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The following Key Messages comprise the salient findings of this study:1. Ambient energy (from sun, air, ground, and sky) can heat and cool buildings; provide hot water, ventilation, and daylighting; dry clothes; and cook food. These services account for about three-quarters of building energy consumption and a third of total US demand. Biophilic design (direct and indirect connections with nature) is an intrinsic adjunct to ambient energy systems, and improves wellness and human performance.2. The current strategy of electrification and energy efficiency for buildings will not meet our climate goals, because the transition to an all-renewable electric grid is too slow. Widespread adoption of ambient energy is needed. Solar-heated buildings also flatten the seasonal demand for electricity compared to all-electric buildings, reducing required production capacity and long-term energy storage. In addition, ambient-conditioned buildings improve resilience by remaining livable during power outages.3. National policies, incentives, and marketing should be enacted to promote ambient energy use. Federal administrative priorities should reflect the importance of ambient energy for buildings. Use of ambient energy should be encouraged through existing and new building codes and standards.4. Ambient energy system design tools are needed for architects, engineers, builders, building scientists, realtors, appraisers, and consumers. PVWatts is used over 100 million times per year for photovoltaic system design. A similar, simple, and accessible tool for ambient design is crucial.5. Training on ambient energy is needed throughout secondary, post-secondary, and continuing education for workforce development. Currently, only about 10% of colleges teach courses on passive heating and cooling systems.6. Ambient-conditioned buildings should be demonstrated in all US climate zones. Performance should be monitored and reported, with quantitative case studies made widely available.7. While current technology is sufficient to build high-performance ambient buildings now, research is needed to develop new technologies to harness ambient energy more effectively and more economically. Such advancements will facilitate adoption of ambient energy technologies in a wider range of buildings, including retrofits. Examples include windows with much lower thermal losses, use of the building shell for thermal storage, alternative light-weight thermal storage systems, sky-radiation cooling systems, automated controls for solar gains and passive cooling, and ground coupling.

The summer drought in the United Kingdom (UK) in 2022 produced significant speculation concerning how its termination may impact and interact with the soil resource. Whilst knowledge regarding soils and droughts exists in the scientific literature, a coherent understanding of the wider range of impacts on soil properties and functions has not been compiled for temperate soils. Here, we draw together knowledge from studies in the UK and other temperate countries to understand how soils respond to drought, and importantly what and where our knowledge gaps are. First, we define the different types of droughts and their frequency in the UK and provide a brief overview on the likely societal impacts that droughts place on the soil and related ecosystems. Our focus is on ‘agricultural and ecosystem drought’, as this is when soils experience dry periods affecting crops and ecosystem function, followed by rewetting. The behaviour of moisture in soils and the key processes that contribute to its storage and transport are examined. The principal changes in the physical, chemical, and biological properties of soils resulting from drought, and rewetting (i.e., drought termination) are discussed and their extensive interactions are demonstrated. Processes that are involved in the rewetting of soils are explored for soil and catchment-scale soil responses. Lastly, soils’ recovery after drought is considered, knowledge gaps are identified, and areas to improve understanding are highlighted.

In this paper we summarize the work of Henderson et al. who suggest a foursquare diagram that looks at change on two different dimensions so that an appropriate change strategy can be selected. Operationalizing such changes can be facilitated through the Accelerating Systematic Change Network (ASCN) Change Dashboard. We briefly introduce this Change Dashboard and how it might be used to implement a desired change, translating strategy to workable tactics.

This case report investigates the potential use of metabolism as a sensitive biomarker in monitoring the effectiveness of anti-amyloid therapy in a patient with mild cognitive impairment due to early Alzheimer's disease. The study centers around a 74-year-old male patient treated with aducanumab, a monoclonal antibody developed for anti-amyloid therapy. Alongside an expected decline in cerebral amyloid monitored using PET amyloid tracers, we observed significant improvements in the patient's brain metabolic activity, measured via 18-fluorodeoxyglucose positron emission tomography (FDG PET). Despite limitations posed by the single-patient case study, the findings invite further research and consider the utilization of FDG PET as a surrogate for clinically meaningful changes in the treatment of early Alzheimer's disease. These findings suggest the potential for more personalized and effective therapeutic interventions.

