SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Individualised medicine in chronic inflammatory skin diseases

More than 100 million EU citizens suffer from chronic inflammatory skin diseases such as psoriasis and atopic eczema (AE). The diseases imply a devastating life quality similar to that of cancer, and cause direct socio-economic costs in the magnitude of 100 billion Euro each year in the EU. Despite all efforts, psoriasis and AE remain undertreated and the concept of individualised (also called precision) medicine could not be established in the field. Consequently, intensified research is demanded by organisations such as the WHO. Unmet medical needs are 1) a diagnostic gap, 2) lack of prediction possibilities to define the optimal therapy for an individual patient, and 3) a substantial number of non-responders to therapies. Reasons for these shortcomings are the heterogeneity of both psoriasis and AE and insufficient collaboration of clinical specialists, basic researchers, and bio-informaticians. This proposal aims at improving health care of inflammatory skin diseases by implying the concept of individualised medicine. The crucial step towards this goal is the ground-breaking idea to link deep clinical phenotyping to molecular signatures in lesional skin. Deep phenotyping means each patient is characterised by 86 clinical, histological, and laboratory attributes rather than the imprecise state-of-the art approach of rough diagnosing. Each attribute gets assigned to molecular events in lesional skin. Gene regions as well as key pathogenic molecules are identified in a novel gene network of inflamed skin, referred to as BRAIN (biological relevance assigned intelligent network). Candidate targets get validated using state-of-the-art cell culture systems and full skin models. This innovative and ambitious approach will substantially improve our knowledge of the pathogenesis and primary triggers of both psoriasis and AE, safe European health care systems direct costs in the magnitude of 10 billion Euro, and have a model character for complex diseases in general.
Predicting the boiling point of diesel fuel using adaptive linear neuron and near infrared spectrum

Monitoring the boiling point of a diesel fuel is an important step to understand the characteristics of the diesel fuel. This study evaluated the feasibility of adaptive linear neuron (Adaline) as a predictive model to predict the boiling point of diesel fuel based on near infrared spectrum. The parameters of learning rate and training cycle that involved in the optimization process were examined and discussed. The best predictive accuracy was achieved by Adaline that used learning rate of 0.001 and 788 adaptation cycles with root mean square error of prediction (RMSEP) of 3.42 OC and correlation coefficient of prediction (r p ) of 0.9739. Findings show that Adaline with adaptive learning approach is capable of predicting the boiling point of diesel fuel based on near infrared spectrum without using data reduction approach.
Support Vector Machines and Kernel Functions for Text Processing

This work presents kernel functions that can be used in conjunction with the Support Vector Machine – SVM – learning algorithm to solve the automatic text classification task. Initially the Vector Space Model for text processing is presented. According to this model text is seen as a set of vectors in a high dimensional space; then extensions and alternative models are derived, and some preprocessing procedures are discussed. The SVM learning algorithm, largely employed for text classification, is outlined: its decision procedure is obtained as a solution of an optimization problem. The “kernel trick”, that allows the algorithm to be applied in non-linearly separable cases, is presented, as well as some kernel functions that are currently used in text applications. Finally some text classification experiments employing the SVM classifier are conducted, in order to illustrate some text preprocessing techniques and the presented kernel functions.
APPARATUS AND METHOD FOR DRAINING OF WATER FROM A CELLULOSE WEB

The invention relates to an apparatus and a method for draining of water from a cellulose web which is formed in a wedge-shaped space (1) defined by two wires, said wires being supported on chamber assemblies, including at one time at least one water receiving chamber (2), the water flowing therein through the wire as a result of a pressure difference. Each water receiving chamber has connected thereto at least one substantially vertical pipe (4-7), the vertical drops between its top and bottom end being sufficient for developing a gravitational suction leg in the water flowing pipe (4-7) and said pipe terminating in a water receiver (8) or the like.
Wearable sweat-based painless and continuous glucose monitoring device for diabetic people

