SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Linking social network dynamics and demographic change in wild populations

Quantifying the interplay of demography and social structure is a key challenge in diverse research fields from ecology to sociology. Social relationships, and the way they are interconnected to form the social network of a population, are closely linked to population dynamics. Changes in population size can change these networks, with implications for important ecological or evolutionary processes, such as cooperation, conflict and infectious disease spread. For example, links between social structure and demography can influence whether a population acts as a reservoir host of diseases with societal impacts, or shape how social animals respond to sudden human-induced environmental change. However, due to the complexity of quantifying the demography and social network structure of wild populations, we still understand little about how interplay between the two arises or when it is important. The objectives of the proposal are to develop a modelling framework that allows the integration of demography and social network structure, and apply it to gain insights into social and disease dynamics in European badgers. Through cross-disciplinary collaboration, I will integrate cutting-edge statistical approaches in the modelling of social networks and population dynamics, and produce software to make these new tools widely available to other researchers. The host lab, led by Dr Gimenez has world-leading expertise in mathematical ecology, animal demography and conservation. The candidate, Dr Silk, is an expert in applying social network analysis to study behavioural dynamics and infectious disease transmission. This combined skillset will enable the development of innovative statistical tools that can be applied across research disciplines (e.g. ecology, sociology, public health), as well as address timely questions at the interface of population biology and behavioural ecology that have wide-reaching implications for wildlife conservation and management.
METHOD, COMPUTER PROGRAM AND SERVER SYSTEM FOR COMMUNICATING WITHIN A COMMUNITY

The invention discloses a method, computer program and server system for within a community in a communication network, a community comprising a plurality of members. The method comprises storing in a database (26) a contact list for each member (204,208) of the community (28), the contact list comprising at least one member (202, 206), whose visibility is either public or secret for friend members of the community, friend members being those who are able to send messages between each other, enabling a first friend member to send messages directly to a public member in the contact list of a second friend member, and preventing the first member for seeing a secret member in the contact list of the second friend member.
A simple parity violating gravity model without ghost instability

In this paper we consider a parity violating gravity model without higher derivatives, thus ghost free. This model is constructed from the tetrad and its derivatives and coupled to a dynamical scalar field, like axion. It can be reduced from the Nieh-Yan term within the framework of teleparallel gravity. We apply this model to cosmology and investigate its consequences on cosmological perturbation theory. We find that the coupled dynamical scalar field lost its independent dynamics at the linear order and the parity violating term itself behaves like a viscosity. For gravitational waves, this model produces velocity difference between left- and right-handed polarizations, but generates no amplitude discrepancy.
Transcriptomic analysis improving models to predict microbial safety of ready-to-eat foods

Listeria monocytogenes (Lm) is a potentially deadly pathogen with the ability to grow in a wide range of ready-to-eat (RTE) food products. This pathogen is of major concern for food stakeholders, as numerous product recalls from markets and an increasing number of outbreaks are occurring in Europe. In this economic and public health context, more research is urgently needed to understand and prevent Lm growth in RTE foods. TRuST is about creating a robust growth model to predict and manage Lm growth in RTE foods, especially lightly preserved and RTE seafood where contamination with Lm is particularly high. While some mathematical models exist today for this purpose, there is a general consensus that more accurate models are needed. For example, models incorporating gene expression (GE) data and growth variability (GV) between different isolates. My approach will be to combine GE and GV data in the existing and extensively used Lm growth model developed at DTU Food (host institution). This will be obtained by using RNA sequencing techniques and innovative mathematical modelling approaches. The newly generated models will be freely available as part of the Food Safety Spoilage Predictor (FSSP) software, developed at DTU Food. FSSP is today used in more than 125 countries by more than 10,000 users, benefitting the food industry, authorities and consumers worldwide. The team at DTU Food has a solid experience with Lm in RTE foods, food safety modelling, and software development. The secondment supervisor (UZH) is an expert in the genomics and transcriptomics of Lm. I have large experience in predictive microbial modelling and analytical food microbiology techniques. With the MSCA fellowship, I will benefit from the complementary expertise at DTU Food and UZH and facilitate collaboration between the two institutions. Moreover, this fellowship will be instrumental to prepare me as an expert scientist capable to assist the resolution of future food safety issues in Europe.
Cost evaluation of innovative offers using detailed equipment, process and network modeling languages

The fast evolution of networks, techniques and tools makes designing the business case for a new high tech customer offer a collaborative task, in which multiple specialized firms each provide their own expertise to the offer, making it as such the most advanced, yet cost-effective on the market. While in the past, the design of such a business case was made using the back of an envelope calculation, the complexity such collaborative effort entails, increases the need for specific tools for modeling the firms' interaction without losing the specifics of the cost-benefit models for the individual partners. To contribute to the effective design of collaborative business cases, this paper will describe a scalable multi-level quantification approach, while focusing on specific modeling languages for detailed cost modeling for the different partners: equipment modeling, process modeling and network modeling.
Staged venture capital contracting with ratchets and liquidation rights

