SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
A group contribution method to predict the melting point of ionic liquids

Abstract The melting points of several families of ionic liquids were predicted with a simple group contribution method. A set of 200 ionic liquids was used to obtain the contributions for anion and cation groups. The optimum parameters of the method were obtained using a genetic algorithm-based on multivariate linear regression. Then, the melting temperatures of another 200 ionic liquids were predicted, and the results were compared with experimental data available in the literature. The study shows that the proposed group contribution method represents an excellent alternative for the estimation of the melting point of diverse ionic liquids from the knowledge of their molecular structure, with an average deviation of 7%.
Engineering for life sciences doctoral programme

ENROL – the Engineering for Life Sciences Doctoral Programme” is set up to educate and train a new generation of high achieving early stage researchers (ESRs) to study and develop novel technologies and engineering solutions for the life sciences. The education philosophy of ENROL is based on creativity, curiosity, ability, and passion. Within the programme, we want to create a strong community of ESRs and mentor, guide, and stimulate them in their creativity to develop, based on their ideas, new materials and technologies as well as enhance their problem-solving skills and critical thinking. ENROL will recruit 20 academically exceptional ESRs who are committed to science and are strongly interested in pursuing a doctorate degree and carrying out research work in an interdisciplinary framework on the interface between engineering, technology and biology. The scientific goal of ENROL is to engineer functional interfaces between inorganic and bio-organic systems in order to push them towards new levels of understanding and technological applications. We thus propose a combined and synergistic effort based on the following three research areas (RA) within which 25 research projects will be offered for the candidates to choose from during recruitment and selection: RA1: Theoretical Prediction, Model Systems, and Analysis; RA2: Synthesis, Structuring & Instrumentation; RA3: Biological Applications. Each ESR will complete a research project within the frame of ENROL with specific objectives, a personalized time schedule and a career development plan (CDP) including transferrable skills training. The research project will be complemented by secondments at institutions of different scientific disciplines (within and outside ENROL) and industrial partner organizations. The secondments will strengthen the interdisciplinary and intersectoral collaborations, and the training of the ESRs will benefit from the multidisciplinary nature of the programme.
Exposome powered tools for healthy living  in urban settings

By 2030 more than 80% of Europe’s population will live and interact with a complex urban environment, consisting of a mixture of social and environmental factors. These factors include: where we live and work, where and what we eat, our social network, and what chemical substances we are exposed to. Individually or collectively these factors, known as the Urban Exposome, have an often modifiable impact on our health and provide important targets to improve population health. By studying the impact of the Urban Exposome on the major contributors to Europe’s burden of disease: Cardio-Metabolic and Pulmonary Disease, EXPANSE will address one of the most pertinent questions for urban planners, policy makers, and European citizens: “How to maximize one’s health in a modern urban environment?”.
EXPANSE will take the next step in Exposome research by: 1) bringing together the Exposome and health data of more than 55 million Europeans in administrative cohorts, in-depth Exposome, phenotype, and OMICs information for more than 2 million Europeans, and personalized Exposome assessment for 5,000 individuals living in five “Urban Labs”; 2) applying a novel approach to use ultra-high-resolution mass-spectrometry to agnostically screen for exogenous chemicals in 10,000 blood samples; 3) studying the evolution of the Exposome and health through the life-course via both (matured) birth and adult cohorts; and 4) evaluating the impact of changes in the Urban Exposome on the burden of Cardio-Metabolic and Pulmonary Disease.
EXPANSE will translate its insights and innovations into research and dissemination tools that will be openly accessible via the EXPANSE toolbox. By applying innovative ethics-by-design throughout the project, the social and ethical acceptability of these tools will be safeguarded. Tool discoverability and accessibility will be stimulated through the EXPANSE hub in which citizens, public sector policy makers, and private sector companies collectively participate. EXPANSE is part of the European Human Exposome Network comprised of 9 projects selected from this same call
METHODS AND SYSTEMS FOR SELECTIVE DATA COMMUNICATIONS FOR MULTI-MODE DEVICES

A method and apparatus for selectively utilizing short-range radio access technologies (RATs) when available to connect a multi-mode wireless device to a network are provided.
SIGNIFICANCE OF INNOVATIONS IN MARKETING FOR THE SUCCESS OF A COMPANY

