SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Novel coding factors in heart disease

Heart failure has become a worldwide epidemic with more than 23 million people affected resulting in devastating consequences for patients and an enormous burden on health care systems. One in five heart failure patients dies within a year of diagnosis and survival estimates after diagnosis are 50% and 10% at 5 and 10 years, respectively. Despite intensive investigation, the molecular mechanisms leading to heart failure remain poorly understood. We will narrow this critical gap in knowledge by proposing a previously unattainable, comprehensive approach to define the genomic architecture and functional consequences of newly identified micropeptides from multiple classes of RNAs that previously were classified to be non-coding in cardiac biology and heart failure. Our approach is unique and novel in several ways. Thematically, our studies focus on novel classes of orphan peptides and their role in heart failure that have not been discovered previously. Our approach relies on innovative interdisciplinary efforts of scientists working in molecular genetics, genomics, computational biology, and cardiovascular research to identify and characterize pathophysiological pathways that converge on these novel peptides. We will identify these short peptides by using genome-wide measures of active translation and will harness unique clinical resources to ensure human relevance. Analysis of animal and cell models coupled with state-of-the-art biochemical and genetic tools will elucidate the function of newly identified micropeptides within the molecular and cellular pathways of cardiac biology and failure. Through these efforts we will discern fundamental causes of maladaptive responses in the heart and strategies to monitor and limit these.
Electrical Extractions of One Dimensional Doping Profile and Effective Mobility for Metal–Oxide–Semiconductor Field-Effect Transistors

In this study, an attempt is made to provide a framework to assess and improve metal–oxide–semiconductor field-effect transistor (MOSFET) reliability from the early stage of the design to the completion of the product. A small gate area has very small capacitances that are difficult to measure, making capacitance–voltage (C–V) based techniques difficult or impossible. In view of these experimental difficulties, we tried electrical doping profiling measurement for MOSFET with short gate length, ultra thin oxide thickness and asymmetric source/drain structure and checked the agreement with simulation result. We could get the effective mobility by simple drain current versus drain bias voltage measurement. The calculated effective mobility was smaller than expected value and we explained some reasons. An accurate effective mobility for asymmetric source–drain junction transistor was successfully extracted by using the split C–V technique, with the capacitance measured between the gate and source–drain and between the gate and the substrate.
Image-Based analysis for drug discovery and repurposing

Drug discovery and development has become a lengthy and resource-intensive process which is characterized by high attrition rates of candidate molecules. Candidate molecules are often identified in high-throughput screening experiments that capture only a small fraction of its biological activities and too many candidates fail in clinical development due to unwanted side-effects and lack of a therapeutic window. In addition, many approved drugs harbor unrecognized therapeutic efficacy in other indications that were not covered during development. Necessary deep characterization of candidate molecules during pre-clinical development demands further efficient and cost-effective methods and data rich assays. Providing a solution to compare phenotypic measurements to a reference database can facilitate the profiling of unwanted effects and the identification of drugs with potential for repurposing. High-content imaging provides a cost-effective solution to capture a broad range of biological responses, however, analysis of such data requires extensive expertise and data processing pipelines. This project has the following objectives: (i) to develop a cloud-based infrastructure for analyses of image-based drug screening (WP1), (ii) to perform a proof-of-concept screen to create a reference database and a showcase for commercialization (WP2), (iii) to conduct market analyses and development of a business plan for a spin-off company (WP3). The ERC Proof of Concept Grant will thus enable us, based on methods pioneered in our ERC Advanced Grant, to develop and perform a proof-of-concept as well as to develop an innovative knowledge base and cloud-IT product for drug development and repositioning.
DIRECT MODULATED PHASE-LOCKED LOOP

Direct frequency modulation of a phase-locked loop (PLL) output signal is achieved by means of a modulation signal comprising a digital sequence. The digital modulation signal is coupled to the input of the VCO of the PLL, and is also coupled to drive an up-down counter. The output of the counter is coupled to a D/A converter to provide a compensation signal for the PLL. When the counter output reaches values representing modulation-induced phase errors of +360 degrees and -360 degrees, the counter generates signals respectively corresponding thereto to adjust the PLL frequency divider.
Development of a  Territorial Brand for Cultural Identity

