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Cosmetic dermatology is a key subspecialty of academic dermatology. As such, academic centers are expected to demonstrate excellence in the teaching of cosmetic dermatology skills to trainees, the clinical delivery of cosmetic dermatology services to patients, and the performance of clinical research that advances knowledge and uncovers new therapies in cosmetic dermatology. The Association of Academic Cosmetic Dermatology (AACD), a newly formed medical professional society, includes as its principal aims the support of all of these areas. AACD is comprised of group of board-certified dermatologists who teach cosmetic and laser dermatology at US dermatology residency programs. An expert panel constituted by the AACD recently convened a workshop to review gaps pertaining to academic cosmetic dermatology. This panel considered needs and potential corrective initiatives in three domains: resident education, patient experience, and clinical research. The work of the panel was used to develop a roadmap, which was adopted by consensus, and which will serve to guide the AACD moving forward.

Cosmetic and laser procedures are increasingly popular among patients and are skills in which dermatologists are regarded as well trained. Most dermatology residents intend to incorporate cosmetic procedures into their practice and prefer to learn such procedures during residency through direct patient care. However, there are notable challenges in optimizing how residents are trained in cosmetic and laser dermatology. To address these barriers and elevate the practice of cosmetic dermatology in academic medicine, the Association of Academic Cosmetic Dermatology (AACD) was founded in 2021 as the lead professional society for dermatologists who direct the education of resident trainees in cosmetic and laser dermatology. The AACD, a group of board-certified dermatologists who teach cosmetic and laser dermatology to residents, aims to improve cosmetic dermatology education through collaboration, research, and advocacy.

Abstract Increasing crop production in a changing climate is one of the challenges facing the agricultural research community. The goal of this study was to identify and evaluate specific determinant traits for improving water stress resiliency of cultivated upland cotton (Gossypium hirsutum L.). Two genotypes (PhytoGen 72 [PHY72] and Stoneville 474 [STV474]) representing different production regions of the US were evaluated for water stress resiliency under greenhouse conditions. More than 20 vegetative and reproductive traits were evaluated through six physiological reproductive stages, from plant emergence to open bolls and under two irrigation levels. Significant differences (p ≤ 0.05) were observed between irrigation levels for most traits within each genotype. PHY72 had rapid increases in plant height under regular water and limited water conditions (RW and LW). RW approximated daily evapotranspiration rates, while LW rate provided 50% less water by mass. However, by the fourth stage, peak blooming, the two genotypes were the same height, indicating that early and rapid vegetative plant growth from emergence to first reproductive stage was not a good indicator of improved growth and boll production under diverse irrigation levels. Some traits, such as leaf temperature, chlorophyll fluorescence yield, leaf and boll number, as well as leaf and reproductive fresh weight, showed clear differences between the two genotypes in one or both irrigation rates. Cotton breeders/geneticists currently cannot predict end‐of‐season productivity based on early‐season evaluations under water stress conditions. Early season, controlled environment screening before field testing may reveal the genetic potential of breeding lines for water stress resiliency.

Hyperspectral measurements can help with rapid decision-making and collecting data across multiple locations. However, there are multiple data processing methods (Savisky-Golay [SG], first derivative [FD], and normalization) and analyses (partial least squares regression [PLS], weighted k-nearest neighbor [KKNN], support vector machine [SVM], and random forest [RF]) that can be used to determine the best relationship between physical measurements and hyperspectral data. In the current study, FD was the best method for data processing and SVM was the best model for predicting average cotton (Gossypium spp. Malvaceae) height and nodes. However, the combination of FD and RF were best at predicting cotton leaf area index, canopy cover, and chlorophyll content across the growing season. Additionally, results from models developed by both SVM and RF were closely related to pseudo-CHIME satellite wavebands, where in-situ hyperspectral data were matched to the spectral resolutions of a future hyperspectral satellite. The information and results presented will aid producers and other members of the cotton industry to make rapid and meaningful decisions that could result in greater yield and sustainable intensification.

While the sentinel nature of freshwater systems is now well recognized, widespread integration of freshwater processes and patterns into our understanding of broader climate-driven Arctic terrestrial ecosystem change has been slow. We review the current understanding across Arctic freshwater systems of key sentinel responses to climate, which are attributes of these systems with demonstrated and sensitive responses to climate forcing. These include ice regimes, temperature and thermal structure, river baseflow, lake area and water level, permafrost-derived dissolved ions and nutrients, carbon mobilization (dissolved organic carbon, greenhouse gases, and radiocarbon), dissolved oxygen concentrations, lake trophic state, various aquatic organisms and their traits, and invasive species. For each sentinel, our objectives are to clarify linkages to climate, describe key insights already gained, and provide suggestions for future research based on current knowledge gaps. We suggest that tracking key responses in Arctic freshwater systems will expand understanding of the breadth and depth of climate-driven Arctic ecosystem changes, provide early indicators of looming, broader changes across the landscape, and improve protection of freshwater biodiversity and resources.

