58 research outputs found
Production of Safe and Functional Nanomaterials Ιntroducing the Safety By Process Control Concept
No full textDuring the NanoWeek 2022 and NanoCommons Final event (20-24 June 2022) in Limassol, Cyprus, SABYDOMA contributed this oral presentation from partner National Technical University of Athens (Philip Doganis and Haralambos Sarimveis), introducing SABYDOMA’s Safety-by-Process Control Concept
Jaqpot 5: How to access and use an existing predictive model
No full textJaqpot 5 is a user-friendly web-based e-infrastructure that allows model developers to deploy their predictive models and share them through the web. The Jaqpot 5 GUI directs the model developers to further document their models in a way that can be easily understood and used by end-users with little or no experience on machine learning and statistical analysis. The GUI also allows the end-users to apply the models on their own data for validation and/or prediction purposes and the results are collected and visualised in automatically generated tables, graphs and reports. All major machine learning and statistical data-driven algorithms are supported in Jaqpot 5, by integrating popular libraries such as the Python Scikit-learn and the R Caret libraries. Jaqpot 5 has been designed as a generic modelling and machine learning web platform, but particular emphasis is given on serving the needs of the chemo/bio/nano/pharma/ communities by integrating QSAR, biokinetics, dose-response and read-across models. Jaqpot 5 has been developed by the Unit of Process Control and Informatics in the School of Chemical Engineering at the National Technical University of Athens.
This document provides a tutorial on accessing and using an existing predictive model in Jaqpot5. The resource has been made available at https://app.jaqpot.org/. Detailed documentation is available at: https://www.jaqpot.org/Detailed documentation is available at: https://www.jaqpot.org/
Jaqpot 5: How to manage and use organisations
No full textJaqpot 5 is a user-friendly web-based e-infrastructure that allows model developers to deploy their predictive models and share them through the web. The Jaqpot 5 GUI directs the model developers to further document their models in a way that can be easily understood and used by end-users with little or no experience on machine learning and statistical analysis. The GUI also allows the end-users to apply the models on their own data for validation and/or prediction purposes and the results are collected and visualised in automatically generated tables, graphs and reports. All major machine learning and statistical data-driven algorithms are supported in Jaqpot 5, by integrating popular libraries such as the Python Scikit-learn and the R Caret libraries. Jaqpot 5 has been designed as a generic modelling and machine learning web platform, but particular emphasis is given on serving the needs of the chemo/bio/nano/pharma/ communities by integrating QSAR, biokinetics, dose-response and read-across models. Jaqpot 5 has been developed by the Unit of Process Control and Informatics in the School of Chemical Engineering at the National Technical University of Athens.
This document provides a tutorial on how to create and manage organisations in Jaqpot5. The resource has been made available at https://app.jaqpot.org/. Detailed documentation is available at: https://www.jaqpot.org
Jaqpot 5: How to simulate biodistribution scenarios using custom PBPK models
No full textJaqpot 5 is a user-friendly web-based e-infrastructure that allows model developers to deploy their predictive models and share them through the web. The Jaqpot 5 GUI directs the model developers to further document their models in a way that can be easily understood and used by end-users with little or no experience on machine learning and statistical analysis. The GUI also allows the end-users to apply the models on their own data for validation and/or prediction purposes and the results are collected and visualised in automatically generated tables, graphs and reports. All major machine learning and statistical data-driven algorithms are supported in Jaqpot 5, by integrating popular libraries such as the Python Scikit-learn and the R Caret libraries. Jaqpot 5 has been designed as a generic modelling and machine learning web platform, but particular emphasis is given on serving the needs of the chemo/bio/nano/pharma/ communities by integrating QSAR, biokinetics, dose-response and read-across models. Jaqpot 5 has been developed by the Unit of Process Control and Informatics in the School of Chemical Engineering at the National Technical University of Athens.
