SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Systematic Method to Identify an Area of Vulnerability to Voltage Sags

This paper describes a systematic method for determining an area of vulnerability (AOV) to fault induced voltage sags. The concept of an AOV is very useful for evaluating vulnerability and the relationship between sensitive loads and system voltage sag performance. In general, a system performance assessment pertaining to voltage sags requires a determination of AOVs for system buses. Because voltage sags can be caused by remote faults in a transmission system, to completely identify an AOV, a large part of the power system including adjacent circuits and remote supply systems should be considered. Therefore, accurately calculating critical points and identifying AOVs are challenging tasks. In this paper, we present an effective numerical method to determine an accurate AOV in a large scale power system and to overcome limitations of other well-known methods.
La critica imprevista: Politica, teologia e patriarcato in Mary Astell. Eleonora Cappuccilli. Biblioteca del Giornale di Storia constituzionale 13. Macerata: Edizioni Università di Macerata, 2020. 264 pp. €15.20.

La critica imprevista: Politica, teologia e patriarcato in Mary Astell. Eleonora Cappuccilli. Biblioteca del Giornale di Storia constituzionale 13. Macerata: Edizioni Università di Macerata, 2020. 264 pp. €15.20. - Volume 75 Issue 2
Data Mining for Cyber Security

Cyber security is concerned with protecting computer and network system from corruption due to malicious software including Trojan horses and virus. Security of our network system is becoming imperative as massive sensitive information is transmitted across the network. In this research paper, data mining application for cyber security is highly explored. We discussed various cyber-terrorism or attack committed across the network such as malicious intrusion, credit card fraud, identity thefts, and infrastructure attack. Data mining techniques such as classification, anomaly, link analysis and so on are being applied to detect or prevent the aforementioned cyber-terrorism or attack. Recommendations were made and suggestion for further study was indicated.
Photon – educational robot as a tool for shaping future of young generations

Our project responds to the need of creating new tools for children to protect them from wasting their time in virtual internet
world, playing computer games or watching television. Because of this behavior, children do not develop themselves in a
correct way. They are becoming passive users of modern technologies and they kill their creativity and world curiosity.
Another need of our world is a huge demand for programmers. If we will interest children in technology on an early stage of
their education showing it in friendly way, they will more willingly choose computer science as a path of their further
education. If they are not going to be the programmers, then their ability of logical thinking will help them in choosing path of
their future development.
Our solution is Photon – an innovative system that teaches programming and logical thinking through entertainment and
competition. It is dedicated for children. It involves the usage of a small robot that is fully integrated with a smartphone, tablet
or computer based on popular operating systems. This is a great opportunity for the youngest to get interest in expanding
their knowledge in technology by showing them its familiar face.
Photon is aimed at children aged 6-12 years living mostly in developed regions of the world: mainly Europe and North
America. Size of whole market (children between 6-12 age) in US approx. 40 million children and in Europe it is approx. 81
million of children. Our solution is new on market and there are competitors that are already existing on market. Market is
also developing fast so it’s hard to estimate SOM. We would like to gain 0.007% SAM (7085 users) in our first three years of
operation.
Overall goal of this project is to develop and commercialise an innovative system for programming and logic thinking
education. With our strengths and competition advantages we are sure that we can successfully put Photon on market.
Circuit mechanisms of self-movement estimation during walking

The brain evolves, develops, and operates in the context of animal movements. As a consequence, fundamental brain functions such as spatial perception and motor control critically depend on the precise knowledge of the ongoing body motion. An accurate internal estimate of self-movement is thought to emerge from sensorimotor integration; nonetheless, which circuits perform this internal estimation, and exactly how motor-sensory coordination is implemented within these circuits are basic questions that remain to be poorly understood. There is growing evidence suggesting that, during locomotion, motor-related and visual signals interact at early stages of visual processing. In mammals, however, it is not clear what the function of this interaction is. Recently, we have shown that a population of Drosophila optic-flow processing neurons —neurons that are sensitive to self-generated visual flow, receives convergent visual and walking-related signals to form a faithful representation of the fly’s walking movements. Leveraging from these results, and combining quantitative analysis of behavior with physiology, optogenetics, and modelling, we propose to investigate circuit mechanisms of self-movement estimation during walking. We will:1) use cell specific manipulations to identify what cells are necessary to generate the motor-related activity in the population of visual neurons, 2) record from the identified neurons and correlate their activity with specific locomotor parameters, and 3) perturb the activity of different cell-types within the identified circuits to test their role in the dynamics of the visual neurons, and on the fly’s walking behavior. These experiments will establish unprecedented causal relationships among neural activity, the formation of an internal representation, and locomotor control. The identified sensorimotor principles will establish a framework that can be tested in other scenarios or animal systems with implications both in health and disease.
Project ABLE (Autism: Building Links to Employment): A specialist employment service for young people and adults with an autism spectrum condition