Proposed by companies in the extended tourism sector with in-depth knowledge of their locations, including not only catering and hospitality, but also cultural services and artisanal and agri-food productions, this project deals in an innovative and cross-border way with the challenge of increasing tourist attraction in the cooperation area, through the enhancement and certification of Cultural Identity, composed from the environmental, social and cultural sustainability of cross-border companies. Cultural identity enhances the competitiveness of micro, small and medium-sized companies based in blue and green tourism areas. The general objective is to promote the cooperation area's tourist destination image with a standard "Cultural Identity" quality brand defined through a debate between communities and companies. This brand will have legal value, such as those of the ISO:9000 standard, and will allow companies to meet the expectations of "conscious tourists".  SMARTIC's specific objectives are as follows: Defining cross-border standards for a tourist brand; providing SMEs with tools for growth to certify and develop 90 companies; promoting companies adopting the brand and the pilot areas and providing a brand logo, web platform and tourist guide for "conscious tourists".  Expected changes: More competitive micro and SMEs of the tourism sector of the pilot areas. Increased tourist arrivals from outside the cooperation area. Innovative bottom-up participatory approach, open to all local stakeholders to define widely shared cross-border standards.
eGovernment for Regional Development and Interregional Cooperation

The European regional policy, as formulated in the programming period 2000 – 2006, has a clear priority on Information Society (IS). All regions are able to contribute to IS. The recent trend in governmental services and public administration is the amplification of decentralization; for this reason eGovernment and IS have a special gravity at the local level. The task to establish an IS socially equal and spatially balanced, however, includes much more than developing the technical capacity in Information and Communication Technologies (ICT), although the latter is the backbone for IS. For a long time the "hard" aspects of IS (i.e. technical infrastructure) were the top priority of many national and EU programmes and initiatives; this fact may explain to an extent why so many ICT projects and especially those dealing with eGovernment, fail in practice. By focusing on eGovernment for local / regional authorities, eGOVREGIO aims to build on and integrate pan-European, invaluable know-how and experience in the "soft" aspects of eGovernment, i.e. strategic planning and benchmarking, organizational change and acquisition of new skills. Additionally, as a demonstration action, eGOVREGIO aims to involve all participating regions in the joint development of vivid, pilot eGovernment platforms built on the needs of each area, utilizing thus the synergies and knowledge curves stemming from an interregional cooperation in which members find themselves at different stages of eGovernment sophistication and adoption.
Correction model for flow calculation of plain river network

Complex water movement and fewer measuring points are the unfavorable factors in improving the accuracy of flow calculation of river networks.For this reason,a correction model for a plain river network was developed based on the three-step method in dealing with the water levels at key nodes of a looping river network,with the coefficients in the equation considered to be the media carrying the correction information.The correction information of the model errors at observation stations was transmitted to the other cross sections of the river network to correct the forecasted values of water levels and discharges at the cross sections of neighboring rivers.A case study was conducted in the river network of the Chengtong section of the Yangtze River.Hydrological data in September 2004 were selected for model calculation.The results show that the proposed model can effectively transmit the correction information of model errors in a certain spatial range and has practical significance in improving the accuracy of forecasts for river networks.
A Methionine Deficient Diet Enhances Adipose Tissue Lipid Metabolism and Alters Anti-Oxidant Pathways in Young Growing Pigs

Methionine is a rate-limiting amino-acid for protein synthesis but non-proteinogenic roles on lipid metabolism and oxidative stress have been demonstrated. Contrary to rodents where a dietary methionine deficiency led to a lower adiposity, an increased lipid accretion rate has been reported in growing pigs fed a methionine deficient diet. This study aimed to clarify the effects of a dietary methionine deficiency on different aspects of tissue lipid metabolism and anti-oxidant pathways in young pigs. Post-weaned pigs (9.8 kg initial body weight) were restrictively-fed diets providing either an adequate (CTRL) or a deficient methionine supply (MD) during 10 days (n=6 per group). At the end of the feeding trial, pigs fed the MD diet had higher lipid content in subcutaneous adipose tissue. Expression levels of genes involved in glucose uptake, lipogenesis but also lipolysis, and activities of NADPH enzyme suppliers were generally higher in subcutaneous and perirenal adipose tissues of MD pigs, suggesting an increased lipid turnover in those pigs. Activities of the anti-oxidant enzymes superoxide dismutase, catalase and glutathione reductase were increased in adipose tissues and muscle of MD pigs. Expression level and activity of the glutathione peroxidase were also higher in liver of MD pigs, but hepatic contents in the reduced and oxidized forms of glutathione and glutathione reductase activity were lower compared with control pigs. In plasma, superoxide dismutase activity was higher but total anti-oxidant power was lower in MD pigs. These results show that a dietary methionine deficiency resulted in increased levels of lipogenesis and lipolytic indicators in porcine adipose tissues. Decreased glutathione content in the liver and coordinated increase of enzymatic antioxidant activities in adipose tissues altered the cellular redox status of young pigs fed a methionine-deficient diet. These findings illustrate that a rapidly growing animal differently adapts tissue metabolisms when facing an insufficient methionine supply.
Importance of feature selection in decision-tree and artificial-neural-network ecological applications. Alburnus alburnus alborella: A practical example

