SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
A cognitive detection system for cybersecure operational technologies

Data is becoming the core engine of businesses. Data allows extracting, exchanging and sharing value out of the myriad of production and service chains that are no longer under a centralised distribution. As a result, an IT and OT convergence based on the integration of multiple ICT systems will transform market dynamics that present specific security challenges in a context of ever-accelerating change in terms of the threat landscape, attack surface, ecosystems, solutions and regulation.

IDUNN’s main objective will focus on adding this trust ingredient to any business by making its ICT systems resilience to cyber-attacks. To achieve that, IDUNN will create a security shield in the form of tools, methodologies, microservices and initial standards compatible with any ICT supply chain. IDUNN will demonstrate a secure Continuity Plan for ICT based organisations by creating and validating a unique Cognitive Detection System for Cybersecure Operational Technologies.  Faced with a possible incident, IDUNN will know how to act quickly to alleviate it, and in turn generate a cognitive learning process, which reduces human intervention and provides forecasting capabilities.  In this respect, IDUNN will be capable of learning to protect themselves from new threats since they are constantly updated. IDUNN project will develop a complete integrated solution, modular and adaptative to different scenarios. Only when ICT systems behave securely, digital trust will be achieved.

The deployment of IDUNN will (i) increase trust in ICT for both IT and OT, (ii) decrease person effort to ensure cybersecurity operations, (iii) increase response and lower recovery time, and above all, (iv) will have a crucial impact in the productivity of any businesses that make use of these secured ICT chains by ensuring that all technologies, services, and tools are defined to guarantee the continuation of the business, providing reasonable effective security and trust for the daily operations.
A deterministic inventory model for deteriorating items with selling price dependent demand and three-parameter Weibull distributed deterioration

Article history: Received November 2 2013 Received in Revised Format 10 January 2014 Accepted February 8 2014 Available online February 21 2014 In this paper, an attempt is made to develop two inventory models for deteriorating items with variable demand dependent on the selling price and frequency of advertisement of items. In the first model, shortages are not allowed whereas in the second, these are allowed and partially backlogged with a variable rate dependent on the duration of waiting time up to the arrival of next lot. In both models, the deterioration rate follows three-parameter Weibull distribution and the transportation cost is considered explicitly for replenishing the order quantity. This cost is dependent on the lot-size as well as the distance from the source to the destination. The corresponding models have been formulated and solved. Two numerical examples have been considered to illustrate the results and the significant features of the results are discussed. Finally, based on these examples, the effects of different parameters on the initial stock level, shortage level (in case of second model only), cycle length along with the optimal profit have been studied by sensitivity analyses taking one parameter at a time keeping the other parameters as same. © 2014 Growing Science Ltd. All rights reserved
Uncovering Seismic HTI Anisotropy of the Cooper Basin

3D seismic data from the Cooper Basin exhibit horizontal transverse isotropy (HTI) anisotropy in amplitude versus offset (AVO) and interval migration velocity. Theoretically, vertical fractures and in-situ stress can induce HTI anisotropy. The main objective is to determine if the HTI anisotropy is caused by fractures or by the Cooper Basin’s large difference between minimum and maximum horizontal stress. We compare migration velocity anisotropy and seismic AVO anisotropy extracted from a high-quality 3D survey with a “ground truth” of dipole sonic logs, borehole breakout, and fractures interpreted from image logs. The AVO anisotropy is inverted using Ruger AVO algorithm and Fourier Coefficient algorithm that give similar results. Fractures interpreted from image logs are primarily oriented approximately 30° from SH. Our work suggests that stress is the dominant cause of the HTI anisotropy observed in the seismic data. The fact that seismic anisotropy is parallel with current SH and not aligned with the observed fractures suggests that Cooper Basin large differential stress causes the anisotropy observed on seismic.
An empirical study for integrating XP with VTSP to improve business process

Abstract Actual problems that threaten organizations are the excessive unnecessary organizational processes. The Business Process Reengineering (BPR) methodology is developed to improve the return of investment rates within organization. BPR guides to rearranging processes and removing unnecessary ones and consolidating the remaining processes into linear open system. Unfortunately, usage of modern Information Technology doesn't solve such problems in the Middle East countries and especially Egypt and doesn't realize the expected results. The limitations and drawbacks of IT projects refer mainly to the dependency on plan-driven team software process methodology that could not achieve frequently requirement changes of customers and usually exceeds estimated budget of the project. This research adopted the eXtreme Programming methodology using virtual team software process work providers in order to avoid these drawbacks and applied the proposed hybrid methodology to three main departments within Suez Canal Authority in Egypt.
Robot control device and robot

