SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Reversed-Polarity iii-nitride sensors for enhanced uv-detection

Smart, enhanced detection of ultraviolet  (UV) radiation will be a key enabling technology for many forthcoming technological revolutions in fields such as industrial processing, space research, defence and medicine. AlGaN alloys with high Al content are the perfect materials for this type of device. By varying their composition, the absorption edge can be precisely controlled across the whole UV range down to wavelengths as short as 200 nm. AlGaN-based photodetectors are fast, with very low dark currents, highly biocompatible, and chemically stable. However, two main problems limit their development: the difficulty in achieving satisfactory p-type doping, and the presence of polarization fields that disrupt the internal electric field and make it difficult the separation of the photo-generated carriers. This project aims to use N-polar AlGaN materials to tackle both problems. This material orientation has proved to favour incorporation of p-type impurities and induce higher electric fields for carrier separation.
Different Metal Organic Vapour Phase Epitaxy (MOVPE) growth conditions will be studied to control the growth of N-polar AlN templates and magnesium doped AlGaN epilayers. Finally, a prototype of solar-blind UV photodetector based on AlGaN/AlGaN heterostructure will be grown, fabricated and fully characterized.
In order to pursue this project, the fellow will carry out the outgoing phase at Nagoya University, Japan, under the join supervision of Prof. Hiroshi Amano and Prof. Markus Pristovsek for a period of 21 months. He will then return to the Tyndall National Institute in Cork, Ireland, for the final 12 months under the supervision of Prof. Peter Parbrook. At the start of this project the candidate will also carry out an initial 3-month secondment period in a company that specialises in sensors to perform a preliminary simulation study and gain better understanding of the industrial requirements for a possible future commercialization of these devices.
Enhancing skills intelligence and integration into existing phd programmes by providing transferable skills training through an open online platform

DocEnhance aims to enhance transferable skills intelligence and integration into existing PhD programmes by i) involving the non-academic sector in developing a more employment and innovation-oriented curriculum for PhD programmes, ii) facilitating work-based learning and business-education partnerships through developing PhD courses, and iii) tracking of PhD graduate career paths. The major outputs of the project are a recommended transferable skills curriculum for PhD programmes, a novel course concept and material, and an open access career-tracking survey. The project will focus on transferable skills, as these skills facilitate the transition into employment and are widely applicable, regardless of scientific field and chosen career path. All project outputs will be provided as freely available Open Educational Resources through an online platform, the DocEnhance Platform. This platform will function as a comprehensive, user-friendly and equal access point for transferable skills intelligence and training in research education for researchers in all career stages, as well as a community and networking site, designed to live beyond the project lifetime. 

DocEnhance builds on a large, diverse and experienced consortium, several existing EU-projects and other initiatives to achieve these ambitious goals. The External Advisory Board and the Industry Reference Group represent the major stakeholders and end users of the project outputs, and their involvement is ensured through a co-creation approach that includes project evaluation and validation events. All project outputs will be piloted among several European partner universities during the project for proof-of-concept, and a project partner from Africa and member university of the the World University Network represents the interests of non-European countries.
A Custom Designed RISC-V ISA Compatible Processor for SoC

RISC-V is an open Instruction Set Architecture (ISA) released by Berkeley Architecture Group from the University of California, at Berkeley (UCB) in 2010. This paper presents the architecture, design and complete implementation of a 32-bit customisable processor system containing a mix of features as listed below. The 32-bit processor based on RISC-V ISA, is capable of handling atomic operations in addition to all integer operations supported by the ISA. The design has a priority-based nested interrupt controller, giving the user an added flexibility to program the priority levels of interrupts. In addition, there is a debug unit which provides internal visibility during program execution. An error detection and correction interface to memories, makes the design resilient to radiation induced bit-flips. The on-chip communication interface follows the standard Wishbone specification. The design has been implemented on Xilinx Virtex-7 XC7VX48T FPGA and achieves a peak frequency of 80 MHz, with the processor stand-alone operating at 190 MHz. On a 65 nm technology node, the design operates at a frequency of 170 MHz, while the processor stand-alone, a maximum frequency of 220 MHz. The design occupies a footprint of 1.027 mm\(^2\) with 32-KB on-chip memory.
METHOD, SYSTEM AND APPARATUS FOR ONE OR MORE OF ENCRYPTING AND SIGNING A MESSAGE USING VOICE PROFILES

