SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Discriminative Power of Arterial Spin Labeling Magnetic Resonance Imaging and <sup>18</sup>F-Fluorodeoxyglucose Positron Emission Tomography Changes for Amyloid-β-Positive Subjects in the Alzheimer's Disease Continuum

Recent studies have demonstrated that arterial spin labeling magnetic resonance imaging (ASL-MRI) and fluorodeoxyglucose positron emission tomography (FDG-PET) identify similar regional abnormalities and have comparable diagnostic accuracy in Alzheimer's disease (AD). The agreement between these modalities in the AD continuum, which is an important concept for early detection and disease monitoring, is yet unclear.We aimed to assess the ability of the cerebral blood flow (CBF) measures from ASL-MRI and cerebral metabolic rate for glucose (CMRgl) measures from FDG-PET to distinguish amyloid-β-positive (Aβ+) subjects in the AD continuum from healthy controls.The study included asymptomatic, cognitively normal (CN) controls and patients with early mild cognitive impairment (MCI), late MCI, and AD, all with significant levels of cortical Aβ based on their florbetapir PET scans to restrict the study to patients truly in the AD continuum. The discrimination power of each modality was based on the whole-brain patterns of CBF and CMRgl changes identified by partial least squares logistic regression, a multivariate analysis technique.While CBF changes in the posterior inferior aspects of the brain and a pattern of CMRgl changes in the superior aspects of the brain including frontal and parietal regions best discriminated the Aβ+ subjects in the early disease stages from the Aβ- CN subjects, there was a greater agreement in the whole-brain patterns of CBF and CMRgl changes that best discriminated the Aβ+ subjects from the Aβ- CN subjects in the later disease stages. Despite the differences in the whole-brain patterns of CBF and CMRgl changes, the discriminative powers of both modalities were similar with statistically nonsignificant performance differences in sensitivity and specificity.The results comparing measurements of CBF to CMRgl add to previous reports that MRI-measured CBF has a similar diagnostic ability to detect AD as has FDG-PET. Our findings that CBF and CMRgl changes occur in different brain regions in Aβ+ subjects across the AD continuum compared with Aβ- CN subjects may be the result of methodological differences. Alternatively, these findings may signal alterations in neurovascular coupling which alter relationships between brain perfusion and glucose metabolism in the AD continuum.
Centre of excellence for cultural and creative innovations in lithuania

The ""innocult"" Teaming Phase 1 project specifically aims to create a Centre of Excellence (CoE) of Creative and Cultural Innovations in Lithuania, 
The new CoE is targeted to perform research and innovation actions in line with the challenges faced in our country and aimed at promoting participatory culture and socio-cultural engagement of diverse societies by supporting cultural and creative processes of integration and disruption. Investigation and measurement of cultural and creative capital value on the basis of developed methodological approach and means will disclose the wide social and economic role the cultural and creative industries play and, therefore, foster networking, entrepreneurship and innovation potential of cultural and creative sector creating conditions for estimating forthcoming model of participatory culture. 

The main goal of the Centre of Excellence is to provoke innovative changes in participatory culture and provide a guidance of smart and sustainable changes for cultural and creative organizations and audiences within creative sector to operate in competitive environment for leading excellence based on investigated and measured cultural and creative processes.

Therefore, the CoE seeks to promote development of CCI institutions, formation of new institutional strategies leading towards inclusive and participatory culture taking into account the importance and shifts of the economical, communicative, technological and social factors, in order for the cultural institutions and network to start functioning as activating centres of social innovations, as hubs for involvement of new audiences (minorities, youth, seniors etc.) increasing competences of culture consumption in respect to the development of CCI.
Outcome Study of Real-time MR-guided Cervical Periradicular Injection Therapy in an Open 1.0 Tesla MRI System

