improve the relatively large band gap of BP QD via intense charge coupling based on theoretical simulation results, subsequently leading to the enhanced optical absorption capability, accompanied with the occurrence of the strong NIR-II PA signal. Guiding by NIR-II PA bioimaging, the hidden Ag+ could be precisely released with the disassembly of Ve during photodynamic therapy process and captured by macrophages located in lesion region for arousing synergistic cancer photodynamic/Ag+ immunotherapy. BP Ve-Ag+ can contrapuntally kill pathogenic bacteria and accelerate wound healing monitored by NIR-II PA imaging.A robust platform is developed to assemble sub-10 nm organic aggregation-induced emission (AIE) particles using four different AIE luminogens (AIEgens) with emissions from green to the second near-infrared window (NIR-II). They are called AIE quantum dots (QDs) to distinguish from typical AIE dots which are larger than 25 nm. compound 78c cell line Compared with AIE dots that are larger than 25 nm, AIE QDs allow more efficient cellular uptake and imaging without surface modification of any membrane-penetrating peptides or other targeting molecules. NIR-II AIEgens, which have nearly no background fluorescence from organisms, are used to demonstrate that AIE QDs can achieve high contrast at the tumor as small as 80 mm3 and evade the liver more efficiently than AIE dots. AIE QDs hold a good promise for sensitive and precise diagnosis of the latent solid tumor in clinical medicine with much lower off-targeting to the liver than AIE dots.

There is some evidence that health and social care professional (HSCP) teams contribute to enhanced patient and process outcomes in increasingly crowded emergency departments (EDs), but the views of service users and providers on this model of care need investigation to optimize implementation.

This qualitative study investigated the perspectives of key ED stakeholders about HSCP teams working in the ED.

Using a participatory design, we conducted World Café focus groups and individual interviews in two Irish hospital sites with 65 participants (purposive sampling) including ED patients and carers/relatives, ED doctors and nurses, HSCPs and pre-hospital staff. Data were thematically analysed using NVivo software.

Participants reported that ED-based HSCP teams could improve quality and integration of care and staff experience (Theme 1) and would be appropriate for older adults with complex needs and non-urgent complaints (Theme 2). Concerns were raised about operational and relational barriers to implem in priorities between service users and providers (relational vs operational) highlighted the usefulness of gathering views from multiple stakeholders to understand ED processes.

This study examined Sheehan Disability Scale (SDS) performance in binge eating disorder (BED) and explored relationships between SDS and BED outcomes using data from three placebo-controlled lisdexamfetamine (LDX) studies (two short-term, dose-optimized studies and one double-blind, randomized-withdrawal study) in adults with Diagnostic and Statistical Manual of Mental Disorders, fourth edition, text revision (DSM-IV-TR)-defined BED.

Analyses evaluated the psychometric properties of the SDS.

Confirmatory factor analysis supported a unidimensional total score in the short-term studies, with internal consistency (Cronbach’s α) being 0.878. Total score exhibited good construct validity, with moderate and statistically significant correlations observed with Yale-Brown Obsessive Compulsive Scale modified for binge eating, Binge Eating Scale (BES), and EuroQol Group 5-Dimension 5-Level health status index scores. Known-groups validity analysis for the short-term studies demonstrated a significantly lower total score at end of study in participants considered “not ill” versus “ill” based on Clinical Global Impressions-Severity scores. SDS total score changes in the short-term studies were greater in responders than nonresponders based on binge eating abstinence or BES score. In the randomized-withdrawal study, SDS scores increased relative to baseline to a greater extent in participants randomized to placebo than LDX.

These analyses support the reliability, validity, and responsiveness to change of the SDS in individuals with BED.

These analyses support the reliability, validity, and responsiveness to change of the SDS in individuals with BED.International Union for Conservation of Nature (IUCN) Red List assessments are essential for prioritizing conservation needs but are resource intensive and therefore available only for a fraction of global species richness. Automated conservation assessments based on digitally available geographic occurrence records can be a rapid alternative, but it is unclear how reliable these assessments are. We conducted automated conservation assessments for 13,910 species (47.3% of the known species in the family) of the diverse and globally distributed orchid family (Orchidaceae), for which most species (13,049) were previously unassessed by IUCN. We used a novel method based on a deep neural network (IUC-NN). We identified 4,342 orchid species (31.2% of the evaluated species) as possibly threatened with extinction (equivalent to IUCN categories critically endangered [CR], endangered [EN], or vulnerable [VU]) and Madagascar, East Africa, Southeast Asia, and several oceanic islands as priority areas for orchid conservation. Orchidaceae provided a model with which to test the sensitivity of automated assessment methods to problems with data availability, data quality, and geographic sampling bias. The IUC-NN identified possibly threatened species with an accuracy of 84.3%, with significantly lower geographic evaluation bias relative to the IUCN Red List and was robust even when data availability was low and there were geographic errors in the input data. Overall, our results demonstrate that automated assessments have an important role to play in identifying species at the greatest risk of extinction.