BACKGROUND: Project ABLE (Autism: Building Links to Employment) is an employment service established in Belfast, Northern Ireland, for young people and adults aged 16+ with an Autism Spectrum Condition. The Project adopts an individualised approach to meet the employment aspirations of this group using the Supported Employment model of intervention. The Project works with participants across the autism spectrum including high functioning individuals as well as those with severe learning disability and complex needs. OBJECTIVE: To prepare participants for employment by developing or improving their employability skills using a customised approach. METHODS: An action research approach was adopted to explore if the Supported Employment model could be used to meet the employment requirements of this group. The project was marketed to colleagues from the statutory sector and referrals were made from the Departments of Education, Health and Employment. RESULTS: During the first four years of the programme seventy two individuals took part in the project and 56% of the adult group achieved full time and part time employment in a variety of sectors. All participants experienced a least one work experience opportunity and 66% attended more than one. During the project over one hundred work placements were organised with employers throughout Belfast encompassing all vocational areas. The overall impact on participant’s lives has been positive, as well as developing employability skills many have reported an improvement in communication, social skills and over all independence. CONCLUSIONS: The Supported Employment Model can be used effectively to assist people with ASC prepare for and enter
Improvements relating to locks

A lock cylinder apparatus comprising: a lock cylinder; a setting plate removably connected to the lock cylinder, the setting plate having at least one pin receiving hole; and at least a first pin arranged in the lock cylinder such that when the first pin is in a first position at least part of the first pin is aligned with a respective pin receiving hole in the setting plate, and when the first pin is in a second position the at least part of the first pin is not aligned with the respective pin receiving hole in the setting plate.
X-RAY COLLIMATING AND BODY SHIELDING ACCESSORY INSTRUMENT

The invention is a beam limiting instrument (1) comprising a unit (3) having a frame (19) defining the perimeter about an aperture (20), and a manually adjustable rack (2) connected to the frame (19) for supporting the unit (3) with its aperture disposed between a source (4) of X-rays (6) and the body of a patient (5). Radio-opaque flexible panels (21) depending from the frame (19) are pivotable relative to the aperture (20) to collimate and limit X-rays (6) issuing from the source (4) through the aperture (20) to a particular area of the body of the patient (5). Translucent ports along lower edges of the panels serve to provide upon a photographic film (7) below the patient a scale indication of the area of the body of the patient (5) subjected to the X-rays (6).
ENERGY CONVERSION SYSTEM AND METHOD

The present invention relates to an energy conversion system for converting thermal energy to mechanical energy, comprising an evaporator, an expander, a condenser, a first tank, and a second tank. The energy conversion system further comprises flow control devices for controlling flow or working fluid between the evaporator, the expander, the condenser and the tanks, and a control unit for controlling operation of the energy conversion system by controlling the flow control devices. Each of the tanks has an outlet connected to an inlet of the evaporator, and an inlet connected to the condenser as well as to an outlet of the evaporator. Hereby, some of the pressurized vapor state working fluid flowing from the outlet of the evaporator can be used for pressurizing liquid state working fluid supplied from one the tanks to the evaporator. This configuration of the energy conversion system provides for improved energy conversion efficiency.
Research Advance on Band Selection-Based Dimension Reduction of Hyperspectral Remote Sensing Images

The typical characteristics of hyperspectral remote sensing data are combining image with spectrum, high spectral resolution, many bands and much redundant information. A hyperspectral image cube can be used to obtain millions spectrum curves. Aiming at a hyperspectral remote sensing image containing huge amounts of data, removing redundant information and reducing processing dimensions are the premise and foundation for hyperspectral remote sensing processing and applications. Hyperspectral data dimension reduction techniques mainly include the feature extraction and band selection. This paper has fully studied the theories and methods of dimension reduction for band selection, analyses their advantages, disadvantages and validity, and deeply discusses the current situation and tendency of the development of band selection based on dimension reduction of hyperspectral remote sensing image at last.
Geoprometna analiza zračnog prostora Republike Hrvatske

