Bermanmcleod5837

A MICU order set prioritizing nonpharmacologic management and limiting the duration of pharmacologic agents for delirium may aid providers in the management of ICU delirium and reduce exposure to pharmacologic interventions.

A MICU order set prioritizing nonpharmacologic management and limiting the duration of pharmacologic agents for delirium may aid providers in the management of ICU delirium and reduce exposure to pharmacologic interventions.

Petioles are important plant organs connecting stems with leaf blades and affecting light-harvesting ability of the leaf as well as transport of water, nutrients and biochemical signals. Despite the high diversity in petiole size, shape and anatomy, little information is available regarding their structural adaptations across evolutionary lineages and environmental conditions. To fill this knowledge gap, we investigated the variation of petiole morphology and anatomy of mainly European woody species to better understand the drivers of internal and external constraints in an evolutionary context.

We studied how petiole anatomical features differed according to whole-plant size, leaf traits, thermal and hydrological conditions, and taxonomic origin in 95 shrubs and trees using phylogenetic distance-based generalized least squares models.

Two major axes of variation were related to leaf area and plant size. Larger and softer leaves are found in taller trees of more productive habitats. Their petioles are lical requirements have converged to similar petiole anatomical structures.

We conclude that species' temperature and precipitation optima, plant height, and leaf area and thickness exerted a significant control on petiole anatomical and morphological structures not confounded by phylogenetic inertia. Species with different evolutionary histories but similar thermal and hydrological requirements have converged to similar petiole anatomical structures.Rapid development of single-cell RNA sequencing (scRNA-seq) technology has allowed researchers to explore biological phenomena at the cellular scale. Clustering is a crucial and helpful step for researchers to study the heterogeneity of cell. Although many clustering methods have been proposed, massive dropout events and the curse of dimensionality in scRNA-seq data make it still difficult to analysis because they reduce the accuracy of clustering methods, leading to misidentification of cell types. In this work, we propose the scHFC, which is a hybrid fuzzy clustering method optimized by natural computation based on Fuzzy C Mean (FCM) and Gath-Geva (GG) algorithms. Specifically, principal component analysis algorithm is utilized to reduce the dimensions of scRNA-seq data after it is preprocessed. Then, FCM algorithm optimized by simulated annealing algorithm and genetic algorithm is applied to cluster the data to output a membership matrix, which represents the initial clustering result and is taken as the input for GG algorithm to get the final clustering results. We also develop a cluster number estimation method called multi-index comprehensive estimation, which can estimate the cluster numbers well by combining four clustering effectiveness indexes. The performance of the scHFC method is evaluated on 17 scRNA-seq datasets, and compared with six state-of-the-art methods. Experimental results validate the better performance of our scHFC method in terms of clustering accuracy and stability of algorithm. In short, scHFC is an effective method to cluster cells for scRNA-seq data, and it presents great potential for downstream analysis of scRNA-seq data. The source code is available at https//github.com/WJ319/scHFC.

Whether obstructive sleep apnea (OSA) actually represents an independent risk factor for aortic dilation in the general population is unclear. negative control We investigated this issue through a review and a meta-analysis of cardiac imaging studies that provided data on this vascular phenotype measured at the root or ascending tract level.

A computerized search was performed using Pub-Med, OVID, EMBASE, and Cochrane library databases from inception up to 30 November 2021. Studies were identified by using the following search terms "aortic root," "ascending aorta," "vascular damage," "echocardiography," "computed tomography," "magnetic resonance imaging," "obstructive sleep apnea," "sleep disordered breathing."

Eleven studies including a total of 1,860 patients with OSA (without aortic aneurysms and connective tissue diseases) and 233 non-OSA controls were considered. Aortic diameter was significantly higher in patients with OSA than in non-OSA controls (standard means difference [SMD] = 0.73 ± 0.08, confidence intervat on this relevant public health topic.The American Journal of Epidemiology has been a platform for findings from the Black Women's Health Study relevant to health disparities. Topics addressed have included methods of follow-up of a large cohort of Black women, disparities in health care delivery, modifiable risk factors for health conditions that disproportionately affect Black women, associations with exposures that are highly prevalent in Black women, and methods for genetics research. Black Women's Health Study papers have also highlighted the importance of considering social context, including perceived experiences of racism, in understanding health disparities. In the future, Black Women's Health Study investigators will contribute to documentation of the role that structural racism plays in health disparities.

Oral oncolytics come with significant concerns of noncompliance due to complex regimens, adverse effects, and high overall costs. The Geisinger Oral Chemotherapy Clinic is a fully telephone-based medication therapy disease management (MTDM) program designed to integrate pharmacists as advanced practitioners in hematology/oncology clinics for comanagement of oral chemotherapy.

