Platform For Adaptation Research Articles

ВАЖЛИВІСТЬ ЦИФРОВОГО МАРКЕТИНГУ ДЛЯ ТОРГІВЕЛЬНИХ ПІДПРИЄМСТВ

In a fast-paced and ever-changing world, learning and applying digital marketing is becoming vital for companies seeking to remain relevant and competitive. For companies specialising in consumer goods, the importance of digital marketing is particularly important, as it is not only a way to attract new customers and maintain relationships with existing audiences, but also a platform for innovation and adaptation to changing market conditions. The purpose of the study is to identify the key provisions on the main digital marketing tools available in the given period of time, to identify which of them are the most effective and to propose methods of their implementation for retailers. The research objective was achieved by using statistical data collected from digital platforms to analyse consumer preferences for different forms of shopping. This included a review of services that provide delivery of goods from various retailers in order to identify their impact on the development of digital marketing. In this context, we propose advanced digital marketing strategies designed to help businesses develop their competitive advantage by increasing customer appeal and improving e-commerce management. This approach ensures effective adaptation to dynamic changes in the market environment and a quick response to current trends, making strategic management more flexible and highly efficient.

IoT Cloud-Edge Reconfigurable Mixed-Signal Smart Meter Platform for Arc Fault Detection

Smart meter monitors electricity consumption through modern metering devices connected to the Internet via Internet of Things (IoT) technology, which can provide intelligent and fast applications on-site such as arc fault protection based on nonintrusive monitoring load classification with fast safety responses for varying electric loads. Traditional three, four, and five layers of the IoT architecture cannot support such fast responses under loading variation. This article aims to propose six layers of IoT Cloud-Edge Infrastructure equipped with a reconfigurable mixed-signal controller as a smart meter platform for adaptation to different environments and, for example, deal with fast arc fault detection corresponding to different load characteristics. Such an architecture can reduce the processing time for safety, reduce bandwidth for communication, improve arc detection accuracy under different loading environments, and lower the overall computation cost.

Phantom-based Quality Assurance of a Clinical Dose Accumulation Technique Used in an Online Adaptive Radiation Therapy Platform

This study aimed to develop a routine quality assurance method for a dose accumulation technique provided by a radiation therapy platform for online treatment adaptation. Two commonly used phantoms were selected for the dose accumulation QA: Electron density and anthropomorphic pelvis. On a computed tomography (CT) scan of the electron density phantom, 1 target (gross tumor volume [GTV]; insert at 6 o'clock), a subvolume within this target, and 7 organs at risk (OARs; other inserts) were contoured in the treatment planning system (TPS). Two adaptation sessions were performed in which the GTV was recontoured, first at 7 o'clock and then at 5 o'clock. The accumulated dose was exported from the TPS after delivery. Deformable vector fields were also exported to manually accumulate doses for comparison. For the pelvis phantom, synthetic Gaussian deformations were applied to the planning CT image to simulate organ changes. Two single-fraction adaptive plans were created based on the deformed planning CT and cone beam CT images acquired onboard the radiation therapy platform. A manual dose accumulation was performed after delivery using the exported deformable vector fields for comparison with the system-generated result. All plans were successfully delivered, and the accumulated dose was both manually calculated and derived from the TPS. For the electron density phantom, the average mean dose differences in the GTV, boost volume, and OARs 1 to 7 were 0.0%, -0.2%, 92.0%, 78.4%, 1.8%, 1.9%, 0.0%, 0.0%, and 2.3%, respectively, between the manually summed and platform-accumulated doses. The gamma passing rates for the 3-dimensional dose comparison between the manually generated and TPS-provided dose accumulations were >99% for both phantoms. This study demonstrated agreement between manually obtained and TPS-generated accumulated doses in terms of both mean structure doses and local 3-dimensional dose distributions. Large disagreements were observed for OAR1 and OAR2 defined on the electron density phantom due to OARs having lower deformation priority over the target in addition to artificially large changes in position induced for these structures fraction-by-fraction. The tests applied in this study to a commercial platform provide a straightforward approach toward the development of routine quality assurance of dose accumulation in online adaptation.

B2S4B: A Platform for Smart City Business Processes Management and Adaptation

B2S4B: A Platform for Smart City Business Processes Management and Adaptation

A novel automated morphological analysis of Iba1+ microglia using a deep learning assisted model.

