SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
The informal nocturnal city (inf_night): towards a new generation of research and policy agenda about urban informality and nightlife in the 21st century south europe

Urban poor and marginalised communities have suffered the impact of austerity policies, structural re-adjustment and increased precariousness since the 2008 financial crash; a problematic situation aggravated by the COVID-19 pandemic (ILO, 2020). Irregular, low-income employment have become daily survival strategies for many ordinary people. In this sense, transnational un-regulated migrants, and more generally racialised bodies, are the most vulnerable actors suffering in Southern European cities from informality and the application of national migration laws, surveillance and securitisation measures and local policies based on 'zero tolerance' models. Interestingly, the night has become to many of them a space-time to escape or transgress surveillance: taking advantage of under-regulated local spaces, many (racialised) precarious actors - such as street informal vendors, sex workers and petty dealers -  spend their nights avoiding police patrols in order to work, play, move or rest. However, the demonisation of this (Informal) Nocturnal City through moral panics reproduced in media and public discourse is used to justify spatial displacement of undesirable (precarious) actors from central areas in post-industrial Southern European cities and their exclusion from policy-making. 

The proposed training programme will enhance debates in both the academic and urban policy and planning literatures concerning the informal night, through a transnational, policy-oriented study undertaken in Lisbon, Madrid and Rome. Through a novel combination of conceptual frameworks based on three fundamental pillars (informality, nocturnal life and urban security), and articulating these three with debates on urban governance, I aim to address the ways in which informal practices conducted during night are imagined, negotiated and (re)produced and how these fundamentally affect urban change in post-industrial Southern European cities.
construção compreendendo um elemento estrutural e um cabo, elemento de tensão e método para reduzir as vibrações induzidas por chuva e vento em um cabo

resumo patente de invenção: "construção e um elemento de tensão que compreende um cabo e uma ou mais cintas" a presente invenção refere-se a uma construção que compreende um elemento estrutural e pelo menos um cabo (100) disposto de modo tensionado para sustentar pelo menos uma parte do peso do elemento estrutural. o cabo define uma superfície externa (102) em que pelo menos uma cinta (104) forma uma protrusão para reduzir as vibrações induzidas por chuva e vento. a cinta tem uma altura que é uma distância entre uma parte de raiz da cinta conectada à superfície externa do cabo e uma parte de extremidade da cinta que finaliza uma cinta, para fora na direção oposta ao cabo, e a cinta tem uma largura que é transversal à altura, em que a largura diminui na direção a partir da parte de raiz da cinta até a parte de extremidade da cinta. a altura é menor do que 5 por cento do diâmetro do cabo. além disso, a cinta compreende uma primeira porção de superfície de cinta voltada para a direção contrária ao cabo, sendo que tal primeira porção de superfície de cinta é côncava ou reta.
The Genome and Metabolome Collide

In the past 5 years, genome-wide association studies (GWASs) have linked thousands of genotypes to hundreds of common conditions and traits and uncovered pharmacogenetic predictors of drug response and toxicity. However, the molecular mechanisms behind most DNA variants’ physiological effects remain elusive. As a first step toward mechanistic enlightenment, Suhre et al. dissect the relation between a boatload of genetic variants and individual human metabolomes—the complete collection of small-molecule metabolites in a biological sample.

The authors reported results from a GWAS of 2820 individuals that assessed 600,000 single-nucleotide polymorphisms (SNPs) for correlations to the plasma concentrations of more than 250 metabolites in 60 well-characterized, disease-relevant metabolic pathways. Thirty-seven of the 600,000 tested SNPs reached genome-wide significance ( P < 1.0 × 10–6) in two separate patient cohorts and were found to impact the blood levels of the metabolites by as much as 60%. Notably, 15 of these 37 SNPs reside in genes previously tied to disorders such as gout, cancer, Crohn’s, and coronary artery disease, to name a few. Some of the metabolite, disease, and gene correlations of greatest statistical and clinical relevance included N-acetylornithine ( P = 5.4 × 10–252) with kidney disease and NAT8 ( N-acetyltransferase 8 ); mannose/glucose ratios ( P = 5.5 × 10–53) with diabetes and GCKR ( glucokinase regulator ); and bradykinin ( P = 6.6 × 10–18) with hypertension and KLKB1 ( kallikrein B, plasma 1 ). Further, SNPs in SLCO1B1 ( solute carrier organic anion transporter B1 ) that were previously tied to hepatic transport of statins and statin-related muscle inflammation were found to impact blood concentrations of the fatty acids tetradecanedioate and hexadecanedioate. Such critical metabolomic data can now be used in the research and development of novel statins with reduced muscle toxicity. 

