SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Trading firms in the services sectors: comparable evidence from four EU countries

We establish a set of stylised facts for trade and trading firms in five market services sectors using comparable firm- and activity-level data from four EU countries. Our analysis shows that exports account for much lower shares of overall sales in the services sectors than in manufacturing. This is because fewer firms are engaged in trade in the services sectors and also because within particular sectors firms trade a lower share of their sales on average. Services producers trade mostly goods, but in terms of value, trade in services is much more important to them than to manufacturers. Larger and more productive firms are more likely to be two-way traders and to engage in both goods and services trade. Trade by services firms is somewhat less dominated by firms that both export and import than trade by manufacturing firms. Few firms export many services or to many countries. The value of services exports is increasing in the number of markets served but not necessarily in the number of services traded.
An innovative solution to neurological walking and balance disabilities

Neurological conditions such as Parkinson’s and cerebral stroke cause motor disabilities, resulting in walking and balance impairment. These disorders severely affect patient’s independence and quality of life. State-of-the-art treatments and medications have little or no effect. Gondola AMPS is a game-changing proprietary medical device by Gondola Medical Technologies that delivers Automated Mechanical Peripheral Stimulation (AMPS). After treatment, most patients experience a drastic improvement of their motor symptoms. This non-invasive treatment takes less than two minutes and two applications a week are sufficient for a long-lasting effect. Gondola AMPS has already been adopted by 450 patients in several countries; boosted self-confidence and quality of life are consistently reported. The treatment can be delivered at home via a personalised device or at medical settings with a multi-patient device. 

In the EU only, more than 7 million Parkinson patients and stroke survivors are affected by long-term disabilities and this will continue to grow at a rapid pace. Mobility losses and related care, equipment and infrastructure, bear huge costs estimated to represent an annual €50+ billion. Gondola AMPS contributes to addressing this major economic and societal challenge. The invention is patent-protected in several countries. Ten clinical trials and as many peer-reviewed scientific publications conclude to the effectiveness of Gondola AMPS at strongly improving motor symptoms. Gondola AMPS brings a non-invasive and cost-effective answer to a widespread unmet medical need. Break-even is planned in less than three years while making Gondola Medical Technologies a global leader. To support this strong growth more than 150 highly qualified jobs will be created across Europe and eventually in USA, Canada and Japan.
Efficient photobioreactor for the production of algae-based chemical resources

The overall goal of Cleantech Innovations (CTI) is the upscaling of an innovative photobioreactor (a reactor to grow algae), that exceeds current alternatives on both efficiency and cost of operation, providing a competitive alternative to produce high-end bio-based components for the food industry. By optimizing the light exposure and liquid flow rate, the technology’s efficiency is expected to double its efficiency compared to current solutions.

Competing companies producing algae are encountering issues in using the wrong technologies, and producing the wrong output (wrong market). CTI’s revolutionary LAURA platform has proven a solution to the technical and operational disadvantages that are encountered in current production setups, whilst focussing on high value, high margin output products, i.e. for the food and pharma industries.

The company’s goal is to offer a commercially viable reactor that can (competitively) grow algae, which can be used as a sustainable resource in the production of valuable, natural ingredients, specifically targeting the production of i.e. special proteins, omega-3 and omega-6 fatty acids, pigments, anti-oxidants, flavour enhancers, and precursors for medicines. 

The objective for this Phase 1 feasibility study is to assess an EU roll-out plan and business plan determining for what specific end-products the LAURA platform should be launched for optimal scale-up..
M-estimation with probabilistic models of geodetic observations