There are 60 million people with diabetes in the EU (10% of total population). Diabetes is the major cause of death in the age of 20- 79. Also, Europe has the highest number of children with Type 1 diabetes (T1D) compared to other regions with approximately 140,000 diagnosed children and it has one of the highest prevalence rates of diabetes in children with 21,600 new cases per year. The frequent glucose monitoring is the key element in achieving good glycemic control which is the most important factor in preventing diabetes related complications such as diabetic retinopathy, kidney damage, heart disease, stroke and etc. Due to the high cost of the current CGM devices or pain associated with traditional finger-prick measurement, people cannot monitor their blood glucose level continuously. In 2015, 627,000 people aged between 20-79 died due to diabetes related complications. UK prospective study shows that continuous glucose monitoring leads to improved glycemic control, which in turn results in reduced diabetes related complications. Study shows that with continuous glucose monitoring diabetes related retinopathy and nephropathy (eye damage) in type 1 and type 2 diabetes decreased around 60% and microvascular complication rate decreased 25%.

Elektrosens Wristband uses a highly selective and accurate novel polymer technology sensing very low sweat glucose levels which are correlated to blood glucose. Our innovative solution makes the continuous glucose monitoring affordable for all customer segments. The main objectives of this product can be divided into two groups; mainly providing a sustainable healthy lifestyle and reducing the economic burdens., we now aim to introduce our technology to diabetes devices market seeing how our solution offers significant performance improvements and is market disrupting in its potential. Our new prototype designed and built, is currently at TRL6 stage.
ODOR-REMOVING SYSTEM FOR A TOILET

A system for removing odors from a toilet bowl (I) during its use consists mainly of a blower (2) having its inlet connected to the bowl (I) and its outlet connected to piping (5). The blower (2) is driven by a rotary water motor (15) which is actuated by water entering the initially empty flushing cistern (II). Water from the domestic supply is admitted to the water motor (15) by a valve (3) opened by depression of the toilet seat (7) which is supported on the bowl (I) by a flexible ring (40). The flexible ring (40) serves to seal the gap between bowl (I) and seat (7) and permits downward motion of the seat (7) for opening the valve (3).
DEVICE FOR REFINING METAL MELTS

A rotational device for refining metal melts has a cylindrical rotor (1) fastened to a hollow shaft (2), which rotor is formed from two parallel discs (3, 4) connected to radial partitions (5), and has a central void (6), which is open at the bottom and is connected at the top to a feed bore in the shaft (2), wherein ducts (7) originate from the central void (6), which ducts are separated by the partitions (5) and are wider in the radial direction. The rotor (1) in this device is provided with radial vanes (8) on the underside.
Gauging Receptiveness to Social Microvolunteering

Crowd-powered systems that help people are difficult to scale and sustain because human labor is expensive and worker pools are difficult to grow. To address this problem we introduce the idea of social microvolunteering, a type of intermediated friendsourcing in which a person can provide access to their friends as potential workers for microtasks supporting causes that they care about. We explore this idea by creating Visual Answers, an exemplar social microvolunteering application for Facebook that posts visual questions from people who are blind. We present results of a survey of 350 participants on the concept of social microvolunteering, and a deployment of the Visual Answers application with 91 participants, which collected 618 high-quality answers to questions asked over 12 days, illustrating the feasibility of the approach.
O ECLÉTICO COMO PATRIMÔNIO:

Pretende-se instigar discussões sobre a relação registrada na história entre o patrimônio nacional, o ecletismo e o modernismo. Partindo de discursos amplamente divulgados, como a crítica do movimento moderno ao ecletismo e as práticas iniciais de preservação oficial do patrimônio, estabelece-se uma relação entre algumas bibliografias correspondentes para entender o tema e compará-lo com o contexto arquitetônico em Bocaina, cidade do interior paulista amplamente marcada pela arquitetura eclética, consideravelmente preservada mesmo sem o respaldo do tombamento.
A typical case for observation of the relationship between the Arctic Oscillation and the North Atlantic Oscillation