A robot control device (20) controls the operation of a robot (1) including a base (11); a robot arm (5) that has at least three links (12, 13, ..., 19), at least three joint portions (171, 172, ..., 177), and at least three drive sources (401, 402, ..., 407); an inertia sensor (31); and at least three angle sensors (411, 412, ..., 417). The robot control device (20) includes a first coordinate system vibration calculation unit (501); a second coordinate system vibration calculation unit (501); a weighting unit (503, 504); a third coordinate system vibration calculation unit (501); a correction value calculation unit (502) that obtains correction values for correcting the respective drive commands of the drive sources (401, 402, ..., 407) based on vibration information in a third coordinate system, and the respective detected results of the angle sensors (411, 412, ..., 417); and a drive source control unit (201, 202, ..., 207) that controls the operations of the drive sources (401, 402, ..., 407) based on the respective drive commands of the drive sources (401, 402, ..., 407), the correction values, and the respective detected results of the angle sensors (411, 412, ..., 417).
Forest management-mortality interactions – quantification of management effects on tree mortality and implications for carbon cycling

Forests form a major terrestrial carbon sink, but its size is subject to large uncertainties. Recent advances in the quantification of the sink have highlighted the need for accounting for the effects of forest management and tree mortality. However, management and mortality have been considered in isolation from each other, even though management practises are known have large effects on tree mortality. So far, the lack of suitable management data has hindered the realistic consideration of management effects on forest dynamics in global vegetation models. ForMMI aims to fill these gaps by (1) developing novel observation-based methodology to quantify forest management regimes from single-measurement national forest inventory data, (2) creating statistical models that allow calculation of mortality rates based on management type and intensity and (3) integrating these models into a dynamic global vegetation model LPJ-GUESS and use it to quantify the implications to carbon cycle. The methodological development will enable obtaining of observations-based management information over large areas, thus greatly improving the current use of national-level statistics and assumptions based on management guidelines. This will greatly benefit the future efforts of linking management to forest dynamics in large-scale models. The results will provide a first large-scale and consistent assessment of management impacts on natural mortality of trees and quantify the implications for carbon cycle. This will create an important basis in accounting for management-mortality interactions in global vegetation models, on which further research will be able to build on. The project will provide Dr Suvanto with the skills and expertise needed to establish a leading international role in forest management-mortality interactions, a research direction with increasing importance as current efforts on including management effects and mortality processes to large-scale models move forward.
Coordination of transmission and distribution data exchanges for renewables integration in the european marketplace through advanced, scalable and secure ict systems and tools

This project aims to design and develop novel Information and Communication Technology (ICT) tools and techniques that facilitate scalable and secure information systems and data exchange between Transmission System Operator (TSO) and Distribution System Operator (DSO). The three novel aspects of ICT tools and techniques to be developed in the project are: scalability – ability to deal with new users and increasingly larger volumes of information and data; security – protection against external threats and attacks; and interoperability –information exchange and communications based on existing and emerging international smart grid ICT standards.
The project focuses on TSO-DSO interoperability. While TSO-TSO interoperability is currently well established by ENTSO-E through implementation of the Common Grid Model Exchange System, TSO-DSO interoperability will also benefit future TSO-TSO interoperability. In this context the project will also consider DSO to other Market-participants (DSOs, Aggregators, Distributed Energy Resource Operators, Micro-grid Operators) and information or data access portals that enable business processes involving relevant actors in the electrical power sector.
Beyond state-of-the-art progress that will be achieved:
Fully defined interface specifications for TSO-DSO information exchange interfaces based on Use Case analysis and IEC 61970/61968/62325 standards to support highly automated information exchange and network analysis.

Fully defined interface specifications for information exchange between DSOs and market participants based on Use Case analysis and IEC 61850 and IEC 62325 standards to support highly automated information exchanges.

Role-based access control that securely accommodates new data requirements and unbundling processes.

A specified suite of ICT protocols and integration with the defined interfaces.