Although disease causation could not be confirmed by the current findings, this study underscores how the coupling of intermediate phenotypes with GWASs can illuminate disease-related biological pathways, validate previous genotype-phenotype correlations, and identify novel targets for therapeutic manipulation. Going forward, we can expect more investigations of the interplay between genome and metabolome. 

K. Suhre et al ., Human metabolic individuality in biomedical and pharmaceutical research. Nature 477 , 54–60 (2011). [[Abstract]][1]

 [1]: http://www.nature.com/nature/journal/v477/n7362/full/nature10354.html
Internacionalização da CONNECT Sp. z o.o. para introduzir seus próprios produtos em novos mercados estrangeiros

O projeto diz respeito a atividades integradas de preparação para a implementação do Modelo de Negócios, relacionadas com a internacionalização da Connect Sp. z o.o., que foi desenvolvida em agosto de 2019 por consultores de uma empresa de consultoria externa, participando de entrevistas diárias, diretas, entrevistas e consultas com funcionários e gestão da empresa por um período de 1 semana. O escopo das ações tomadas é crucial para a implementação do novo modelo, ganza na expansão do produto sob a forma de fitas de polipropileno com cantos e fivelas. O novo modelo de negócio, criado em resultado do trabalho realizado e previsto para ser implementado em resultado da implementação deste projeto, responde às necessidades identificadas dos clientes e permite ao requerente construir uma vantagem competitiva no mercado dos fabricantes de fitas de embalagem. A intensificação do processo de internacionalização pode permitir aceitar amplamente os pressupostos do novo modelo de negócio, com base, nomeadamente: — estabelecer relações comerciais duradouras e esforçar-se por executar contratos a longo prazo para o fornecimento de produtos, — desenvolvimento e promoção de novos valores-chave de produtos do ponto de vista de um determinado mercado, — intensificação das atividades de comercialização e de promoção das atividades de promoção da exportação. Os mercados-alvo de exportação são a Alemanha e a Áustria. A análise de potenciais mercados-alvo estrangeiros levou em consideração fatores culturais, econômicos, geográficos e legais, bem como uma avaliação da experiência passada da Companhia. Tarefas previstas no projeto: 1. Desenvolvido por MBI, 2. Serviços de consultoria relacionados com a preparação para a implementação do MBI, 3. Serviços complementares de apoio à promoção de produtos no estrangeiro, 4. Participação na feira como expositor e missão econômica.
Unraveling the combinatorial logic of amygdala neuromodulation in decision-making and learning.

Proper neuronal circuit function depends fundamentally on the balance of neuromodulators, a set of neurotransmitters released widely throughout the brain. Almost every mental disorder, including anxiety and depression, that affect one out of four Europeans, are associated with a neuromodulatory imbalance in specific sub-circuits. Elucidating the role of different neuromodulatory inputs to specific brain regions holds the keys to understanding and treating mood disorders.

The amygdala plays an essential role in the processing of emotional stimuli and salience, ranging from reward to threat and synaptic alterations in this region are critical for learning and emotional processing. Amygdala is innervated by every major neuromodulator, yet surprisingly little is known about the activity of these inputs under physiological conditions and how neuromodulation regulates amygdala circuit activity during different behavioral states and learning.