This paper uses real options analysis to study later round financing in the presence of two standard venture capital contracting provisions: anti-dilution (ratchet) and liquidation preference. We argue that such provisions can preclude financing of a positive NPV venture in the case of a large follow-on financing relative to firm value. Liquidation preference contracting at multiples greater than one is not feasible in the later round if the financing is small relative to firm value. We highlight an interaction effect between the two provisions: increasing the liquidation multiple can help to avoid dilution and the need for the prior venture capitalist to waive ratchet provisions.
Josef Steindl, the Trieste School and the BNL Quarterly Review

The paper provides an introduction to the special issue in honour of Josef Steindl (1912-1993) celebrating the centennial anniversary of his birth. Steindl contributed to the theory of the firm, applying a stochastic methodology to study firms’ growth and their distribution by size; to the analysis of technology and education, stressing among other things the link between technical progress and skilled manpower requirements; to growth and business cycle theory, connecting the basic idea of a tendency to stagnation in a capitalist economy to Keynesian-Kaleckian macroeconomics and to a post-Keynesian theory of income distribution where investments determine profits; to the analysis of personal income distribution through the use of stochastic processes, with a critique of the traditional mainstream interpretation of the so-called Pareto Law. Behind all this, there was a general vision of the economy and society in which history, institutions and social tensions all played a central role. Relying on all this, there was a constant flow of applied analyses, always rich in intuition, aimed at understanding the real world so as to be able to better intervene in it in support of human progress. JEL Codes: B31, O40, E32, O33
Secondary bronchiolitis obliterans organizing pneumonia during treatment of chronic hepatitis C: role of pegylated interferon alfa-2a

The treatment of chronic hepatitis C has frequent side effects such as cytopenias and neuropsychiatric symptoms. However, pulmonary toxicity associated with interferon is rarely described. This paper describes the clinical case of a 67-year-old female patient with chronic hepatitis C who presented an acute onset of dry cough, dyspnoea, and fever 36 weeks after the use of pegylated interferon alfa-2a and ribavirin. The lung biopsy confirmed the diagnosis of a bronchiolitis obliterans organizing pneumonia (BOOP). Corticotherapy was initiated, with clinical and radiological improvement. This paper aims to advise physicians to this occasional, though severe, adverse event related to hepatitis C virus (HCV) treatment.
Algorithmic verification of string manipulating programs

String is among the most fundamental and commonly used data types in virtually all modern programming languages, especially with the rapidly growing popularity of scripting languages (e.g. JavaScript and Python). Programs written in such languages tend to perform heavy string manipulations, which are complex to reason about and could easily lead to programming mistakes. In some cases, such mistakes could have serious consequences, e.g., in the case of client-side web applications, cross-site scripting (XSS) attacks that could lead to a security breach by a malicious user.

The central objective of the proposed project is to develop novel verification algorithms for analysing the correctness (esp. with respect to safety and termination properties) of programs with string variables, and transform them into robust verification tools. To meet this key objective, we will make fundamental breakthroughs on both theoretical and tool implementation challenges. On the theoretical side, we address two important problems: (1) design expressive constraint languages over strings (in combination with other data types like integers) that permit decidability with good complexity, and (2) design generic semi-algorithms for verifying string programs that have strong theoretical performance guarantee. On the implementation side, we will address the challenging problem of designing novel implementation methods that can substantially speed up the basic string analysis procedures in practice. Finally, as a proof of concept, we will apply our technologies to two key application domains: (1) automatic detection of XSS vulnerabilities in web applications, and (2) automatic grading systems for a programming course.

The project will not only make fundamental theoretical contributions — potentially solving long-standing open problems in the area — but also yield powerful methods that can be used in various applications.
SMEs powering a low carbon future

SMEs form the backbone of the economy, however, their potential for energy efficiency and renewable energy use remains untapped. The huge number of SMEs operating across the EU means that a change in their energy behaviour is an essential part of the shift to a low carbon economy. The specific target of SME POWER are non-energy intensive SMEs: a silent majority that does not yet recognise the benefits of committing to this shift.

SME POWER’s overall aim is to ensure that public policy for the low carbon economy is better adapted to the needs of non-energy intensive SMEs, thus enabling them to be a key driver in the low carbon shift at European level.
A driver thanks to improved energy conditions in their buildings and processes. A driver thanks to their role as a multiplier when developing more energy efficient products. A driver thanks to the positive examples set for workers when investing in capacity building measures. These 3 drivers for change are at the core of the SME POWER learning activities.