ABSTRACT 

SIGNIFICANCE OF INNOVATIONS IN MARKETING FOR THE SUCCESS OF A COMPANY

Innovation is the leading force which directs all the businesses, companies to achieve success and growth. Innovation is not a short term process. It takes years to innovate. It adds value to the product, service, technology, market, price and application of the company. In the competitive scenario, the companies have options either innovate or die. The innovative companies are few, especially in India, in comparison to the global prospective. Innovation has different interpretations. For intelligent innovations, the companies should identify disruption, develop new products, markets and business models but for imaginative innovations, the companies must focus on creativity, application and market models .Innovation is about the commercial implementation of the best ideas, be they new products, services or new ways of thinking and doing things. Innovation should not be confused with invention. Invention is the first idea clicked in mind; innovation helps it to carry it out into practice. It refers to the radical changes in thinking, in processes or in services. Some might see it as a creative opening up of bright thoughts, others as a business strategy. Innovation is an opening up and closing down the process. Indian firms are facing both a domestic and a global competitive environment. To remain competitive in the world, every firm must focus on innovations and make it a part of their strategy and planning. The present paper focuses on how companies innovate? Why it is important? What is the state of innovation in Indian Companies? How it can be made possible in maximum companies?
Prenatal Exposures of Male Rats to the Environmental Chemicals Bisphenol A and Di(2-Ethylhexyl) Phthalate Impact the Sexual Differentiation Process

The increasing incidence of reproductive anomalies, described as testicular dysgenesis syndrome, is thought to be related to the exposure of the population to chemicals in the environment. Bisphenol A (BPA) and di(2-ethylhexyl)phthalate (DEHP), which have hormonal and antihormonal activity, have attracted public attention due to their presence in consumer products. The present study investigated the effects of BPA and DEHP on reproductive development. Timed-pregnant female rats were exposed to BPA and DEHP by gavage from gestational days 12 to 21. Results showed that prenatal exposures to test chemicals exerted variable effects on steroidogenic factor 1 and GATA binding protein 4 protein expression and increased (P < .05) sex-determining region Y-box 9 and antimüllerian hormone protein in the infantile rat testis compared with levels in the control unexposed animals. Pituitary LHβ and FSHβ subunit protein expression was increased (P < .05) in BPA- and DEHP-exposed prepubertal male rats but were decreased (P < .05) in adult animals relative to control. Exposure to both BPA and DEHP in utero inhibited (P < .05) global DNA hydroxymethylation in the adult testis in association with altered DNA methyltransferase protein expression. Together the present data suggest that altered developmental programming in the testes associated with chemical exposures are related to the disruption of sexual differentiation events and DNA methylation patterns. The chemical-induced effects impact the development of steroidogenic capacity in the adult testis.
ProdyCovid-19

Prodyalca beabsichtigt, seine Anlagen mit Ausrüstung zur Verfügung zu stellen, Umschulungen, um ihre Produktionskapazität um 40 % zu erhöhen, sowie Renovierungsarbeiten, um die Herstellung von PSA zu beginnen, um die Pandemie zu bekämpfen.
Network Iron Curtain: Hide Enterprise Networks with OpenFlow

In this paper, we propose a new network architecture, Network Iron Curtain that can handle network scanning attacks automatically. Network Iron Curtain does not require additional devices or complicated configurations when it detects scanning attack, and it can confuse scanning attackers by providing fake scanning results. When an attacker sends a scanning packet to a host in Network Iron Curtain, Network Iron Curtain detects this trial and redirects this packet to a honeynet, which is installed with Network Iron Curtain. The honeynet will respond to this scanning packet based on the predefined policy instead of the original target host. Therefore, the attacker will have fake information (i.e., false open port information). We implement a prototype system to verify the proposed architecture, and we show an example case of detecting network scanning.
An investigation on the micro cutting performance of diamond-like carbon coatings using finite element method

In an effort to prolong the tool life and improve the tooling performance in micro cutting, it is attractive and promising to apply diamond-like carbon (DLC) coatings on micro tools. Comprehensive understandings of micro cutting performance under various coating circumstances are essential for choosing optimum coating conditions so as for potentially improving cutting tool designs. In the study, the cutting characteristics of a DLC-coated tool has been extensively evaluated and compared with those of an uncoated tool under constant and various uncut chip thickness (UCT) using 2D plane-strain finite element method (FEM). The thermo-mechanical modelling approach has been validated at different UCT in micro milling. Besides, the influence of coating friction coefficient, coating thickness as well as UCT on the cutting forces and tool temperatures has been determined and analysed through design of experiment. It is found that appropriate UCT in micro cutting is of the greatest importance for achieving desirable coating performance of micro tools.
The worldvolume action of kink solitons in AdS spacetime

A formalism is presented for computing the higher-order corrections to the worldvolume action of co-dimension one solitons. By modifying its potential, an explicit "kink" solution of a real scalar field in AdS spacetime is found. The formalism is then applied to explicitly compute the kink worldvolume action to quadratic order in two expansion parameters--associated with the hypersurface fluctuation length and the radius of AdS spacetime respectively. Two alternative methods are given for doing this. The results are expressed in terms of the trace of the extrinsic curvature and the intrinsic scalar curvature. In addition to conformal Galileon interactions, we find a non-Galileon term which is never sub-dominant. This method can be extended to any conformally flat bulk spacetime.
Co-Creation better sme support through improving the process of investments in innovative ideas