The Geographical analysis of the Republic of Croatia’s airspace is based on the geo-position at the border between the Central part and Southeast part of Europe, which provides a strategic location for connecting the Middle East and Asia with Europe. This structure of airspace is in accordance with EU legislation and ICAO standards and consists of the single flight information region that follows state borders, the control area classified as C, D, and G areas and the control zone around all 9 international airports. The Republic of Croatia’s airspace has a small number of restrictions mostly due to military exercises. NATO values the Republic of Croatia’s geographical position because it offers a perfect location because of the safe distance for the logistics and all operational activities needed for military operations. International importance of airspace is defined in ways of development within a Single European Sky, implementation of a free route airspace concept, and a flexible use of airspace with collaboration inside the functional block of Central Europe’s airspace. These initiatives assure the highest safety standards and maximum potential and capacity of the Republic of Croatia’s airspace.
Bringing persuasive computing training assistance for healthcare personnel from lab experiments to educational practice

The aim of this proposal is to develop a strategy for transforming the results of a series of experiments in using persuasive computing technologies in emergency nurse training into a system that can be used in real life educational settings. The experiments were conducted as part of the SmartSociety FET Open project, which aims to develop new ways of human-machine collaboration. They were jointly done by the partners of this proposal with DFKI being in charge of the technology and Southampton providing the experimental setting within their nursing school that puts hundreds of professional nurses and nurse candidates through elaborate training simulations each year. The experiments have shown that sensor-based activity recognition combined with novel interaction techniques can, in principle provide significant benefit to both the students and the trainers. They also generate significant interest within the health care community, which included both enthusiasms for the potential and sepsis on potential problems.  In this project, we want to understand which parts of the experiments are suitable for short to mid-term transition into real life education practice, how to overcome the corresponding technical, regulatory and social hurdles and how the introduction of such systems could be financed.
Growing up in a Recession

Does the historical macroeconomic environment affect preferences for redistribution? We find that individuals who experienced a recession when young believe that success in life depends more on luck than effort, support more government redistribution, and tend to vote for left-wing parties. The effect of recessions on beliefs is long-lasting. We support our findings with evidence from three different datasets. First, we identify the effect of recessions on beliefs exploiting time and regional variation in macroeconomic conditions using data from the 1972–2010 General Social Survey. Our specifications control for nonlinear time-period, life-cycle, and cohort effects, as well as a host of background variables. Second, we rely on data from the National Longitudinal Survey of the High School Class of 1972 to corroborate the age-period-cohort specification and look at heterogeneous effects of experiencing a recession during early adulthood. Third, using data from the World Value Survey, we confirm our findings with a sample of 37 countries whose citizens experienced macroeconomic disasters at different points in history.
Heading to Distributed Electrocatalytic Conversion of Small Abundant Molecules into Fuels, Chemicals, and Fertilizers

The centralized production of fuels, chemicals, and fertilizers by thermocatalytic processes sustained by fossil resources is a pillar of modern societies. Electrocatalytic transformations of the abundant small molecules, water, carbon dioxide, dinitrogen, and methane, are emerging routes. Their coupling with renewable sources such as sun power may give rise to a distributed model based on small-scale reactors, so-called artificial leaves. Realizing this vision calls for improved catalytic performance, efforts on reactor and process engineering, and supportive regulatory frameworks. This work puts emphasis in analyzing the core challenge of catalytic performance by defining a common set of figures of merit. This analysis is nuanced by peculiarities inherent to the proposed scheme. This perspective thus aspires to (1) provide a bird’s-eye view of the gap separating them from practical values, (2) identify sources of inefficiency, and (3) establish a qualitative comparison among their feasibility, resulting in H2O ≫ CO2 ≥ N2 > CH4.
The march of an economic idea? Protectionism isn't counter-cyclic (anymore)

Conventional wisdom holds that protectionism is counter-cyclic; tariffs, quotas and the like grow during recessions. While that may have been a valid description of the data before the First World War, it is now inaccurate. Since the Second World War, protectionism has not been counter-cyclic; tariffs and non-tariff barriers simply do not rise systematically during downturns. I document this new stylised fact with a panel of data covering over 180 countries and 40 years, using over a dozen measures of protectionism and six of business cycles. I test and reject a number of potential reasons why protectionism is no longer counter-cyclic. A ‘diagnosis of exclusion’ leads me to believe that modern economics may well be responsible for the decline in protectionism's cyclic behaviour; economists are more united in their disdain for protectionism than virtually any other concept. This in turn leaves one optimistic that the level of protectionism will continue to decline along with its cyclicality.