The paper concerns $$M$$
 -estimation with probabilistic models of geodetic observations that is called $$M_{\mathcal {P}}$$
 estimation. The special attention is paid to $$M_{\mathcal {P}}$$
 estimation that includes the asymmetry and the excess kurtosis, which are basic anomalies of empiric distributions of errors of geodetic or astrometric observations (in comparison to the Gaussian errors). It is assumed that the influence function of $$M_{\mathcal {P}}$$
 estimation is equal to the differential equation that defines the system of the Pearson distributions. The central moments $$\mu _{k},\, k=2,3,4$$
 , are the parameters of that system and thus, they are also the parameters of the chosen influence function. The $$M_{\mathcal {P}}$$
 estimation that includes the Pearson type IV and VII distributions (
 $$M_{\mathrm{PD(l)}}$$
 method) is analyzed in great detail from a theoretical point of view as well as by applying numerical tests. The chosen distributions are leptokurtic with asymmetry which refers to the general characteristic of empirical distributions. Considering $$M$$
 -estimation with probabilistic models, the Gram–Charlier series are also applied to approximate the models in question (
 $$M_{\mathrm{G-C}}$$
 method). The paper shows that $$M_{\mathcal {P}}$$
 estimation with the application of probabilistic models belongs to the class of robust estimations; $$M_{\mathrm{PD(l)}}$$
 method is especially effective in that case. It is suggested that even in the absence of significant anomalies the method in question should be regarded as robust against gross errors while its robustness is controlled by the pseudo-kurtosis.
Artificial intelligence saas for prescribing optimal retail merchandising decisions

During the fall of 2018, retail sales broke new records throughout Black Friday, Cyber Monday and Single’s day. This should be good news for retailers, but the reality is that there’s a dark side to these triumphs - a large part of growth is driven by an increase of promotions, which is eroding the margins of many retailers. In fact, our data suggests that more than 70% of all supplier promotions and well above 30% of all retail promotions are unprofitable, even after adjusting for supplier funding. Particularly this hits the SMEs that feel much pressure from large players such as Amazon or Alibaba but do not have necessary competence and capacity to survive the competition. 

Formulate aims to provide a solution to these challenges by offering its DecisionCloud, a platform that combines our AI with company’s transaction data to create better stores and more satisfied customers. Whether it comes to selecting promotion items, the optimal price tactic, right media, or campaign timing, we empower the right decision for any retailer’s business. Based on our findings and our collaboration with academia, Formulate can double the impact from the merchandising decisions. 

With its full automation of AI, distributed analytics capabilities, low IT cost and easy on-boarding, Formulate stands out of competition. But most importantly, the product creates a much-needed market change and generates great positive impact on the retailer-supplier dynamics. Our ultimate goal is to enable retailers of all sizes – not only the largest tech giants – to have access to advanced AI that automates merchandising decisions.

The key objective of our project is to transform an initial business plan into a robust strategy for international commercialization and to prepare for a Phase 2 development. With this objective in mind, our Phase 1 project will consist of a more precise market evaluation, assessing technological needs for further scaling and optimizing our go-to-market strategy
ASPHALT COMPOSITION

The present invention relates to an asphalt composition containing an asphalt and a polyester resin composition, wherein the polyester resin composition contains a polyester resin and a hydrocarbon-based compound (i). The polyester resin has a structural unit derived from an alcohol component and a structural unit derived from a carboxylic acid component, wherein the carboxylic acid component contains at least one succinic acid compound selected from the group consisting of an alkylsuccinic acid and an alkenylsuccinic acid. The polyester resin composition has a glass transition point comprised between -70°C and 30°C and is present in the asphalt composition in an amount of ≥ 0.5 parts by mass and ≤ 25 parts by mass relative to 100 parts by mass of the asphalt.
REQUIRED ADDITIONAL HEATING POWER OF BUILDING DURING INTERMITTED HEATING