A method, system and apparatus for one or more of encrypting and signing a message using voice profiles are provided. At a device comprising: a processor, a memory, and a communication interface, a secure message is generated at the processor from a message and a key by one or more of encrypting the message and signing the message, the key associated with a voice profile, the voice profile comprising a number representative of acoustical characteristics of a user's voice. The secure message is transmitted using the communication interface.
I-SceI-mediated double-strand DNA breaks stimulate efficient gene targeting in the industrial fungus Trichoderma reesei

Targeted integration of expression cassettes for enzyme production in industrial microorganisms is desirable especially when enzyme variants are screened for improved enzymatic properties. However, currently used methods for targeted integration are inefficient and result in low transformation frequencies. In this study, we expressed the Saccharomyces cerevisiae I-SceI meganuclease to generate double-strand breaks at a defined locus in the Trichoderma reesei genome. We showed that the double-strand DNA breaks mediated by I-SceI can be efficiently repaired when an exogenous DNA cassette flanked by regions homologous to the I-SceI landing locus was added during transformation. Transformation efficiencies increased approximately sixfold compared to control transformation. Analysis of the transformants obtained via I-SceI-mediated gene targeting showed that about two thirds of the transformants resulted from a homologous recombination event at the predetermined locus. Counter selection of the transformants for the loss of the pyrG marker upon integration of the DNA cassette showed that almost all of the clones contained the cassette at the predetermined locus. Analysis of independently obtained transformants using targeted integration of a glucoamylase expression cassette demonstrated that glucoamylase production among the transformants was high and showing limited variation. In conclusion, the gene targeting system developed in this study significantly increases transformation efficiency as well as homologous recombination efficiency and omits the use of Δku70 strains. It is also suitable for high-throughput screening of enzyme variants or gene libraries in T. reesei.
Personnel location and tracking for safety, security and protection

The global indoor location market is expected to grow 23.13 Billion USD by 2021, at a Compound Annual Growth Rate of 37.4%. Although attractive, in the market there is a sound evidence of a still unsatisfied offer of a location system in GPS-denied environments for safety, security and protection for time/risk-critical operations. DUNE introduces PROTECT (4 patents filed): a new, autonomous, infrastructure-free, wearable tracking system for GPS-denied environments. Major PROTECT advantages w.r.t. competitors: no need of ad-hoc deployed infrastructures, floorplans, calibrations and pocketsize. The three major guidelines of PROTECT are: 1) value proposition: provide a high perceived value for the customers by a localisation system: a. generating advantages (performance): location accuracy for both real-time, time-critical operations and post survey analysis (e.g. inspectors of nuclear plants); b. decreasing difficulties (suitability): infrastructure-free and 'switch and forget' system, suitable for the operations in real scenarios, so to be acceptable by the end-users with zero impact on their practices; 2) affordability: make the system affordable, with a business plan ranging from SaaS to licensing, always keeping the unitary cost below the expenditures capabilities of the clients, also minimising their OPEX; 3) profitability: make the system profitable, by adopting a modular/layered approach, so to accommodate a large ensemble of requirements, coming from different customers, thus minimising the CAPEX on our side. The main goals of the project are:  a) acquire a leading position in the localisation market for first responders and CIs;  b) a turnover of 24 M€ within the end of the 3rd year; c) the break-even for commercialisation at end of the 1st year; d) an increase of qualified personnel in DUNE of approx. 76%, with an average gross wage of 45.000 €/yr; e) increase of the business for the SMEs involved by DUNE in the industrial/marketing process.
A Condenação da Bósnia pelo Comitê Contra a Tortura: Um Novo Marco no Contexto dos Crimes Sexuais em Conflitos Armados

Este artigo tem o objetivo de analisar a decisão do Comitê contra a Tortura da ONU, em agosto de 2019, que condenou a Bósnia em caso referente à violência sexual no contexto da guerra da ex-Iugoslávia. Partindo da premissa de que, contemporaneamente, os crimes sexuais em conflitos armados têm predominantemente natureza de instrumento de guerra, este estudo utiliza, primeiramente, pesquisa descritiva e explicativa ao abordar a evolução legislativa e jurisprudencial no plano internacional sobre o tema. Em seguida, lança-se mão da abordagem qualitativa para analisar a decisão do Comitê, apresentando o resumo do caso concreto, questões relativas à competência do órgão para julgar e os impactos da decisão para o desenvolvimento do tema violência sexual em contexto de guerras dentro do Direito Internacional. Entre as conclusões, observa-se, dedutiva e comparativamente, que a decisão do Comitê é um marco histórico e jurídico por ampliação de interpretação de norma preexistente e preenchimento de lacuna jurisprudencial em se tratando de crimes sexuais em contexto de conflitos armados. Revela-se um novo órgão permanente para julgar casos similares, proporcionando concomitantemente a condenação do Estado e uma forma mais efetiva de reparação para as vítimas, diante das limitações de outros tribunais internacionais.
Automatic detection of end systole and end diastole within a sequence of 2-D echocardiographic images using modified Isomap algorithm