The main goal of this project is to increase the agencies efficiency in the field of capital investment management and financial support for innovative SMEs that are launching new innovative products/technologies (R+D) by finding tools and methods to improve the investment process, especially by facilitating the SMEs cooperation with corporate companies. Four innovation agencies (IAs) will work on the whole investment process for SMEs’ innovative technologies/solutions to ensure the best quality in the selection of the SMEs and their management staff and proposals.  The IAs will also pay attention how to choose the best qualified and experienced experts to the process of evaluating ideas. Besides, the main emphasis will be put on the validation process in order to ensure the SMEs feedback from the potential business partners and facilitate them to start the cooperation with corporates companies and acquire the financial (short or long term) support. Innovation agencies involved in the project will work using twinning+ methodology in order to create valuable Design Options Paper regarding whole investment process including the selection of the SMEs, evaluation, validation leading to obtain the capital by SMEs. The new approach to investment process run by IAs can strengthen the position of innovation centres on the national and international arena as a high value added business support organisations regarding investment area and can limit the risk of investment in highly innovative SMEs solutions. The result of peer learning activities delevoped in the Design Option Paper will be implemented in the agencies as improved investment programmes and will be  put into practice by IAs.  The results of the project can enhance also the possibilities of obtaining by SMEs not only the short but also the long-term capital from business and financial partners what can enhance SMEs growth, competitiveness and facilitate their focusing on profitability of innovative solutions.
Combining machine learning and quantum chemistry for the design of homogeneous catalysts

While machine learning (ML) methods are already commonly applied in heterogeneous catalysis, the use of such methods for the design of homogeneous catalysts is a largely overlooked field. A recent proof-of-principle study showed the huge potential of ML in homogeneous catalysis by demonstrating that activation barriers in a set of related transition metal (TM) complexes can be learned. ML4Catalysis has three objectives that go far beyond this state of the art:

1) Automation of quantum chemistry (QC) calculations by combining different existing computational tools in a unified framework, with the goal to create powerful high-level computational workflows in a synergistic way.

2) Going beyond the accuracy of density-functional theory (DFT), which is often inaccurate for systems with multireference (MR) character like TM complexes. To this end, we will develop an ML method that is trained to predict the difference between energies at the DFT level and at a more accurate multireference level.

3) A pool of entirely novel catalysts for a given reaction will be generated by using a variational autoencoder (VAE) architecture. A Gaussian Process (GP) model trained to predict key activation barriers on a subset of these complexes will be used to screen the remaining set for the most promising candidates. This approach will be applied to find novel CO2 hydrogenation catalysts, which are important for the creation of fuels and feedstock chemicals from natural resources.

With its focus on catalysis and modern QC and ML methods, ML4Catalysis is highly relevant for two of the European Commission’s current priorities: “A European Green Deal” and “A Europe fit for the digital age”. The interdisciplinary project combines knowledge of the researcher on modern MR methods and the electronic structure of TM complexes with the expertise in automation, ML, and homogeneous catalysis at the host institution and will leave the researcher well-prepared for an independent career.
Demonstration and commercialisation of the aorta-innovation

Alginor’s green innovation, AORTA, increases the utilisation ratio of seaweeds from approximately 15 and up to 100% without using formaldehyde and other harmful chemicals. The company’s harvesting method, Hypomar, interferes minimally with the seabed and surrounding marine life during harvesting. Combined, this leads to total utilisation of the raw material, zero waste and emissions, and a 12-product portfolio of established and novel high-quality ingredients, e.g. alginate, fucoidan, native cellulose and polyphenols, for sale to seven global market segments, including pharmaceutical and nutraceutical companies. The main objective of the DACOTA proposal is to demonstrate and commercialise the AORTA technology on an industrial scale, including the extraction and production of Alginor’s 12-product portfolio. This objective will be achieved by completing the two following intermediate objectives; 

1)	Completing designs for the API demonstrator biorefinery and demonstrator harvesting vessel, each with an annual capacity of 10,000 tonnes of wet raw material; and 
2)	the construction of the API demonstrator biorefinery and the construction/acquisition of a demonstrator harvesting vessel 

Objective 1 will be completed during the grant part of the project and has a total CAPEX of €2,5 million, and includes first draft, complete construction drawings, equipment lists, subcontractors, overview of GMP requirements and necessary standards, and product data sheets. 

Objective 2 will be completed during the equity part of the project and includes ordering equipment, installation and commissioning of equipment, demonstrator construction and market deployment. Objective 2 has a total CAPEX of €31.06 million, whereas €15 million is provided by the EIC, €5.57 million is provided by Alginor’s investors through private placements, and the remaining €10.49 million is provided by different loans. 