Abstract Numerous spatiotemporal species distribution modeling frameworks are now available to the ecological practitioner. This study compared three such frameworks accessible in the R programming language: generalized additive models with spatiotemporal smooths as implemented by mgcv, spatiotemporal generalized linear mixed models based on nearest neighbor Gaussian processes as implemented by starve, and spatiotemporal generalized linear mixed models based on the stochastic partial differential equations approach as implemented by sdmTMB. The primary focus was to compare the inferences obtained from applying these frameworks to the case study of the orange‐footed sea cucumber, Cucumaria frondosa, on the Scotian Shelf off Nova Scotia, Canada. Each model was fit to catch data (2000–2019) from Fisheries and Oceans Canada's annual Research Vessel and Snow Crab surveys. Environmental covariates were sourced from high‐resolution data layers, including physical oceanographic, bathymetric, and seafloor morphometric datasets. The three models captured variability in sea cucumber distribution that would have been overlooked without a spatiotemporal approach. Although their predictions were similar, including within C. frondosa spatial reserves, the models provided different inferences regarding covariate effects. This suggests that while practitioners primarily interested in mapping species distributions need only apply the most familiar framework, those most concerned with identifying predictive environmental covariates may benefit from comparing the output from multiple approaches. Employing multiple approaches can also serve as a validation technique.

Introduction With a limited global supply of vaccines and an increasing vaccine hesitancy, improving vaccination coverage has become a priority. Current vaccination regimes require multiple doses to be administered in a defined schedule where missed doses may lead to incomplete vaccine coverage and failure of immunization programmes. As such, there is an ever-increasing demand to convert multi-dose injectable vaccines into single-dose formats, often called single administration vaccines (SAVs). Areas covered This review summarizes recent developments in the field of SAVs, with a focus on pulsatile or controlled-release formulations. It will identify the technical challenges, translational as well as commercial barriers to SAVs development. Furthermore, the progress of SAV formulations for hepatitis B and polio vaccines will be reviewed thoroughly as case studies, with a focus on the development challenges and the preclinical immunogenicity/reactogenicity data. Expert opinion Despite the efforts to develop SAVs, few attempts have advanced to Phase-I trials. Considering the SAV development journey and bottlenecks, including commercial barriers from the early stages, may overcome some of the hurdles around the technology. The renewed global focus on vaccines since the COVID-19 pandemic could facilitate development of a new generation of technologies for pandemic preparedness including strategies for SAVs.

Background: Efficacy of nonoperative treatment for rotator cuff tears has been debated, especially for full-thickness tears. The purpose of this study was to a) define the minimal clinically important difference (MCID) of nonoperative treatment with regard to Patient-Reported Outcomes Measurement Information System (PROMIS) pain interference (PI) and upper extremity (UE), and b) determine the proportion of patients with both partial and full-thickness tears (PTRCT, FTRCT) who achieve this improvement following initial nonoperative treatment. We hypothesized that >75% of PTRCT and FTRTC patients would achieve MCID for PROMIS PI and UE. Methods: We performed a retrospective cohort study evaluating nonoperatively managed patients with image-confirmed PTRCT and FTRCT. Treatment modalities and follow-up PROMIS scores at least 6 months after their initial visit were recorded. Using a distribution technique, MCID was calculated. Results: A total of 111 FTRCT and 68 PTRCT patients were included with at least 6 months of follow-up. At 6 months from initial presentation, the MCID for PROMIS UE was 3.75 and 3.95 for FTRCT and PTRCT patients, respectively. For PROMIS PI, the MCID was 3.35 and 3.90 for FTRCT and PTRCT, respectively. In total, 41% of FTRCT and 41% of PTRCT achieved MCID for PROMIS UE. Thirty-four percent of FTRCT and 35% of PTRCT achieved MCID for PROMIS PI. Conclusion: The majority of patients undergoing nonoperative treatment for supraspinatus/infraspinatus rotator cuff tears did not achieve MCID at 6 months for PROMIS PI (34% for FTRCT and 35% for PTRCT) or UE (41% for FTRCT and 41% for PTRCT).