The first step for automatic calculation of the ejection fraction, stroke volume and some other features related to heart motion abnormalities in echocardiographic images is automatic detection of the end-systole and end-diastole frames. In this paper, modified Isomap algorithm is applied on two dimensional (2-D) echocardiographic images to reveal the relationship between the frames of one cycle of heart motion. By this approach, the image sequences are represented in a 2-D manifold and each image is characterized by a point on reconstructed manifold. By considering the fact that end-diastolic and the end-systolic frames have the highest volume difference and consequently highest image difference comparing to the other two frames, the maximum distance between the two points in manifold is used to find these frames. The results obtained with our method were validated to those obtained with the reference experienced echo-cardiologist on six healthy volunteers and depicted the usefulness of presented method.
Software framework for runtime-adaptive and secure deep learning on heterogeneous architectures

Deep Learning (DL) algorithms are an extremely promising instrument in artificial intelligence, achieving very high performance in numerous recognition, identification, and classification tasks. To foster their pervasive adoption in a vast scope of new applications and markets, a step forward is needed towards the implementation of the on-line classification task (called inference) on low-power embedded systems, enabling a shift to the edge computing paradigm. Nevertheless, when DL is moved at the edge, severe performance requirements must coexist with tight constraints in terms of power/energy consumption, posing the need for parallel and energy-efficient heterogeneous computing platforms. Unfortunately, programming for this kind of architectures requires advanced skills and significant effort, also considering that DL algorithms are designed to improve precision, without considering the limitations of the device that will execute the inference. Thus, the deployment of DL algorithms on heterogeneous architectures is often unaffordable for SMEs and midcaps without adequate support from software development tools. 
The main goal of ALOHA is to facilitate implementation of DL on heterogeneous low-energy computing platforms. To this aim, the project will develop a software development tool flow, automating:
• algorithm design and analysis;
• porting of the inference tasks to heterogeneous embedded architectures, with optimized mapping and scheduling;
• implementation of middleware and primitives controlling the target platform, to optimize power and energy savings.
During the development of the ALOHA tool flow, several main features will be addressed, such as architecture-awareness (the features of the embedded architecture will be considered starting from the algorithm design), adaptivity, security, productivity, and extensibility. 
ALOHA will be assessed over three different use-cases, involving surveillance, smart industry automation, and medical application domains
Low-Cost Carbon Offsetting and Trading

This paper describes our approach and experiences in carbon credit trading with barcodes. It provides a account system for enabling a small amount of carbon credits to be drawn from or paid into accounts and uses barcodes as certificates for the rights to claim carbon credits in carbon offsetting and trading. It enables any items to be sold with carbon credits to mitigate \CO emission from the use and disposal of the items by attaching such barcodes to them. It also enables the consumers that buy products with carbon credits to hold and claim these credits easily. The approach was constructed and evaluated with real customers, real items, and real carbon credits in a supermarket. It increased the sales volume of products with the items 3.5 times more than the ordinary sales volume.
Automatic Construction of Temporally Extended Actions for MDPs Using Bisimulation Metrics

Temporally extended actions are usually effective in speeding up reinforcement learning. In this paper we present a mechanism for automatically constructing such actions, expressed as options [24], in a finite Markov Decision Process (MDP). To do this, we compute a bisimulation metric [7] between the states in a small MDP and the states in a large MDP, which we want to solve. The shape of this metric is then used to completely define a set of options for the large MDP. We demonstrate empirically that our approach is able to improve the speed of reinforcement learning, and is generally not sensitive to parameter tuning.
Decoupling Office Energy Efficiency From Employees' Well-Being and Performance: A Systematic Review

Energy efficiency (i.e., the ratio of output of performance to input of energy) in office buildings can reduce energy costs and CO2 emissions, but there are barriers to widespread adoption of energy efficient solutions in offices because they are often perceived as a potential threat to perceived comfort, well-being, and performance of office users. However, the links between offices' energy efficiency and users' performance and well-being through their moderators are neither necessary nor empirically confirmed. The purpose of this study is to carry out a systematic review to identify the existing empirical evidence regarding the relationships between energy-efficient solutions in sustainable office buildings and the perceptions of employees' productivity and well-being. Additionally, we aim to identify relevant boundary conditions for these relationships to occur. A systematic literature search of online databases for energy efficiency literature (e.g., Environment Complete, GreenFILE), employee literature (e.g., PsycINFO, Business Source Complete) and general social science literature (e.g., Academic Search Complete) yielded 34 empirical studies. Also, inclusion and exclusion criteria were set. The results suggest that it is possible to decouple energy costs from organizational outcomes such as employee well-being and performance. Also, they indicate the existence of moderators and mediators in the relationship between green office building solutions and well-being/performance. Directions for future research and the implications for practice considering different stakeholders interested in implementing green building solutions, adopting energy-saving measures in offices, and improving employees' functioning are suggested.
Price Modulation Policy of Federal Government of Nigeria: Effects on Fish Production