Here, I propose to study the functional role of neuromodulatory inputs to the amygdala circuitry during learning and decision-making. Towards this goal, I will combine my experience in large-scale electrophysiology with the expertise of the host laboratory in modern genetic tools and neurotechnologies to simultaneously record and manipulate the activity of dopamine, serotonin, norepinephrine and acetylcholine inputs to the amygdala during context-guided decision-making in behaving mice. Using this approach, I aim to characterize the logic of interactions between neuromodulators and its implementation at the level of defined circuits and cell types in the amygdala and to demonstrate the role of this coordination in defining network activity, behavioral state and learning.

The fellowship will contribute to our basic understanding of the interplay between two core brain systems, while it will provide me with a unique opportunity to expand my expertise and establish the foundations of my future career as an independent group leader.
MULTILAYER BARRIER CONTAINER WALL

A multilayer article of manufacture including a barrier layer and an oxygen scavenging layer is shown and described .
Influence of soy protein isolate on the thermal stability of poly(vinyl chloride) in the presence or absence of calcium and zinc stearates

Abstract The influence of soy protein isolate (SPI) and its mixture with calcium stearate (CaSt 2 ), and zinc stearate (ZnSt 2 ) with various ratios on the processing thermal stability of poly (vinyl chloride) (PVC) was investigated by measuring dehydrochlorination rate of PVC (DHC), visual color comparison, and thermogravimetric analysis (TGA). The results suggested that SPI acted as a long-term thermal stabilizer like CaSt 2 to absorb HCl released from PVC, which is due to the primary amine (-NH 2 ) and polyols containing hydroxyl groups in SPI. Moreover, SPI improved the stabilization effect of the traditional CaSt 2 /ZnSt 2 stabilizer, and the combination of SPI and CaSt 2 /ZnSt 2 at certain ratios exhibited desirable stabilization efficiency in prolonging the discoloration time.
Cognitive interventions for older adults: Does approach matter?

A group training format was compared to one-to-one training in a cognitive intervention, Reasoning Exercises in Assisted Living (REAL), designed for elderly Assisted Living residents. Change scores on problem solving and functional outcomes were compared between participants in each group. In participants trained individually (n = 29), scores increased post-intervention on the Every Day Problems Test for Cognitively Challenged Elders (EPCCE; d = 3.10, p < 0.01) and the Direct Assessment of Functional Status (DAFS; d = 3.52, p < 0.001), at a cost of $132 per person. Participants (N = 4) in the group format REAL had mean score increases of 2.75 points on the EPCCE and 3.5 on the DAFS, at a cost of $25.60 per person. Additional testing is warranted to verify the group effects due to the limited size of the sample. Relative costs and effects of various training formats are important to consider when developing, testing, and disseminating interventions targeting older adults.
Insect social parasites: behavioural genomics models for understanding the basis of phenotypic evolution

Understanding how diversity of life arises at the level of the genes is one of the biggest challenges in modern biology. Genomic methodologies now allow us to dissect the molecular basis of this phenotypic diversity and plasticity. However, we lack an integrated study of key phenotypic traits and their dynamic changes in an ecologically relevant setting, with the associated dynamic nature of the underpinning genes. I propose to use an inter-disciplinary approach, by uniting classical ethology with new molecular tools of genomics, to understand how genes give rise to phenotypic traits and their dynamic plasticity using an insect social parasite system as model. Insect social parasites show striking phenotypic diversity compared to their hosts and have been identified as unique models for understanding the molecular basis of phenotypic diversity and plasticity. Yet, they have remained largely unexploited so far, due to the difficulty of conducting genomic studies on non-model organisms. This project will combine for the first time the transcriptomic (i.e. multiple species comparisons of brain genome-wide RNA-seq analyses followed by candidate gene approach RT-PCR) and behavioural phenotyping in order to reveal the molecular basis of phenotypic diversity in a Polistes paper wasp social parasite system, which comprises the social parasite, the host and a related non host species. This will be a landmark project in the exploding field of Behavioural Genomics as it will ensure high replication in an ecologically relevant setting in wild populations and it will exploit a deep ethological knowledge of the model system to ensure precise integration of behaviour with new methods for dissecting molecular processes. This project offers a unique opportunity to capitalize on molecular and behavioural expertise of the Supervisor and ER, generating the most comprehensive empirical and theoretical body of work to date, thus placing the ER as a leader in this new and exciting field.
Leveraging the scalability of mobile devices to improve the outcome of all critically ill patients: a multi-faceted health platform to enable the continuum of care from icu to home.

