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Arbutus andrachne L. is a medicinal plant that grows in Jordan and has many valuable effects. In the present study, the anti-nociceptive effect of A. andrachne methanolic leaf extract was determined in mice using thermal and chemical tests. Our findings show that different doses of A. andrachne extract reduced the number of writhings significantly compared to control group. The leaf extract also reduced the time of paw licking in the early and late phases of formalin test. In all the conducted tests, 300 mg/kg body wt. was the best effective dose. A peroxisome proliferator-activated receptor alpha (PPARα) antagonist reversed the action of the plant extract in the early phase of formalin test while antagonists of the PPARα, PPAR gamma (PPARγ) and cannabinoid 1 (CB1) receptors were responsible for abolishing its effect in the late phase of this test. Also, the extract administration increased the latency time in hot plate and tail flick, an effect that was reversed by the antagonists of PPARγ, CB1 and transient receptor potential vanilloid 1 (TRPV1). No effect was noticed for α2-adrenergic receptor antagonist in the action of A. andrachne in any of the conducted tests in this study. Furthermore, analysis of the constituents in the methanolic leaf extract using liquid chromatography mass spectrometry (LCMS) showed that the extract is rich in compounds that have anti-nociceptive and/or anti-inflammatory effects such as arbutin, rutin, linalool, linoleic acid, gallic acid, lauric acid, myristic acid, hydroquinone, β-sitosterol, ursolic acid, isoquercetin, quercetin, (+)-gallocatechin, kaempferol, α-tocopherol, myricetin 3-O-rhamnoside and catechin gallate. In conclusion, A. andrachne showed promising anti-nociceptive effects in thermal and chemical models of pain. These findings can open an avenue for natural pain relief.The applied discipline of agroecological design provides a useful case study for examining broader philosophical questions about the existence and importance of ecological generalizations or "laws." Recent developments in the availability and use of formal meta-analyses have led to the discovery of many resilient generalizations in ecology (Linquist et al. 2016). However, these "laws" face numerous challenges when it comes to their practical application. Concerns about their reliability and scope might stem from unclear logical and epistemic connections to more foundational or "unifying" generalizations (Lean in Philos Top 47(1), 2019) which, in ecology, tend to be derived from first principles and in association with highly abstract models. This raises questions about the nature of those foundational generalizations themselves. In particular, how resilient are they compared to the generalizations uncovered by empirically driven methods? Here we propose a procedure for evaluating the resilience of generalizations across five ecologically relevant dimensions. This procedure was applied to seven well known foundational generalizations in ecology. Surprisingly, it turned out to be impossible to estimate the resilience of these foundational generalizations based on the available literature. This points to the need for a more centralized repository of information about ecological generalizations, created with the explicit aim of evaluating such important dimensions as causal mechanism and predictive power.As a specialty, radiology has spent much of the last two decades implementing information systems that improve departmental efficiency and the ordering provider's access to information. While our patients have realized benefits such as improved access to care and reduced turnaround times, there has been little focus on using these information systems to improve patient engagement. In the last decade, society has shifted. Now, consumers in every industry expect to be able to use technology to help them accomplish different tasks from scheduling to communicating. Medicine, in general, has been slow to respond to the concept of the patient as a consumer. mTOR kinase assay In this manuscript we describe some of the informatics efforts we have employed in our department to improve patient engagement. We present these initiatives, corresponding to each aspect of the radiology value stream, from the patient's point of view.Pediatric radiology departments rely heavily on a dedicated, efficient and collaborative multi-disciplinary health care team to provide efficient service and quality care to patients and families. Certified child life specialists are an essential part of this multi-disciplinary team. The main goal of the child life specialists is to improve the overall experience for patients and families. In addition, child life specialists, working in collaboration with the medical care team, help decrease the need for general anesthesia by providing patient pain management, distraction and coping techniques. These interventions result in improved patient safety, increased departmental efficiency and increased revenue. The role of child life specialists extends into the exam room, where their interventions help decrease procedure times and improve imaging quality. In this article, the authors discuss the key role of child life specialists in a pediatric radiology department and provide examples of how child life can impact patient safety, patient and family satisfaction, and operational efficiency.There is increasing emphasis on improving the patient experience with a shift to patient- and family-centered care throughout all areas of health care. In 2013, the American College of Radiology launched Imaging 3.0, an initiative aimed at encouraging and enabling radiologists to work on culture change to increase focus on appropriateness, efficiency, quality, safety and patient satisfaction. Many groups have subsequently used these and other tools to improve the overall patient experience, focusing on the entire imaging journey to include initial order placement, registration in the department, image acquisition, departure from the department, and how and when the patient and family receive the imaging results. In our department we have used multiple strategies and have applied quality-improvement methods and patient/family-centered care models to improve quality, safety and the patient experience. Most of these efforts have included team members across the department, including radiologists, technologists, quality-improvement personnel, managers and nurses.