Abstract Recent advances in computing technology have increased interest in applying data mining to ecology. Machine learning is one of the methods used in most of these data mining applications. As is well known, approximately 80% of the resources in most data mining applications are devoted to cleaning and preprocessing the data. However, there are few studies on preprocessing the ecological data used as the input in these data mining systems. In this study, we use four different feature selection methods (χ 2 , Information Gain, Gain Ratio, and Symmetrical Uncertainty) and evaluate their effectiveness in preprocessing the input data to be used for inducing artificial neural networks (ANNs) and decision trees (DTs). The presence/absence of fish is the data item used to illustrate our models. Feature selection is fundamental in order to increase the performances of the models obtained. Accuracy of classification improves when a small set of optimally selected features is used. DTs and ANNs are very useful tools when applied to modeling presence/absence of Alburnus alburnus alborella . ANNs generally performed better than DT models.
Managerial support for development and turnover intention

Purpose The purpose of this paper is to integrate learnings from social exchange theory, organizational support theory and JD-R model to explore the relationship among support for development, work engagement (WE), job satisfaction (JS) and turnover intention (TI). It was hypothesized that the relationship between managerial support for development (MSD) and TI would be explained through organizational support for development (OSD), WE and overall job satisfaction (OJS). Design/methodology/approach A cross-sectional survey on a sample of 5,088 service industry employees undergoing organizational change and working in the business-to-business context was employed. Reponses were analyzed using IBM® SPSS® AMOSTM 20. Findings The findings were along the hypothesized lines. The study found support for mediation by OSD, WE and OJS, respectively of MSD and TI relationship. Similarly, the mediation of MSD-OJS relationship by OSD and WE, respectively were also supported. Furthermore, OSD mediated the relationship between MSD and WE; while the relationship between OSD and TI was mediated by WE and OJS, respectively and additionally, the OSD-OJS relationship was mediated by WE. Lastly, the mediation of WE-TI relationship by OJS was also supported. Therefore, the sequence of MSD-OSD-WE-OJS-TI partial mediation model was supported. Research limitations/implications While the sample size ( n =5,088) is large, the respondents belong to one business unit of an organization, constraining generalizability. Additionally, the study is limited by cross-sectional design. Finally, the study was restricted by the choices of perceptual measures of study variables and non-quantitative evaluation of discretion/job demand. Originality/value Using learnings from multiple theories, the present study examined the roles of two sources of support for development (organizational and managerial) and two job-related states (WE and JS) in relating with TI. Interestingly, all the expected relationships were true in a context signifying the discretionary nature of organization. Further, testing of alternate models gives additional credence to the findings.
Advanced e-marketplace for a new way of purchasing and sharing home care services and assisted living technologies

European population is fast ageing: in the next future, this means increasing rates of care-dependent older people and a rapidly growing need for domiciliary healthcare services, due also to the progressive unavailability of informal care. Most of the citizens will not have access to public care and will refer autonomously to care providers. The search of a trusted and skilled professionals is time consuming and there is not any guarantee on the quality of the service, except by word of mouth. For professionals the need to find easily and continuously demand is vital. Traditional commissioning processes are opaque, inflexible and do not fit with users’ needs.

HoplàCare platform offers:
- to families all that is needed to properly take care of their elderly relatives, from finding the best care provider/service to being always connected with their loved one accessing Real Time Home Care Monitoring systems (remote care assisted living);
- to providers more responsive and flexible services and it gives to the smaller a transparent, easy channel to reach new users and enter the market.

The platform is an advanced e-marketplace that standardizes the trade of home care services.
Trust and professionalism are assured by a continuous validation held by the iterative ranking algorithm that evaluates the reliability of healthcare professionals.
HoplàCare integrates informal and formal care, by coordinating the care supplied from different carers (public and private) to that of relatives themselves and offers the unique opportunity to access to care sharing.
Given that CaringMate intends to rapidly scale the model on the EU market, this implies the release and validation of an optimized public full operational version of the platform and of the mobile app, integrating all the remote care features (i.e. webcam service); during phase 1, a feasibility study (commercial, financial, technical) will be carried out and a solid go-to market strategy and pilot action designed.
Readjustment of the Standard ASUDAS to Encompass Dental Morphological Variations in Plio-Pleistocene Hominins

The standard ASUDAS scoring system (Arizona State University Dental Anthropology System) is used to assess dental morphological variations in modern humans. It is also frequently used to study, score, and compare morphological variations in fossil hominin taxa and to examine their phylogenetic relationships. However, using ASUDAS in studies of this type is under debate because it is based on modern Homo sapiens populations and does not appear to cover all variations observed in fossil Plio-Pleistocene homi- nins. Our observations and coding of 178 dentals casts of Plio-Pleistocene specimens based on ASUDAS and from the literature have confirmed the need to adapt the standard system to fossil hominins. In this initial study, we propose that the scoring procedures for some morphological characters need to be readjusted, while others could be standardized following the ASUDAS system.
European Union trade policy after enlargement: larger crowds, shifting priorities and informal decision-making