There is growing evidence for the key role of microglial functional state in brain pathophysiology. Consequently, there is a need for efficient automated methods to measure the morphological changes distinctive of microglia functional states in research settings. Currently, many commonly used automated methods can be subject to sample representation bias, time consuming imaging, specific hardware requirements and difficulty in maintaining an accurate comparison across research environments. To overcome these issues, we use commercially available deep learning tools Aiforia® Cloud (Aifoira Inc., Cambridge, MA, United States) to quantify microglial morphology and cell counts from histopathological slides of Iba1 stained tissue sections. We provide evidence for the effective application of this method across a range of independently collected datasets in mouse models of viral infection and Parkinson’s disease. Additionally, we provide a comprehensive workflow with training details and annotation strategies by feature layer that can be used as a guide to generate new models. In addition, all models described in this work are available within the Aiforia® platform for study-specific adaptation and validation.

Function of Nuclear Pore Complexes in Regulation of Plant Defense Signaling.

In eukaryotes, the nucleus is the regulatory center of cytogenetics and metabolism, and it is critical for fundamental biological processes, including DNA replication and transcription, protein synthesis, and biological macromolecule transportation. The eukaryotic nucleus is surrounded by a lipid bilayer called the nuclear envelope (NE), which creates a microenvironment for sophisticated cellular processes. The NE is perforated by the nuclear pore complex (NPC), which is the channel for biological macromolecule bi-directional transport between the nucleus and cytoplasm. It is well known that NPC is the spatial designer of the genome and the manager of genomic function. Moreover, the NPC is considered to be a platform for the continual adaptation and evolution of eukaryotes. So far, a number of nucleoporins required for plant-defense processes have been identified. Here, we first provide an overview of NPC organization in plants, and then discuss recent findings in the plant NPC to elaborate on and dissect the distinct defensive functions of different NPC subcomponents in plant immune defense, growth and development, hormone signaling, and temperature response. Nucleoporins located in different components of NPC have their unique functions, and the link between the NPC and nucleocytoplasmic trafficking promotes crosstalk of different defense signals in plants. It is necessary to explore appropriate components of the NPC as potential targets for the breeding of high-quality and broad spectrum resistance crop varieties.

Evolution and diversification of the nuclear pore complex.

The nuclear pore complex (NPC) is responsible for transport between the cytoplasm and nucleoplasm and one of the more intricate structures of eukaryotic cells. Typically composed of over 300 polypeptides, the NPC shares evolutionary origins with endo-membrane and intraflagellar transport system complexes. The modern NPC was fully established by the time of the last eukaryotic common ancestor and, hence, prior to eukaryote diversification. Despite the complexity, the NPC structure is surprisingly flexible with considerable variation between lineages. Here, we review diversification of the NPC in major taxa in view of recent advances in genomic and structural characterisation of plant, protist and nucleomorph NPCs and discuss the implications for NPC evolution. Furthermore, we highlight these changes in the context of mRNA export and consider how this process may have influenced NPC diversity. We reveal the NPC as a platform for continual evolution and adaptation.

Enhancing resilience through capacity building in LCCAP formulation in the local government of Aurora, Philippines

Climate Disaster Risk Assessment (CDRA) and Local Climate Change Action Plan (LCCAP) provide the scientific and legal platform for climate change adaptation and mitigation in the Philippines. This APN CAPaBLE project responds to the limited technical capacity of local government units (LGUs) to comply with this requirement through collaborative capacity building. Evaluation of CDRA and LCCAP led to a National Interagency Technical and Policy Forum to formulate action plans and fast-track preparations. The initial stage of the project demonstrated collaborative advantage as a condition for mobilizing human and financial resources was enabled. Collaborative inertia set in once the technical limitations of Aurora LGUs surfaced to complete the CDRA. This mirrored the results of the institutional capacity survey, administered to 87 disaster risk reduction and management Technical Working Group (TWG) members, highlighting the LGUs limitations in data availability and functional knowledge on climate change. Thus, a shift in capacity building strategy through focused mentoring and managing LGU expectations was done. The Aurora LGUs successfully completed its CDRA and LCCAP requirements through a lengthy and arduous process. It was acknowledged that CDRA preparation has a steep learning curve and competes heavily with other multiple functions and pressing demands from the LGUs. The national interagency forum resolution suggested that the CDRA be assigned to another government agency while LGUs shift capacity development initiatives to understanding and mainstreaming scientific assessment into local plans. The project experience highlights the difficult, yet promising, path to human security development and resilience building and underscored prudence and urgency of adaptation planning at the local level.