As European policy makers approach the complex world of support for low carbon SMEs from different angles, interregional cooperation is key to identifying good practices that can be integrated, merged and adapted.
SME POWER’s partnership gathers complementary experiences and builds on a shared vision. Policy support must be designed with a synergic approach, promoting measures that target all the drivers for change.
SME POWER groups 7 policy partners, improving 5 ERDF and 1 national policy instruments and it welcomes 1 Advisory Partner.

Thanks to the design and implementation of an Action Plan for policy improvement, SME POWER achieves reduced emissions and increased use of renewables in non-energy intensive SMEs. SME POWER places itself at the centre of a shift from support to low carbon public sector towards the private sector. If supported by effective policies, as encouraged by SME POWER, SMEs can become a driver to reaching the ambitious EU 2030 energy targets.
Removing barriers to regional rail transport


Facing an increasing intermodal competition and radical social and demographical changes, Regional Rail Transport (RRT) in Central Europe has to be improved. Traditionally RRT has focused on large groups of passengers such as commuters and tourists. With settlement structures and places of employment dispersing and leisure activities diversifying RRT more and more has to adapt its offer to passenger groups that are more difficult to attract and that have so far been neglected.

In this context the project INTER-Regio-Rail is going to show how to successfully adapt RRT to the needs and expectations of their today's and potential passengers. The improved offer will support the balanced development of all participating regions. The project will focus on elderly people, intermodal and interregional travelers and contribute to reduce the barriers for using RRT.
METHOD FOR CONTROLLING OVERLOADS IN ATM COMMUNICATIONS SYSTEMS

Cells are transmitted with possible bit rates and overload information (NÜ(NI/CI)) via an existing virtual connection, using two ATM-communications terminals (KE1/KE2) that are connected to an ATM communications system (ATM-KS). In the event that an overload is identified in the ATM communications system (ATM-KS) for a virtual connection in one direction of transmission (ÜR1), the overload information (NÜ(NISx,CISx)) is inserted into the cell stream (ZS(ÜR2)) flowing in the opposite direction of transmission (ÜR2). The insertion of the overload information (NÜ(NISx,CISx)) can be permanent as well as temporary. The invention hereby provides a significantly more rapid means of controlling overloads in ATM communications systems.
EU´s Readmission Deals Under the Light of Global Compact On Migration

The New York Declaration recalled everyone's right to leave any country, including his own, and to return to his or her country. Declaration also reminds that States must readmit their returning nationals and ensure that they are received without undue delay, following confirmation of their nationalities under national legislation. These and other principles were crystallized in the adoption of two non-binding Compacts, the Global Compact on Refugees (GCR) and the Global Compact for Safe, Orderly, and Regular Migration (GCM). This paper analyzes the links between these relevant non-binding documents and new trends in the European Union readmission policy. The main focus of the analysis is Objective 21 GCM which calls for increased cooperation in readmission matters in full compliance with international human rights obligations. The return and readmission of people who do not have the right to remain in European territory are one of the main objectives of the EU immigration policy. To this end, the EU already has its competence, albeit shared with states, to conclude readmission agreements with third parties that speed up identifying and returning third-country nationals. A quite new trend in EU readmission policy is to conclude practical readmission agreements(better-called arrangements or deals) in an informal form. These informal arrangements fall within the category of soft law and affect legal certainty and other structural principles in the EU legal order. With the example of the renewed arrangement with Afghanistan, the possible compatibility between these practices and the GCM would be examined. A conclusion on the future trends ahead within the proposed New Pact on Migration and Asylum is made to understand if the trend to use informal instruments is expected to continue.
Photodissociation of protonated leucine-enkephalin in the VUV range of 8–40 eV

Until now, photodissociation studies on free complex protonated peptides were limited to the UV wavelength range accessible by intense lasers. We have studied photodissociation of gas-phase protonated leucine-enkephalin cations for vacuum ultraviolet (VUV) photons energies ranging from 8 to 40 eV. We report time-of-flight mass spectra of the photofragments and various photofragment-yields as a function of photon energy. For sub-ionization energies our results are in line with existing studies on UV photodissociation of leucine-enkephalin. For photon energies exceeding 10 eV we could identify a new dissociation scheme in which photoabsorption leads to a fast loss of the tyrosine side chain. This loss process leads to the formation of a residual peptide that is remarkably cold internally.
Temporal and Spatial Distribution of Particulate Carcinogens and Mutagens in Bangkok, Thailand