Whether or not the Arctic Oscillation(AO) and the North Atlantic Oscillation(NAO) belong to the same mode of climate variability is a topic of long-lasting disputation in the field of the AO dynamics.From the case study on the abnormal behaviors of the AO and the NAO during the period of freezing disaster around mid-Jan-initial Feb 2008 over the South China and their possible causes,this paper reviews the relationship between the AO and the NAO.The main analytical tools utilized in this study are cross wavelet transform and wavelet coherence,ft is found that the phase of the AO leads or lags that of the NAO about 90°at the time scale of 30 - 60 days,while they are roughly in phase at the time scale of 10 - 20 days.Our analysis of the dynamical characters of both the AO and the NAO under the background of the 2007/08 La Nina event indicates that this variation of phase difference between the AO and the NAO with time scales origins from the regionality of wave-flow interaction. As we all know,the formation of three centers of action of the AO has something to do with the intensive centers of wave-flow interaction over the North Atlantic,the Northern Pacific and in the stratospheric polar vortex,respectively,while the NAO is mainly associated with wave-flow interaction centers over the North Atlantic.By affecting the Pacific jet stream and planetary waves,the La Nina event intensifies this difference between the AO and the NAO at time scale of 30 - 60 days.The reasons are as below,the Pacific jet stream or planetary waves in troposphere can directly affect the Pacific center of action of the AO.Meanwhile,planetary waves propagating upwards also affect the polar vortex in the stratosphere,and then affect the Arctic centers of action of the AO.On the other hand,at the time scale of 10 - 20 days,the in-phase relation of the AO and the NAO suggests that they may reflect the same physical phenomenon of wave-flow interaction,i.e.the synoptic wave breaking process over the Atlantic,which is another center of action of the AO.Based on the analysis above,the results of this paper make us incline to regarding the AO and the NAO as different.
THE EVOLUTION OF GALAXIES RESOLVED IN SPACE AND TIME: A VIEW OF INSIDE-OUT GROWTH FROM THE CALIFA SURVEY

A solar active region (AR) is a three-dimensional magnetic structure formed in the convection zone, whose property is fundamentally important for determining the coronal structure and solar activity when emerged. However, our knowledge on the detailed 3-D structure prior to its emergence is rather poor, largely limited by the low cadence and sensitivity of previous instruments. Here, using the 45-second high-cadence observations from the Helioseismic and Magnetic Imager (\emph{HMI}) onboard the Solar Dynamics Observatory (\emph{SDO}), we are able for the first time to reconstruct a 3-D datacube and infer the detailed subsurface magnetic structure of NOAA AR 11158 and to characterize its magnetic connectivity and topology. This task is accomplished with the aid of the image-stacking method and advanced 3-D visualization. We find that the AR consists of two major bipoles, or four major polarities. Each polarity in 3-D shows interesting tree-like structure, i.e. while the root of the polarity appears as a single tree-trunk-like tube, the top of the polarity has multiple branches consisting of smaller and thinner flux-tubes which connect to the branches of the opposite polarity that is similarly fragmented. The roots of the four polarities align well along a straight line, while the top branches are slightly non-coplanar. Our observations suggest that an active region, even appearing highly complicated on the surface, may originate from a simple straight flux-tube that undergoes both horizontal and vertical bifurcation processes during its rise through the convection zone.
Ana Maria de Jesus Ribeiro: uma guerrilheira brasileira nas mãos da retórica patriótico-patriarcal italiana

Anita Garibaldi foi uma das mulheres que participaram ativamente do Risorgimento italiano, celebrada pela retórica patriótica e patriarcal. Neste sentido, ela é uma figura que precisa ser recuperada, sobretudo, na Itália. Mediante tal pressuposto, e com base em fontes bibliográficas e documentais, neste artigo intencionou-se estimular discussões que problematizem o fato de Anita ser considerada uma personagem lendária ao invés de uma mulher que teve papel histórico fundamental no Brasil, sua pátria.
Removal of TOC from fertilizer production wastewater by electrooxidation

AbstractTreatment of fertilizer production wastewater was investigated by electrooxidation (Eox) process using graphite as the anode electrode and NaCl as the supporting electrolyte. In the studies, graphite anode and titanium cathode electrodes were used in direct oxidation, and together with the addition of NaCl, direct oxidation and indirect oxidation were applied to break the polluters and, therefore, remove total organic carbon (TOC) from fertilizer production wastewater. The effects of operating conditions such as pH, supporting electrolyte (NaCl), current density, and time on the removal efficiency of TOC were investigated. In addition, the specific energy consumption (SEC) for TOC removal performance was calculated. The experimental results showed that at pH 4, 8,000 mg/L NaCl, 360 min. and 62.5 mA/cm2 applied current density for an initial TOC 950 mg/L, TOC removal, and SEC were found to be 82.1% and 492.3 kWh/kg TOCrem, respectively. According to these results, the supporting electrolyte (NaCl) ...
Advanced user-centric efficiency metrics for air traffic performance analytics