Abstract The medical device and pharmaceutical industries include a range of drugs, machines, instruments, and apparatuses used to prevent, diagnose, treat disease and illness, or aid in rehabilitation for patients, and are expected to grow substantially in the coming years. However, they are often targets of criminal organizations who manufacture and profit from fraudulent products, infiltrating the market with counterfeit medical supply chains. In this paper, we discuss and analyze the extent and nature of this problem and make suggestions for mitigation and prevention of this worldwide challenge. Ultimately, we argue that a holistic approach is essential to addressing this problem, including the creation and dissemination of reliable and good quality data, developing healthcare systems to be more robust, establishing/enhancing intra‐ and international cooperation around this issue, and employing effective technological solutions, such as digital tracing.

The vulnerability of cyber-physical systems to cyber attack is well known, and the requirement to build cyber resilience into these systems has been firmly established. The key challenge this paper addresses is that maturing this discipline requires the development of techniques, tools, and processes for objectively, rigorously, and quantitatively measuring the attributes of cyber resilience. Researchers and program managers need to be able to determine if the implementation of a resilience solution actually increases the resilience of the system. In previous work, a table top exercise was conducted using a notional heavy vehicle on a fictitious military mission while under a cyber attack. While this exercise provided some useful data, more and higher fidelity data is required to refine the measurement methodology. This paper details the efforts made to construct a cost-effective experimentation infrastructure to provide such data. It also presents a case study using some of the data generated by the infrastructure.

Controlling unwanted annual bluegrass (Poa annua L.) in desirable turfgrass species often relies heavily on herbicide use. As a result, increasing populations of herbicide-resistant annual bluegrass have become a concern. In 2018, a university research and extension initiative began addressing the increasing herbicide-resistant annual bluegrass epidemic. Preliminary findings produced by this research initiative were presented to golf course employees at the 2022 Golf Course Superintendents Association of American Educational Conference in San Diego, California. Findings were presented by a panel of scientists working on various annual bluegrass research sub-objectives. A survey was designed to match the sub-objectives within this panel presentation and determine what recommendations the attendees were most likely to use. The survey also identified environmental zones where participants originated and what turfgrass species they are managing in various areas of the golf course. The goal of sharing these survey findings is to assist turfgrass extension specialists and managers interested in designing annual bluegrass management programs that match stakeholder needs. Survey results determined that extension material pertaining to controlling annual bluegrass with cultural practices would interest the largest stakeholder cross section regardless of environmental turfgrass zone. Another major topic was annual bluegrass emergence patterns for herbicide timing, which was the most important or interesting topic for golf course employees in the warm-season turfgrass environmental zone.

We describe an HIV-negative 43-year-old woman presenting with a diffuse ulceronodular eruption and positive serological tests for syphilis consistent with lues maligna. Lues maligna is a severe and rare variant of secondary syphilis characterized by prodromal constitutional symptoms followed by the formation of multiple well-circumscribed nodules with ulceration and crust. This case depicts a particularly rare presentation as lues maligna usually involves HIV-positive men. The clinical presentation of lues maligna can pose a diagnostic challenge, with infections, sarcoidosis, and cutaneous lymphoma as just a few entities in its broad differential diagnosis. However, with a high index of suspicion, clinicians can diagnose and treat this entity earlier and reduce morbidity.

Abstract Tepary bean (Phaseolus acutifolius A. Gray) is an underutilized drought tolerant annual legume, originating from the Sonoran Desert, that may be a beneficial forage/hay for beef cattle in the Southern Great Plains of the US (SGP). The SGP has erratic rainfall and periods of intermittent drought exacerbated by high summer temperatures. In 2020 and 2021, a split-plot design was used to evaluate 13 genotypes of tepary bean and a forage soybean (control) at El Reno, OK, USA to compare production of plant biomass and forage nutritive value parameters under seven harvest regimes. Genotypes were used as the main plot and cutting management as the sub-plot. Biomass production of all tepary bean genotypes equaled that of soybean (p > 0.05), while several genotypes had superior forage nutritive value traits (p ≤ 0.05). Overall, a 15-cm cutting height and 30-day harvest interval produced the best overall product (average dry biomass of 5.8 Mg ha−1 with average relative feed values (RFV) of 165). Although all harvest regimes reduced total seasonal biomass, forage nutritive value increased. However, the tradeoff between forage production and nutritive value may be unacceptable to most producers. Further agronomic and breeding research is needed to encourage producers to grow tepary bean as a forage/hay in the SGP.

Introduction Multimodal pain control following cardiothoracic surgery remains a focus in international guidelines. We hypothesise that non-depolarising skeletal muscle relaxants can prove to be a useful adjunct for this population.Methods/analysis This systematic review will focus on human adult studies of pain control using muscle relaxants within 1 week following cardiac and thoracic surgery available in PubMed, Cochrane Central, Web of Science and EMBASE. Target studies will have a primary focus on measured effects on quality of pain control and reduction in opioid usage. Studies that include non-depolarising skeletal muscle relaxants given during cardiothoracic surgery or in the week after will be included. Study selection will be in keeping with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Procedures and agents used will be analysed together, and a meta-analysis will be conducted then compared with current therapies recommended in international practice guidelines.Ethics and dissemination Formal ethical approval will not be required as primary data will not be collected. The results will be disseminated through peer-reviewed publication, conference presentation and lay press.PROSPERO registration number CRD42023397917.