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The depth of convective clouds affects vertical transport of atmospheric constituents, influencing downstream weather and climate. Atmospheric controls on the maximum depth reached by moist convection are investigated with radar‐tracked convective cells tagged with sounding‐derived atmospheric parameters from a field campaign in central Argentina. Regression analyses show that narrow (<12‐km diameter) and wide (>16‐km diameter) cell depths respond to disparate factors, where cell areas are defined using composite reflectivity signatures. Undiluted lifted parcel indices including convective available potential energy (CAPE) and level of neutral buoyancy (LNB) are top predictors of wide cell maximum depth while mid‐tropospheric relative humidity is the top predictor of narrow cell maximum depth. Because narrow cells are more numerous than wide cells, the overall outcome of the full cell population does not strongly correlate with CAPE and LNB conditions. Tracked cells and atmospheric conditions in a simulation with 3‐km grid spacing covering the field campaign produce similar results to those observed. Narrow cells that are relatively deep have a cooler and moister mid‐troposphere with weaker free tropospheric subsidence, while relatively deep wide cells have much warmer and moister lower tropospheric conditions. These atmospheric differences are present 1 hr before cell initiation at both a fixed observing site and variable cell initiation locations. Simulated narrow cell maximum equivalent potential temperature decreases with height at a rate similar to the ambient vertical gradient, causing these cells to fall short of their LNB and supporting the view that entrainment‐driven dilution is a dominant control on their depth. Plain Language Summary: The depth that storms reach impacts where the heat, moisture, momentum, aerosols, and trace gases that they are transporting are deposited, but this depth is difficult to predict because most storms fall short of their theoretically maximum possible depth. The reason for this shortfall is that most storms are narrow, such that they are effectively diminished by mixing with surrounding drier air as the storm deepens. Thus, a dominant control on the depth of these clouds is the humidity of this surrounding air. However, wide storms are less vulnerable to destructive mixing with dry air. As a result, they more consistently reach depths that are well predicted by theory. These conclusions were reached via analysis of over a thousand storms over several months using field experiment measurements and a computer simulation. Key Points: Wide convective cell depth responds most to available instability, while narrow cell depth responds most to midlevel relative humidityEntrainment‐driven reduction of buoyancy decreases as cell width increases, causing disparate narrow and wide cell depth responsesA convection‐permitting simulation with 3‐km horizontal grid spacing generally reproduces observed relationships [ABSTRACT FROM AUTHOR]

Nonadherence to medication treatment regimens is a major preventable risk behavior in both acute and chronic diseases. Community pharmacists are facilitators in community care for promoting medication adherence and they should implement interdisciplinary medication adherence programs. To do so, pharmacists should be educated in medication adherence, and new pharmaceutical care policies should be implemented. The healthcare system should evolve to better meet the specific needs of patients. Aims: this article describes what has been undertaken in the last decade in medication adherence in terms of education, research, practice and policy in Switzerland.Methods: Medline was searched, with the search limited to Switzerland. The three Swiss pharmacy schools were also contacted to collect information about the medication adherence content of both their courses and research programs. National policies related to medication adherence were also reviewed for relevant content.Results: Education: two pharmacy schools offer courses devoted specifically to medication adherence. The number of hours dedicated to the topic varies between 4 to13. Research: a total of 16 studies met the inclusion criteria. Chronic patients were the focus of 9 studies. Medication adherence was the primary outcome of all studies; 10 studies also measured clinical outcomes. Nine studies evaluated the prevalence of medication nonadherence; three studies evaluated the feasibility of new technologies for monitoring adherence; three studies evaluated medication adherence enhancing programs. Policies: three cognitive pharmaceutical services are reimbursed by healthcare insurers, which are directly related to medication adherence.Conclusions: Pharmacists in Switzerland have been actively involved in medication adherence research since the mid ’90s. Specific medication adherence courses have entered the curriculum of pharmacy schools, and policies in Switzerland are slowly beginning to meet needs of chronic patients by the introduction of pharmaceutical cognitive services and reimbursement fees.

The purpose of this study was to examine the effects of listening to preferred vs. nonpreferred music on resistance exercise performance. Twelve resistance-trained college-aged males (age = 20.5 ± 1.24 years, height = 183.9 ± 6.8 cm, and body mass = 97.0 ± 18.2 kg) were recruited for this study. In a within-groups counterbalanced study design, subjects either listened to preferred or nonpreferred music during a bench press exercise test. Subjects completed as many repetitions as possible at 75% of their 1 repetition maximum with maximum explosive intent. Power and velocity of the barbell movement was measured for the first 3 repetitions using a linear position transducer. Motivation was measured using a visual analog scale immediately after exercise. Each exercise trial was separated by a 48-hour washout period. Results indicate that listening to preferred music increased overall bench press repetitions completed (p = 0.005; effect size [ES] = 0.84). During the first 3 repetitions, mean velocity (p = 0.001; ES = 1.6), relative mean power (p = 0.012; ES = 0.55), peak velocity (p = 0.011; ES = 0.99), and peak power (p = 0.009; ES = 0.35) were higher while listening to preferred music vs. nonpreferred music. Finally, motivation during the lift (p < 0.001; ES = 5.9) was significantly higher while listening to preferred vs. nonpreferred music. Current findings suggest that listening to preferred music by the individual results in greater performance than nonpreferred during resistance exercise. Athletes may benefit from the option to listen to their preferred music to increase motivation and resistance exercise performance. [ABSTRACT FROM AUTHOR]