Replicable Manner Research Articles

MODELAREA MATEMATICĂ A FORȚEI NECESARE DEPLASĂRII PLATFORMELOR DESTINATE PRELEVĂRII PROBELOR DE SOL

Self-propelled platforms designed for soil sampling represent a remarkable technological advancement in the field of soil research, providing efficient and precise collection of essential data regarding soil composition. These platforms are equipped with advanced technologies and sophisticated sampling systems, offering researchers the opportunity to obtain detailed data in an automated and replicable manner. In this article, we will delve into the technical features of self-propelled platforms for soil sampling and their significance in advancing soil sciences research. In this paper, a mathematical model is described to aid in the design of the propulsion system of self-propelled platforms intended for soil sample collection under conditions of movement on horizontal or sloping terrain. With this mathematical model, the forces required for the platform to move can be calculated, considering the constraints specific to each project. When the project is completed, and key parameters such as the total weight of the platform, dimensions, payload weight, and transmission gear ratios are known, the minimum power required for the engine to move the platform can be calculated.

Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment

Canopy fuels and surface fuel models, topographic features and other canopy attributes such as stand height and canopy cover, provide the necessary spatial datasets required by various fire behaviour modelling simulators. This is a technical note reporting on a pan-European fuel map server, highlighting the methods for the production and validation of canopy features, more specifically canopy fuels, and surface fuel models created for the European Union’s Horizon 2020 “FIRE-RES” project, as well as other related data derived from earth observation. The aim was to deliver a fuel cartography in a findable, accessible, interoperable and replicable manner as per F.A.I.R. guiding principles for research data stewardship. We discuss the technology behind sharing large raster datasets via web-GIS technologies and highlight advances and novelty of the shared data. Uncertainty maps related to the canopy fuel variables are also available to give users the expected reliability of the data. Users can view, query and download single layers of interest, or download the whole pan-European dataset. All layers are in raster format and co-registered in the same reference system, extent and spatial resolution (100 m). Viewing and downloading is available at all NUTS scales, ranging from country level (NUTS0) to province level (NUTS3), thus facilitating data management and access. The system was implemented using R for part of the processing and Google Earth Engine. The final app is openly available to the public for accessing the data at various scales.

COLLABORATIVE PLATFORMS SUPPORTING CIRCULARITY IN THE BUILT ENVIRONMENT. IDENTIFYING STRATEGIC ACTIONS AND REPLICABLE GOOD PRACTICES

This contribution highlights the role that collaborative platforms can offer for the promotion of circularity in the construction sector, through the interaction between different stakeholders and, in particular, through the collection and promotion of good practices. In fact, the work reports the outcomes of stakeholder consultation experiences, developed within the Italian Circular Economy Stakeholder Platform, aimed at identifying the strategic areas and priority actions for the scale-up circular solutions to a large scale, and activities of collection, selection and analysis of good practices at different scales (products, buildings, tools) that exemplify the possibility of concretely implementing - in a highly replicable manner - the circular solutions, until now often considered experimental cases that are difficult to be repeated.

A Missing Link on Semantic Interoperability.

Syntactic interoperability among health ICT systems is well-established, but achieving semantic interoperability requires more than just exchanging codes. We present a pragmatic, safe, and effective approach towards an ambitious goal: enabling any software to process a critical mass of routine clinical information in a replicable manner across various systems and local contexts. We advocate for the use of reliable, parsimonious coding to handle the most replicable aspects of data processing for routine patient information, while reserving the intricate interpretation of individual patient data nuances for skilled professionals, possibly supported by Artificial Intelligence tools. We suggest coping with routine tasks by focusing on a limited set of a few thousand data elements, named the 'Clinical Documentation Kernel' (CDK). This approach will provide direct benefits to users and assist in the human interpretation of other patient information. Our preliminary study focuses on the 'primitives' and 'qualifiers' that bring the highest value to the health ecosystem in various authoritative scenarios in the field of diabetes.