Macadamia nuts are, economically, the second most important crop in the state of Hawai’i. A recent decline in yield and acreage has been attributed to insect damage and diseases such as Macadamia Quick Decline (MQD) caused by Phytophthora tropicalis and P. heveae. To develop an improved methodology for the diagnosis and treatment of MQD, investigations were undertaken to better understand the pathosystem of the disease. These investigations included sampling from multiple locations from sectioned trees utilizing two methods of tissue collection and isolations using two baiting techniques. The collection of tissue from the cambium and phloem of trees after scraping away the bark and in locations of recent or current sap exudation using a narrow diameter steel awl proved to be an efficient means for the molecular detection of the MQD pathogens from infected trees exhibiting MQD symptoms. In addition, a more efficient and cost-effective baiting method using apple puree was developed.

Abstract Perennial bioenergy crops are a key tool in decarbonizing global energy systems, but to ensure the efficient use of land resources, it is essential that yields and crop longevity are maximized. Remedial shallow surface tillage is being explored in commercial Miscanthus plantations as an approach to reinvigorate older crops and to rectify poor establishment, improving yields. There are posited links, however, between tillage and losses in soil carbon (C) via increased ecosystem C fluxes to the atmosphere. As Miscanthus is utilized as an energy crop, changes in field C fluxes need to be assessed as part of the C balance of the crop. Here, for the first time, we quantify the C impacts of remedial tillage at a mature commercial Miscanthus plantation in Lincolnshire, United Kingdom. Net ecosystem C production based on eddy covariance flux observations and exported yield totalled 12.16 Mg C ha−1 over the 4.6 year period after tillage, showing the site functioned as a net sink for atmospheric carbon dioxide (CO2). There was no indication of negative tillage induced impacts on soil C stocks, with no difference 3 years post tillage in the surface (0–30 cm) or deep (0–70 cm) soil C stocks between the tilled Miscanthus field and an adjacent paired untilled Miscanthus field. Comparison to historic samples showed surface soil C stocks increased by 11.16 ± 3.91 Mg C ha−1 between pre (October 2011) and post tillage sampling (November 2016). Within the period of the study, however, the tillage did not result in the increased yields necessary to “pay back” the tillage induced yield loss. Rather the crop was effectively re‐established, with progressive yield increases over the study period, mirroring expectations of newly planted sites. The overall impacts of remedial tillage will depend therefore, on the longer‐term impacts on crop longevity and yields.

This article examines Black student activism in the context of the Black activist-intellectual tradition. It explores activism as a form of learning. Examining the Black Student Movement in Los Angeles from 1965 to 1975 in the context of student engagement and high impact educational practices reveals that (1) it is appropriate to analyze the Black Student Movement, and related social movements, in the context of student engagement and high impact practices highlighting the intellectual agency of Black student activists, and (2) that the Black Student Movement of the 1960s and 70 s were part of the Black activist-intellectual tradition requiring a reconceptualization of Black student activists as intellectuals. This case study draws upon autobiographies and semi-structured interviews of former Black student activists illustrating that activism is an intellectually and academically enriching activity., Author(s): M. Keith Jr. Claybrook [sup.1] Author Affiliations: (1) grid.253552.6, 0000 0001 2219 4764, Department of Africana Studies, CSU, , Long Beach, USA Black students were a major force in [...]

