SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Indian Ocean maritime security: energy, environmental and climate challenges

For a comprehensive and meaningful understanding, the maritime-related security challenges facing the Indian Ocean littoral states need to be looked at broadly. Non-traditional security issues – from energy security and climate security to transnational terrorism and environmental degradation – are as important as traditional maritime security issues such as freedom of navigation, security of sea-lanes, maritime boundary and domain security, proliferation of weapons of mass destruction and challenges to law and order (including piracy and sea robbery, criminal activities like drug, people and arms smuggling, illicit, unreported and unregulated fishing, illegal immigration, and maritime terrorism). The non-traditional issues extend to the maritime aspects of economic security, food security, environmental security and human security.
Seasonal effects in land use regression models for nitrogen dioxide, coarse particulate matter, and gaseous ammonia in Cleveland, Ohio

Abstract Passive ambient air sampling for nitrogen dioxide (NO 2 ), coarse particulate matter (PMc), and gaseous ammonia (NH 3 ) was conducted at 22 monitoring sites, a compliance site, and a background site in the Cleveland, Ohio, USA area during summer 2009 and winter 2010. This air monitoring network was established to assess intra–urban gradients of air pollutants and evaluate the impact of traffic and urban emissions on air quality. Method evaluations of passive monitors, which were weeklong in duration for NO 2 and PMc and two–weeklong for NH 3 , demonstrated the ability of the NO 2 and NH 3 monitors to adequately measure air pollution concentrations, while the precision of the PMc sampler showed the need for improvement. Seasonal differences were obvious from visual inspection for NO 2 (higher in winter) and NH 3 (higher in summer) but were less apparent for PMc levels. Land use regression models (LURs) revealed spatial gradients for NO 2 and PMc from traffic and industrial sources. A strong summer/winter seasonal influence was detected in the LURs, with season being the only significant predictor of NH 3 . Explicit use of summer and winter seasons in the LURs revealed both a seasonal effect, per se , and also seasonal interaction with other predictor variables.
Moving a novel gene therapy paradigm to treat  blindness to the market

At present therapies for inherited dominant disorders are not available, thus representing an urgent unmet medical and social need. The ERC Grant ALLELECHOKER enabled the PI to discover three modes to generate transcriptional repression by transcription factors (TFs) based on Zinc-finger scaffold: i- synthetic transcription factor (TF; Mussolino et al., EMBO Mol. Med. 2011 Mar;3(3):118-28; Botta S. et al. Elife. 2016 Mar 14;5), ii- synthetic DNA-binding protein (Botta S. et al. Elife. 2016 Mar 14;5) and iii- the ectopic expression of an endogenous TF (Botta S, et al. JCI Insight. 2017 Dec 21;2(24). Thus, the PI demonstrated that transcriptional repression by TFs embodies a novel therapeutically effective mode to treat the toxic effects of gain-of-function mutations causing incurable inherited dominant disorders. In particular, mutations in the RHODOPSIN gene can cause the blindness disorder autosomal dominant retinitis pigmentosa (adRP). The PI demonstrated safety and efficiency of RHODOPSIN gene transcriptional silencing in pre-clinical animal models by a specific synthetic transcriptional repressor (ZF6-DB) delivered to the retina by an adeno-associated virus (AAV) vector (AAV-ZF6-DB). Furthermore, within the ERC Grant ALLELECHOKER the PI showed that a single AAV vector containing two independent expression cassettes (AAV-ZF6-DB-hRHO), enables balanced silencing of RHODOPSIN by ZF6-DB and its simultaneous replacement with a human wild-type copy of the RHODOPSIN gene. The primary objective of the inSight ERC-PoC grant is to support AAV-ZF6-DB-hRHO clinical translation, with the final goal of bringing this therapeutic to patients suffering adRP through market authorization and commercialization.
A novel double wheel rake machine to provide high quality fodder and high operational speed

Clean forage is recognized as an essential requirement to grow healthy animals which can produce milk, cheese or meat efficiently. In the last years, this importance has been increased by the farmers' demand of only high quality forage free of dust and stones and which can ensure maximizing diary production. There are two main factors that contribute to affect the final quality of animal feed; i) neat raking which is affected by the percentage of dust and soils contaminating the silage that causes problems of fermentation and bacteria development in forage, and ii) the speed at which crops are harvested contributing to optimize productivity and reduce the raking period that also affect the quality of forage. The existing solutions in the market cannot ensure both clean forage and high working performance at an affordable price with low operational costs.

Repossi is an Italian company with more than 100 years' experience manufacturing haymaking machines who presents RA-RAKE. RA-RAKE is an innovative technology based on a new double wheel rake which includes a double rotating unit that thorughan innovative design, allows not to collect stones nor dust during the raking process.