Terrestrial laser scanning and low magnetic field digitization yield similar architectural coarse root traits for 32-year-old Pinus ponderosa trees

BackgroundUnderstanding how trees develop their root systems is crucial for the comprehension of how wildland and urban forest ecosystems plastically respond to disturbances such as harvest, fire, and climate change. The interplay between the endogenously determined root traits and the response to environmental stimuli results in tree adaptations to biotic and abiotic factors, influencing stability, carbon allocation, and nutrient uptake. Combining the three-dimensional structure of the root system, with root morphological trait information promotes a robust understanding of root function and adaptation plasticity. Low Magnetic Field Digitization coupled with AMAPmod (botAnique et Modelisation de l’Architecture des Plantes) software has been the best-performing method for describing root system architecture and providing reliable measurements of coarse root traits, but the pace and scale of data collection remain difficult. Instrumentation and applications related to Terrestrial Laser Scanning (TLS) have advanced appreciably, and when coupled with Quantitative Structure Models (QSM), have shown some potential toward robust measurements of tree root systems. Here we compare, we believe for the first time, these two methodologies by analyzing the root system of 32-year-old Pinus ponderosa trees.ResultsIn general, at the total root system level and by root-order class, both methods yielded comparable values for the root traits volume, length, and number. QSM for each root trait was highly sensitive to the root size (i.e., input parameter PatchDiam) and models were optimized when discrete PatchDiam ranges were specified for each trait. When examining roots in the four cardinal direction sectors, we observed differences between methodologies for length and number depending on root order but not volume.ConclusionsWe believe that TLS and QSM could facilitate rapid data collection, perhaps in situ, while providing quantitative accuracy, especially at the total root system level. If more detailed measures of root system architecture are desired, a TLS method would benefit from additional scans at differing perspectives, avoiding gravitational displacement to the extent possible, while subsampling roots by hand to calibrate and validate QSM models. Despite some unresolved logistical challenges, our results suggest that future use of TLS may hold promise for quantifying tree root system architecture in a rapid, replicable manner.

Chaos Engineering for Resilience Assessment of Digital Twins

Within the Industry 4.0 vision, Digital Twins (DTs) have gained great attention as a promising approach to improve remote monitoring and control by means of virtual representations of physical objects. However, while DTs are becoming more and more sophisticated and even adopted for mission-critical applications, their resilience assessment has not received the required consideration yet. This paper originally proposes Chaos Engineering to assess and improve the resilience of DTs by testing multiple aspects of industrial environments in a coordinated, automated, and replicable manner. First, the paper discusses why and how Chaos Engineering is promising to improve the resilience of DTs. Then, it identifies and introduces a set of Chaos Engineering profiles specifically designed to take into account the many aspects an industrial environment is composed of. Finally, it shows the feasibility of assessing the resilience of a proof-of-concept DT through a testbed based on widely-adopted, open-source tools.

Wine sensory experience in hospitality education: a systematic review

PurposeThe aim of this paper is to examine the existing literature circa 2010–2023 of introductory wine education involving sensory experience components in an objective, transparent and replicable manner. Sensory experience education normally involves the usage of the five senses (smell, taste, sight, feel and hearing) as means to demonstrate, scaffold and illuminate introductory-level wine curricula. This study identifies the methodologies used in existing in educational wine sensory experience literature, identifies the pedagogical utilities of current wine research and explores findings useful for wine educators.Design/methodology/approachThis paper uses the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) for literature review reporting.FindingsFrom the existing body of literature involving wine sensory experience in education (N = 20), five pedagogical utilities emerged from the dataset: wine sensory experience training (n = 7), wine sensory analysis techniques (n = 5), teaching environment (n = 5), wine and food pairing (n = 2) and psychological context (n = 1). Furthermore, experimental design is the preferred method (n = 14) of research related to wine sensory experience in education.Practical implicationsThis study provides utility for wine educators at the college and university level and may provide perspective and tools for firms seeking consumer engagement through wine education.Originality/valueTo the researchers' knowledge, there are no literature reviews that explore wine sensory experience in education. Thus, the primary contributions of this study are threefold: identification of current gaps in wine education research, identification of future research questions and avenues of study, and resources for curriculum improvement of introductory wine courses.

Quantitative mechanical stimulation of GPR68 using a novel 96 well flow plugin.