To date, Geisinger has 11 oncology clinics and 3 full-time pharmacists designated to the management of oral chemotherapy. Pharmacists receive referrals for comanagement of patients starting oral oncolytics. Under a collaborative practice agreement, they can order laboratory tests as well as supportive care medications and refills. Pharmacists review planned therapies, perform medication reconciliations, and provide medication counseling. Once treatment has been initiated, pharmacists contact patients for laboratory and toxicity assessments. The clinic incorporates the use of customized smart data elements within the electronic medicaand respective therapies, and proper utilization of technology, the program has thrived, allowing for increased provider and patient satisfaction. Future goals include expanding collection of pharmacist intervention metrics and analysis of patient perceptions of services provided by the clinic.

Past research suggests that people report a greater desire to consume alcohol when they experience social threat-or threats to their social selves, such as social exclusion. Nevertheless, experimental research on the role of social threat in alcohol consumption is limited. The present study examined the causal relationship between social threat and wine consumption.

Undergraduate students (N = 83; Mage = 21.8years old, SDage = 1.62years old; 72.3% women; 61.4% Latinx/Hispanic) participated in a study under the pretense that they were in a focus group gauging students' opinions of a bar being constructed at their university. During the study, participants and two confederate researchers completed a group activity in which they selected design elements for the bar. Participants were randomly assigned to one of two conditions. In the social threat condition, confederates rejected participants' design choices and socially excluded them during a follow-up task. In the social acceptance condition, confederates supported participants' choices and did not socially exclude them. All participants then completed a wine taste test.

Contrary to predictions, an independent-samples t-test revealed that participants who experienced social threat consumed significantly less wine than those who were socially accepted, t(81) = -2.22, P = 0.03, d = -0.49. Furthermore, a linear regression test revealed that this effect persisted even when controlling for typical alcohol-consumption behavior, b =56.09, t = -2.50, P = 0.02, d = -0.61.

The relationship between social threat and alcohol consumption may be more nuanced than anticipated. Discussion centers around two potential moderators including positive affect and identity.

The relationship between social threat and alcohol consumption may be more nuanced than anticipated. Discussion centers around two potential moderators including positive affect and identity.

Drought limits maize production in many regions of the world, and this is likely to intensify in future. Elevated atmospheric CO2 (eCO2) can mitigate this by reducing stomatal conductance and water loss without reducing yield. The magnitude of this effect depends on the interaction of eCO2 and drought severity, but scarce data collected under severe drought conditions limit predictions of future maize production.

We compared the severe drought × eCO2 responses of six maize genotypes from semi-arid and sub-humid growing regions.

Genotypic differences were apparent in growth, gas exchange, water relations, grain quality, and biomass at maturity, but the response to eCO2 was consistent. Plants under drought and eCO2 had similar biomass and yield to irrigated plants at ambient CO2. Reduced stomatal conductance and water loss preserved soil moisture equivalent to 35 mm of rainfall and allowed sustained photosynthesis at higher rates for a longer period after watering stopped. Under irrigation, eCO2 improved maize growth but not grain yield.

The results suggest that eCO2 may extend the future land area available to rainfed maize cultivation, but cannot circumvent the absence of seasonal rainfall that restricts maize growth. Elevated CO2 will reduce water requirements of irrigated maize when atmospheric conditions drive high evapotranspiration.

The results suggest that eCO2 may extend the future land area available to rainfed maize cultivation, but cannot circumvent the absence of seasonal rainfall that restricts maize growth. Elevated CO2 will reduce water requirements of irrigated maize when atmospheric conditions drive high evapotranspiration.The gene ontology (GO) provides a hierarchical structure with a controlled vocabulary composed of terms describing functions and localization of gene products. Recent works propose vector representations, also known as embeddings, of GO terms that capture meaningful information about them. Significant performance improvements have been observed when these representations are used on diverse downstream tasks, such as the measurement of semantic similarity between GO terms and functional similarity between proteins. Despite the success shown by these approaches, existing embeddings of GO terms still fail to capture crucial structural features of the GO. Here, we present anc2vec, a novel protocol based on neural networks for constructing vector representations of GO terms by preserving three important ontological features its ontological uniqueness, ancestors hierarchy and sub-ontology membership. The advantages of using anc2vec are demonstrated by systematic experiments on diverse tasks visualization, sub-ontology prediction, inference of structurally related terms, retrieval of terms from aggregated embeddings, and prediction of protein-protein interactions.