This project will propose advanced metrics to assess the operational efficiency of the ATM system (challenge of the topic ER-11-2015). These new metrics will be developed with the aim of encapsulating the airspace users’ operational objectives, considering fuel consumption, schedule adherence and cost efficiency of the flights. User-preferred trajectories will be defined as references for performance analysis purposes. AURORA will also propose metrics to measure how fairly the inefficiencies in the system are distributed among the different airspace users.
The other main research area will consist of exploring and testing techniques borrowed from the data science and information management fields for the collection and aggregation of data. These techniques will allow AURORA to propose a new framework for ATM decision-making based on real-time performance monitoring of user-centric efficiency indicators, where the airspace users could take an active role.
AURORA will validate all these advanced user-centric efficiency metrics (and the proposed methods to obtain them) at European and local level by comparing them with today’s Flight Efficiency indicator used by the Performance Review Commission. AURORA will also assess the benefits for the performance-oriented operational concepts (e.g. SESAR) of using the real-time ATM performance monitoring framework to identify opportunities to improve system efficiency and better cater for the users’ operational needs.
The innovative method to assess the metrics will be based on defining a generic advanced trajectory-based airline cost model that captures, to the extent required for air traffic efficiency assessment, the impact of different aspects of the trajectory (e.g. fuel burn or departure and arrival times) on the airlines’ operational costs. The model will be characterized by not requiring sensitive information from the airspace users and by the fact that it will be applicable to both recorded and streaming data.
Desde una canción perdida a una Casandra del tercer milenio, o sea: María Rosa Lojo y la construcción de una identidad

Desde siempre, Galicia y el Nuevo Mundo parecen predestinados a constituir un binomio inalterable, a partirde aquel Finisterrae tan ibérico y, al mismo tiempo, ubicado más allá de las Columnas de Hércules y fuera del Mare Nostrum. A través de la narrativa autobiográfica y la prosa ensayística de la escritora argentina María Rosa Lojo, se analizan unos cuantos momentos, personajes y topoi de la migración/exilio de gallegos a Argentina.
Epigenetics and memigenetics

The field of epigenetics is expanding rapidly, yet there is persistent uncertainty in the definition of the term. The word was coined in the mid-twentieth century as a descriptor of how intrinsic, yet largely unknown, forces act with genes to channel progenitor cells along pathways of differentiation. Near the end of the twentieth century, epigenetics was defined more specifically as the study of changes in gene activity states. In some definitions, only those activity states that are inherited across cell division were considered. Other definitions were broader, also including activity states that are transient, or occurring in non-dividing cells. The greatest point of disagreement in these current definitions, is if the term should concern only inherited activity states. To alleviate this disparity, an alternative term, 'memigenetics', could be used in place of epigenetics to describe inherited chromatin activity states. The advantage of this term is that it is self-defining, and would serve to emphasize the important concept of cell memory. It would also free the term epigenetics to be used in a broader sense in accord with the meaning of the prefix 'epi', that is, as a descriptor of what is 'over' DNA at any point in time.
VAL SPRAY BERGAMO S.R.L. AUF DER MADE EXPO 2021

