SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Digital Destination Evolution System

The project, describing the global and cross-border context of Tourism (global market competition, digitalization of purchases by tourists), aims to foster cooperation between Tourist Destinations (DMO), in order to cope with a structural evolution of the sector and redesign its role in the Tourism market. The proposed actions intend to develop the ability to analyze the habits and behaviors of tourists who visit the Insubric region, through the activation of last-generation tools, able to interact in real time with the guest, proposing targeted and real time services. The project will open new channels and design innovative services.
Boosting innovation in organic fruit production through strong knowledge networks

The EU is the leading region for the production of organic fruits, with a rapidly expanding production and a demand for organic products which grows every year. However, at the same time, the amount and value of organic imports from outside the EU is increasing. For organic fruit farmers in the EU this poses a challenge to succeed in an increasingly competitive market. In addition, organic fruit growing is a very demanding farming activity. This is because, the sector faces specific problems that cannot be solved using conventional approaches based on the use of synthetics substances. As organic fruit growers cannot rely on synthetic inputs, many of them have, on a local level, developed competitive strategies to improve plant health. Moreover, there is considerable research on improving organic fruit growing systems. The problem, however, is that this knowledge is not easily accessible to farmers all over Europe and remains either locally known or only available in the scientific sphere. 

The sector is in need of a network focused on organic fruit production that bridges the gap between science and practice and makes locally found solutions available to other fruit growers in Europe. Therefore, the specific objectives of BioFruitNet are: 1) Collect and synthesize existing knowledge ready for practise, 2) Create a stable European innovation network, 3) Strengthen established networks, 4) Widely distribute solutions, 5) Extend the Organic Farm Knowledge Platform. To achieve these objectives, we will first carry a thorough mapping exercise to find relevant networks at national level in partner countries and beyond (WP1). Then, compile all existing practical and scientific knowledge relevant to organic fruit farmers (WP2) and select the best practices (WP3). We will then focus on adapting and translating all best practices in an easy-to-understand format like practice abstracts (WP4) and disseminate the information through high impact channels (WP5).
Occurrence of bacteria and polymorphonuclear leukocytes in fetal compartments at parturition; relationships with foal and mare health in the peripartum period

This study investigated the relationship of the health of the newborn foal and (1) number of polymorphonuclear leukocytes (PMNLs) in the amniotic fluid, (2) bacteria present in the amniotic fluid and the venous umbilical blood, and (3) bacteria present in the uterus of the newly foaled mare. A further aim was to investigate relationships between the bacteriologic findings in the amniotic fluid, umbilical blood, and uterus postpartum. Samples were taken from 50 Standardbred trotter foaling mares from a well-managed stud in Sweden. Parturition was spontaneous in all cases. Length of pregnancy, parturition and postpartum complications, health status of the foal, the time between foaling and the expulsion of the placenta, and the number of postfoaling mares becoming pregnant after insemination were recorded. Amniotic fluid was collected when the amniotic vesicle was clearly visible; it was analyzed for bacteriology and occurrence of PMNLs. Umbilical blood was analyzed for the presence of bacteria and the concentration of serum amyloid A. The uterus of the mare was swabbed for bacteriology 6 to 17 hours postpartum. A blood sample was taken from the foal before administering plasma. The foals were divided into two groups: group 1 required up to 2 hours to rise after birth (≤2 hours; 31 foals) and group 2 required more than two hours (>2 hours; 19 foals). The length of gestation varied between 332 and 356 days; there was no significant difference in gestation length between the two foal groups. Partus and postpartum complications occurred in a significantly higher proportion of mares giving birth to group 2 foals than group 1 foals (P = 0.02), although uterine culture postpartum and the subsequent pregnancy rate per season were not different between the groups. Compromised health status was significantly higher among foals belonging to group 2 than group 1 (P = 0.001). Most of the amniotic samples contained 5% or less PMNLs. Only three samples contained more than 30% PMNLs; group 2 foals had the highest percentage of PMNLs. Bacterial growth was found in both amniotic fluid (57%) and umbilical blood (35%) in mares irrespective of whether their foals were healthy or compromised. Coagulase-negative staphylococci were the most frequent bacteria. There were no differences in bacterial occurrence in amniotic fluid or in umbilical blood between the two foal groups.
Genetically encoded sensors for imaging neurochemical dynamics in vivo

