Interoperable Platform Research Articles

BridgeDb and Wikidata: a powerful combination generating interoperable open research (BridgeDb)

Like humans have a unique social security number and different phone numbers from various providers, so do proteins and metabolites have a unique structure but different identifiers from various databases. BridgeDb is an interoperability platform that allows combining these databases, by matching database-specific identifiers. These matches are called identifier mappings, and they are indispensable when combining experimental (omics) data with knowledge in reference databases. BridgeDb takes care of this interoperability between gene, protein, metabolite, and other databases, thus enabling seamless integration of many knowledge bases and wet-lab results. Since databases get updated continuously, so should the Open Science BridgeDb project.

Feeding habits and multifunctional classification of soil‐associated consumers from protists to vertebrates

ABSTRACTSoil organisms drive major ecosystem functions by mineralising carbon and releasing nutrients during decomposition processes, which supports plant growth, aboveground biodiversity and, ultimately, human nutrition. Soil ecologists often operate with functional groups to infer the effects of individual taxa on ecosystem functions and services. Simultaneous assessment of the functional roles of multiple taxa is possible using food‐web reconstructions, but our knowledge of the feeding habits of many taxa is insufficient and often based on limited evidence. Over the last two decades, molecular, biochemical and isotopic tools have improved our understanding of the feeding habits of various soil organisms, yet this knowledge is still to be synthesised into a common functional framework. Here, we provide a comprehensive review of the feeding habits of consumers in soil, including protists, micro‐, meso‐ and macrofauna (invertebrates), and soil‐associated vertebrates. We have integrated existing functional group classifications with findings gained with novel methods and compiled an overarching classification across taxa focusing on key universal traits such as food resource preferences, body masses, microhabitat specialisation, protection and hunting mechanisms. Our summary highlights various strands of evidence that many functional groups commonly used in soil ecology and food‐web models are feeding on multiple types of food resources. In many cases, omnivory is observed down to the species level of taxonomic resolution, challenging realism of traditional soil food‐web models based on distinct resource‐based energy channels. Novel methods, such as stable isotope, fatty acid and DNA gut content analyses, have revealed previously hidden facets of trophic relationships of soil consumers, such as food assimilation, multichannel feeding across trophic levels, hidden trophic niche differentiation and the importance of alternative food/prey, as well as energy transfers across ecosystem compartments. Wider adoption of such tools and the development of open interoperable platforms that assemble morphological, ecological and trophic data as traits of soil taxa will enable the refinement and expansion of the multifunctional classification of consumers in soil. The compiled multifunctional classification of soil‐associated consumers will serve as a reference for ecologists working with biodiversity changes and biodiversity–ecosystem functioning relationships, making soil food‐web research more accessible and reproducible.

Task Allocation Among Connected Devices: Requirements, Approaches, and Challenges

Task allocation (TA) is essential when deploying application tasks to systems of connected devices with dissimilar and time-varying characteristics. The challenge of an efficient TA is to assign the tasks to the best devices, according to the context and task requirements. The main purpose of this paper is to study the different connotations of the concept of TA efficiency, and the key factors that most impact on it, so that relevant design guidelines can be defined. The paper first analyzes the domains of connected devices where TA has an important role, which brings to this classification: Internet of Things (IoT), Sensor and Actuator Networks (SAN), Multi-Robot Systems (MRS), Mobile Crowdsensing (MCS), and Unmanned Aerial Vehicles (UAV). The paper then demonstrates that the impact of the key factors on the domains actually affects the design choices of the state-of-the-art TA solutions. It results that resource management has most significantly driven the design of TA algorithms in all domains, especially IoT and SAN. The fulfillment of coverage requirements is important for the definition of TA solutions in MCS and UAV. Quality of Information requirements are mostly included in MCS TA strategies, similar to the design of appropriate incentives. The paper also discusses the issues that need to be addressed by future research activities, i.e.: allowing interoperability of platforms in the implementation of TA functionalities; introducing appropriate trust evaluation algorithms; extending the list of tasks performed by objects; designing TA strategies where network service providers have a role in TA functionalities’ provisioning.