By introduction of intermittent heating of building we can reduce the thermal energy consumption for heating. But it requires the additional power of heating system. It is determined that the most effective solution for energy savings is to enlarge the heating power approximately by 50% for most of buildings. The simulation has showed that for buildings with a medium thermal inertia (time constant τ = 144 h) the expenses by employing the intermittent heating (reduced temperature period: 12 h on working days and 48 h at weekends), pays back after one year. By designing the heating system we must pay attention to thermal inertia of building. Our research showed that for various thermal inertias of building, the adequate modes of intermittent heating must be chosen. Santrauka Šildant pastata, esant papildomai šiluminei galiai, galima sumažinti sunaudojamos šilumines energijos. Nustatyta, kad papildomos šilumines galios (+50 %) sanaudos, siekiant pagreitinti temperatūros padidinima vidutinio masyvumo (τ = 144 h) pastatu patalpose ir taikant protarpini šildyma (12 h darbo dienomis ir 48 h savaitgaliais), atsiperka po vieneriu metu. Projektuojant reikia atsižvelgti i pastato paskirti, masyvuma ir šildymo sistemos galia, siekiant sutaupyti šilumines energijos bei gauti ekonomine nauda, taikant protarpini šildyma. Tyrimai parode, kad ivairaus masyvumo pastatams turi būti taikomi atitinkami protarpinio šildymo periodai.
Elites, networks, and power in modern urban china (1830-1949).

This project proposes a step-change in the study of modern China reliant upon scalable data-rich history. It will deliver precise historical information at an unprecedented scale from heretofore untapped sources - as well as reshaping the analysis of existing sources - to create a new dimension in the study of the transformation of elites in modern China. It will deploy an array of cutting-edge digital methods — including data mining, sampling, and analysis within an integrated virtual research environment. To establish the validity of this approach, the project focuses on the three urban areas (Shanghai, Beijing/Tianjin, Canton/Hong Kong) that had the most profound impact on the course of modern Chinese history. Starting from the mid-19th century, the narrow elite of Confucian-trained scholar-officials that had ruled the country for a millenium was finally swept away. Power and social prestige shifted to socially more diversified groups of Chinese and foreigners who operated within interlocked transnational networks. The project will challenge the China-centered and group-based approach dominant in the historical literature of the past two decades. The project envisions elites in urban China as actors whose status, position, and practices were shaped by the power configurations that developed over time and whose actions through institutions and informal/formal networks in turn were a determining factor in redrawing social and political boundaries. The project will place the emphasis on the networks through which information, capital, and individuals circulated. It will investigate the transnationalization of elites as a process that overstepped the limits of institutions and nation states. The key issue that the project will address is breaking through existing limits of access to historical information that is embedded in complex sources and its transformation into refined, re-usable and sustainable data for contemporary and future study of modern China.
Comprehensive molecular characterization of secondary organic aerosol formation in the atmosphere

Key words: Atmospheric secondary organic aerosol, chemical ionization mass spectrometry

The increase in anthropogenic atmospheric aerosol since the industrial revolution has considerably mitigated the global warming caused by concurrent anthropogenic greenhouse gas emissions. However, the uncertainty in the magnitude of the aerosol climate influence is larger than that of any other man-made climate-perturbing component. 

Secondary organic aerosol (SOA) is one of the most prominent aerosol types, yet a detailed mechanistic understanding of its formation process is still lacking. We recently presented the ground-breaking discovery of a new important compound group in our publication in Nature: a prompt and abundant source of extremely low-volatility organic compounds (ELVOC), able to explain the majority of the SOA formed from important atmospheric precursors. 

Quantifying the atmospheric role of ELVOCs requires further focused studies and I will start a research group with the main task of providing a comprehensive, quantitative and mechanistic understanding of the formation and evolution of SOA. Our recent discovery of an important missing component of SOA highlights the need for comprehensive chemical characterization of both the gas and particle phase composition. 

This project will use state-of-the-art chemical ionization mass spectrometry (CIMS), which was critical also in the detection of the ELVOCs. We will extend the applicability of CIMS techniques and conduct innovative experiments in both laboratory and field settings using a novel suite of instrumentation to achieve the goals set out in this project.