Intensive Care Units (ICUs), where critically ill patients are cared for by specialized care providers, paradoxically represent
a life-threatening environment for 100% of patients: while ICU stay usually lasts <1 week, 90% of ICU survivors show
catastrophic, long-term consequences. This happens because dangerous complications are often addressed too late,
leading to increased mortality risk. In addition, noise and light levels in Intensive Care Units are too high and induce sleep
deprivation: a condition that often leads to delirium. Clinical evidence shows that ICU-acquired co-morbidities should be prevented and addressed by a multi-disciplinary team made of clinicians, families, nurses, therapists. The goal is to deliver seamless patient of care from the first hour in the ICU, up to the discharge in the ward and then at home. Current clinical practice, though, is not able, alone, to deliver an effective and scalable continuum of care.
   Thanks to years of research and clinical trials, Cognuse developed an IT platform capable of disrupting the patients’ care
with comprehensive interfaces for everyone in the care loop. By providing each ICU bed with one tablet, patients, clinicians
and families are empowered. The detection of complications is made quick and effective; an automatized system allows to
monitor and reduce environmental stressors; families are involved in the care loop and informed; patients themselves are
supported and challenged in exercising to recover better. After testing their solution in USA, the Estonian Company Cognuse
aims at disrupting now the critical care in Europe.
   During Phase 1 project the Company will assess software expansion and scale-up plan, will conduct clinical trials for
validation and software certification and will establish a sound go-to- market strategy to ensure a swift market uptake of the
proposed solution.
The role of non-growing season processes in the methane and nitrous oxide budgets in pristine northern ecosystems

The response of the terrestrial biosphere to climate change is still largely unknown and represents a key uncertainty in climate change predictions. High latitude regions, including Arctic and boreal ecosystems, constitute a key component of the earth system due to significant soil carbon stocks. High latitude regions are net sources of greenhouse gases, such as methane (CH4) and nitrous oxide (N2O), but there is significant disagreement among flux estimates with further uncertainty due to a rapidly changing environment. Climate change effects are particularly strong during the non-growing season, altering the timing of spring snowmelt, fall freeze-up, and increasing winter temperatures. The changes have significant implications for biogeochemical cycles and ecosystem function across high latitude regions.

Despite growing evidence of the importance of non-growing season greenhouse gas emissions, few measurements have been made in pristine Arctic and boreal ecosystems. Non-growing season CH4 emissions can account for 10-100% of annual CH4 flux, while next to nothing is known about emissions of N2O during this period. Process-based models miss non-growing season emissions of CH4, underestimating them by 67% and annual emissions by 25%. I will use complementary observations (WP1), modelling (WP2), and experiments (WP3) to quantify the annual magnitude of CH4 and N2O flux, identify controls on non-growing season flux, and assess why existing models of CH4 flux fail outside of the growing season. Are environmental conditions so different that existing model parameters fail, or is non-growing season biogeochemistry fundamentally different? The overall impact is to shift the paradigm from “nothing happens outside of the growing season” to “capturing non-growing season processes is key to understanding ecosystem dynamics.” Ultimately, results will provide novel insights into greenhouse gas budgets and transform our understanding of fundamental earth system dynamics.
Enhance aircraft performance and optimisation through utilisation of artificial intelligence

PERF-AI will apply Machine Learning techniques on flight data (parametric & non-parametric approaches) to accurately measure actual aircraft performance throughout its lifecycle.