Survey on Blockchain-Based IoT Payment and Marketplaces

The ever-growing smart applications will expand the Internet of Things (IoT) ecosystem to connect over 75 billion devices by 2025. IoT ecosystems comprise sensors that act as data suppliers and applications where monetary transactions are required to compensate the data producers. This signifies the importance of IoT payments and marketplaces to facilitate micro-transactions of billions of connected devices in the IoT ecosystem, which is heterogeneous, decentralized, and diverse. However, realizing such an ecosystem raises multiple challenges such as overcoming poor inter-operability, resource constraints, and security and privacy vulnerabilities of IoT devices and platforms. Blockchain is a Distributed Ledger Technology (DLT) that can be identified as a potential solution to overcome the challenges in realizing IoT payments and marketplaces. This is due to the characteristics of blockchain such as decentralization, traceability, immutability, and non-repudiation. This paper presents a comprehensive survey on blockchain-based IoT payments and marketplaces. This paper provides a brief introduction to the concepts of IoT payments and IoT marketplaces. Then the technical challenges involved in realizing IoT payment and marketplaces are discussed by highlighting the blockchain-based solutions. Furthermore, blockchain-based smart applications which use IoT marketplace and IoT payment concepts are presented marking the role of blockchain in each of the application. Subsequently, the paper discussed the integration challenges while also highlighting possible solutions. It is envisaged that this paper would shed light on the development of blockchain-based solutions to realize IoT payments and marketplaces.

Advances on networked ehealth information access and sharing: Status, challenges and prospects

Internet of Medical Things (IoMT) is no longer a futuristic technology and has become a day-to-day reality with the increasing ease of availing modern internet services. IoMT services interconnect numerous healthcare ecosystem stakeholders, such as doctors, patients, pharmacists, etc., seamlessly under the light of Advanced Internet Communication Tools (AICT). Wireless Body Area Network (WBAN) is a primary constituent of any IoMT device, offering a data acquisition environment through various bio-sensors deployed in edge devices. The data generated through such edge devices should be stored securely in Electronic Health Server (EHS) for further analysis and knowledge inference by medical professionals. Thus designing access control techniques that prevent unauthorised access at the cloud and device level is crucial. Interoperability concern in the IoMT development cycle is becoming a focus of interest for many researchers because most devices and underlying protocols are highly heterogeneous. Lack of worldwide acceptable protocol standards is another major issue in dealing with platform interoperability. In this study, the authors describe the various existing device and data access control strategies such as RBAC (Role Based Access Controlling), CaPBAC (Capability-Based Access Controlling), and ABAC (Attribute-Based Access Controlling), etc. This article majorly surveys the literature from 2000 to 2020 on various access controlling and Interoperability aspects as they are potential players of modern IoT applications. The study also comprehensively discusses the state-of-the-art strategies that provide platform interoperability followed by crucial implementation challenges. CCS CONCEPTS • General and reference→Surveys and overview;• Access Control→Access control strategies; • Interoperability→ patterns

COVID-19 and the global acceleration of digital psychiatry

COVID-19 and the global acceleration of digital psychiatry

Environmental and economic multi-objective optimisation of synthetic fuels production via an integrated methodology based on process simulation

Process simulation, life cycle assessment (LCA) and techno-economic analysis (TEA) methodologies are extensively used, but not well interlinked. The analyst performs LCA or TEA over a set of predefined rigid scenarios. This work proposes a novel Python framework, eco2des, which is a holistic and interoperable platform for sustainable-oriented optimisation of industrial processes. The studied system is a biorefinery for the coproduction of biofuels and electricity based on biomass gasification. Mass and energy balances are automatically generated mainly through a process simulation and used to evaluate the life cycle environmental and economic performance of the plant. Two multi-objective optimisation problems were built in the eco2des platform to minimise global warming potential and maximise the net present value and kerosene production. The results show that the economic performance is improved when the system tends to the production of excess hydrogen, while the environmental performance improves when electricity generation is prioritised.