Mechanisms and Early Warning of Drought Disasters: Experimental Drought Meteorology Research over China

Abstract A major experimental drought research project entitled “Mechanisms and Early Warning of Drought Disasters over Northern China” (DroughtEX_China) was launched by the Ministry of Science and Technology of China in 2015. The objective of DroughtEX_China is to investigate drought disaster mechanisms and provide early-warning information via multisource observations and multiscale modeling. Since the implementation of DroughtEX_China, a comprehensive V-shape in situ observation network has been established to integrate different observational experiment systems for different landscapes, including crops in northern China. In this article, we introduce the experimental area, observational network configuration, ground- and air-based observing/testing facilities, implementation scheme, and data management procedures and sharing policy. The preliminary observational and numerical experimental results show that the following are important processes for understanding and modeling drought disasters over arid and semiarid regions: 1) the soil water vapor–heat interactions that affect surface soil moisture variability, 2) the effect of intermittent turbulence on boundary layer energy exchange, 3) the drought–albedo feedback, and 4) the transition from stomatal to nonstomatal control of plant photosynthesis with increasing drought severity. A prototype of a drought monitoring and forecasting system developed from coupled hydroclimate prediction models and an integrated multisource drought information platform is also briefly introduced. DroughtEX_China lasted for four years (i.e., 2015–18) and its implementation now provides regional drought monitoring and forecasting, risk assessment information, and a multisource data-sharing platform for drought adaptation over northern China, contributing to the global drought information system (GDIS).

Optimizing the composition of a synthetic cellulosome complex for the hydrolysis of softwood pulp: identification of the enzymatic core functions and biochemical complex characterization

BackgroundThe development of efficient cellulase blends is a key factor for cost-effectively valorizing biomass in a new bio-economy. Today, the enzymatic hydrolysis of plant-derived polysaccharides is mainly accomplished with fungal cellulases, whereas potentially equally effective cellulose-degrading systems from bacteria have not been developed. Particularly, a thermostable multi-enzyme cellulase complex, the cellulosome from the anaerobic cellulolytic bacterium Clostridium thermocellum is promising of being applied as cellulolytic nano-machinery for the production of fermentable sugars from cellulosic biomass.ResultsIn this study, 60 cellulosomal components were recombinantly produced in E. coli and systematically permuted in synthetic complexes to study the function–activity relationship of all available enzymes on Kraft pulp from pine wood as the substrate. Starting from a basic exo/endoglucanase complex, we were able to identify additional functional classes such as mannanase and xylanase for optimal activity on the substrate. Based on these results, we predicted a synthetic cellulosome complex consisting of seven single components (including the scaffoldin protein and a β-glucosidase) and characterized it biochemically. We obtained a highly thermostable complex with optimal activity around 60–65 °C and an optimal pH in agreement with the optimum of the native cellulosome (pH 5.8). Remarkably, a fully synthetic complex containing 47 single cellulosomal components showed comparable activity with a commercially available fungal enzyme cocktail on the softwood pulp substrate.ConclusionsOur results show that synthetic bacterial multi-enzyme complexes based on the cellulosome of C. thermocellum can be applied as a versatile platform for the quick adaptation and efficient degradation of a substrate of interest.

Internationalisation trajectory influence on university social responsibility

A new socially responsible role of the university involves becoming an experimental platform for the adaptation of people with different cultural values and the development of multilateral cross-cultural interaction; that is to ensure inter-ethnic harmony and trust for education services at the global level. The existent literature relates to students perception of university social responsibility, but mostly opts out the power of university to adapt different cultures for a better balancing society. The presented research is to look at the factors affecting internationalisation paths as a strategic direction for the contemporary and innovative responsible university. The methodology is based on in-depth interviews with chosen academic experts. The students' perception was studied using a sample of 1,300 international students of Ural Federal University, Russia. The study outlines positive correlation between fast adaptation of international students and inclusive participation in social life of a university, at the same time a university involvement into the active global environment stimulates better international communities' engagement. The research is limited by a choice of university, although the sample data is quite representative.

PLACARD – Platform for Climate Adaptation and Risk reDuction – Horizon 2020 project

PLACARD – Platform for Climate Adaptation and Risk reDuction – Horizon 2020 project

Integrated modelling of crop production and nitrate leaching with the Daisy model

An integrated modelling strategy was designed and applied to the Soil-Vegetation-Atmosphere Transfer model Daisy for simulation of crop production and nitrate leaching under pedo-climatic and agronomic environment different than that of model original parameterisation. The points of significance and caution in the strategy are:•Model preparation should include field data in detail due to the high complexity of the soil and the crop processes simulated with process-based model, and should reflect the study objectives. Inclusion of interactions between parameters in a sensitivity analysis results in better account for impacts on outputs of measured variables.•Model evaluation on several independent data sets increases robustness, at least on coarser time scales such as month or year. It produces a valuable platform for adaptation of the model to new crops or for the improvement of the existing parameters set. On daily time scale, validation for highly dynamic variables such as soil water transport remains challenging.•Model application is demonstrated with relevance for scientists and regional managers. The integrated modelling strategy is applicable for other process-based models similar to Daisy. It is envisaged that the strategy establishes model capability as a useful research/decision-making, and it increases knowledge transferability, reproducibility and traceability.