Mechanosensitive proteins play a crucial role in a range of physiological processes, including hearing, tactile sensation and regulating blood flow. While previous work has demonstrated the mechanosensitivity of several proteins, the ability to apply precisely defined mechanical forces to cells in a consistent, replicable manner remains a significant challenge. In this work we present a novel 96-well plate-compatible plugin device for generating highly-controlled flow-based mechanical simulation of cells, which enables quantitative assessment of mechanosensitive protein function. The device is used to mechanically stimulate HEK 293T cells expressing the mechanosensitive protein GPR68, a G protein-coupled receptor. By assaying intracellular calcium levels during flow-based cell stimulation, we determine that GPR68 signalling is a function of the applied shear-force. As this approach is compatible with conventional cell culture plates and allows for simultaneous readout in a conventional fluorescence plate reader, this represents a valuable new tool to investigate mechanotransduction.

Checklist to assess Trustworthiness in RAndomised Controlled Trials (TRACT checklist): concept proposal and pilot

ObjectivesTo propose a checklist that can be used to assess trustworthiness of randomized controlled trials (RCTs).DesignA screening tool was developed using the four-stage approach proposed by Moher et al. This included defining the scope, reviewing the evidence base, suggesting a list of items from piloting, and holding a consensus meeting. The initial checklist was set-up by a core group who had been involved in the assessment of problematic RCTs for several years. We piloted this in a consensus panel of several stakeholders, including health professionals, reviewers, journal editors, policymakers, researchers, and evidence-synthesis specialists. Each member was asked to score three articles with the checklist and the results were then discussed in consensus meetings.OutcomeThe Trustworthiness in RAndomised Clinical Trials (TRACT) checklist includes 19 items organised into seven domains that are applicable to every RCT: 1) Governance, 2) Author Group, 3) Plausibility of Intervention Usage, 4) Timeframe, 5) Drop-out Rates, 6) Baseline Characteristics, and 7) Outcomes.Each item can be answered as either no concerns, some concerns/no information, or major concerns. If a study is assessed and found to have a majority of items rated at a major concern level, then editors, reviewers or evidence synthesizers should consider a more thorough investigation, including assessment of original individual participant data.ConclusionsThe TRACT checklist is the first checklist developed specifically to detect trustworthiness issues in RCTs. It might help editors, publishers and researchers to screen for such issues in submitted or published RCTs in a transparent and replicable manner.

Connecting the dots? Entrepreneurial ecosystems and sustainable entrepreneurship as pathways to sustainability

AbstractWhile the exponential growth of entrepreneurial ecosystem research has dramatically increased our understanding of the role of context in entrepreneurial outcomes, our knowledge of entrepreneurial ecosystems and environmentally sustainable entrepreneurship is still fragmented. There is ambiguity on how entrepreneurial ecosystems influence sustainable entrepreneurship and what factors facilitate or constrain sustainable entrepreneurship. We attempt to take stock of the extant scholarship on entrepreneurial ecosystems and synthesize studies examining their linkages with sustainability. We systematically reviewed 77 articles identified in the World of Science and Scopus databases to discuss the main themes. The content analysis uncovered four key themes: (a) how entrepreneurial ecosystems become more sustainable, (b) the role of entrepreneurs, (c) the role of universities, and (d) the outcomes of sustainable ecosystems. The findings reveal that interactions between different actors, including customers, suppliers, institutions, governments, and universities, can result in a sustainable entrepreneurial ecosystem. The novelty of our study arises from integrating extant studies on entrepreneurial ecosystem and sustainability in a systematic and replicable manner. We observed heightened attention to the environmental challenges in ecosystem literature and entrepreneurs' expanded roles in generating ecological and social value. Future studies can further evaluate the effectiveness of entrepreneurial ecosystems to examine whether creating an entrepreneurial ecosystem has a similar value while achieving sustainable development goals across varied contexts.