RaDiCo, the French national research program on rare disease cohorts

BackgroundRare diseases (RDs) affect nearly 3 million people in France and at least 26–30 million people in Europe. These diseases, which represent a major medical concern, are mainly of genetic origin, often chronic, progressive, degenerative, life threatening and disabling, accounting for more than one third of all deaths occurring during infancy. In this context, there are needs for coordinated information on RDs at national/international levels, based on high quality, interoperable and sharable data. The main objective of the RaDiCo (Rare Disease Cohorts) program, coordinated by Inserm, was the development of RD e-cohorts via a national platform. The cohort projects were selected through a national call in 2014. The e-cohorts are supported by an interoperable platform, equivalent to an infrastructure, constructed on the "cloud computing" principle and in compliance with the European General Data Protection Regulation. It is dedicated to allow a continuous monitoring of data quality and consistency, in line with the French Health Data Hub.ResultsDepending on cohorts, the objectives are to describe the natural history of the studied RD(s), identify the underlying disease genes, establish phenotype-genotype correlations, decipher their pathophysiology, assess their societal and medico-economic impact, and/or identify patients eligible for new therapeutic approaches. Inclusion of prevalent and incident cases started at the end of 2016. As of April 2021, 5558 patients have been included within 13 RD e-cohorts covering 67 diseases integrated in 10 European Reference Networks and contributing to the European Joint Program on RDs. Several original results have been obtained in relation with the secondary objectives of the RaDiCo cohorts. They deal with discovery of new disease genes, assessment of treatment management, deciphering the underlying pathophysiological mechanisms, diagnostic approaches, genotype–phenotype relationships, development and validation of questionnaires relative to disease burden, or methodological aspects.ConclusionRaDiCo currently hosts 13 RD e-cohorts on a sharable and interoperable platform constructed on the “cloud computing” principle. New RD e-cohorts at the European and international levels are targeted.

Why and how informatics and applied computing can still create structural changes and competitive advantage

Purpose In the new digital age, enterprises are facing an increasing global competition. In this paper, we first examine how Information Technology (IT) can play an important role in giving significant competitive advantage in the modern enterprises. The business value of IT is examined, as well as the limitations and the trade-offs that its applicability faces. Next, we present the basic principles for a successful IT strategy, considering the development of a long-term IT renovation plan, the strategic alignment of IT with the business strategy, and the adoption of an integrated, distributed, and interoperable IT platform. Finally, we examine how a highly functional and efficient IT organization can be developed. Design/methodology/approach Our methodological approach was based to the answers of the following questions: 1. Does IT still matter? 2. What is the business value created by IT along with the corresponding limitations and trade-offs? 3. How could a successful IT Strategy be build up? 4. How could an effective? T planning aligned with the business strategy be build up? 5. How could a homogenized and distributed corporate IT platform be developed? and finally, 6. How could a high-performance IT-enabled enterprise be build up? Findings The enterprises in order to succeed in the new digital area need to: 1. synchronize their IT strategy with their business strategy, 2. formulate a long-term IT strategy, 3. adopt IT systems and solutions that are implemented with elasticity, interoperability, distribution, and service-orientation. 4. keep a strategic direction towards the creation of an exceptional organization based on IT. Originality/value This paper is original with respect to the integrated approach the overall problem is examined. There is a prototype combined investigation of all perspectives for an effective enforcement of IT in a way that causes acceleration in competitive advantage when conducting business.

A scalable, secure, and interoperable platform for deep data-driven health management

The large amount of biomedical data derived from wearable sensors, electronic health records, and molecular profiling (e.g., genomics data) is rapidly transforming our healthcare systems. The increasing scale and scope of biomedical data not only is generating enormous opportunities for improving health outcomes but also raises new challenges ranging from data acquisition and storage to data analysis and utilization. To meet these challenges, we developed the Personal Health Dashboard (PHD), which utilizes state-of-the-art security and scalability technologies to provide an end-to-end solution for big biomedical data analytics. The PHD platform is an open-source software framework that can be easily configured and deployed to any big data health project to store, organize, and process complex biomedical data sets, support real-time data analysis at both the individual level and the cohort level, and ensure participant privacy at every step. In addition to presenting the system, we illustrate the use of the PHD framework for large-scale applications in emerging multi-omics disease studies, such as collecting and visualization of diverse data types (wearable, clinical, omics) at a personal level, investigation of insulin resistance, and an infrastructure for the detection of presymptomatic COVID-19.