To evaluate the accuracy, safety, and efficacy of cervical nerve root injection therapy using magnetic resonance guidance in an open 1.0 T MRI system.Between September 2009 and April 2012, a total of 21 patients (9 men, 12 women; mean age 47.1 ± 11.1 years) underwent MR-guided cervical periradicular injection for cervical radicular pain in an open 1.0 T system. An interactive proton density-weighted turbo spin echo (PDw TSE) sequence was used for real-time guidance of the MR-compatible 20-gauge injection needle. Clinical outcome was evaluated on a verbal numeric rating scale (VNRS) before injection therapy (baseline) and at 1 week and 1, 3, and 6 months during follow-up.All procedures were technically successful and there were no major complications. The mean preinterventional VNRS score was 7.42 and exhibited a statistically significant decrease (P < 0.001) at all follow-up time points: 3.86 ± 1.53 at 1 week, 3.21 ± 2.19 at 1 month, 2.58 ± 2.54 at 3 months, and 2.76 ± 2.63 at 6 months. At 6 months, 14.3 % of the patients reported complete resolution of radicular pain and 38.1 % each had either significant (4-8 VNRS score points) or mild (1-3 VNRS score points) relief of pain; 9.5 % experienced no pain relief.Magnetic resonance fluoroscopy-guided periradicular cervical spine injection is an accurate, safe, and efficacious treatment option for patients with cervical radicular pain. The technique may be a promising alternative to fluoroscopy- or CT-guided injections of the cervical spine, especially in young patients and in patients requiring repeat injections.
DERECT PRINTING COMPOSITION

A direct printing composition comprising (a) a silicone ink base composition and (b) an adhesion promoter.
Exploring complexity in the archaeological landscapes of monsoon asia using lidar and deep learning

Compelling evidence is now emerging that tropical environments were cradles of innovation and complexity from prehistory to the present. Tropical forests in particular have long been considered marginal and inhospitable, but recent work suggests that several critical milestones were achieved in these landscapes. Vast expanses were terraformed by increasingly complex societies, often in a quest to mitigate the sharp seasonality of the monsoon. Ostensibly wild and pristine rainforests are now characterised as managed 'gardens'. The giant low-density settlement complexes of 'rainforest civilisations' anticipate the sprawling megacities of our contemporary world, and offer a laboratory for understanding the profound challenges that they create.

To date, these emerging perspectives have largely been driven by advances in palaeobotany, archaeogenetics, isotopic analyses, and contemporary rainforest ecology. Remote sensing has so far played only a modest role in this broader agenda, in spite of the unique capability of lidar technology to 'strip away' vegetation and reveal archives of human activity inscribed in the Earth's surface.

This program will tackle the core problems that currently constrain the 'lidar revolution' in archaeology: We will use a new generation of lidar technologies to greatly expand coverage in Southeast Asia, home to many of the most important and understudied rainforest landscapes. We will develop open access frameworks and infrastructures for aggregating, sharing and collaborating on new and existing lidar datasets. We will build on recent advances in artificial intelligence to develop generic models for automation and analysis, in order to move beyond localised, culturally-specific lidar applications. The net result of this work will be to create consistent, comparable datasets of human impacts on the Earth's surface, with a view to understanding trajectories of innovation and complexity in the tropical world from the deep past to the present.
Silk fibroin and polyethylene glycol-based biocompatible tissue adhesives

Tissue sealants have emerged in recent years as strong candidates for hemostasis. A variety of formulations are currently commercially available and though they satisfy many of the markets' needs there are still key aspects of each that need improvement. Here we present a new class of blends, based on silk fibroin and chemically active polyethylene glycols (PEGs) with strong adhesive properties. These materials are cytocompatible, crosslink within seconds via chemical reaction between thiols and maleimides present on the constituent PEGs and have the potential to further stabilize through β-sheet formation by silk. Based on the silk concentration in the final formulation, the adhesive properties of these materials are comparable or better than the current leading PEG-based sealant. In addition, the silk-PEG based materials show decreased swelling and longer degradation times. Such properties would make them suitable for applications for which the current sealants are contraindicated.
Intelligent management of processes, ethics and technology for urban safety