Rapid Ohia Death (ROD) is caused by two pathogens, Ceratocystis lukuohia and Ceratocystis huliohia. The established species-specific real-time PCR assays targeting the single-copy cerato-platanin gene require DNA from between 2 and 16 spores per reaction for consistent detection, which is suitable for analysis of infected plant tissue but not sensitive enough to consistently detect low spore loads in environmental samples. Here, we present two redesigned qPCR assays targeting the first internal transcribed spacer (ITS) region of the multi-copy ribosomal DNA operon from the respective species, both capable of consistent detection of the pathogen at concentrations as low as 1 fg per reaction, less than the size of the haploid genome. Due to this increased sensitivity, these ITS qPCR assays are superior for analysis of DNA extracted from material collected in airborne particle samplers and from soil. Here, we demonstrate the utility of these qPCR assays for the characterization of windblown and soilborne dispersal of the pathogens, which is critical for the development of management practices that mitigate disease spread. [Figure: see text] The author(s) have dedicated the work to the public domain under the Creative Commons CC0 “No Rights Reserved” license by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law, 2023.

Abstract Background A glymphatic system has been proposed that comprises flow that enters along cerebral paraarterial channels between the artery wall and the surrounding glial layer, continues through the parenchyma, and then exits along similar paravenous channels. The mechanism driving flow through this system is unclear. The pulsatile (oscillatory plus mean) flow measured in the space surrounding the middle cerebral artery (MCA) suggests that peristalsis created by intravascular blood pressure pulses is a candidate for the paraarterial flow in the subarachnoid spaces. However, peristalsis is ineffective in driving significant mean flow when the amplitude of channel wall motion is small, as has been observed in the MCA artery wall. In this paper, peristalsis in combination with two additional mechanisms, a longitudinal pressure gradient and directional flow resistance, is evaluated to match the measured MCA paraarterial oscillatory and mean flows. Methods Two analytical models are used that simplify the paraarterial branched network to a long continuous channel with a traveling wave in order to maximize the potential effect of peristalsis on the mean flow. The two models have parallel-plate and annulus geometries, respectively, with and without an added longitudinal pressure gradient. The effect of directional flow resistors was also evaluated for the parallel-plate geometry. Results For these models, the measured amplitude of arterial wall motion is too large to cause the small measured amplitude of oscillatory velocity, indicating that the outer wall must also move. At a combined motion matching the measured oscillatory velocity, peristalsis is incapable of driving enough mean flow. Directional flow resistance elements augment the mean flow, but not enough to provide a match. With a steady longitudinal pressure gradient, both oscillatory and mean flows can be matched to the measurements. Conclusions These results suggest that peristalsis drives the oscillatory flow in the subarachnoid paraarterial space, but is incapable of driving the mean flow. The effect of directional flow resistors is insufficient to produce a match, but a small longitudinal pressure gradient is capable of creating the mean flow. Additional experiments are needed to confirm whether the outer wall also moves, as well as to validate the pressure gradient.

Nursing homes and other long-term care facilities account for a disproportionate share of COVID-19 cases and fatalities worldwide. Outbreaks in US nursing homes have persisted despite nationwide visitor restrictions beginning in mid-March. An early report issued by the Centers for Disease Control and Prevention identified staff members working in multiple nursing homes as a likely source of spread from the Life Care Center in Kirkland, WA, to other skilled nursing facilities. The full extent of staff connections between nursing homes-and the role these connections serve in spreading a highly contagious respiratory infection-is currently unknown given the lack of centralized data on cross-facility employment. We perform a large-scale analysis of nursing home connections via shared staff and contractors using device-level geolocation data from 50 million smartphones, and find that 5.1% of smartphone users who visited a nursing home for at least 1 h also visited another facility during our 11-wk study period-even after visitor restrictions were imposed. We construct network measures of connectedness and estimate that nursing homes, on average, share connections with 7.1 other facilities. Traditional federal regulatory metrics of nursing home quality are unimportant in predicting outbreaks, consistent with recent research. Controlling for demographic and other factors, a home's staff network connections and its centrality within the greater network strongly predict COVID-19 cases.