Open Forest Data: Digitalizing and building an online repository

Poland is characterised by a relatively high variety of living organisms attributed to terrestrial and water environments. Currently, close to 57.000 species of living organisms are described that occur in Poland (Symonides 2008), including lowland and mountain species, those attributed to oceanic and continental areas, as well as species from forested and open habitats. Poland comprehensively represents biodiversity of living organisms on a continental scale and thus, is considered to have an important role for biodiversity maintenance. The Mammal Research Institute of Polish Academy of Sciences (MRI PAS), located in Białowieża Forest, a UNESCO Heritage Site, has been collecting biodiversity data for 90 years. However, a great amount of data gathered over the years, especially old data, is gradually being forgotten and hard to access. Old catalogues and databases have never been digitalized or publicly shared, and not many Polish scientists are aware of the existence of such resources, not to mention the rest of the scientific world. Recognizing the need for an online, interoperable platform, following FAIR data principles (findable, accessible, interoperable, reusable), where biodiversity and scientific data can be shared, MRI PAS took a lead in creation of an Open Forest Data (OFD) repository. OpenForestData.pl (Fig. 1) is a newly created (2020) digital repository, designed to provide access to natural sciences data and provide scientists with an infrastructure for storing, sharing and archiving their research outcomes. Creating such a platform is a part of an ongoing development of life sciences in Poland, aiming for an open, modern science, where data are published as free-access. OFD also allows for the consolidation of natural science data, enabling the use and processing of shared data, including API (Application Programming Interface) tools. OFD is indexed by the Directory of Open Repositories (OpenDOAR) and Registry of Research Data Repositories (re3data). The OFD platform is based entirely on reliable, globally recognized open source software: DATAVERSE, an interactive database app which supports sharing, storing, exploration, citation and analysis of scientific data; GEONODE, a content management geospatial system used for storing, publicly sharing and visualising vector and raster layers, GRAFANA, a system meant for storing and analysis of metrics and large scale measurement data, as well as visualisation of historical graphs at any time range and analysis for trends; and external tools for database storage (Orthanc) and data visualisation (Orthanc plugin Osimis Web Viewer and Online 3D Viewer (https://3dviewer.net/), which were integrated with the system mechanism of Dataverse. Furthermore, according to the need for specimen description, Darwin Core (Wieczorek et al. 2012) metadata schema was decided to be the most suitable for specimen and collections description and mapped into a Dataverse additional metadata block. The use of Darwin Core is based on the same file format, the Darwin Core Archive (DwC-A) which allows for sharing data using common terminology and provides the possibility for easy evaluation and comparison of biodiversity datasets. It allows the contributors to OFD to optionally choose Darwin Core for object descriptions making it possible to share biodiversity datasets in a standardized way for users to download, analyse and compare. Currently, OFD stores more than 10.000 datasets and objects from the collections of Mammal Research Institute of Polish Academy of Sciences and Forest Science Institute of Białystok University of Technology. The objects from natural collections were digitalized, described, catalogued and made public in free-access. OFD manages seven types of collection materials: 3D and 2D scans of specimen in Herbarium, Fungarium, Insect and Mammal Collections, images from microscopes (including stereoscopic and scanning electron microscopes), morphometric measurements, computed tomography and microtomography scans in Mammal Collection, mammal telemetry data, satellite imagery, geospatial climatic and environmental data, georeferenced historical maps. 3D and 2D scans of specimen in Herbarium, Fungarium, Insect and Mammal Collections, images from microscopes (including stereoscopic and scanning electron microscopes), morphometric measurements, computed tomography and microtomography scans in Mammal Collection, mammal telemetry data, satellite imagery, geospatial climatic and environmental data, georeferenced historical maps. In the OFD repository, researchers have the possibility to share data in standardized way, which nowadays is often a requirement during the publishing process of a scientific article. Beside scientists, OFD is designed to be open and free for students and specialists in nature protection, but also for officials, foresters and nature enthusiasts. Creation of the OFD repository supports the development of citizen science in Poland, increases visibility and access to published data, improves scientific collaboration, exchange and reuse of data within and across borders.