An interconnected city grid of sensors, such as of cameras or environmental sensors, offers a wealth of actionable Big Data. In addition to better managing traffic and public transit, as well as controlling pollution, they can be used for enhanced policing, crowd control, and even public sentiment monitoring. However, such smart systems increase the risk of unethical use of personal data, and increase the attack surface of a city as multiple interconnected IT systems control key infrastructures such as transport, energy, water distribution, etc.
To address the growing security and ethical threats on smart cities, the project will develop an integrated toolkit that covers the complete physical and cybersecurity value chain (detection, simulation & analysis, intervention). 
The project will enhance the resilience of cities in the face of security events in public spaces, by addressing three main aspects of urban security in smart cities: 
•	Technologies:  integrating and developing the tools and processes underlying the capacity of cities to manage both physical security and cyber security, leveraging the power of IoT, Artificial Intelligence and Big Data analysis
•	Ethics: ensuring smart city capabilities are developed for the benefit of society, balancing potentially conflicting needs to collect, transform and share large amounts of data with the protection of data privacy 
•	Processes: delivering a multi-tenant solution fully aligned with the operational needs of multiple city stakeholders (e.g. police, first responders, municipalities) supported by a framework gathering deployment guidelines and best practices
The consortium includes 17 partners from 11 different EU Member States and Associated Countries, including 2 local government authorities (City of Padova and City of Oslo) that will lead the field trial implementations. The project will also be supported by a Community of Safe and Secure Cities (COSSEC) gathering other cities to provide feedback.
Konstruktion einer mobilen und vollvariablen Fallscheiben-Schießanlage für die Ausübung von Wettkämpfen und Trainings der in der Sportordnung vom Bund Deutscher Sportschützen 1975 e.V. unter K5 und L11 definierten Wettkampfdisziplinen

Fallscheiben-Schießanlagen zur Ausübung von Wettkämpfen und Trainings des Fallscheiben Schießens nach den in der Sportordnung des Bund Deutscher Sportschützen 1975 e.V. unter K5 und L11 definierten Regeln dadurch gekennzeichnet, dass die Fallscheiben-Schießanlage über eine Variabilität verfügt, die es ihr ermöglicht sämtliche unter K5 und L11 definierten Disziplinen des Fallscheiben Schießens unter Einhaltung des Regelwerkes zu bedienen.
How do humans recognise kin?

Kinship moderates important social outcomes, such as interpersonal violence and sexual behaviour, but how do you know who your kin are? On the surface, this appears to be a simple question, but the specific cues and cognitive systems that mediate these complex relationships are yet to be understood. This pioneering project will combine biological theories regarding the essential role of kinship in regulating social and sexual behaviour with advanced methods from experimental psychology, genetics, acoustics, computer graphics and experimental economics, to develop and test the first comprehensive model of human kin recognition.

Early research on human kin recognition typically investigated the effect of a single kinship cue on one domain of behaviour and in one relationship type. For example, research on the Westermarck Effect focusses on the effect of co-residence on sexual aversion among siblings. The proposed project will investigate a diverse range of potential kinship cues (e.g., contextual, phenotypic and cognitive), both relevant behavioural domains (i.e., prosocial and sexual), and several relationship types (e.g., primary and secondary; consanguine, affine and adoptive). The resulting model will allow for complex interactions, such as conditional or domain-specific cue use, that are suggested by work on kin recognition in other species. This, in turn, will allow for a greater understanding of the mechanisms underpinning how humans recognise and respond to kin. 