The Evolution and Dissemination of the Education in Palliative and End-of-Life Care Program.

Even with growing numbers of fellowship-trained palliative care providers, primary palliative care knowledge and skills are needed to meet the national demands for palliative care. The Education in Palliative and End-of-Life Care (EPEC) Program has been one model of training clinicians in primary palliative care skills. In our second 5 years of development and dissemination, we have focused on adapting EPEC to different specialties. Our aim was to describe the development of EPEC adaptations and document the dissemination of our curriculum. The study design was a survey of EPEC trainers and documentation of other dissemination efforts via literature and Internet searches. Our subjects were all EPEC trainers and end-learners of our curriculum. We measured dissemination and teaching efforts by our trainers and evidence of EPEC use via literature and EPEC's searches. In Internet second 5 years of active development, teaching, and dissemination, we have created five major adaptations (EPEC-Oncology, EPEC-Oncology-Canada, EPEC-Emergency Medicine, EPEC-India, and EPEC for Veterans) and trained more than 1000 trainers. Through the efforts of these Trainers and our online dissemination, more than 74,000 reported end-learners have been taught parts of the EPEC curriculum. In addition, we discovered multiple medical school courses, continuing medical education (CME), courses and specialty guidelines that have incorporated material from EPEC. In its second 5 years, EPEC remains a robust platform for adaptation to new specialties and for dissemination of primary palliative care knowledge.

Calonectria diseases on ornamental plants in Europe and the Mediterranean basin: an overview.

Species of Calonectria and their cylindrocladium-like asexual morphs are important plant pathogens of agronomic and forestry crops, especially in the tropical and subtropical regions of the world. Calonectria species have been associated with a wide range of disease symptoms on a large number of plant hosts. On horticultural crops, most records of Calonectria species come from the Northern Hemisphere, where they occur mainly in gardens and ornamental nurseries. In Europe and the Mediterranean basin, several species are widespread in nurseries and cause extensive damage to ornamental plants. In the past, identification of species was based on phenotypic characters and sexual compatibility using standardised media. More recently, morphological characteristics, phylogenetic studies (DNA sequence data of the β-tubulin, histone H3 and translation elongation factor-1α gene regions) and mating studies have revealed the presence of several cryptic species complexes that were formerly treated as single Calonectria species. These studies resulted in the introduction of several new species. Other studies aimed at understanding environmental sustainability focused attention on soil solarisation and biological control as means for controlling these pathogens. The potential use of biological control agents (BCAs) and chemicals for controlling Calonectria-induced diseases has recently been addressed. In this review we discuss the Calonectria species detected in Europe and the Mediterranean basin, and the disease management strategies. In view of the mandatory implementation of integrated pest management (IPM) for all European countries by 2014, this paper provides basic information as a platform for the adaptation of more sustainable integrated measures to control Calonectria diseases in European nurseries.

Good practice in reviewing and publishing studies on herbal medicine, with special emphasis on traditional Chinese medicine and Chinese materia medica

Ethnopharmacological relevanceStudies on traditional Chinese medicine (TCM), like those of other systems of traditional medicine (TM), are very variable in their quality, content and focus, resulting in issues around their acceptability to the global scientific community. In an attempt to address these issues, an European Union funded FP7 consortium, composed of both Chinese and European scientists and named “Good practice in traditional Chinese medicine” (GP-TCM), has devised a series of guidelines and technical notes to facilitate good practice in collecting, assessing and publishing TCM literature as well as highlighting the scope of information that should be in future publications on TMs. This paper summarises these guidelines, together with what has been learned through GP-TCM collaborations, focusing on some common problems and proposing solutions. The recommendations also provide a template for the evaluation of other types of traditional medicine such as Ayurveda, Kampo and Unani. Materials and methodsGP-TCM provided a means by which experts in different areas relating to TCM were able to collaborate in forming a literature review good practice panel which operated through e-mail exchanges, teleconferences and focused discussions at annual meetings. The panel involved coordinators and representatives of each GP-TCM work package (WP) with the latter managing the testing and refining of such guidelines within the context of their respective WPs and providing feedback. ResultsA Good Practice Handbook for Scientific Publications on TCM was drafted during the three years of the consortium, showing the value of such networks. A “deliverable – central questions – labour division” model had been established to guide the literature evaluation studies of each WP. The model investigated various scoring systems and their ability to provide consistent and reliable semi-quantitative assessments of the literature, notably in respect of the botanical ingredients involved and the scientific quality of the work described. This resulted in the compilation of (i) a robust scoring system and (ii) a set of minimum standards for publishing in the herbal medicines field, based on an analysis of the main problems identified in published TCM literature. ConclusionGood quality, peer-reviewed literature is crucial in maintaining the integrity and the reputation of the herbal scientific community and promoting good research in TCM. These guidelines provide a clear starting point for this important endeavour. They also provide a platform for adaptation, as appropriate, to other systems of traditional medicine.