This novel technology allows farmers to collect hay free from stones and dust (+50% less) preventing contamination and turf damage, provide top-quality fodder for optimal milk and meat production. Furthermore, RA-RAKE represents an efficient and cost effective innovation (67% cheaper than other machines) that will offer a solution that reduces fermentation problems, and allowing very fast performance in the field (> 25km/h) which increases farmers'productivity (40%-time savings), and reduce the cost associated to energy consumption (-20%) and maintenance.
Reconstructing habitat type and mobility patterns of rangifer tarandus during the late pleistocene in southwestern france: an ecomorphological study.

An animal´s habitat and mobility patterns hypothetically affect bone density and limb bone morphometry. The goals of this project are two: 1) test this ecomorphological hypothesis for a given taxon (Rangifer tarandus), and; 2) establish a reference sample for this taxon that will enable a reconstruction of its habitat type and degree of mobility using bone samples recovered from archaeological sites. This project quantifies the link   between habitat type and mobility and bone density and morphology using X-rays and Computer Tomography (CT) and geometric morphometry (GMM). The study will focus on reindeer because it is a key prey species in many prehistoric contexts in both Europe and North America. Modern reference samples will be collected in North America, where Rangifer tarandus (caribou, aka reindeer) herds still exist in woodland (non-migratory) and tundra (migratory) habitats, making the creation of a referential framework possible. 

Once the relationship between habitat, mobility and bone structure has been quantified, the information collected will be applied to faunal assemblages from Upper Palaeolithic archaeological sites in Southwestern France and used to reconstruct prey mobility. Prey mobility is thought to influence the seasonal mobility of human predators and their hunting strategies. There is also a long-standing debate as to the migratory behaviour of reindeer in Western Europe during the Late Pleistocene and its influence on human systems. This project will develop an effective methodology to apply to archaeological faunas that will enable us to test whether human beings were hunting animals which migrated long or short distances, which will allow us to gain a better knowledge of their hunting strategies, the mobility of human systems and potentially their technological choices.
Desarrollo de productos de confitería con chocolate oscuro y la implemantación de vegetales

Ecuador is a country that has wealth in its lands, has a wide variety of organic products and is an exporter of fine cocoa aroma, despite this, the consumption of dark chocolate is very low being the substitute chocolates the most consumed by the population. The aim of this study is to create a line of confectionery products with dark chocolate and vegetables, which are: beetroot, white carrot and sweet potato, for which in the first chapter I will talk about the necessary research of raw materials, being chocolate as the main and vegetables as secondary, to learn more about the origin of these products and continue with the necessary processes. We continue the analysis of the environment in which we will further review the chemical properties of chocolate and vegetables, production costs and the most suitable suppliers for the creation of the final products, in addition to the necessary experimentation for the creation of the product line with their respective focus group and expert validation. Today, small entrepreneurs are entering the world of chocolate and have chosen to use our cocoa as their main raw material. In the third chapter the experimentation was carried out and the necessary results were obtained for the changes that must be made for a good product, the objective in this chapter is the creation of a manual in which to explain everything necessary for its creation, from the necessary rules that govern the law, such as making the packaging and how to take out the necessary certificate by the ARCSA, in addition to the step by step to recreate the products with their respective advice. To result in a confectionery product with great taste, texture and nutritional value.
Nonproteinuric Diabetic Nephropathy

Diabetic nephropathy (DN) refers to the structural and functional changes in the kidneys of patients with diabetes mellitus (type 1 or 2). A subset of patients with presumed DN may not have overt proteinuria as a prerequisite to renal failure, contrary to the classical paradigm. No animal model fully recapitulates the human subset. All studies on this subject are observational and most lack biopsy data. Many mechanisms have been postulated, including use of renin-angiotensin system agents, recurrent bouts of acute kidney injury, genetic predisposition, and renal lesions other than DN. A well-designed biopsy study and a series of intervention trials are needed to fully understand this entity.
A Study of Semantic Query Expansion Based on Domain Ontology and Local Co-Occurrence Probability Model

Keyword-based online book retrieval can not fully understand the user's query intent. Query expansion is a typical solution, but the rate of recall and precision is still very low in existing methods. In response to these problems, this paper presents a semantic query expansion method based on domain ontology and local co-occurrence probability model. First, ontology reasoning and concepts related calculation are used to obtain the initial expansion terms. Furthermore, the local co-occurrence probability model is used to filter the candidate expansion terms and the filtering function is used for secondary selection. Experiment results show that this method can effectively improve retrieval efficiency.
Intrinsic and extrinsic determinants of neuronal identity