Mixed yeast communities contribute to regionally distinct wine attributes

There is evidence that vineyard yeast communities are regionally differentiated, but the extent to which this contributes to wine regional distinctiveness is not yet clear. This study represents the first experimental test of the hypothesis that mixed yeast communities-comprising multiple, region-specific, isolates, and species-contribute to regional wine attributes. Yeast isolates were sourced from uninoculated Pinot Noir fermentations from 17 vineyards across Martinborough, Marlborough, and Central Otago in New Zealand. New methodologies for preparing representative, mixed species inoculum from these significantly differentiated regional yeast communities in a controlled, replicable manner were developed and used to inoculate Pinot Noir ferments. A total of 28 yeast-derived aroma compounds were measured in the resulting wines via headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry. Yeast community region of origin had a significant impact on wine aroma, explaining ∼10% of the observed variation, which is in line with previous reports of the effects of region-specific Saccharomyces cerevisiae isolates on Sauvignon Blanc ferments. This study shows that regionally distinct, mixed yeast communities can modulate wine aroma compounds in a regionally distinct manner and are in line with the hypothesis that there is a microbial component to regional distinctiveness, or terroir, for New Zealand Pinot Noir.

Can we avert an Amazon tipping point? The economic and environmental costs

The Amazon biome is being pushed by unsustainable economic drivers towards an ecological tipping point where restoration to its previous state may no longer be possible. This degradation is the result of self-reinforcing interactions between deforestation, climate change and fire. We assess the economic, natural capital and ecosystem services impacts and trade-offs of scenarios representing movement towards an Amazon tipping point and strategies to avert one using the Integrated Economic-Environmental Modeling (IEEM) Platform linked with spatial land use-land cover change and ecosystem services modeling (IEEM + ESM). Our approach provides the first approximation of the economic, natural capital and ecosystem services impacts of a tipping point, and evidence to build the economic case for strategies to avert it. For the five Amazon focal countries, namely, Brazil, Peru, Colombia, Bolivia and Ecuador, we find that a tipping point would create economic losses of US$256.6 billion in cumulative gross domestic product by 2050. Policies that would contribute to averting a tipping point, including strongly reducing deforestation, investing in intensifying agriculture in cleared lands, climate-adapted agriculture and improving fire management, would generate approximately US$339.3 billion in additional wealth and a return on investment of US$29.5 billion. Quantifying the costs, benefits and trade-offs of policies to avert a tipping point in a transparent and replicable manner can support the design of regional development strategies for the Amazon biome, build the business case for action and catalyze global cooperation and financing to enable policy implementation.

Genome Characterization and Pathogenicity of Two New Hyptis pectinata Viruses Transmitted by Distinct Insect Vectors.

Two newly described viruses belonging to distinct families, Rhabdoviridae and Geminiviridae, were discovered co-infecting Hyptis pectinata from a tropical dry forest of Ecuador. The negative-sense RNA genome of the rhabdovirus, tentatively named Hyptis latent virus (HpLV), comprises 13,765 nucleotides with seven open reading frames separated by the conserved intergenic region 3'-AAUUAUUUUGAU-5'. Sequence analyses showed identities as high as 56% for the polymerase and 38% for the nucleocapsid to members of the genus Cytorhabdovirus. Efficient transmission of HpLV was mediated by the pea aphid (Acyrthosiphon pisum) in a persistent replicative manner. The single-stranded DNA genome of the virus tentatively named Hyptis golden mosaic virus (HpGMV) shared homology with members of the genus Begomovirus with bipartite genomes. The DNA-A component consists of 2,716 nucleotides (nt), whereas the DNA-B component contains 2,666 nt. Pairwise alignments using the complete genomic sequence of DNA-A of HpGMV and closest relatives showed identities below the cutoff (<91% shared nt) established by the ICTV as species demarcation, indicating that HpGMV should be classified in a distinct begomovirus species. Transmission experiments confirmed that the whitefly Bemisia tabaci Middle East-Asia Minor 1 (MEAM1) is a vector of HpGMV.

Modular personalized climatization testing infrastructure with smartphone-based user feedback

Heating and ventilation in buildings and vehicles are responsible for over a third of global final energy usage and the resulting emissions. Local climatization can help to save energy while at the same time enable more individualized and adapted micro-climates around people. For the domain of local comfort, integrative test environments for sensors, actuators, and control software are scarce, and oftentimes tailored to a specific set of components. Here, a server-based modular testing infrastructure which allows integration and evaluation of sensors, actuators, and control strategies is presented. Currently, the system is able to integrate, monitor, and log data of thermal imaging, motion sensing, environmental sensor such as temperature or air velocity and to forward signals to actuators such as fans, infrared- or contact-heaters. The generation of control signals is model-based and relies on user feedback provided via the system’s smartphone app. Lastly, learning algorithms can be trained and compared during user studies. Practical Application: Although developed in a laboratory based research context, the proposed system is based on open standards and protocols. It therefore can be applied by practitioners, developers, and manufacturers in order to test stand-alone components as well as ensembles of sensors and actuators for personalized climatization in an integrative and replicable manner.