CitSci.org & PPSR Core: Sharing biodiversity observations across platforms

CitSci.org is a global citizen science software platform and support organization housed at Colorado State University. The mission of CitSci is to help people do high quality citizen science by amplifying impacts and outcomes. This platform hosts over one thousand projects and a diverse volunteer base that has amassed over one million observations of the natural world, focused on biodiversity and ecosystem sustainability. It is a custom platform built using open source components including: PostgreSQL, Symfony, Vue.js, with React Native for the mobile apps. CitSci sets itself apart from other Citizen Science platforms through the flexibility in the types of projects it supports rather than having a singular focus. This flexibility allows projects to define their own datasheets and methodologies. The diversity of programs we host motivated us to take a founding role in the design of the PPSR Core, a set of global, transdisciplinary data and metadata standards for use in Public Participation in Scientific Research (Citizen Science) projects. Through an international partnership between the Citizen Science Association, European Citizen Science Association, and Australian Citizen Science Association, the PPSR team and associated standards enable interoperability of citizen science projects, datasets, and observations. Here we share our experience over the past 10+ years of supporting biodiversity research both as developers of the CitSci.org platform and as stewards of, and contributors to, the PPSR Core standard. Specifically, we share details about: the origin, development, and informatics infrastructure for CitSci our support for biodiversity projects such as population and community surveys our experiences in platform interoperability through PPSR Core working with the Zooniverse, SciStarter, and CyberTracker data quality data sharing goals and use cases. the origin, development, and informatics infrastructure for CitSci our support for biodiversity projects such as population and community surveys our experiences in platform interoperability through PPSR Core working with the Zooniverse, SciStarter, and CyberTracker data quality data sharing goals and use cases. We conclude by sharing overall successes, limitations, and recommendations as they pertain to trust and rigor in citizen science data sharing and interoperability. As the scientific community moves forward, we show that Citizen Science is a key tool to enabling a systems-based approach to ecosystem problems.

Knowledge extraction using semantic similarity of concepts from Web of Things knowledge bases

The Internet of Things (IoT) is one of the rapidly growing technologies with the aim of establishing communication among objects, people, and processes. This rapidly growing technology faces a lot of challenges that hinder its wider adoption, specifically in developing applications that involve heterogeneous domains. Currently, developing such interoperable applications require substantial efforts by the developers to hard code the requirements to ensure the correctness of transferring knowledge. The efforts can be significantly reduced by developing an interoperable platform that ensures seamless communication between heterogeneous IoT devices. W3C Web of Things (WoT) is a significant step towards enabling interoperability between IoT devices by integrating the existing Web ecosystem with “Things”. WoT provides a unified interface over a suitable network protocol facilitating interactions between different IoT protocols. WoT Thing Descriptions (TD) enrich interoperability providing both human and machine readable metadata about a Thing. However, the WoT still falls short in providing semantic interoperability due to insufficient standard vocabularies which can describe different IoT application domains. In this paper, we propose a semantic similarity-based approach to automatically identify and extract the most common concepts from sixteen popular ontologies belonging to smart home and smart building domains. The proposed method helps the developers and researchers to develop a domain ontology with reduced effort. The extracted concepts are evaluated by the domain experts and are found to be sufficient in describing the smart home and smart building domains.

Cultural Heritage and Digital Tools: the Rock Interoperable Platform

Cultural Heritage and Digital Tools: the Rock Interoperable Platform

Technology and Disasters: The Evolution of the National Emergency Tele-Critical Care Network.

Technology and Disasters: The Evolution of the National Emergency Tele-Critical Care Network.

Health Informatics Learning Objectives on an Interoperable, Collaborative Platform.