How specific neurochemicals (neurotransmitters, neuropeptides and hormones) influence our mental states and behaviors remains one of the biggest questions in biology. So far, we largely lack tools to precisely monitor the temporal and spatial profile of neurochemical signaling in behaving animals. The ability to do this is a prerequisite for understanding the critical functions of these molecules in both health and disease. 
OPTONEUROCHEM is a bold and transformative project that will develop a new breed of genetically encoded sensors to enable real-time and highly-specific functional imaging of neurochemicals at unprecedented resolution in awake behaving animals. This project is geared towards creating innovative tools that will transform the current biotechnological landscape. 
I will first engineer novel red-shifted sensors for monoamines and apply them in multiplex and optoacoustic imaging experiments (Objective 1). I will then develop sensors for neuropeptides based on previously unexplored receptor subtypes. These will be validated in increasingly complex biological systems and utilized for monitoring the task-specific dynamics of endogenous neuropeptides in multiple brain regions of awake behaving mice (Objective 2). Finally, I will leverage on novel protein scaffolds to engineer the first ultrasensitive probes for steroid hormones and explore their application to in vivo imaging (Objective 3). This high-risk high-reward project combines state-of-the-art cross-disciplinary techniques, ranging from protein engineering and optogenetics, to animal behavior, and in vivo fluorescence and optoacoustic imaging. Together, the next generation tools I plan to develop will revolutionize our approach to study neurochemical activity in living animals. Ultimately, these tools will advance our understanding of brain function in health and disease.
Microalbuminuria is associated with cardiovascular risk in prediabetes and prehypertension

Abstract Background According to ICMR estimates about 30–40% Indians are prehypertensives and 11% are prediabetics. Majority of these people develop overt hypertension and diabetes over a period of time. A number of studies have shown Microalbuminuria as a sensitive marker for predicting cardiovascular (CV) risk in prediabetics and prehypertensives. Microalbuminuria is now seen as an independent predictor of CV mortality irrespective of its association with other cardiovascular risk factors. Despite the fact that the Framingham study also established in 1984 that proteinuria is an important risk marker of cardiovascular mortality, this was not added to the list of CV risk factors. Objective The objective of this study was to examine the prevalence of Microalbuminuria in prediabetes, prehypertension and coexistent prediabetes and prehypertension and to see its association with ECG and Echocardiographic parameters Indicative of CV risk. Methods In this cross sectional study spot urine micro albumin was estimated in 200 subjects with prehypertension, prediabetes and coexistent prehypertension and prediabetes, who satisfied the inclusion criteria. Albumin creatinine ratio (ACR) was measured by immunoturbidimetry. All the study subjects were evaluated with ECG and Echocardiography for cardiac changes. Statistical analysis was performed using SPSS software trial version-16 to see the association of Microalbuminuria with cardiac changes. Results Microalbuminuria was seen 22.2% of isolated prediabetics, 25% of isolated prehypertensives and 58% of subjects with both prehypertension and prediabetes. Significant associations were seen between Microalbuminuria and cardiac changes in the study population. Conclusions Microalbuminuria was found to be associated with cardiovascular risk in prediabetes and prehypertension.
EVOLUTION OF THE QUASAR LUMINOSITY FUNCTION OVER 3 <z< 5 IN THE COSMOS SURVEY FIELD