— Andrew K. Rose
Exhaust gas cleaning device

An exhaust gas cleaning device provided with a filter member for collecting carbon particulates in exhaust gases discharged from a diesel engine and an electric heater for burning off the particulates collected by the filter member, is disclosed. The filter member is composed of a large number of intersecting porous walls which define a large number of inlet gas passages and outlet gas passages which are adjacent to each other. The electric heater is composed of at least one film-shaped heating resistor which is directly formed on the upstream end surface of the filter member so as to be integral therewith. When the amount of carbon particulates collected by the filter member reaches a predetermined level, electric current is supplied to the electric heater. The carbon particulates adhered to the upstream end surface of the filter member are ignited and burnt off. Then, the combustion of carbon particulates spreads to the other carbon particulates collected in the other portion of the filter member.
Analysis and representation of complex activities in videos

The goal of the project is to automatically analyse human activities observed in videos. Any solution to this problem will allow the development of novel applications. It could be used to create short videos that summarize daily activities to support patients suffering from Alzheimer's disease. It could also be used for education, e.g., by providing a video analysis for a trainee in the hospital that shows if the tasks have been correctly executed.

The analysis of complex activities in videos, however, is very challenging since activities vary in temporal duration between minutes and hours, involve interactions with several objects that change their appearance and shape, e.g., food during cooking, and are composed of many sub-activities, which can happen at the same time or in various orders.

While the majority of recent works in action recognition focuses on developing better feature encoding techniques for classifying sub-activities in short video clips of a few seconds, this project moves forward and aims to develop a  higher level representation of complex activities to overcome the limitations of current approaches. This includes the handling of large time variations and the ability to recognize and locate complex activities in videos. To this end, we aim to develop a unified model that provides detailed information about the activities and sub-activities in terms of time and spatial location, as well as involved pose motion, objects and their transformations.

Another aspect of the project is to learn a representation from videos that is not tied to a specific source of videos or limited to a specific application. Instead we aim to learn a representation that is invariant to a perspective change, e.g., from a third-person perspective to an egocentric perspective, and can be applied to various modalities like videos or depth data without the need of collecting massive training data for all modalities. In other words, we aim to learn the essence of activities.
HLognGP: A parallel computation model for GPU clusters

Parallel computation model is an abstraction for the performance characteristics of parallel computers, and should evolve with the development of computational infrastructure. The heterogeneous CPU/Graphics Processing Unit GPU systems have been and will be important platforms for scientific computing, which introduces an urgent demand for new parallel computation models targeting this kind of supercomputers. In this research, we propose a parallel computation model called HLognGP to abstract the computation and communication features of heterogeneous platforms like TH-1A. All the substantial parameters of HLognGP are in vector form and deal with the new features in GPU clusters. A simplified version HLog3GP of the proposed model is mapped to a specific GPU cluster and verified with two typical benchmarks. Experimental results show that HLog3GP outperforms the other two evaluated models and can well model the new particularities of GPU clusters. Copyright © 2015 John Wiley & Sons, Ltd.
European training network in innovative polymers for next-generation electrochemical energy storage

POLYSTORAGE ETN aims to develop high quality training opportunities for 15 +1 ESRs (one financed with Australian funds) in the area of “Polymers for Next Generation Electrochemical Energy Storage”. The final objective is to train materials scientists who will be the future leaders to face some of the upcoming European energy and environmental challenges. Well-balanced combination of fundamental and basic material&polymer science with applied research in advanced energy storage devices is a key aspect of this training network. A comprehensive training programme has been designed at two levels including local activities such as enrolment in PhD programmes, local courses, etc, and network-wide activities such as sectorial secondments, 6 workshops, 2 schools and one final conference. The goal is to exploit the high number of potential synergies between innovative polymers and next generation energy storage technologies such as postlithium batteries, redox flow batteries, and all-polymer batteries. POLYSTORAGE gathers together 12 beneficiaries (incl. 2 industries) and 11 partners (incl. 9 industries). POLYSTORAGE academic partners are internationally renowned for their research and training activities in polymer science (Univ. of Jena, Univ. of the Basque Country, Univ. of Leuven, Univ. of Pau, Aalto Univ.) and energy storage (Karlsruhe Institute of Technology, Uppsala Univ., Politecnico di Torino, Imdea Energy, Nat. Inst. of Chem. and Deakin Univ.). The 11 European industries with complementary expertise are FAAM Research Center, E22 Energy Storage Solutions, Scania, Toyota Motor Europe, Evonic Creavis GmbH, TCI Europe NV, CALIXHE, Solvionic, Chemspeed, NETZSCH and Repsol. The industrial participants will have an active participation in the training activities and exploitation of the project results.