Catalogues of learning objectives for Biomedical and Health Informatics are relevant prerequisites for systematic and effective qualification. Catalogue management needs to integrate different catalogues and support collaborative revisioning. The Health Informatics Learning Objectives Navigator (HI-LONa) offers an open, interoperable platform based on Semantic Web Technology. At present HI-LONa contains 983 learning objectives of three relevant catalogues. HI-LONa successfully supported a multiprofessional consensus process.

811 Lessons from a Pandemic - Streamlining Sleep Apnea Care; is the future here?

IntroductionReady access to optimal care for sleep-related breathing disorders (SRBD) remains a major barrier to the vast majority of an estimated 25 million Americans with undiagnosed obstructive sleep apnea. This barrier includes lack of readily available sleep medicine expert contact, health care insurance navigation challenges and difficulties with continuity of care. Chronic pervasive gaps in sleep medicine care were exacerbated by the COVID-19 pandemic in 2020. While numerous models were previously proposed to bridge SRBD care gaps, sustained and quantifiable success has been elusive.MethodsDeploying interactive technology and artificial intelligence, we designed and implemented a novel, user-friendly integrated medium named Ognomy - the Sleep Apnea App, to mitigate widespread SRBD care access gaps. Multi-faceted but unified open access was made widely available, allowing bidirectional patient-provider interaction through a Web App. Individuals or surrogates who suspect that they or dependents suffer from SRBD are able to readily establish secure access to Ognomy. Patients can independently download and interact with the application on-demand and around the clock.ResultsFrom April 2020 to date, more than seven thousand (7,726) Ognomy App downloads have been documented. Over a thousand (1,169) patient registrations have occurred on Ognomy. Five hundred seventy-four (49.1%) of Ognomy App registrants have since been provided hitherto difficult, cumbersome access to full care, by a board-certified Sleep Medicine provider. Four hundred eighty-nine (85.2%) of the 574 patients managed via Ognomy’s care provision chain proceeded to complete sleep diagnostic testing and follow up.ConclusionAvailability of a readily accessible and affordable multi-faceted platform for care of sleep-related breathing disorders will mitigate the burden of untreated SRBD in the United Sates and worldwide. Ognomy, a Sleep as a Software service, is a novel integrated tool, bridging chronic gaps in sleep apnea care. Measures that significantly alter the trajectory of Sleep Medicine care now and in the future, have the potential to systematically close existing SRBD care gaps worldwide. Innovative tools such as algorithmic scheduling, Blockchain utility for platform interoperability, facilitating insurance benefit verifications, deployed in tandem with delivery drone systems for home sleep testing, should enhance turnaround time and improve care currently available for SRBD.Support (if any):

DLT-based enhancement of cross-border payment efficiency – a legal and regulatory perspective

ABSTRACT Financial law and regulation have, to date, assumed that regulated activities and functions are concentrated in a single legal entity responsible and accountable for operations and compliance. Even with regard to financial market infrastructure where the regulatory perspective acknowledges the need for interoperability of many entities as a system, each entity is subject to its own rules and regulations, and can thus meet its own compliance requirements independent of other system participants. The entity-focused regulatory paradigm is under pressure in the world of DLT-based payment arrangements where some ledgers, and thus the performance of the services as such, are distributed. DLT arrangements could provide an alternative to the traditional reliance on a mutually trusted central entity to transfer funds and enable the creation of new foundational infrastructures by distributing technical functions or linking existing systems. As such, we identify and outline concepts for use cases where DLT is potentially improving the efficiency of cross-border payments, namely a Best Execution DLT, a DLT application for a Network of Central Banks, a DLT as an AML/KYC utility, as well as DLT arrangements for an Identity Platform, a Small Payments Platform and, finally, an Interoperability Platform connecting multiple closed-loop and proprietary banking systems. Despite the wide-ranging interest in DLT-based payment systems, research so far has focused on technical concepts and lacked legal details. This article seeks to fill this gap by providing an initial analysis of the legal challenges related to DLT-based payment systems. From a legal perspective, the distribution of functions in DLTs comes with new risks created from the joint performance of services and functions as main characteristic of a distributed ledger, and the need for additional agreements, ongoing coordination across, and governance arrangements among the nodes. Further, in a cross-border context, multiple regulators and courts of various countries (asking for compliance with their own set of rules and regular reporting) will be involved. All of these must decide whether for compliance with any single rule they look at the DLT as a whole (herein called ‘the ledger perspective’) or each individual node (that is each institution participating in the DLT, herein called ‘the node perspective’). Moreover, financial and private law must provide for risk allocation, liability, responsibility and accountability for all legal obligations related to each function and activity. This article examines the extent to which the ledger perspective or the node perspective should prevail against the backdrop of a range of DLT use cases, resulting in policy recommendations for regulators. In this article, we propose the adoption of what we call an enabling approach for payment systems: ledger operators must specify in a Plan of Operations subject to regulatory approval to which rights and obligations the ledger perspective applies; in the absence of such a stipulation, rules apply based on the node perspective. However, for systemic risk controls, AML/CFT, data protection and governance, as well as DLT governance, we propose a reversed default rule in which the ledger perspective prevails in the absence of rules stipulating that the node perspective applies. Finally, in private law matters, we propose protecting consumers and SME clients through a standardised payment services contract structure, without mandating details.