This document provides a tutorial for simulating biodistribution scenarios using custom PBPK models that have been deployed on Jaqpot5. The resource has been made available at https://app.jaqpot.org/
Regulating privatized infrastructures and airport services
No full textFor a World Bank Institute course on transport privatization, the authors cover basic issues associated with the regulation of privatized airport infrastructure and services: 1) Economic characteristics of airport. Three types of activities are carried out in airports: essential operational services (aeronautical and non-aeronautical), handling services (aeronautical and non-aeronautical), and commercial activities. Demand for basic airport services is directly influenced by trip purpose. The two types of airline customers (business and leisure travelers) need different levels of flexibility and tend to travel at different times. Analyzing airport capacity (practical and saturation) under peak demand is essential to airport success. Among other important issues: runway cost, level and volume of service, pollution, congestion, and air traffic control. 2) Recent trends in the airport industry. The movement toward privatization may involve public ownership and private operation, including joint ventures; partial or majority divestiture; management contracts; and BOT (build-operate-transfer) schemes and variants, including BOOT (build-own-operate-transfer) schemes and LDO (lease-develop-operate) schemes. Or it may involve private ownership and operation. 3) Price regulation. Topics covered include traditional pricing policies'price regulation through an RPI-X formula; charges for congestion, noise, and other externalities; investment plans; and design of the regulatory system. 4) Regulation of quality in the industry. Topics covered: regulation of services to passengers (as measured by targets for check-in queues, immigration queues, baggage reclaim queues, concourse crowding, shopping, parking, and so on); fault repair times; average levels of passenger boarding and disembarkation and baggage delivery; safety; and investment obligation. 5) Performance indicators in the industry. Topics covered: strategic indicators and other financial indicators (including revenues), as well as indicators of cost, productivity, and quality of service.Transport and Trade Logistics,Public Sector Economics&Finance,Banks&Banking Reform,Environmental Economics&Policies,Decentralization,Roads&Highways,Airports and Air Services,Public Sector Economics&Finance,Banks&Banking Reform,Transport and Trade Logistics
An adaptive model predictive control configuration for production-inventory systems
No full textIn this paper, an adaptive model predictive control (MPC) configuration is proposed for the identification and control of production-inventory systems. The time-varying dynamic behavior of the production process is approximated by an adaptive Finite Impulse Response (FIR) model. The well-known recursive least-squares (RLS) method is used for the online identification of the model coefficients. The adapted model along with a smoothed estimation of the future customer demand are used to predict inventory levels over the optimization horizon. The efficiency of the proposed scheme is evaluated regarding its capability to eliminate the inventory drift. The performance of the method with respect to the bullwhip effect is also considered and studied in the paper. Comparison with non-adaptive control approaches illustrates the advantages of the proposed method.
Arbitration and public law : toward a public arbitration law
No full textIl est aussi rarement question d'arbitrage en droit public que de droit public en arbitrage. Les interactions entre arbitrage et droit public, telles qu'elles se manifestent dans le contentieux public de l'arbitrage, constituent le terrain de recherche de la présente thèse de doctorat dont la méthodologie est construite autour de la dialectique du droit positif et du droit prospectif, comme du droit processuel et du droit substantiel. Il en ressort l'esquisse d'un "droit public (prospectif) de l’arbitrage" qui s'imbrique au "droit privé (positif) de l'arbitrage". D'un côté, l'arbitrage est revisité à travers des propositions innovantes : de l'abrogation de l'inarbitrabilité en droit public sous la forme d'une expérimentation législative à une "codification prospective" révisant les dispositions législatives afférentes à l'arbitrage ; de l'instauration d'une "obligation de loyauté post-contractuelle" à l'"exequatur d'office" des sentences arbitrales dans "l'intérêt d'une bonne exécution des décisions de justice". D’un autre côté, l'exorbitance du droit public est repensée, notamment à partir de "critères téléologiques" : plutôt que d'être circonscrite aux seuls critères organiques, la personnalité morale de droit public est redéfinie en fonction de critères d'influence ; sans être uniquement envisagés sous l'angle de critères matériels, les contrats publics sont réexaminés à l'aune d'une "définition prospective" du "contrat visant des intérêts publics". Il s'ensuit une approche renouvelée du droit public, comme de l'arbitrage. A un raisonnement sur l'intérêt dit "général" se substituent ainsi des "considérations d'intérêts publics" - des "intérêts publics étatiques" aux "intérêts publics globaux" - ayant trait au commerce international tout autant qu'aux finances publiques, intégrant également des "considérations d'opportunité", voire de "convenance", ce qui invite à une régulation dans le cadre d'un "ordre public des affaires". Il en résulte un office renouvelé du juge administratif - juge de l'annulation, juge de l'exequatur, juge de l'exécution des sentences arbitrales - comme juge des "conflits d'intérêts publics" au sens de la "priorisation d'intérêts publics". D’où la préconisation de "synergies inter-juridictionnelles" renforcées au sein d’un "partenariat global de justice" associant, entre autres, magistrats, arbitres, avocats, experts, sous l'égide, permanente ou ad hoc, de ce qui aurait vocation à devenir un "Tribunal des conflits d'intérêts" - plutôt que de demeurer un Tribunal des conflits de compétences - dans un rôle pivot inédit de facilitation et d'appui à l'arbitrage. [Les expressions entre guillemets correspondent à des notions proposées par l'auteur]It is uncommon to deal