Neuronal diversity determines the variety of circuits that can be formed and thus sets the framework for an animal’s behavioural repertoire. During development, distinct neuronal types emerge from interactions between cell-intrinsic processes and cell-extrinsic processes. In the brain, untangling how intrinsic and extrinsic processes contribute to neuronal identity has been difficult, as neurons are highly interconnected and heterogeneous cells with distinct and dynamic sensitivities to environmental signals. In such conditions, high temporal single-cell resolution approaches are required to parse out the drivers of cell-type differentiation.
The mouse neocortex is an ideal model to tease out drivers of differentiation: radially, cell-intrinsic genetic mechanisms drive the generation of successive neuron types across cortical layers; tangentially, cell-extrinsic processes are critical to drive differentiation via synaptic input across cortical areas. Here, using the developing neocortex as a model system, I propose to identify how cell-intrinsic and -extrinsic processes interact to define distinct neuron identities by characterizing:
1. emergence of area-specific neuronal and progenitor identities using FlashTag fate mapping and single-cell RNA sequencing (Work Package (WP) 1)
2. plasticity of area-specific neuronal states in response to genetic manipulation, transplantation or input/activity manipulation (WP2)
3. spatial context-independent components of neuron identity, by uncovering core molecular and circuit states in vitro (WP3)
4. postnatal experience-dependent controls over neuronal identity, using the precocial rodent Acomys as a new model to study the role of early brain-world interactions (WP4).
Together, these experiments aim to identify the molecular determinants of progenitor and neuron types by distinguishing intrinsic and extrinsic drivers of cell identity, with the long-term aim of reverse-engineering tailored neuronal cell-types for circuit repair.
Phase transitions in random constraint satisfaction problems

The systematic investigation of random discrete structures and processes was initiated by Erdős and Rényi in a seminal paper about random graphs in 1960. Since then the study of such objects has become an important topic that has remarkable applications not only in combinatorics, but also in computer science and statistical physics.

Random discrete objects have two striking characteristics. First, they often exhibit phase transitions, meaning that only small changes in some typically local control parameter result in dramatic changes of the global structure. Second, several statistics of the models concentrate, that is, although the support of the underlying distribution is large, the random variables usually take values in a small set only. A central topic is the investigation of the fine behaviour, namely the determination of the limiting distribution.

Although the current knowledge about random discrete structures is broad, there are many fundamental and long-standing questions with respect to the two key characteristics. In particular, up to a small number of notable exceptions, several well-studied models undoubtedly exhibit phase transitions, but we are not able to understand them from a mathematical viewpoint nor to investigate their fine properties. The goal of the proposed project is to study some prominent open problems whose solution will improve significantly our general understanding of phase transitions and of the fine behaviour in random discrete structures. The objectives include the establishment of phase transitions in random constraint satisfaction problems and the analysis of the limiting distribution of central parameters, like the chromatic number in dense random graphs. All these problems are known to be difficult and fundamental, and the results of this project will open up new avenues for the study of random discrete objects, both sparse and dense.
The court of elizabeth i – a european drama

The enduring fascination in anglophone research with the political culture of Elizabethan England has often served to occlude the fact that responses to the Tudor monarch were formulated across renaissance Europe. A pan-European range of dramatic texts bears witness to the anxiety and consuming interest which surrounded Elizabeth I. Such texts have often been neglected or referenced briefly as points of illustration. Moreover, these texts (where afforded any consideration) have most commonly been seen in terms of national traditions of literary production, rather than integrated into a Europe-wide vision of cultural debate and exchange. None of these texts has been considered in recent centuries for their theatrical potential or placed in close conversation with Elizabethan (or post-Elizabethan) literary production. 

This ambitious comparative project for the early modern period will be achieved through: close & comparative reading of primary texts; evaluative analysis of existing scholarship; consultation of host’s (Institute for Research on the Renaissance, the Neo-classical Age and the Enlightenment - Montpellier 3) and European archives; consultations with supervisor and advisory colleagues across Europe; engagement in performance-related events; e-networking with academic and non-academic audiences. In the course of this European project, Hiscock will: engage in a wholly transformative training in performance-based research and e-dissemination; produce cutting-edge research which embeds multilingual studies at the heart of early modern studies; disseminate research findings to a host of academic and non-academic audiences. 