Recent Advances in Unmanned Aerial Vehicles Forest Remote Sensing—A Systematic Review. Part II: Research Applications

Forest sustainable management aims to maintain the income of woody goods for companies, together with preserving non-productive functions as a benefit for the community. Due to the progress in platforms and sensors and the opening of the dedicated market, unmanned aerial vehicle–remote sensing (UAV–RS) is improving its key role in the forestry sector as a tool for sustainable management. The use of UAV (Unmanned Aerial Vehicle) in precision forestry has exponentially increased in recent years, as demonstrated by more than 600 references published from 2018 until mid-2020 that were found in the Web of Science database by searching for “UAV” + “forest”. This result is even more surprising when compared with similar research for “UAV” + “agriculture”, from which emerge about 470 references. This shows how UAV–RS research forestry is gaining increasing popularity. In Part II of this review, analyzing the main findings of the reviewed papers (227), numerous strengths emerge concerning research technical issues. UAV–RS is fully applicated for obtaining accurate information from practical parameters (height, diameter at breast height (DBH), and biomass). Research effectiveness and soundness demonstrate that UAV–RS is now ready to be applied in a real management context. Some critical issues and barriers in transferring research products are also evident, namely, (1) hyperspectral sensors are poorly used, and their novel applications should be based on the capability of acquiring tree spectral signature especially for pest and diseases detection, (2) automatic processes for image analysis are poorly flexible or based on proprietary software at the expense of flexible and open-source tools that can foster researcher activities and support technology transfer among all forestry stakeholders, and (3) a clear lack exist in sensors and platforms interoperability for large-scale applications and for enabling data interoperability.

Application of artificial intelligence in gastroenterology: Potential role in clinical practice.

Artificial intelligence (AI) based on deep learning boosted medical research in the past years and is expected to enormously change the style of health care in many aspects in the foreseeable future. Nowadays, there are exploding volumes of healthcare-related data being generated daily. Because of its time-sensitive characteristics, being able to process large amounts of data in real-time fashion is crucial in healthcare settings. In gastroenterology practice, AI can manage and interpret the sheer amount of data with different formats coming from a myriad of sources, including currently used endoscopic or imaging devices, digital record systems, and electronic health records, or from other sources such as governmental databases, social media, or wearable devices over a long period. Traditional gastroenterology is nowadays beginning to transform to a new personalized, predictive, and preventive paradigm. Evidence-based practices and recent studies are coming out every day, and big data-based approaches and the progress in basic sciences and its emerging applications are now becoming the indispensable part of precision medicine. In gastroenterology, AI can be applied in disease diagnosis, treatment guidance, outcome prediction, and reducing workload of the healthcare staff. As the healthcare community begins to embrace AI technology, how to seamlessly construct an interoperable platform to accommodate data with high variety and veracity with high velocity and implement AI in the clinical workflow would be the future challenges.