We investigate the high-redshift quasar luminosity function (QLF) down to an apparent magnitude of I(AB) = 25 in the Cosmic Evolution Survey (COSMOS). Careful analysis of the extensive COSMOS photometry and imaging data allows us to identify and remove stellar and low-redshift contaminants, enabling a selection that is nearly complete for type-1 quasars at the redshifts of interest. We find 155 likely quasars at z > 3.1, 39 of which have prior spectroscopic confirmation. We present our sample in detail and use these confirmed and likely quasars to compute the rest-frame UV QLF in the redshift bins 3.1 < z < 3.5 and 3.5 < z < 5. The space density of faint quasars decreases by roughly a factor of four from z \sim 3.2 to z \sim 4, with faint-end slopes of {\beta} \sim -1.7 at both redshifts. The decline in space density of faint optical quasars at z > 3 is similar to what has been found for more luminous optical and X-ray quasars. We compare the rest-frame UV luminosity functions found here with the X-ray luminosity function at z > 3, and find that they evolve similarly between z \sim 3.2 and z \sim 4; however, the different normalizations imply that roughly 75% of X-ray bright active galactic nuclei (AGN) at z \sim 3 - 4 are optically obscured. This fraction is higher than found at lower redshift and may imply that the obscured, type-2 fraction continues to increase with redshift at least to z \sim 4. Finally, the implications of the results derived here for the contribution of quasars to cosmic reionization are discussed.
The constitutional rights of children: in re Gault and juvenile justice

When fifteen-year-old Gerald Gault of Globe, Arizona, allegedly made an obscene phone call to a neighbour, he was arrested by the local police, who failed to inform his parents. After a hearing in which the neighbour didn't even testify, Gault was promptly sentenced to six years in a juvenile boot camp--for an offence that would have cost an adult only two months. Even in a nation fed up with juvenile delinquency, that sentence seemed over the top and inspired a spirited defence on Gault's behalf. Led by Norman Dorsen, the ACLU ultimately took Gault's case to the Supreme Court and in 1967 won a landmark decision authored by Justice Abe Fortas. Widely celebrated as the most important children's rights case of the twentieth century, In re Gault affirmed that children have some of the same rights as adults and formally incorporated the Fourteenth Amendment's due process protections into the administration of the nation's juvenile courts. Placing this case within the context of its changing times, David Tanenhaus shows how the ACLU litigated Gault by questioning the Progressive Era assumption that juvenile courts should not follow criminal procedure. He then takes readers to the Supreme Court to fully explore the oral arguments and examine how the Court came to decide Gault , focusing on Justice Fortas's majority opinion, concurring opinions, Justice Potter Stewart's lone dissent, and initial responses to the decision. The book explores the contested legacy of Gault , charting changes and continuity in juvenile justice within the contexts of the ascendancy of conservative constitutionalism and Americans' embrace of mass incarceration as a penal strategy. An epilogue about Redding v. Safford --a 2009 decision involving a thirteen-year-old schoolgirl, also from Arizona, who was forced to undress because she was suspected of hiding drugs in her underwear--reminds us why Gault is of lasting consequence. Gault is a story of revolutionary constitutionalism that also reveals the tenacity of localism in American legal history. Tanenhaus's meticulous explication raises troubling questions about how local communities treat their children as it confirms the importance of the Supreme Court's decisions about the constitutional rights of minors.
Rigorous development of prompting dialogues

Objectives : The aim was to support people with cognitive impairment through speech-based dialogues that guide them through everyday tasks such as activities of daily living. The research objectives were to simplify the design of prompting dialogues, to automate the checking of prompting dialogues for syntactic and semantic errors, and to automate the translation of dialogue designs into a form that allows their ready deployment. Approach : Prompting dialogues are described using cress (Communication Representation Employing Systematic Specification). This is a notation and toolset that allows the flow in a service (such as a dialogue) to be defined in an understandable and graphical way. A dialogue diagram is automatically translated into a formal specification for rigorous verification and validation. Once confidence has been built in the dialogue design, the dialogue diagram is automatically translated into VoiceXML and deployed on a voice platform. Results : All key objectives of the work have been achieved. A variety of significant dialogues have been successfully represented using the cress notation. These dialogues have been automatically analysed through formal verification and validation in order to detect anomalies. Finally, the dialogues have been automatically realised on a VoiceXML platform and have been evaluated with volunteer users.
Artificial intelligence threat reporting and incident response system