with arbitration in public law and to tackle public law in arbitration. The focus of this doctoral thesis is on the inter-relationship between arbitration and public law, analyzed through arbitration cases in public law litigation, based on the dialectics of positive law and prospective law, and a methodology combining procedural law and substantive law. Hence a "(prospective) public arbitration law" emerging from a well-rooted "(positive) private arbitration law". On the one hand, a new approach to arbitration is suggested through innovative proposals i.a. a legislative experiment to repeal the current inarbitrability set up in public law, in addition to revised arbitration-related legal provisions ; introducing a "post-contractual duty of loyalty" and establishing an "automatic exequatur" of arbitral awards in "the interest of a proper enforcement of jurisdictional decisions". On the other hand, an alternative vision of public law features is put forth, notably with "teleological criteria", entailing a shift from solely organic criteria to public influence criteria in the concept of legal personality under public law ; and a move away from strictly material criteria toward a "prospective definition" of public contracts as "public interests-oriented contracts". There is therefore a rethinking - if not a remaking - of both public law and arbitration. The all-encompassing concept of a so-called "common good" is thus superseded by "public interests considerations" – from "State-related public interests" to "global public interests" i.a. pertaining to international trade or public finance, including "opportunity-related considerations", as well as "convenience-related" ones. Hence a call for a "business-focused public order" regulation pattern. As a result, the administrative judge's function - whether on arbitral awards annulment, exequatur or enforcement proceedings - is revamped into a "conflicts of public interests" oversight role, in terms of "public interests prioritization". This is the reason why enhanced "interjurisdictional synergies" are highly recommended within a "global partnership for justice", bringing together, among others, State judges, arbitrators, lawyers, experts, under the auspices of what is to become a permanent or ad hoc "Conflicts of Interests Tribunal" - rather than carrying on as the current Conflicts [of Competencies] Tribunal - and to play a pioneer pivot role as to providing support in facilitating arbitration. [Expressions in quotation marks reflect innovative concepts proposed by the author
A combined model predictive control and time series forecasting framework for production-inventory systems
No full textInternational audienceModel Predictive Control (MPC) has been previously applied to supply chain problems with promising results; however most systems that have been proposed so far possess no information on future demand. The incorporation of a forecasting methodology in an MPC framework can promote the efficiency of control actions by providing insight in the future. In this paper this possibility is explored, by proposing a complete management framework for production-inventory systems that is based on MPC and on a neural network time series forecasting model. The proposed framework is tested on industrial data in order to assess the efficiency of the method and the impact of forecast accuracy on the overall control performance. To this end, the proposed method is compared with several alternative forecasting approaches that are implemented on the same industrial data set. The results show that the proposed scheme can improve significantly the performance of the production-inventory system, due to the fact that more accurate predictions are provided to the formulation of the MPC optimization problem that is solved in real time
Online QSAR Modelling Hackathon by Easy Access to Jaqpot
No full textOn Tuesday 13th April 2021, the H2020 projects NanoCommons and NanoSolveIT, in a joint initiative with the NanoSafety Cluster (NSC), organised an entry-level workshop on in silico nanotoxicology, providing users with easy (no installations required) access to Jaqpot, a powerful and versatile nanotoxicological in silico prediction platform, enabled through powerful Google Colab notebooks.
Users received training from the expert team from the National Technical University of Athens, who developed the platform, on how to develop a Quantitative Structure-Activity Relationship (QSAR) model and publish it as a web application through the Jaqpot platform with minimal programming skills requirements. Models built on Jaqpot can be used over the graphical user interface or across platforms over the API and can be shared to groups with controlled access and rights.
Under the subtitle “Deploy your model as a web service in a few minutes”, >30 participants having in silico modelling background were guided through the Google Colab Notebook-driven Jaqpot interface deploying a linear nanoQSAR model of C60 solubility in various solvents.
At the start a short introduction was given by Martin Himly, Chair of the WG-A “Education, Training and Communication” of the NSC, on the brand new NanoCommons User Guidance Handbook, where to find the different training materials offered by NanoCommons, and the forthcoming events being organised by NanoCommons.
Following Martin’s intro, Harry gave an introductory overview on the capacity of the Jaqpot QSAR predictive modelling suite highlighting its intentional use for model sharing, discussion, and deployment as web service. Thereafter, Philip took over the virtual podium and, in an interactive manner, run the example. Pantelis, Periklis, and Jason supported the attendees in break-out sessions to warrant a smooth progress of the online training session.
Attached here you find the handout in pdf-format covering the entire webinar slide sets, the preparation instructions and the turoiral for the hands-on session. The webinar recording is amongst others available online at the NanoCommons YouTube channel, for a direct link to the recording of this event click here.
Furthermore, you find additional information on related trainings at the NanoCommons Infrastructure, in the NanoCommons Customer Guidance Handbook, and at the ELIXIR TeSS channel of NanoCommons
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