Total CAPEX is €33.56 million.
METHOD FOR AMPLIFYING ALL DNA FRAGMENTS IN A SAMPLE

The invention concerns a method for characterising all the DNA fragments in a sample, said fragments being small in size and often damaged and/or in the form of traces in particular in finished or transformed products. The invention is characterised in that it comprises a preliminary amplification step of all the DNA fragments before an optional specific amplification, which makes the method highly suitable for analysis, by molecular hybridisation, in particular on DNA chips, of all the DNA derived from any type of sample possibly of high complexity and/or having being subjected to denaturing treatment.
Simplified unscented particle filter for nonlinear/non-Gaussian Bayesian estimation

Particle filters have been widely used in nonlinear/non-Gaussian Bayesian state estimation problems. However, efficient distribution of the limited number of particles in state space remains a critical issue in designing a particle filter. A simplified unscented particle filter (SUPF) is presented, where particles are drawn partly from the transition prior density (TPD) and partly from the Gaussian approximate posterior density (GAPD) obtained by a unscented Kalman filter. The ratio of the number of particles drawn from TPD to the number of particles drawn from GAPD is adaptively determined by the maximum likelihood ratio (MLR). The MLR is defined to measure how well the particles, drawn from the TPD, match the likelihood model. It is shown that the particle set generated by this sampling strategy is more close to the significant region in state space and tends to yield more accurate results. Simulation results demonstrate that the versatility and estimation accuracy of SUPF exceed that of standard particle filter, extended Kalman particle filter and unscented particle filter.
ELECTRONIC MESSAGE DELIVERY WITH ESTIMATION APPROACHES

Message delivery approaches are disclosed through which senders can guarantee that their messages are desired by intended recipients. In one embodiment, a Sender agrees with a Service Operator to pay a fine for each message that is reported as an unwanted by its Recipient. For senders that agree in advance to pay such fines, Service Operators may provide preferential message routing around "spam" filters knowing that a guarantee is in place. If the Recipient reports that the message is unwanted, the Service Operator can penalize the Sender by a fine in the agreed amount, or by modifying a bond ratio value, rating, or other experience value associated with the Sender. Estimates of the complaints expected for a Sender may be used to determine the outcomes of the tests applied by the Receiver.
Leveraging crowd skills and consensus for collaborative web-resource labeling

Abstract In this paper, we propose a three-stage approach called CLabel  for enforcing collaborative web-resource labeling in form of a crowdsourcing process. In CLabel , the results of both crowdsourcing and automated tasks are combined into a coherent process flow. CLabel  leverages on crowd preferences and consensus, for capturing the different interpretations that can be associated with a considered web resource in form of different candidate labels and for selecting the most agreed candidate(s) as the final result. CLabel  succeeds to be particularly appropriate for application to labeling problems and scenarios where human feelings and preferences are decisive to select the answers (i.e., labels) supported by the majority of the crowd. Moreover, CLabel  succeeds in providing label variety when multiple labels are required for a suitable resource annotation, thus avoiding duplicate or repetitive labels. A real case-study of collective web-resource labeling in the music domain is presented, where we discuss the task/consensus configuration and obtained labels as well as the results of two specific tests, respectively devoted to the analysis of label variety, and to the comparison of CLabel  results against a reference classification system, where music resources are labeled using predefined categories based on a mix of social-based and expert-based recommendations.
Gonorrhea Treatment Practices in the STD Surveillance Network, 2010–2012

Replacing oral treatments with ceftriaxone is a central component of public health efforts to slow the emergence of cephalosporin-resistant Neisseria gonorrhoeae in the United States; US gonorrhea treatment guidelines were revised accordingly in 2010. However, current US gonorrhea treatment practices have not been well characterized.Six city and state health departments in Cycle II of the STD Surveillance Network (SSuN) contributed data on all gonorrhea cases reported in 101 counties and independent cities. Treatment data were obtained through local public health surveillance and interviews with a random sample of patients. Cases were weighted to adjust for site-specific sample fractions and for differential nonresponse by age, sex, and provider type.From 2010 to 2012, 135,984 gonorrhea cases were reported in participating areas, 15,246 (11.2%) of which were randomly sampled. Of these, 7,851 (51.5%) patients were interviewed. Among patients with complete treatment data, 76.8% received ceftriaxone, 16.4% received an oral cephalosporin, and 6.9% did not receive a cephalosporin; 51.9% of persons were treated with a regimen containing ceftriaxone and either doxycycline or azithromycin. Ceftriaxone treatment increased significantly by year (64.1% of patients in 2010, 79.3% in 2011, 85.4% in 2012; P = 0.0001). Ceftriaxone use varied widely by STD Surveillance Network site (from 44.6% to 95.1% in 2012).Most persons diagnosed as having gonorrhea between 2010 and 2012 in the United States received ceftriaxone, and its use has increased since the release of the 2010 Centers for Disease Control and Prevention STD Treatment Guidelines.