Predictability and transferability of local biodiversity environment relationships.

BackgroundBiodiversity varies in space and time, and often in response to environmental heterogeneity. Indicators in the form of local biodiversity measures–such as species richness or abundance–are common tools to capture this variation. The rise of readily available remote sensing data has enabled the characterization of environmental heterogeneity in a globally robust and replicable manner. Based on the assumption that differences in biodiversity measures are generally related to differences in environmental heterogeneity, these data have enabled projections and extrapolations of biodiversity in space and time. However so far little work has been done on quantitatively evaluating if and how accurately local biodiversity measures can be predicted.MethodsHere I combine estimates of biodiversity measures from terrestrial local biodiversity surveys with remotely-sensed data on environmental heterogeneity globally. I then determine through a cross-validation framework how accurately local biodiversity measures can be predicted within (“predictability”) and across similar (“transferability”) biodiversity surveys.ResultsI found that prediction errors can be substantial, with error magnitudes varying between different biodiversity measures, taxonomic groups, sampling techniques and types of environmental heterogeneity characterizations. And although errors associated with model predictability were in many cases relatively low, these results question–particular for transferability–our capability to accurately predict and project local biodiversity measures based on environmental heterogeneity. I make the case that future predictions should be evaluated based on their accuracy and inherent uncertainty, and ecological theories be tested against whether we are able to make accurate predictions from local biodiversity data.

Enabling water-based processing of graphene/alumina composites using an infiltration approach with amphiphilic triblock copolymers

Enabling the direct infiltration of freeze-cast graphene structures with water-based ceramic suspensions, otherwise prevented by graphene’s intrinsic hydrophobic behaviour, can lead to the production of hierarchical graphene/ceramic composites in a cost-effective and replicable manner. In this study, the addition of a triblock copolymer (PF127) in the formulation of water-based alumina slurries was used to allow the integration with reduced graphene oxide (rGO) scaffolds combining freeze-casting, wet chemistry processing and Spark Plasma Sintering. Wettability and infiltration tests were performed to optimise the composition of the ceramic suspension, leading to the preservation of alignment in embedded rGO scaffolds and maintaining channel widths of 5–15▒μm upon sintering at 1500∘ C.

Ten questions concerning positive energy districts

Positive Energy Districts (PEDs) constitute an emerging energy transition paradigm, with an ambitious timeline for rapid upscaling to match the urgency of climate mitigation and adaptation. Increasingly networked and coordinated actors aim to realise 100 PEDs across Europe by 2025. This resonates with the mission orientation turn of the European Green New Deal, to inspire and enable target-driven innovation. Yet it raises questions that have long perplexed scholars and practitioners in energy transitions: how can rapid diffusion be achieved in a sustained and replicable manner in diverse socio-technical contexts? Identifying the key questions to address and implement fit-to-purpose solutions within short-term project timescales is essential in order to mainstream PEDs. Such solutionism must be accompanied by a healthy dose of scepticism, in order to avoid undesirable outcomes such as exacerbated inequalities, societal backlash, and spatial displacement of invisible burdens. But it also requires proactive sharing of experiences, responsive learning and dissemination, and cooperation across sectors and disciplines. In this timely contribution, thirteen researchers from nine European countries flag ten questions concerning PEDs, and offer preliminary responses in line with cutting-edge insights informed by science and practice. This contribution draws on multidisciplinary competence in steering the Positive Energy Districts European Network, and aims to make emerging knowledge widely available, while also inviting constructive critique and engagement within the PED arena which features a broad range of diverse stakeholders. Authors highlight key pathways forward for a rapid, far-reaching translation of the ambitious PEDs agenda into multi-sited, district-scale beacons of sustainable energy transition.