Proof of Concept using field tests and demonstration with industry specification at both TSO and DSO levels.
JupiterOne Künstliche Intelligenz Analytik

Übergeordnetes Ziel des Projekts ist es, zur Entwicklung neuer Produkte und Dienstleistungen beizutragen, als Grundlage für die Stärkung der Exportaktivitäten und die Entwicklung der gesamten Binnenwirtschaft auf der Grundlage von Innovationen mit hohem Wachstums- und Entwicklungspotenzial auf globaler Ebene. Zur Erreichung des allgemeinen Ziels werden die folgenden spezifischen Ziele definiert: Finale Optimierung innovativer Lösungen und deren globaler Kommerzialisierung2. Erzielung von Einnahmen und Einnahmen aus Exporten bei gleichzeitiger Gewährleistung der Rentabilität und Liquidität des Geschäfts3. Die Zusammenführung eines Entwicklungsteams von Experten, die dauerhaft im Unternehmen beschäftigt sein werden und sich um langfristiges Wachstum und Entwicklung auf globaler Ebene kümmern, wird zwei innovative Lösungen optimieren: — JupiterOne Plattform – Cryptosent Anwendung
FUNNELING MACHINE WITH INCLINED ADVANCING RAMS

A vehicle for use in mine workings for enlarging a tunnel or for forming a heading and comprising a wheeled chassis having a rock breaker and a bucket loader mounted thereon further includes a conveyor means extending generally longitudinally of the chassis to receive rock and spoil collected by the bucket loader at the forward end of the chassis and to discharge such rock and spoil at the rearward end of such chassis. Rams are provided laterally of the chassis for supporting the same relative to opposed surfaces of the workings.
The tree and forest spaces with applications to initial-value problem methods

Tree and forest spaces, which are at the heart of the theory of Runge–Kutta methods, are formulated recursively, and it is shown that the forest space is an algebra. To obtain order conditions in a systematic manner, Banach algebras are introduced to generate both the elementary weights for a general Runge–Kutta method and the corresponding quantities based on the Picard integral. To connect these two concepts, the Picard integral is written as the limiting case of an s-stage Runge–Kutta method, equivalent to s steps of the Euler method, as s tends to infinity. This approach makes it possible to make direct use of the tree space without going over to the dual space. By choosing linear combinations of trees, appropriate to a particular application, it is shown how to obtain alternative ways of writing the order conditions. This leads to a simpler and more direct derivation of particular methods.
Vivências transfeministas no cárcere brasiliense

Esta pesquisa se propõe a investigar as vivências de mulheres transgênero em cumprimento de pena no Distrito Federal entre 2017 e 2021, sob a ótica da epistemologia feminista, tentando compreender em que medida as circunstâncias do cárcere brasiliense estariam em harmonia com o direito à identidade de gênero das mulheres transgêneras presas. Para iniciar este estudo, foi realizada uma revisão bibliográfica sobre os recursos jurídicos que já foram criados para assegurar o respeito à identidade de gênero na Execução Penal; também se fez um paralelo entre o progresso deste direito no ordenamento jurídico em geral e na Execução Penal brasileira. Posteriormente foi realizado um estudo de caso das decisões judiciais originárias da Vara de Execuções Penais do Distrito Federal que trataram dos direitos carcerários das mulheres transgêneras, analisando-se como o Juízo implementou aos presídios do Distrito Federal, ao longo do período analisado pela pesquisa, normas que respeitassem a identidade de gênero das presas transgêneras em observância às demais normas do ordenamento jurídico. Por fim foi realizado um estudo empírico, se utilizando de entrevistas semiestruturadas, com servidores públicos do Sistema de Justiça e da Execução Penal visando auferir com fidedignidade se o poder público garante uma Execução Penal do Distrito Federal digna às presas transgêneras.
Experimental investigation on hover performance of a single-rotor system for Mars helicopter

Abstract Mars helicopter, as an aerial auxiliary platform with the abilities of vertical take-off whenever a rover requires and directly landing wherever the destination is determined, is of great significance in the field of planetary exploration. Since a thin atmosphere exists on Mars, the feasibility of helicopter flight on Mars should be validated. In addition, a proper understanding of the flight performance, especially the hover performance, is necessary for the design and optimization of the Mars helicopter's rotor system. In this work, hover performance experiments of a two-bladed untwisted rectangular planform single rotor with NACA 6904 airfoil are conducted in the Martian Atmosphere Simulator (MAS), which is used to simulate the Martian atmospheric density. Based on the experimental results, the collective pitch angle effects and Reynolds number effects on the lift-drag characteristics and efficiency of the single-rotor system are investigated during the hovering process with Reynolds number ranging from 3050 to 6100 (using the chord and speed at 0.75 wingspan) and Mach number ranging from 0.23 to 0.46 (using the speed at blade tip). The results reveal that it is feasible for a 500 g Mars helicopter with 30 ∘ optimum collective pitch angle at 4510 r/min minimum rotational speed to work under the Martian atmospheric density and obtain a maximum figure of merit of 0.40 as well as a hover endurance of 17.0 min. Additionally, increasing the Reynolds number (ranging from 3050 to 24020) at a constant Mach number of the rotor system by increasing the rotor blade solidity can lead to a higher figure of merit, which is important for improving the load capacity of a Mars helicopter.
Sustainable finance for a smooth low-carbon transition