Uptake of IoT and AI driven ICT systems in Europe is crucial for our common future, but it is dependent on our strategic ability to protect these systems from cyber threats and attacks on their privacy. IRIS addresses this challenge with a collaborative-first approach centered around CERTs/CSIRTs. From a technological perspective, it deploys (i) autonomous detection of IoT and AI threats, enriched with (ii) privacy-aware intelligence sharing and collaboration, and (iii) advanced data protection and accountability. Crucially, IRIS introduces (iv) the first dedicated online training and cyber exercises to prepare CERTs/CSIRTs to collaboratively protect critical infrastructures and systems against cross-border AI and IoT threats. IRIS will be validated in three pilot demonstrators, focussing in the IoT, AI and cross-border dimensions, across three existing smart city environments (in Helsinki, Tallinn and Barcelona), involving the associated national/governmental CERTs/CSIRTs, cybersecurity authorities and municipalities. The scenarios will contain real-life inspired cyber incidents that will build up into pilots at all levels (from local to national and to cross-border) to showcase the versatility of the IRIS solution. With 19 key partners from around Europe and 5 CERTs/CSIRTs as Associated Partners, IRIS’s solid consortium composition and work plan prioritises the effectiveness needed for quick real-world adoption and impact. Moreover, integration will be carried out on the EU’s existing MeliCERTes platform, with the support of INTRASOFT, while training will build upon THALES’s existing cyber range, and ECSO will ensure the contribution to standards and policymaking. With the formal support of the four H2020 Cybersecurity Competence Network Pilot Projects, IRIS will also actively engage with the full scope of the cybersecurity ecosystem in Europe.
Well-Being, ecology, gender, and community

WEGO (Well-being, Ecology, Gender and cOmmunity) is a trans-national network aims to develop a shared research and training agenda to educate the next generation of interdisciplinary social-environmental scientists on feminist political ecology in Europe. WeGO’s research examines gender relations in community organizing from a feminist-informed political ecology (FPE) framework. From an international and interdisciplinary perspective, WEGO looks at gender and power relations in community responses to the current climate, economic and environmental crises in different socio-ecological contexts. WEGO aims to provide insightful and compelling analysis about the importance of gendered community response to climate, economic and environmental change as well as more detailed knowledge about what changes are required for greater resilience and sustainability. Gender is understood as a critical variable in shaping resource access and control, interacting with class, caste, race, culture, and ethnicity to shape processes of ecological change and the prospects of any community for sustainable development. WEGO research will look at resilience and sustainability by examining the gendered role of women in care work for the community and for the environment. The cases chosen – from in and outside of Europe are sites that can feed into innovative European Policy on sustainable development.
Functions of non-coding rnas in protein synthesis and homeostasis during aging

Because old age is the largest risk factor for many human diseases, it is one of the key challenges of our time to find ways to increase healthy lifespan and reduce the loss of health in later life. Inhibition of protein synthesis is capable of extending the lifespan of a number of organisms and has been shown to ameliorate symptoms in models of several age related diseases. 

Recent studies have shown that non-coding (nc) RNAs frequently interact with translating ribosomes, although little is known about their function there. In previous work, I discovered a ribosome-bound ncRNA to be required for both the inhibition of translation and the increase in lifespan seen in insulin signaling (IIS) mutant worms. However, due to a nematode-specific RNA trans-splicing mechanism, affecting post-transcriptional gene regulation, the relevance of these results to others organisms remains unclear.