The project will also produce a quantitative model of how family resemblance is expressed in the face, which will be used to develop novel methodologies for assessing family resemblance from face images and experimentally creating realistic and biologically plausible “virtual relatives” using computer graphics.
Large-scale measurement and analysis of one-way delay in hybrid multicast networks

Group communication plays an important role in the distribution of real-time data for IPTV, multimedia conferencing, or online multiplayer games, but IP multicast remains unsupported in today's global Internet. Hybrid solutions that bridge between overlay and underlay multicast are a promising escape from the deployment dilemma of multicast. In this paper, we examine the real-time capabilities of hybrid multicast in a globally distributed environment based on our adaptive architecture H8Mcast within the Planet-Lab testbed. We present a large-scale measurement study and analysis of one-way packet delay distributions in several realistic group scenarios. The unique results in global traces of hybrid multicast data have been achieved by carefully tracking packets and continuously correcting clock offsets. Companion measurements of unicast-based distribution are part of our analysis, as well as the comparative discussion of our results with previous findings from theory and simulation. Our measurements reveal that about 50% of global group members experience a real-time compliant service within the conversational time bounds of 150 ms.
Development of a material with reproducible emission of selected volatile organic compounds – μ-Chamber study

Volatile organic compounds (VOCs) found indoors have the potential to affect human health. Typical sources include building materials, furnishings, cleaning agents, etc. To address this risk, chemical emission testing is used to assess the potential of different materials to pollute indoor air. One objective of the European Joint Research Project "MACPoll" (Metrology for Chemical Pollutants in Air) aims at developing and testing a reference material for the quality control of the emission testing procedure. Furthermore, it would enable comparison of measurement results between test laboratories. The heterogeneity of the majority of materials makes it difficult to find a suitable reference sample. In the present study, styrene, 2-ethyl-1-hexanol, N-methyl-α-pyrrolidone, lindane, n-hexadecane, 1,2-dimethyl- and 1,2-di-n-butyl-phthalate were added to 12 commercially available lacquers (6 alkyd and 6 acrylic polymer based lacquers) serving as carrier substrate. After homogenization, the mixtures were loaded into a Markes Micro-Chamber/Thermal Extractor (μ-CTE™) for curing and investigation of the emission behavior for each compound. For almost all of the investigated chemicals, the preferred glossy acrylic lacquer showed emissions that were reproducible with a variation of less than 20% RSD. Such lacquer systems have therefore been shown to be good candidates for use as reference materials in inter-laboratory studies.
Astrocyte adrenoceptors: light on intracellular signaling

ASTRALIS proposes all-optical strategies to shed light on holes in our understanding of how intracellular signaling complexity, downstream of specific G protein-coupled receptors (GPCRs), is generated in the brain. We focus on the understudied cells of the brain, astrocytes, which are highly interconnected but electrically silent, and signal through GPCRs and second messengers in response to norepinephrine (NE). We use them as models to study whether intracellular signaling in vivo is governed extrinsically, by noradrenergic afferent fibers releasing neuromodulators in defined spatiotemporal patterns –and therefore by receptor-specific activation dynamics– or rather intrinsically, by compartmentalization of cellular components, resulting in spatiotemporally different signaling outputs. During the outgoing phase, I will use advanced optical approaches to: (1) measure the spatiotemporal dimension of NE release in vivo, and (2) characterize the cellular and subcellular heterogeneity of astrocytic signals in response to NE in vitro and their relevance to the circuit, by simultaneously monitoring astrocytic and neuronal activity. During the incoming phase, I will (3) combine knowledge generated within the outgoing phase about in vivo noradrenergic signaling with the optical technologies developed by the host lab, in order to dissect the contribution of receptor dynamics to the spatiotemporally defined signaling of adrenoceptors. Significance: Current strategies to study intracellular signaling downstream of GPCRs widely neglect the spatiotemporal component of the inputs to which receptors are exposed naturally. Clarifying these aspects of receptor function would radically change the way we probe and study these proteins. In addition, elucidating the largely disregarded contribution of astrocytes in noradrenergic signaling at the cellular and network level will help understand the pathophysiology of related disorders and conceive better therapeutic strategies.
Contamination Level Prediction of Insulators Based on the Characteristics of Leakage Current