The study investigated the effect of price modulation policy of Federal Government of Nigeria on fish production
 in Oyo State, South West Nigeria. A multistage sampling technique was used to select 150 respondents from 9
 wards within Oyo State using well-structured questionnaire to obtain information on socio-economic characteristics
 of the respondents, types of fish cultured and the impact of price modulation policy on profitability of fish production.
 Data were analyzed using descriptive statistics, regression and t-test analysis. There is influx of young men (57.5%)
 in fish production in the study area with 95% of them having between 1-5 years of experience. Clarias spp is the
 most cultured fish species in the study area and cost per kg of fish produced after price modulation had a negative
 and significant (p<0.05) effect on profitability of fish production during the period of this study. T-test further showed
 that there was significant difference between production cost before price modulation (PCBF) and production cost
 after price modulation (PCAF). This could have negative health and welfare implications on the citizenry. Policy
 makers should therefore put in place welfare packages that will ameliorate the effect of this policy.
Introduction of the results of joint development into ST-OS production practice

Solution of single product innovation Interfers with piston position sensor, which is not yet introduced to the market, process innovation and subsequent oganisation innovation.  Product innovation took place in cooperation with LIEBHERR and BUT FSI in Brno.  Other companies cooperated on the innovation of automated machining processes in addition to BUT FSI.  The project also addresses the issue of intralogistics with the application of the elements Industry 4.0 and the transition to a new edition of IS HELIOS iNUVIO, including cyber security of data. a.
PIXEL DRIVING STRUCTURE, DISPLAY PANEL AND DISPLAY DEVICE

The present disclosure discloses a pixel driving structure, a display panel and a display device. The structure includes a pixel combination formed by a first pixel unit and a second pixel unit, a scan line, a data line, a gate driver and a source driver. The first pixel unit of the odd row pixel combination is connected to one odd row scan line, the second pixel unit of the odd row pixel combination is connected to the next even row scan line of the odd row scan line; the first pixel unit of the even row pixel combination is connected to the next two even row scan lines of the odd row scan line, the second pixel unit is connected to the next odd row scan line of the odd line scan line, the first pixel unit and the second pixel unit are connected to the same data line.
Designing Multiple Coordinated Visualizations for Tablets

The use of multiple coordinated views (MCV) in data visualization provides analytic power because it allows a person to explore data under a variety of different perspectives. Since this design pattern utilizes multiple visualizations and requires coordinated interactions across the views, a clever use of screen space is vital and many synchronized interface operations must be provided. Bringing this design pattern to tablet computers is challenging due to their small display size and the absence of keyboard and mouse input. In this article, we explain important design considerations for MCV visualization on tablets and describe a prototype MCV visualization system we have built for the iPad. The design is based on the principles of maximizing screen space for data presentation, promoting consistent interactions across visualizations, and minimizing occlusion from a person's hands.
Passive Control of Supersonic Rectangular Jets through Boundary Layer Swirl

Mixing characteristics of under-expanded supersonic jets emerging from plane and notched rectangular nozzles are computationally studied using nozzle exit boundary layer swirl as a mean of passive flow control. The coupling of the rectangular jet instability modes, such as flapping, and the swirl is investigated. A three-dimensional unsteady Reynolds-Averaged Navier-Stokes (RANS) code with shock adaptive grids is utilized. For plane rectangular nozzle with boundary layer swirl, the flapping and spanwise oscillations are captured in the jet’s small and large dimensions at twice the frequencies of the nozzles without swirl. A symmetrical oscillatory mode is also observed in the jet with double the frequency of spanwise oscillation mode. For the notched rectangular nozzle with boundary layer swirl, the flapping oscillation in the small jet dimension and the spanwise oscillation in the large jet dimension are observed at the same frequency as those without boundary layer swirl. The mass flow rates in jets at 11 and 8 nozzle heights downstream of the nozzles increased by nearly 25% and 41% for the plane and notched rectangular nozzles respectively, due to swirl. The axial gross thrust penalty due to induced swirl was 5.1% for the plane and 4.9% for the notched rectangular nozzle.