SOAdapt: A process reference model for developing adaptable service-based applications

Context The loose coupling of services and Service-Based Applications (SBAs) have made them the ideal platform for context-based run-time adaptation. There has been a lot of research into implementation techniques for adapting SBAs, without much effort focused on the software process required to guide the adaptation. Objective This paper aims to bridge that gap by providing an empirically grounded software process model that can be used by software practitioners who want to build adaptable SBAs. The process model will focus only on the adaptation specific issues. Method The process model presented in this paper is based on data collected through interviews with 10 practitioners occupying various roles within eight different companies. The data was analyzed using qualitative data analysis techniques. We used the output to develop a set of activities, tasks, stakeholders and artifacts that were used to construct the process model. Results The outcome of the data analysis process was a process model identifying nine sets of adaptation process attributes. These can be used in conjunction with an organisation’s existing development life-cycle or another reference life-cycle. Conclusion The process model developed in this paper provides a solid reference for practitioners who are planning to develop adaptable SBAs. It has advantages over similar approaches in that it focuses on software process rather than the specific adaptation mechanism implementation techniques.

Assessment of rare dietary risks based on analysis of food combinations

Probabilistic methods, in particular Monte Carlo methods, have become widely used in assessment of dietary risks from plant protection products. However, if the critical exposure occurs rarely, estimating its probability with commonly used Monte Carlo approaches can require an unrealistically big number of iterations. A simple method proposed in this paper, referred to as food combination analysis (FCA), finds out subsets of input values necessary for occurrence of a critical exposure event. In particular, for a critical event to occur consumption of a certain combination of contaminated foods could be required. Sometimes by finding the probability that such a food combination is consumed one could directly get an acceptable estimate of the risk, without Monte Carlo simulations. The method performs especially well if available data sets of consumed amounts of foods and residue concentrations of a chemical contain a large fraction of zeros. Based on a literature example, it is shown that the probability of the critical exposure estimated with the FCA could be more than 10 times lower than the estimate of a Monte Carlo approach with 50,000 iterations. The present approach also provides a platform for adaptation and development of more sophisticated methods to estimate low dietary risks.

Live imaging of Drosophila imaginal disc development.

Live imaging has revolutionized the analysis of developmental biology over the last few years. The ability to track in real time the dynamic processes that occur at tissue and cellular levels gives a much clearer view of development, and allows greater temporal resolution, than is possible with fixed tissue. Drosophila imaginal discs are a particularly important model of many aspects of development, but their small size and location inside the larva and pupa has prevented live imaging techniques from extensively being used in their study. Here, we introduce the use of viscous culture medium to enable high resolution imaging of imaginal disc development. As a proof of principle, we have analyzed the transformation that occurs during metamorphosis of the wing imaginal disc into the mature wing and report several previously unobserved stages of this model of organogenesis. These imaging methods are especially useful to study the complex and dynamic changes that occur during morphogenesis, but we show that they can also be used to analyze other developmental and cellular events. Moreover, our viscous medium creates a platform for future adaptation of other tissue culture conditions to allow imaging of a wide range of developmental events and systems.

NinSuna: a fully integrated platform for format-independent multimedia content adaptation and delivery using Semantic Web technologies

The current multimedia landscape is characterized by a significant heterogeneity in terms of coding and delivery formats, usage environments, and user preferences. The main contribution of this paper is a discussion of the design and functioning of a fully integrated platform for multimedia adaptation and delivery, called NinSuna. This platform is able to efficiently deal with the aforementioned heterogeneity in the present-day multimedia ecosystem, thanks to the use of format-agnostic adaptation engines (i.e., engines independent of the underlying coding format) and format-agnostic packaging engines (i.e., engines independent of the underlying delivery format). Moreover, NinSuna also provides a seamless integration between metadata standards and adaptation processes. Both our format-independent adaptation and packaging techniques rely on a model for multimedia bitstreams, describing the structural, semantic, and scalability properties of these multimedia streams. News sequences were used as a test case for our platform, enabling the user to select news fragments matching his/her specific interests and usage environment characteristics.