In order to assess how severe the contamination level of the surface of power line insulators and to prevent unpredictable contamination flashovers, it is important to seek optimal prediction characteristics. That leads to the increase of the warning time and to the improvement of the reliability of the pre-warning system. Nearly 30 insulator strings at five pollution levels were tested in an artificial fog chamber, where their leakage currents were continuously recorded at the same operation conditions. The three characteristics of the leakage current, namely the mean value, maximum value, and the standard deviation of the root-mean-square (RMS) value of the leakage current, have been extracted. They describe jointly the current contamination levels of an insulator surface. In addition, regression equations between the three characteristics and various contamination levels have been established. The same three characteristics have been selected and used as the inputs of a neural network model together with two more parameters, the relative humidity and operating voltage. Also, the influence of each characteristic on the contamination prediction results has been investigated. The model is appropriate to predict the equivalent salt deposit densities (ESDD) with a difference of less than 0.035 mg/cm2 if the training data and the testing data are selected at the security stage. This research results in the optimal prediction input parameters and sufficient pre-warning time before a contamination flashover.
Perception of social discrimination in results of the European social survey

Empirical indices concerning social discrimination were applied repeatedly in the extensive sociological research (within The European Social Survey). They were applied in individual six rounds (in two-year cycles). The aim was to determinate the rate of generally perceived discrimination and to find particular reasons (forms) of discrimination (race, nationality, religion, language, ethnicity, age, gender, sexuality). The aim of the study is to inform technical community on the knowledge in the socioscientific field (perception of social discrimination in Slovakia and in other European countries) and to contribute to the enrichment of information base in the research sphere as well as to bring near sciences of different orientation.
CIPC vapour for efficient sprout control at low application levels

Abstract Isopropyl N-(3-chlorophenyl) carbamate (CIPC) is a growth inhibitor typically applied as a hot fog (spherical particles of about 5 μm diameter) on harvested potatoes to prevent sprouting during prolonged storage. Although particularly efficient in sprout control, deposition of solid CIPC particles on the potatoes increases the residue levels of the chemical on the tubers. The potential of CIPC to be used in the vapour phase for efficient sprout control at significantly lower application rates has been evaluated. First, CIPC vapour release rates from different hydrocolloid formulations were evaluated. From the investigated formulations (agar, gellan gum, κ-carrageenan, alginate), 1% gellan gum set with 0.002 M calcium ions appeared to result in the fastest vapour releasing formulation. At industrially relevant storage conditions (8 °C, 90% relative humidity) CIPC vapour release was significantly reduced. Vapour adsorption by tubers was then investigated and showed maximum of 2.5 mg kg−1 (mass of CIPC per mass of tubers) for washed, non-dormant tubers exposed to solid sources for 28 d. Efficient sprout control was indicated for tubers exposed to vapour sources and CIPC levels of 0.3 mg kg−1. Overall, the work indicates strong potential of CIPC vapour in efficiently preventing sprouting.
Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas

Aquatic ecosystems in areas with intense agricultural activity are subject to pesticide contamination, which may compromise the health of the fish. In order to verify the quality of the water and the possible effects of pesticides on fish, a method that combines different biomarker responses into an index named "integrated biomarker response" (IBR) was applied using the biological alterations in the Neotropical fish Astyanax altiparanae. Fish were maintained in situ at five sites along a stream that runs in an agricultural area and in a stream within a forest fragment, considered a reference site. After seven days of exposure the following alterations were observed in fish confined at experimental sites: increased activity of glutathione-S-transferase (GST) and catalase (CAT) and increase in the content of reduced glutathione (GSH) in liver and gills, reduction of acetylcholinesterase (AChE) activity in the brain and muscle, increase in the occurrence of DNA strand breaks and in the frequency of micronuclei (MN) and nuclear abnormalities (ENA) in erythrocytes. The IBR highlighted three sites as the most affected, as the animals confined at these sites showed greater variations in biological responses. The biomarkers most important for the IBR results were GST, AChE, DNA breaks and ENA.