Within current airline operations, both at flight preparation (on-ground) & at flight management (in-air) levels, the trajectory is first planned, then managed by the Flight Management System (FMS) using a single manufacturer’s performance model that is the same for every aircraft of the same type, & also on weather forecast that is computed long before the flight. It induces a lack of accuracy during the planning phase with a flight route pre-established at specific altitudes & speeds to optimize fuel burn, from take-off to landing using aircraft performances that are not those of the real aircraft. Also, the actual flight will usually shift from the original plan because of Air Traffic Control (ATC) constraints, adverse weather, wind changes & tactical re-routing, without possibility for the flight crew, either using the FMS or through connected services to tactically recompute the trajectory in order to continuously optimize the flight path. This is in particular due to the limitations of the performance databases that the current systems are using.

Hence, PERF-AI is focusing on identifying adequate machine learning algorithms, testing their accuracy & capability to perform flight data statistical analysis & developing mathematical models to optimize real flight trajectories with respect to the actual aircraft performance, thus, minimizing fuel consumption throughout the flight.

The consortium consists of Safety-Line (FR) & INRIA (FR), having full expertise at Aircraft Performance & Data Science, hence, able to fully propose, test & validate different statistical models that will allow to accurately solve some optimization challenges & implement them in an operational environment.

PERF-AI total grant request to the CSJU is 568 550€ with total project duration of 24 months.
Cap flashing device

A cap flashing device for overlapping and joining two upper-end pieces of valley flashing within two valleys on a main roof is provided. An adjoining roof forms the two valleys where it meets the main roof. The device comprises a sheet of material having top and bottom surfaces and a raised triangular portion in the material and extending above the material. The triangular portion has a pair of sides in an angled relation to the remaining portion of the material with the remaining portion remaining substantially planar. Upon positioning the material upon the roof, the triangular portion is positioned over the adjoining roof and the remaining portion of the material overlapping and joining the upper end pieces of the flashing thereby inhibiting leakage in either of the valleys with the entire material in complete direct contact with the main roof with the sides being free from any folds or tucks.
IMPLEMENTING MODI

IMMODI is a capitalisation of results project bringing together 12 partners coming from eight (8) different Countries, addressing a regional policy issue of shared relevance to the partnership as it is the access and development of e-government and e-health services in mountainous and rural regions and territories of the EU. The overall project objective will be to reduce the cultural and human gap characterizing the less accessible areas, helping to reduce the isolation of mountain/rural areas through the use of innovative technological tools and spreading the use of ICTs and innovative contents through the implementation of new public services and opportunities.The project will provide the appropriate institutional and political framework for demonstrating, discussing and agreeing ways of new services' implementation. It will support European policy developments related to e-government and e-health services in mountainous regions and, finally, it will help regional
and local policies in the development of new services by defining concrete Action Plans for the implementation of the designated new services. Efforts will be concentrated on transferring new and sustainable services in the fields of e-government and e-health to mainstream OPs in the framework of these implementation instruments. 9 Action Plans (one for each of the participating regions) will be approved and commonly developed, sharing the same structure, but tailored by each of the regions according to their specific needs. Because of the specific focus in transferring practices into mainstream programmes, only MA or partners that could guarantee the involvement of the relevant bodies responsible for monitoring their OP were accepted to join the partnership. 10 good practices and services on e-government and 3 on e-health will be transferred in the framework of the project and constitute the good practices that will be taken as the project starting point.
Some good practices come from the actual exportability of the findings and good practices that were produced by the MO.DI (Digital Mountains) Project and of the partners' stock of experiences fitting the regional OPs. The activities of IMMODI are mainly structured around three components: Component 1 Management and Coordination; Component 2 Communication and Dissemination; Component 3 Exchange of experience dedicated to the transfer of good practices into the Structural Funds mainstream OPs. A number of interregional events, technical workshops and political meetings with 'deep delegations', as well as the preparation of a cutting-edge guide on good practices and services of e-government and e-health are foreseen. The implementation will follow a 24 months multi-stage schedule and evaluation cycle with deliverables every 6 months.