The threat of climate change calls for a rapid transition to a low-carbon society. Aligning the financial system with climate stability is a crucial prerequisite for achieving decarbonisation while preserving economic prosperity and societal welfare. However, we currently lack a comprehensive understanding of how the institutional and behavioural features of financial systems may affect the speed and shape of the low-carbon transition. Additionally, the coevolving socioeconomic, financial and environmental repercussions of such a large-scale societal transformation have not yet been systematically analysed. The SMOOTH project will lay the foundations of an innovative macro-financial analytical framework to provide essential insights on the links between financial systems and decarbonisation dynamics. Methodologically, I will introduce a breakthrough by linking macroeconomic analysis with an original evidence-based representation of investment decisions based on forward-looking expectations of transition pathways. In the course of five years, this integrated modelling framework will enable the first comprehensive assessment of the transition financial drivers and obstacles, and their implications for growth, financial stability, employment, private/public debt and functional distribution, with a focus on Europe. Building on this knowledge, a harmonised set of policies aimed at achieving a rapid and smooth transition can be designed. I will go beyond the current state of the art by integrating the analysis of fiscal policies with monetary policies and financial regulation, and investigating their institutional requirements and implications. SMOOTH will create a new interdisciplinary field of research integrating elements from macroeconomic modelling, climate economics, behavioural finance, socio-technical transition theory and political science, lifting the analytical power of transition modelling to a new level and opening up novel avenues for future research.
Integrating Innovation and Promoting Cluster Organization in WOMen Enterprises

The project aims to promote the women entrepreneurship both in Greece (Regions of Epirus, Western Greece and Ionian Islands) and in Italy (Puglia Region, Province of Bari and Lecce) by supporting the local stakeholders to start and grow the women businesses, in order to create a more positive enabling environment for women entrepreneurship and contribute to greater gender equality. The project objectives are:
Strengthening women entrepreneurship and networking culture for promotion of a new business model expansion.
Improvement of the regions’ authorities and stakeholders capacity regarding women entrepreneurship in the cross border area.
Actual support to existing and potential female entrepreneurs, through training, consulting, mentoring services.
Increase the awareness and sensitization of the local population and authorities towards women entrepreneurship.
Promotion of cross-border cooperation, networking, common exports, common business schemes, etc.
Solving sparse linear systems of equations over finite fields using bit-flipping algorithm

Let F q be the finite field with q elements. We give an algorithm for solving sparse linear systems of equations over F q when the coefficient matrix of the system has a specific structure, here called relatively connected . This algorithm is based on a well-known decoding algorithm for low-density parity-check codes called bit-flipping algorithm. We modify and extend this hard decision decoding algorithm. The complexity of this algorithm is linear in terms of the number of columns n and the number of nonzero coefficients ω of the matrix per iteration. The maximum number of iterations is bounded above by m , the number of equations.
Qsar computational models' self-using platform for ec regulation-reach

Chemicals substances are presented in daily life like cosmetics, functional food or agro-industry. The EC Regulation
1907/2006 for Registration, Evaluation, Authorization and Restriction of Chemicals (REACH), for the production and use of
chemicals when they are produced/imported in/to Europe in an amount greater than 1 ton/year has two major and clear
customer paint points: first, REACH implies very high costs due to the experimental and administrative work required, which
represents a particularly sensitive issue for SMEs. Second, REACH implies the need for a huge number of animal tests to
demonstrate the safety of chemicals under approval. Animal experiments require much time for preparation and execution,
and are expensive and ethically questionable. Instead, QSAR computational models represent significant savings in time,
resources and money, since the applicability of predictive models is ease and immediate. And this business need from the
European chemical industry SMEs is our market opportunity, by the final development of a novel high scalable technological
platform of easy access to experienced and non-experienced end-users. These platform will include QSAR models of
(eco)toxicology of chemicals -including nanomaterials (NMs)- to comply with the strict EC Regulation, where assays with
animals in some specific domains, such as cosmetic, are completely forbidden. This customer self-using platform will include
an additional tool for the evaluation of the appropriateness of replacing the chemicals studied for alternative compounds
which a safer (eco)toxicological profile. ProtoQSAR is a five years’ company that arises from more than fifteen years of
activity and experience of its team members, both academic and industrial sides, currently providing consulting services
related to these predictive models used by different industries. Our goal is to make the leap from consulting through the
validation and scaling up this high-potential opportunity in its sector.