Given the crucial role protein synthesis plays in lifespan determination and the unexplored functions of ncRNAs in this process, I propose to systematically investigate the role of ncRNAs in translation and longevity. My goal is to identify ncRNAs that interact with ribosomes that have an effect on proteostasis or post-transcriptional gene regulation and consequently on lifespan extension and understanding their function.
Agent-Based Privacy Aware Feedback System

In the field of information technology, a feedback system is a computer program that receives information from the users and guides the target audiences in order to achieve the desired outcomes. The Feedback systems can be used as a part of an intervention in organizations to increase awareness and improve performance. However, due to many factors such as possibility of losing jobs and facing social problems, people of the organizations are not interested to disclose their identities while providing feedbacks about their organizations. This is the most significant problem of current feedback systems. Therefore, in this paper, we introduce a framework to provide feedbacks without disclosing individuals’ record’s values. In our approach, we introduce an agent-based parallel computation technique that can collect feedbacks from the users in a secure environment. We provide an extensive experimental evaluation to show the effectiveness of our approach.KeywordsFeedback systemsprivacy aware systemsagent-based computation
A Study on Performance of Processes in Migrating Virtual Machines

In a cloud computing environment, virtual machines are migrated with two kind of methods. One is non-live migration, and the other is live migration. In case of non-live migration, a virtual machine stops their processes during migrations. In case of live migration, a virtual machine and its processes keep running during migration, but their performance may severely decrease. In order to obtain better performance, the suitable migration method should be chosen. In this paper, we present performance evaluation of both migration methods, and demonstrate that performance of processes on a migrating virtual machine severely declines. The analysis for this degradation is presented, and it is revealed that a host OS communication and memory writing are important reasons for the decline.
Precise measurements of the thick target neutron yields of the 7Li(p,n) reaction

Abstract Thick target neutron yield of the 7 Li(p,n) 7 Be reaction was measured in the proton energy range from 1.95 to 2.3 MeV by determining induced activity of the 7 Be. A HPGe detector was used to detect the 478 keV gamma-rays emitted through 7 Be decay. A series of irradiations with nominal proton energies of 1.95, 2.0, 2.1, 2.2, and 2.3 MeV were carried out. In an independent experiment, raw neutron spectra were collected by a 3 He ion chamber for the same series of proton energies. From the raw neutron spectra, it was noted, that the effective proton energies were lower than the nominal by 50–58 keV. After corrections for the proton energy offsets were applied, the measured neutron yields matched the analytically calculated yields within 20%. Long term stability of neutron yield was tested at two nominal proton energies, 2.1 and 1.95 MeV over an experimental period of one year. The results show that the yield at 2.1 MeV was stable within rmse variation coefficient of 4.7% and remained consistent even when the lithium target was replaced, whereas at 1.95 MeV, the maximum fluctuations reached a factor of 10.
Towards a unified mechanistic model of oceanic island biogeography

Understanding how ecological and evolutionary processes shape patterns of biodiversity remains a central challenge for ecological and biogeographic theory. Oceanic islands, because of their spatiotemporal properties, provide the most promising arena to address this challenge. UNISLAND will advance general theory by applying novel ecological, evolutionary and genomics approaches to explicitly test mechanistic predictions derived from the recently developed General Dynamic Model (GDM). The GDM, while an island focused model, is of broad ecological relevance, because it encompasses generally held ecological relationships, such as the species area relationship (SAR) and the species abundance distribution (SAD). Two key mechanistic predictions derived from the GDM have so far been untested, and are the focus of UNISLAND. The first is that the older an island is, the more old are the single island endemic species (SIEs) that evolved on that island. The second is that single island endemic species (SIEs) have higher extinction probabilities that other species. UNISLAND is embedded in a multidisciplinary framework involving: comparative phylogenetics; community-level modeling; ‘museum’ genomics; and spatially-explicit coalescent-based analysis. Data generated by UNISLAND will evaluate the range shift and extinction risk (species-level and ecosystem-level), thus addressing international and European-level research priorities. Through the collaborative phase between the ER and OPS, UNISLAND will provide the ER with state of the art skills in historical DNA genomics and ecological modelling that will be transferred to the CSIC during the return phase. The complementary research profiles of the OPS, RPS and ER, their mutual interests in the spatial structuring of biodiversity, and the application of modern fit for purpose methodology, underpin the strength of UNISLAND.