The article focuses on the effects of Eastern enlargement on EU trade policy-making. On interest constellation, the article makes a case that protectionist forces have been strengthened relative to liberal forces. This slight protectionist turn is mostly witnessed in the area of anti-dumping and with respect to the Doha trade round. On preference aggregation, guided by a principal–agent framework, it is argued that the growth in the number of actors (principals and interest groups) has not constrained the role of the European Commission (agent). However, it has led to an increase in informal processes and has empowered large trading nations vis-a-vis smaller and less ‘comitology-experienced’ member states.
A Study on Camera Array and Its Applications * *This research is funded by the State Key Laboratory of Geo-information Engineering under grant agreement NO. SKLGIE2015-M-3-4 and is supported by National Science Foundation of China (Grant No. 61473230), National Science Foundation for Young Scholars of China (Grant No. 61603303) and Aviation Science Foundation(Grant No. 2014ZC53030).

Abstract The reduced cost of cameras and the complex scenes make it possible and necessary to replace the monocular camera with camera array under certain situations. In this paper, we first provide a review on the existing camera arrays and sort them according to the array arrangement, and then give an overview of the imaging properties that are benefited from the camera array including dynamic range, resolution, seeing through occlusions and depth estimation. At last, a novel camera array-based airborne optical system is proposed to meet the intelligence, surveillance and reconnaissance (ISR) requirements for large field of view (FOV), high dynamic range and resolution, multi-view and multiple dimensions imaging. For the sake of onboard application of this system in practice, some key technologies are highlighted that need to be developed in the future research, such as the self-calibration and the synthetic aperture imaging by camera arrays on mobile platforms.
Alignment-assisted field-free orientation of rotationally cold CO molecules

We follow the alignment-assisted orientation technique proposed by Zhang et al. [Phys. Rev. A 83, 043410 (2011)] to experimentally demonstrate a substantial enhancement of the field-free orientation by using a combination of single- and two-color laser pulses. When a two-color orienting pulse is preceded by a single-color aligning pulse by a suitable time, the resulting orientation is thrice as large as that obtained with the two-color pulse alone. We ensure that the orientation is the result of the hyperpolarizability interaction rather than ionization depletion by keeping the ionization due to the pump pulses small and demonstrate a useful level of orientation without the complications of a partially ionized target.
Modos de viver, religião, cultura militar : os Húngaros e o seu território nas fontes muçulmanas da Península Ibérica, entre os séculos IX e XII

Referred to for the fi rst time in written sources in the West in the second half of the 9th century, the Hungarian tribes must have arrived to the region of the Carpathian Basin around 894-895. Until 902 they occupied a vast territory and, at the same time, started military expeditions into various European regions. These incursions reached, at times, distant lands in the continent and, therefore, from an early date, they came to the attention of very different authors of Medieval Europe (Byzantines, Germans, Italians, Muslims). This article intends to make available to a Portuguese-speaking audience a selection of the most representative texts by Muslim authors of Hispanic origin who wrote about the ancient Hungarians between the 9th and 12th centuries: it is hoped, thereby, to contribute to a widening of the context of those studies which discuss Iberian-Hungarian relations during the Medieval period.
Energy-Recovery turbine for water pipes

As large amounts of energy are used by pumps for lifting and moving water and as energy costs are the second highest cost of a water utility’s operating budget, the proper selection of pumps, motors, and controls is critical to ensure an efficient system and to control costs
The Pydro Turbine represents the first smart pressure regulation energy recovery pump-turbine for water pipe networks. It fulfills four functions: 1. power conversion of water pipe pressure into electric energy, 2. water pressure and flow regulation, 3. pressure and flow metering and communication, 4. ability to function as pump to increase pressure, if needed. 
We consider these Germany, France and the UK the countries with the biggest need for our solution as our TAM. The market potential for Germany is about €350 million. The estimates for France and the UK are between €200 - 400 million in energy recovery. 
The Pydro Turbine is the first of its kind patent pending smart pressure regulating pump-turbine that has been developed specifically for water pipe networks. The Pydro Turbine can help reach the goals of the Paris Agreement by lowering the energy usage for water transport and recovering energy from water transport. The global market potential only in the area of energy recovery in water supply is €15.2 billion.
Pydro’s overall strategy is built around the Pydro Turbine to bring it to market internationally. Integrating the Horizon 2020 SME Instrument will accelerate our time to market.
During the project, we will collect information about the technical structures of regional water supply networks, legal frameworks, political incentives and competitive landscapes. We will present the Pydro Turbine to potential customers and conduct interviews.