VPMBench: a test bench for variant prioritization methods

BackgroundClinical diagnostics of whole-exome and whole-genome sequencing data requires geneticists to consider thousands of genetic variants for each patient. Various variant prioritization methods have been developed over the last years to aid clinicians in identifying variants that are likely disease-causing. Each time a new method is developed, its effectiveness must be evaluated and compared to other approaches based on the most recently available evaluation data. Doing so in an unbiased, systematic, and replicable manner requires significant effort.ResultsThe open-source test bench “VPMBench” automates the evaluation of variant prioritization methods. VPMBench introduces a standardized interface for prioritization methods and provides a plugin system that makes it easy to evaluate new methods. It supports different input data formats and custom output data preparation. VPMBench exploits declaratively specified information about the methods, e.g., the variants supported by the methods. Plugins may also be provided in a technology-agnostic manner via containerization.ConclusionsVPMBench significantly simplifies the evaluation of both custom and published variant prioritization methods. As we expect variant prioritization methods to become ever more critical with the advent of whole-genome sequencing in clinical diagnostics, such tool support is crucial to facilitate methodological research.

Comparative case study research: an international analysis of nine home warranty schemes

PurposeConstruction defects in residential buildings are causing significant impacts both on consumers and the industry. As a consequence, several countries have established new home warranty schemes. However, designing a public policy for domestic building warranties can become a difficult task. In fact, many of these programs in the past have failed, collapsed or gone bankrupt. Therefore, the purpose of the current research is to provide a systematic comparative representation of various active programs internationally.Design/methodology/approachThe methodology relied on a multiple-case study research design. The case selection covered a total of nine jurisdictions with compulsory home warranty programs. Those included Japan, France, United Kingdom, three provinces in Canada (Ontario, British Columbia and Alberta), and three states in Australia (New South Wales, Victoria and Queensland). The study applied a data collection protocol to gather all the evidence in a replicable manner for each individual case. Subsequently, a cross-case analysis was conducted to identify similarities and variations between programs.FindingsThe findings unveiled institutional practices that aimed to resolve, compensate, or rectify defects in residential constructions within these countries. The review mostly suggested that every home warranty program presents certain unique characteristics. At the end, this paper proposed an analytical illustration representing the diversification of components adopted by each jurisdiction.Originality/valueNowadays, there is still not a consensus within the academic community on what is an optimal solution when conceiving a new home warranty program. Hence, the current study aims to fill this knowledge gap by presenting the plurality of methods employed by several countries. This paper seeks to help policy makers and industry leaders to improve their home warranty scheme based on awareness derived from observations and analyses of what has been accomplished elsewhere in the world.

Large and interacting effects of temperature and nutrient addition on stratified microbial ecosystems in a small, replicated, and liquid-dominated Winogradsky column approach.

Aquatic ecosystems are often stratified, with cyanobacteria in oxic layers and phototrophic sulfur bacteria in anoxic zones. Changes in stratification caused by the global environmental change are an ongoing concern. Increasing understanding of how such aerobic and anaerobic microbial communities, and associated abiotic conditions, respond to multifarious environmental changes is an important endeavor in microbial ecology. Insights can come from observational and experimental studies of naturally occurring stratified aquatic ecosystems, theoretical models of ecological processes, and experimental studies of replicated microbial communities in the laboratory. Here, we demonstrate a laboratory‐based approach with small, replicated, and liquid‐dominated Winogradsky columns, with distinct oxic/anoxic strata in a highly replicable manner. Our objective was to apply simultaneous global change scenarios (temperature, nutrient addition) on this micro‐ecosystem to report how the microbial communities (full‐length 16S rRNA gene seq.) and the abiotic conditions (O2, H2S, TOC) of the oxic/anoxic layer responded to these environmental changes. The composition of the strongly stratified microbial communities was greatly affected by temperature and by the interaction of temperature and nutrient addition, demonstrating the need of investigating global change treatments simultaneously. Especially phototrophic sulfur bacteria dominated the water column at higher temperatures and may indicate the presence of alternative stable states. We show that the establishment of such a micro‐ecosystem has the potential to test global change scenarios in stratified eutrophic limnic systems.