This project engages tightly with the Marie Skłodowska-Curie Programme by: providing professional training in key skills for the applicant, thus enabling him to access significant career progression; investing in wholly innovative interdisciplinary research; enabling international and inter-sector mobility for the applicant.
‘Key account management’ for the sme instrument beneficiaries and ‘enhancing sme innovation management capacity’ as new proinnovative services for smes in the regions of southern poland

The general objective of the project is to contribute to smart growth of Southern regions of Poland by increasing the efficiency and effectiveness of investments in innovation and by contributing to more efficient connection of links along the innovation chain and by this – to contribute to the smart EU growth. The specific objectives of the project are: efficient management of the relation between SME (beneficiary of the SME Instrument) and the coach in purpose to increase the number of projects financed within Horizon 2020 programme completed with a successful commercialization and development of regional SME innovation management capacity: by carrying out innovation management gap analysis, development of the tailored action plan for increasing the effectiveness and efficiency of their innovation management system and implementation of the targeted actions to address bottlenecks and weak points between the innovation capabilities and innovation goals. The objectives will be achieved by performing two kinds of 7-days service packs: Key Account Manager and Enhancing SME innovation management capacity, based on the common for the whole Enterprise Europe Network standard, compliant with European Innovation Management standards - CEN/TS 16555:1(2013). The project is relevant to the Work Programme in Horizon 2020 and helps to overcome lack of capacity in innovation management, recognised as an important barrier in creating economic impact on innovation activities in SMEs. The project is addressed to the specific challenge and scope of the topic, as set out in the Work Programme and offers mentoring and coaching services to beneficiaries who need this help. The project will make SMEs high quality innovation support services available where these are absent or unaffordable on local markets. The project aims at support projects with an European dimension that lead to radical changes in how business (product, processes, services, marketing etc.) is done.
Novel dual purpose antimicrobials and co-formulates to regenerate currently redundant antimicrobials

The increased prevalence of antimicrobial resistant bacteria is the most significant challenge facing the human-health today in both developed and developing worlds. It's estimated that by the year 2050 antimicrobial resistant bacterial infections will be responsible for more deaths each year than cancer. The identification of novel antimicrobials is therefore a major priority. The proposers are currently investigating Supramolecular Self-associating Amphiphiles (SSAs) as a novel class of antimicrobial and co-formulate which have the potential to achieve these global objectives (Patent Application No. PCT/EP2018/069568). Within the scope of this proposal we wish to investigate the interaction of one such candidate SSA with a number of model membrane to elucidate the interaction mechanism providing invaluable information as to their mode of action to help optimise future synthetic design.
Electron beam irradiated osteoinductive bone implant

A method of making an electron beam irradiated osteoinductive implant is provided. The method comprises exposing an osteoinductive implant containing demineralized bone matrix (DBM) fibers to electron beam radiation at a dose of from about 10 kilograys to 100 kilograys for a period of time. The electron beam irradiation reduces microorganisms in the osteoinductive implant, and the electron beam irradiated osteoinductive implant retains osteoinductive properties. Methods of implantation and an irradiated osteoinductive implant are also disclosed.
Monte-Carlo determination of causation in turbulence

Simulations have driven many recent scientific advances. In the case of the physics of fluid turbulence, they have involved some of the most expensive computations at any time, but faster computers now permit meaningful simulations to run in minutes in a modest machine. This proposal centres on exploring the role of simulations in this limit of ‘zero’ computing cost, and on the analysis of the resulting data. What ‘free’ simulations allow is ‘Monte-Carlo’ research, in which ideas are ‘randomly’ tested and only evaluated afterwards, in the hope that some of them be fruitful. Their main advantage is to alleviate ‘paradigm lock’, in which radically new ideas are unlikely to get tested and knowledge gets stuck in a local optimum.  But ensembles of cheap simulations also provide causal information about what the effect of a particular ‘random’ initial condition is. The main result in turbulence is expected to be the identification of novel flow structures, with definitions grounded in the underlying physics. Up to now, structures have mostly been described in terms of properties assumed to be important (e.g. intensity), with their effect on the flow being tested a-posteriori, but Monte-Carlo search allows us to reverse the process, identifying structures from their effects. In particular, we will search for flow configurations that are ‘causally most sensitive’ to perturbations, in the sense that the perturbations are most effective when applied to them. Both the probing perturbations and the receptive flow states constitute ‘causes’. The implied definition of causality only applies over times of the order of a turnover, and is connected with control: changing the cause modifies the effect, with obvious applications. The flows examined will mainly be wall-bounded ones, including effects such as rotation and rheology, but we will also examine the general inverse energy and momentum cascades towards larger scales. Some preliminary experiments are described.
Range domain auto-regression method on generalized multivariate time-varying series analysis

The future introduction of new satellite constellations such as the European satellite navigation system Galileo, modernized Global Positioning System (GPS) or Compass developed by China will imply great improvements in the number as well as the quality of available measurements which provide chance to support better performance. Due to the navigation resources are kind of time-varying series and the ranging function is generalized multivariate, pseudorange accuracy features must be researched to support future interoperability. This paper proposed a range domain auto-regression method on generalized multivariate time-varying series analysis named GmTv-AR, which can be used to determine and analyze positioning function variables in multi-constellation interoperation. The GmTv-AR model not only can represent and retain individual constellation characteristic but also take advantage of the satellites redundancy.