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A century of theories of balancing selection
Traits that affect organismal fitness are often very genetically variable. This genetic variation is vital for populations to adapt to their environments, but it is also surprising given that nature (after all) “selects” the best genotypes at the expense of those that fall short. Explaining the extensive genetic variation of fitness-related traits is thus a longstanding puzzle in evolutionary biol
Exercise for osteoarthritis of the knee
BACKGROUND: Knee osteoarthritis (OA) is a major public health issue causing chronic pain, impaired physical function, and reduced quality of life. As there is no cure, self-management of symptoms via exercise is recommended by all current international clinical guidelines. This review updates one published in 2015.OBJECTIVES: We aimed to assess the effects of land-based exercise for people with kn
Amniotic fluid derived mesenchymal stem cells reduce inflammation and improve lung function following transplantation in a porcine model
BACKGROUND: Lung transplantation is hindered by low donor lung utilization rates. Infectious complications are reasons to decline donor grafts due to fear of post-transplant primary graft dysfunction. Mesenchymal stem cells are a promising therapy currently investigated in treating lung injury. Full-term amniotic fluid-derived lung-specific mesenchymal stem cell treatment may regenerate damaged lu
Heterogeneity in vegetation recovery rates post-flash droughts across different ecosystems
Flash droughts, as sub-seasonal phenomena, are characterized by their rapid onset and significant impact on terrestrial ecosystems. However, understanding how vegetation responds to flash droughts and the mechanisms governing vegetation recovery remains elusive. Here, we analysed the response of vegetation productivity to flash droughts and identified the most relevant drivers controlling vegetati
Response differences of arbuscular mycorrhizal fungi communities in the roots of an aquatic and a semiaquatic species to various flooding regimes
Background and aims: Arbuscular mycorrhizal fungi (AMF) are ubiquitous in wetland habitats, but their diversity and distribution pattern in these habitats is poorly understood. Under varying hydrological conditions, AMF communities in roots of different wetland species may respond differently due to hydrological and to physiological differences among plants. Here we test this hypothesis.Methods: A
Challenges and opportunities for early career medical professionals in cardiovascular magnetic resonance (CMR) imaging : a white paper from the Society for Cardiovascular Magnetic Resonance
The early career professionals in the field of Cardiovascular Magnetic Resonance (CMR) face unique challenges and hurdles while establishing their careers in the field. The Society for Cardiovascular Magnetic Resonance (SCMR) has expanded the role of the early career section within the society to foster the careers of future CMR leaders. This paper aims to describe the obstacles and available oppo
A method to identify investigative blind spots (MIBS) : Addressing blunt-end factors of ultra-safe organizations’ investigation-work-as-done
Colonization of a Novel Host Plant Reduces Phenotypic Variation
Soil, fertilizer and plant density : Exploring the influence of environmental factors to stable nitrogen and carbon isotope composition in cereal grain
Stable isotope analysis (N and C) of fossil cereal grains is regularly explored as a means of obtaining insights to past crop growing conditions and agricultural practices. In this study, we assessed how several growth conditions can affect δ15N and δ13C values of modern cereal grain with the aim to help understand isotopic values from ancient cereal remains. We investigated the impact of fertiliz
Superficially Plausible Outputs from a Black Box : Problematising GenAI Tools for Analysing Qualitative SoTL Data
Generative AI tools (GenAI) are increasingly used for academic tasks, including qualitative data analysis for the Scholarship of Teaching and Learning (SoTL). In our practice as academic developers, we are frequently asked for advice on whether this use for GenAI is reliable, valid, and ethical. Since this is a new field, we have not been able to answer this confidently based on published literatu
Leaching of hazardous substances from additives and admixtures in concrete
The aim of this work was to study the leaching of hazardous substances in additives and admixtures that are commonly contained in concrete. Time-dependent leaching has been analyzed for three types of metal containing concretes: with ordinary Portland cement (OPC), fly ash, and slag. The concretes had uniform leaching patterns, clearly above detection limits. The prolonged diffusion test of 1,700
Challenges for drought mitigation in Africa: The potential use of geospatial data and drought information systems
Understanding, monitoring and mitigating drought is a very difficult task as a consequence of the intrinsic nature of the phenomenon. In addition, assessing the impact of drought on ecosystems and societies is also a complex task, because the same drought severity may have different consequences in different regions and systems due to the underlying vulnerabilities. New technologies based on geosp
Detecting recent disturbance on montane blanket bogs in the Wicklow Mountains, Ireland, using the MODIS enhanced vegetation index
Irish peat soils are extensive, covering approximately 14-20% of the national land area. They contain between 53% and 62% of the national soil organic carbon stock. Montane blanket bog covers approximately 25% or 242650ha of the total peatland area in Ireland and is the dominant peatland type covering the upland area of Wicklow. Blanket bogs are very sensitive systems and have experienced much dis
Detection and identification of anomalies in wireless mesh networks using Principal Component Analysis (PCA)
Anomaly detection is becoming a powerful and necessary component as wireless networks gain popularity. In this paper, we evaluate the efficacy of PCA based anomaly detection for wireless mesh networks (WMN). PCA based method [1] was originally developed for wired networks. Our experiments show that it is possible to detect different types of anomalies, such as Denial-of-service (DoS) attack, port
Biotic and Abiotic Drivers of Peatland Growth and Microtopography : A Model Demonstration
Peatlands are important carbon reserves in terrestrial ecosystems. The microtopography of a peatland area has a strong influence on its carbon balance, determining carbon fluxes at a range of spatial scales. These patterned surfaces are very sensitive to changing climatic conditions. There are open research questions concerning the stability, behaviour and transformation of these microstructures,
Optimal harmonic period assignment : complexity results and approximation algorithms
Harmonic periods have wide applicability in industrial real-time systems. Rate monotonic (RM) is able to schedule task sets with harmonic periods up to 100% utilization. Also, if there is no release jitter and execution time variation, RM and EDF generate the same schedule for each instance of a task. As a result, all instances of a task are interfered by the same amount of workload. This property
A mechanistic model (BCC-PSSICO) to predict changes in the hydraulic properties for bio-amended variably saturated soils
The accumulation of biofilms in porous media is likely to influence the overall hydraulic properties and, consequently, a sound understanding of the process is required for the proper design and management of many technological applications. In order to bring some light into this phenomenon we present a mechanistic model to study the variably saturated hydraulic properties of bio-amended soils. Sp
Regulation of rod phototransduction machinery by ciliary neurotrophic factor
Ciliary neurotrophic factor (CNTF) promotes photoreceptor survival but also suppresses electroretinogram (ERG) responses. This has caused concerns about whether CNTF is detrimental to the function of photoreceptors because it is considered to be a potential treatment for retinal degenerative disorders. Here we report that the suppression of ERG responses is attributable to negative regulation of t
Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data
Many time-series smoothing methods can be used for reducing noise and extracting plant phenological parameters from remotely-sensed data, but there is still no conclusive evidence in favor of one method over others. Here we use moderate-resolution imaging spectroradiometer (MODIS) derived normalized difference vegetation index (NDVI) to investigate five smoothing methods: Savitzky-Golay fitting (S