Mistrust of scientific evidence and government-issued guidelines is increasingly correlated with political affiliation. Survey evidence has documented skepticism in a diverse set of issues including climate change, vaccine hesitancy, and, most recently, COVID-19 risks. Less well understood is whether these beliefs alter high-stakes behavior. Combining GPS data for 2.7 million smartphone users in Florida and Texas with 2016 U.S. presidential election precinct-level results, we examine how conservative-media dismissals of hurricane advisories in 2017 influenced evacuation decisions. Likely Trump-voting Florida residents were 10 to 11 percentage points less likely to evacuate Hurricane Irma than Clinton voters (34% versus 45%), a gap not present in prior hurricanes. Results are robust to fine-grain geographic controls, which compare likely Clinton and Trump voters living within 150 m of each other. The rapid surge in media-led suspicion of hurricane forecasts-and the resulting divide in self-protective measures-illustrates a large behavioral consequence of science denialism.

Daily and seasonal fluctuations in environmental conditions can significantly impact the survivorship and reproductive success of animals by altering energetic costs and predation risks. Behaviorally, animals often respond to changes in their environment through regulation of acthity and associated movement patterns. We used accelerometer-informed GPS telemetry to assess nightly activity and movement patterns in response to environmental conditions in a small endotherm, the eastern spotted skunk (Spilogale putorius). Nightly movements and activity of skunks were monitored in association with ambient temperature, precipitation, and moon illumination during late winter through summer in Alabama. Eastern spotted skunks were strictly nocturnal, exhibiting almost no daytime activity. Total time active and total distance moved each night increased with ambient temperature and rainfall. Variation in moon illumination, which may affect predation risk, did not impact skunk nightly activity or movement. Eastern spotted skunks likely reduce predation risk by being active between sunset and sunrise when they are less visible to predators. Lower activity and movement at cooler temperatures significantly reduces thermoregulatory costs for small endotherms. Increased activity of skunks during or shortly after precipitation may be driven by increased prey availability. Our findings indicate that small endotherms, like the eastern spotted skunk, rely extensively on behavioral thermoregulation, instead of physiological adaptation, to buffer themselves against changing environmental conditions. Behavioral flexibility may promote species persistence as climate changes, and should be considered in conservation strategies of vulnerable species, such as eastern spotted skunks., INTRODUCTION Environmental conditions, both abiotic and biotic, experienced by animals change daily and seasonally in both predictable and unpredictable ways. Fluctuations in these environmental conditions can significantly impact survivorship and [...]

Composite cognitive measures in large-scale studies with biomarker data for amyloid and tau have been widely used to characterize Alzheimer's disease (AD). However, little is known about how the findings from these studies translate to memory clinic populations without biomarker data, using single measures of cognition. Additionally, most studies have utilized voxel-based morphometry or limited surface-based morphometry such as cortical thickness, to measure the neurodegeneration associated with cognitive deficits. In this study, we aimed to replicate and extend the biomarker, composite study relationships using expanded surface-based morphometry and single measures of cognition in a memory clinic population. We examined 271 clinically diagnosed symptomatic individuals with mild cognitive impairment (N = 93) and Alzheimer's disease dementia (N = 178), as well as healthy controls (N = 29). Surface-based morphometry measures included cortical thickness, sulcal depth, and gyrification index within the “signature areas” of Alzheimer's disease. The cognitive variables pertained to hallmark features of Alzheimer's disease including verbal learning, verbal memory retention, and language, as well as executive function. The results demonstrated that verbal learning, language, and executive function correlated with the cortical thickness of the temporal, frontal, and parietal areas. Verbal memory retention was correlated to the thickness of temporal regions and gyrification of the inferior temporal gyrus. Language was related to the temporal regions and the supramarginal gyrus' sulcal depth and gyrification index. Executive function was correlated with the medial temporal gyrus and supramarginal gyrus sulcal depth, and the gyrification index of temporal regions and supramarginal gyrus, but not with the frontal areas. Predictions of each of these cognitive measures were dependent on a combination of structures and each of the morphometry measurements, and often included medial temporal gyrus thickness and sulcal depth. Overall, the results demonstrated that the relationships between cortical thinning and cognition are widespread and can be observed using single measures of cognition in a clinically diagnosed AD population. The utility of sulcal depth and gyrification index measures may be more focal to certain brain areas and cognitive measures. The relative importance of temporal, frontal, and parietal regions in verbal learning, language, and executive function, but not verbal memory retention, was replicated in this clinic cohort.