We will provide unprecedented insights into the compounds and mechanisms producing SOA, helping to decrease the uncertainties in assessing the magnitude of aerosol effects on climate. Anthropogenic SOA contributes strongly to air quality deterioration as well and therefore our results will find direct applicability also in this extremely important field.
A VIOLÊNCIA DOMÉSTICA NO MUNICÍPIO DA CELA, PROVÍNCIA DO CUANZA-SUL – ANGOLA: UM FENÓMENO QUE TEM PREOCUPADO O GOVERNO E A SOCIEDADE

A família constitui o núcleo fundamental de uma sociedade, constituída por um grupo sanguíneo onde se transmitem valores morais e culturais e a Educação formal e informal, são pilares fundamentais para que ela guie-se. Partindo sempre do princípio de que, quem educa uma mulher, está educar uma sociedade. A desestruturação da família, têm causado vários transtornos nos lares e vários investigadores apontam o surgimento da violência doméstica como principal causa e depois, surge a delinquência nos filhos. Desta forma, ao longo do presente estudo, vários autores defenderam como principais causa do fenómeno violência domestica, o consumo excessivo de bebidas alcoólicas, a perda de valores religiosos, a infidelidade conjugal, o baixo nível de escolaridade entre os parceiros, a pobreza, acusações de feitiçaria, o desemprego etc. O presente trabalho de campo e de natureza exploratória com abordagem quanti-qualitativa, enquanto produto de uma investigação bibliográfica e empírica, tem como objectivo reflectir sobre o processo de enfrentamento à violência contra as mulheres no Município da Cela, Província do Cuanza Sul. Para o desenvolvimento do mesmo, entrevistou-se um grupo focal de 14 mulheres, 6 homens com uma amostra de 20 participantes, entre eles, autoridades tradicionais, religiosas, membros da sociedade civil e da Direcção Municipal da Família e Promoção da Mulher, membros ligados aos Serviços de Investigação Criminal do Município da Cela, A colecta de dados ocorreu de Outubro á Novembro de 2021.
Temporal analysis and remote monitoring of ECG signal

The system “Temporal analysis and remote monitoring of ECG signal” is developed to assist patients and doctors in health care. An arrhythmia is an abnormal heart rhythm. It can cause the heart rate to be too slow or too fast. Enough blood is not provided by the heart to the body when arrhythmias are severe or last long enough. This can cause patient to feel tired, lightheaded or may make him pass out. It can also cause death. Before treatment, it's important for the doctor to know where an arrhythmia starts in the heart and whether it's abnormal. An electrocardiogram (ECG) is often used to diagnose arrhythmias. “Temporal analysis and remote monitoring of ECG signal” is meant to acquire ECG signal from patient and analyze it to detect and classify its anomalies and abnormalities. This is achieved by extracting amplitudes and durations of parameters of ECG waveform such as P wave, QRS complex, RR interval and PR durations. These parameters are compared with the normal values to determine the type of abnormality. Database of the patient is maintained for further use by the doctor. Under critical conditions, transmission scheme will ensure successful transmission of critical messages to doctors via Global system for mobile (GSM) network.
Heterogeneous integrated platform for electronic system redistribution: a revolutionary i/o planning solution for micro/nano 2.5-d electronic systems design

HIPER is an advanced EDA (Electronic Design Automation) software for the optimization of I/O Planning of 2.5-D micro/nano electronic systems, leveraging a 30% reduction in the production costs, a 50% decrease in design lead-time, and an improvement in the overall product performance due to 65% reduction in wire crossing and 80% reduction in total connections length. HIPER is capable of analysing, designing and optimizing the 2.5-D I/O planning of all electronic components (ICs, silicon interposer and package(s)) thanks to its software platform and revolutionary algorithms. It is introduced as a stand-alone solution which can be integrated in any EDA design platform and customized to the specific design/manufacturing process of any semiconductor manufacturer with limited efforts. HIPER is a disrupting EDA solution developed by MONOZUKURI S.p.A., a startup specialized in the Input/output (I/O) management, planning and optimization of micro/nano electronic systems. HIPER will enable the design and manufacture of complex 2.5-D micro/nano electronic components and it is expected to lead the I/O Planning of 2.5-D electronic systems niche market for a long time with the proper IP protection. The solution, which is already backed by many prospective clients, targets major semiconductors companies, design houses, package manufacturers, and OSAT businesses, and is expected to be used by leading electronic companies in Europe (Italy, Germany, UK), ASIA, and USA within three years after its commercialization. The Global Electronic Design Automation market is expected to grow at a CAGR of 9.93% over the period 2013-2018 which provides an encouraging base for introducing new EDA tools. Moreover, HIPER perfectly serves the “Electronics Strategy for Europe”, adopted in May 2013 by the European Commission.
Social cognitive robotics in the european society