To investigate the level of genotoxicity over Bangkok atmosphere, PM10 samples were collected at the Klongchan Housing Authority (KHA), Nonsree High School (NHS), Watsing High School (WHS), Electricity Generating Authority of Thailand (EGAT), Chokchai 4 Police Station (CPS), Dindaeng Housing Authority (DHA) and Badindecha High School (BHS). For all monitoring stations, each sample covered a period of 24 hours taken at a normal weekday every month from January-December 2006 forming a database of 84 individual air samples (i.e. 12?7=84). Atmospheric concentrations of low molecular weight PAHs (i.e. phenanthrene, anthracene, pyrene and fluoranthene) were measured in PM10 at seven observatory sites operated by the pollution control department of Thailand (PCD). The mutagenicity of extracts of the samples was compared in Salmonella according to standard Ames test method. The dependence of the effects on sampling time and on sampling location was investigated with the aid of a calculation of mutagenic index (MI). This MI was used to estimate the increase in mutagenicity above background levels (i.e. negative control) at the seven monitoring sites in urban area of Bangkok due to anthropogenic emissions within that area. Applications of the AMES method showed that the average MI of PM10 collected at all sampling sites were 1.37±0.10 (TA98; +S9), 1.24±0.08 (TA98; -S9), 1.45±0.10 (TA100; +S9) and 1.30±0.09 (TA100; -S9) with relatively less variations. Analytical results reconfirm that the particulate PAH concentrations measured at PCD air quality monitoring stations are moderately low in comparison with previous results observed in other countries. In addition, the concept of incremental lifetime particulate matter exposure (ILPE) was employed to investigate the potential risks of exposure to particulate PAHs in Bangkok atmosphere.
Novel avenues of action for a hallmark disordered protein of parkinson's disease

Alpha-synuclein (aSN) is an intrinsically disordered protein (IDP) expressed by neurons, and well-known to aggregate in so-called Lewy bodies (LB) that are a hallmark of Parkinson’s disease (PD) and other LB disorders. Despite extensive research, the mechanisms underlying its toxicity in these disorders still remains to be understood. In this project, I will determine whether aSN can interact with other disordered proteins in a novel, mean-field type interaction, focusing on the disordered loop of the neuronal plasma membrane Ca2+ ATPase (PMCA). I will study this using biophysical techniques, in particular NMR, ITC and SAXS/SANS. This project will improve the understanding of aSN and its interactions and has the potential to pave the way for new discoveries, especially in drug design. I will gain important experience in project design and management, a research network in Europe, and take a significant step towards independence. I will undertake this project at the University of Copenhagen in the research group of Professor Birthe B. Kragelund, an expert in the field of IDP research. The Kragelund group has recently joined the BRAINSTRUC Consortium: a group of researchers working on the structural characterization of neuronal proteins. Thus, they required a postdoctoral researcher with a strong background in neuroscience and structural biology. I was uniquely qualified to take this position as I have been working on neurodegenerative proteins for several years and structurally characterized the IDP associated with Huntington’s disease. Professor Kragelund has experience supervising productive postdoctoral researchers, an extensive European network, and has access to the state-of-the-art facilities necessary to complete this project. I have recently acquired preliminary data to indicate that the two proteins (aSN and PMCA) interact directly. This project has the potential to change how we understand proteins associated with neurodegeneration and their interactions.
Game-Changing ultrasonic technology for energy saving in predictive maintenance

SONOTEC’s innovation project E-SAVING ULTRASONICS will bring a new solution to the market of industrial maintenance by defining a new state-of-the-art in ultrasonic technology featuring new sensors, electronics and cutting-edge application software. The peculiarity of our approach includes the integration of novel algorithms to exploit physical signals and the user-friendly presentation of testing results designed to achieve high customer benefits. The innovative measuring and testing platform will be launched as a modular handheld device - the SONAPHONE 4.0.

SONOTEC plans to renew the preventive maintenance market for CAS by providing highly improved technology and methods for realistic identification, quantification and reporting of leaks to drastically reduce (≥ 42 % saving potential) the alarming waste of approximately 30 % of energy used in CAS.

Ultrasound technology will become one of the most effective early indicators of faults, wear and inefficient use of energy for industrial customers analysing the operation and state of equipment. Our ground-breaking physics-based technology has proven the potential to be a valuable basis for decision-making in every sector of industrial maintenance pertaining machinery operating facilities.SONOTEC’s goal is to exploit its extended technological potential in the field of machinery diagnostics and to increase the proportion of ultrasound technology by means of new methods and measurement techniques.

The objective of E-SAVING ULTRASONICS is to adapt a game-changing technology based on ultrasound that achieves great benefits by saving energy and reducing carbon emissions for users of predictive maintenance solutions.

SONOTEC's strategy is to renew the business area of ‘Preventive Maintenance’ by exploiting its key competences in the fields of ultrasonic sensor technology, measurement devices and modular software to move from an industry expert to an international market leader in this sector within the next years.