IM RAHMEN DIESES PROJEKTS UND DAMIT MIT DER TEILNAHME AN DER INTERNATIONALEN BAUMESSE „MADE EXPO 2021“ VERFOLGT DAS UNTERNEHMEN DAS HAUPTZIEL, SEINEN MARKTANTEIL ZU ERHÖHEN, DER IN DIESEM SINNE EIN SCHNELLES EXPONENTIELLES WACHSTUM IM VERGLEICH ZU DEN WETTBEWERBERN IM REFERENZSEKTOR GARANTIERT. DER AKTUELLE KONTEXT MIT DEM LOCKDOWN, DER L’HOME AN DER SPITZE DER WERTSKALA PLATZIERTE, BEDEUTET, DASS DIE MADE EXPO 2021 EINE WICHTIGE CHANCE FÜR UNTERNEHMEN IM BAUSEKTOR DARSTELLT. DIE ERHOLUNG VON DER AKTUELLEN SITUATION DER KRISE, IN DER FAST DIE GESAMTHEIT DER ITALIENISCHEN UNTERNEHMEN, MUSS PRIVAT UND INSTITUTIONEN ZUR SICHERHEIT VON SOZIALEN RÄUMEN, GESCHÄFTEN, BÜROS, FABRIKEN, GEBÄUDEN FÜR BILDUNG, SPORT, SPASS. VERÄNDERUNG IST EINE GROSSE CHANCE FÜR ALLE AZIENDS
Using multiple databases for training in emotion recognition: to unite or to vote?

We present an extensive study on the performance of data agglomeration and decision-level fusion for robust cross-corpus emotion recognition. We compare joint training with multiple databases and late fusion of classifiers trained on single databases, employing six frequently used corpora of natural or elicited emotion, namely ABC, AVIC, DES, eNTERFACE, SAL, VAM, and three classifiers i. e. SVM, Random Forests, Na¨ Bayes to best cover for singular effects. On average over classifier and database, data agglomeration and majority voting deliver relative improvements of unweighted accuracy by 9.0 % and 4.8 %, respectively, over single-database cross-corpus classification of arousal, while majority voting performs best for valence recognition.
Age impact on human papillomavirus vaccination in France in 2014: A study from the National Health Insurance Database

Human papillomavirus (HPV) is the main cause of cervical cancer. In France, since March 2007, HPV vaccination has been recommended for girls aged 14, in addition to a catch-up program for girls aged 15 to 23. In October 2012, the target population was changed to 11- to 14-year-old girls. The main objective of the present study was to evaluate the impact of the recommendation change on HPV vaccination coverage and compliance.We conducted a descriptive study of the Échantillon Généraliste des Bénéficiaires (EGB), which is a random 1/97 permanent sample from the French National Health Insurance Database. We focused our analyses on girls aged 11 to 17 years who were covered by the main insurance scheme (which covers 77% of the French population).We included 16,195 girls in this analysis. At the last update of the database (06/15/2014), 42% of 17-year-old girls had been vaccinated, with more than 50% of them having been vaccinated at age 14. Between January 2012 and June 2014, patients were reimbursed for a total of 7698 doses of the HPV vaccine. During the first trimester of 2013, the number of vaccinated 11- to 13-year-old girls increased, growing by more than 20-fold between the last trimester of 2012 (n=8) and the last trimester of 2013 (n=178). Less than 60% of the vaccinated patients received 3 injections.Implementation of the new recommendations was rapid but had only a slight impact on vaccination coverage.
Synergies for Green Growth Initiative-Energising the Impact of Innovation in the Mediterranean

SYNGGI aims to support the modular approved projects under the objective Green Growth of the priority Axis 1. Innovation of the Interreg MED Programme. The activities will support the sub-objective 1.1 and especially the Green Growth sub-priority, in order to serve the targets and strategies of the Managing Authorities for the MED Area. The project has been designed as an agile tool that will unify project results, support MED stakeholders and create a fruitful and collaborative environment for all implicated bodies._x000D_
Additionally the project will fully comply with the Interreg-MED strategy according to which the Horizontal projects will act as a bridge between the Modular projects, the Governance project-"platform"- of Axis 4 and the EU policy makers. The consortium members are powerful actors; networks or clusters of private and public character and have been chosen so that they can create a vast network of key groups including SMEs, academics, research institutes and governing authorities (Quadruple helix representatives)._x000D_
SYNGGI has been structured to support communication, capitalization activities and at the same time it aims beyond MED territories, across all EU countries, as deemed fit by the Programme Authorities. That way the project is a valuable adjustable partner for the Interreg Programme, ready to answer to its needs and offer innovative solutions that will produce unified results and solid proposals for environmental policies.