SOCRATES is a PhD training program for 15 young researchers, created to develop the field of Social Robotics with an application focus on Robotics in Eldercare. 
The research in Social Robotics has a common theme of Interaction Quality, which is a concept for characterization of how a specific mode of interaction is fit for a given task, situation, and user. Interaction Quality often changes, for instance if an older adult gets tired and loses focus when interacting with a robot. Interaction Quality also depends on the robot’s functionality and design, and will be addressed from a range of perspectives in five research workpackages:
• Emotion: novel multi-modal methods to perceive human emotions from facial expressions, body motion, auditory and language cues
• Intention: new techniques to infer human goals and intention from natural language and video analysis
• Adaptivity: techniques to adapt a robot’s behaviour to user needs
• Design: Novel design methods for hardware, interfaces, and safety
• Acceptance: Procedures for evaluation of user acceptance
Additional value and impact is generated by the unique multidisciplinary collaboration between academic disciplines that normally do not work together; computer science, cognitive science, biomechanics, ethics, social psychology, and social science. Intersectoral collaboration between academia, caregivers, business developers, and robot manufacturers will further strengthen novelty and impact by ensuring that relevant needs are addressed, and that research result are both economically and technically feasible. 
The outcome of SOCRATES will be a new generation of researchers with the ability to interact with scholars from different ‘schools-of-thought’ in areas that are well within as well as outside of their areas of expertise.
Study on Ultrasonic Extraction of Oligomeric Proantho Cyanidin from Chestnut Shell

In this paper, the ultrasonic extraction method of Oligomeric Proantho Cyanidin with chestnut shells as raw materials is studied. Using single factor method we study the effects of different extraction time, extraction reagent, extracting agent concentration and ultrasonic power on the extraction rate of Oligomeric Proantho Cyanidin. After analyzing these various factors, we make the orthogonal experiment with the factors including extraction time, extraction agent concentration, extraction temperature, solid-liquid ration, and get the optimal conditions. The experimental results show that the optimum extraction conditions are as follow: time of 30 min, extracting agent of 40% (v %) ethanol aqueous solution, extraction temperature of 40 °C, solid-liquid ratio of 1: 25 g/mL and ultrasonic power of 100 w; under these conditions the extraction rate of Oligomeric Proantho Cyanidin is 3.418%.
Noise Exposure in Preterm Infants Treated with Respiratory Support Using Neonatal Helmets

In many cases, assisted respiratory support is needed to ensure the survival of premature infants. The present study is focused on evaluating the noise exposure experienced by premature newborns under CPAPa respiratory support by means of a neonatal helmet to compare the discomfort measured in one-third octave bands, in terms of the curve of 40 phons, and analyzing the influence that HMEb filter placed on the helmets have during the delivery of oxygen-air, on the levels of sound pressure. Likewise, the influence of the levels of sound pressure is quantified at the ear level, in linear and thirds of octaves, depending on the air-oxygen flow of the neonatal helmet and of the filters placed in the helmets. The methodology used to reach conclusions in this study includes the application of the variance analysis statistical technique on a total of 4968 samples. This article highlights how the HME filters do not decrease levels of sound but, in certain situations, increase them. On the other hand, the levels of sound produced by the CPAP systems with neonatal helmets are tested to produce sound levels above those recommended by different organizations for NICUsc. © S. Hirzel Verlag.