SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
I have seen that before: pattern completion in the human visual system and its role for memory

The visual system is an anticipatory system. For example, in order to hit a tennis ball during a match, parts of the brain calculate the future trajectory of the tennis ball based on its past travel through the air to enable you to hit the ball. A recent study by Ekman et al. (2017) demonstrated how the visual system anticipates a ball’s trajectory in such a scenario. In their functional magnetic resonance imaging (fMRI) study, they found temporally compressed pattern completion in primary visual cortex for a previously learned rapid stimulus sequence (simulating a moving dot) following the presentation of only the very first stimulus. This visual preplay activity reflects an anticipation of the future trajectory of a moving object based on previous experience, thereby intersecting vision and memory. Interestingly, the mechanism of pattern completion plays a big role in the reinstatement of memory traces in classical memory experiments. Whether the visual preplay effect is similar to the pattern completion in memory reinstatement, and whether the memory replay effect might be guided by visual preplay is currently unknown. 
The proposed project will provide a better understanding of the nature of the visual preplay effect and its relation to memory. It will investigate the neural oscillations induced by the visual preplay effect together with its temporal unfolding, providing insight into information processing and communication between brain areas. It will also examine a possible link between this visual effect and memory by embedding the preplay experiment into a memory paradigm. The combination of magnetoencephalography (MEG) and fMRI methods together with state-of-the-art signal processing and machine learning will enable a comprehensive investigation of this effect at the boundary between vision and memory, thereby advancing our understanding of both the visual and memory system and, in particular, their interplay.
SLACK SMA WIRE IN SMA ACTUATOR ASSEMBLIES

A method of measuring the degree of slack of plural lengths of shape memory alloy wire where at least one of which is held slack, the method comprising: heating the lengths of shape memory alloy wire to cause contraction of the lengths of shape memory alloy wire; measuring an electrical characteristic of the lengths of shape memory alloy wire during said contraction of the lengths of shape memory alloy wire; and deriving a measure of the degree of slack of the lengths of shape memory alloy wire from the measured electrical characteristic.
Galileo advanced features for maritime domain: breakthrough applications for safety and security

Galileo-based solutions for a better surveilled, safer and more secure sea
Maritime transportation is a backbone of the worldwide economic growth, representing 80% of the worldwide merchant traffic, and a major domain of human and nature activity.

The improvement of maritime safety and security has always been a major concern for the global community, and, in the last decades, the protection of environment and the resilience to climate change effects have also appeared in the overall scope.
Considering the size of the maritime domain and the potentially large distances to coasts, the GNSS is a core technology of maritime systems. Getting the best possible information from on-board GNSS receivers and more generally GNSS applications (including Search-and-Rescue payloads and short-messaging capabilities of GNSS satellites) is then beneficial to the maritime community for a minimum additional investment.
Galileo system is bringing new assets and functionalities, in particular compared to other GNSS constellations, which appears to be particularly relevant for the maritime community.

The objective of the GAMBAS project is to highlight how Galileo specific features can benefit to maritime domain, to propose implementations and to support demonstrations and disseminations of associated services, for the benefit of maritime domain in terms of security, safety, protection of environment and resilience to major catastrophic events.

The project will in particular address the modernization of SSAS Cospas-Sarsat anti-piracy beacon, with unique Galileo return-link features, and the development of solutions for rescue operators and for the vessels to use Galileo robustness to jamming and spoofing (including authentication) and the expected future Emergency Warning Service. The solution will be supported by demonstration at sea, in Europe (Greece and Spain) and outside Europe.
Microbial networks for pac cycling in polluted soils

Polycyclic Aromatic Hydrocarbons (PAHs) are major soil pollutants causing special concern due to their high recalcitrance and (geno)toxicity. Despite the extensive knowledge gathered on microbial PAH degradation, current biorestoration technologies are still not sufficiently effective to decontaminate contaminated soils. One of the main characteristics that constrain PAH biodegradability in the environment is their low bioavailability for natural microbial communities, and the concomitant limited degradation rates. In addition, at PAH-polluted sites, other toxicologically relevant polycyclic aromatic compounds (PAC), such as oxygenated PAHs (oxy-PAHs) and nitrogen heterocyclic PAHs (N-PAHs), are generally present, their fate and, in the case of oxy-PAHs, formation being normally neglected. As a result, the success of bioremediation and its ecotoxicological assessment are often limited. NETPAC aims to identify the microbial communities and functions relevant for PAC biodegradation, and their adaptations to low bioavailability conditions, to further exploit them in novel and more sustainable approaches for biologically mediated restoration of PAH-impacted soils. Molecular microbial ecology and analytical chemistry methods in combination with stable isotope tracers will allow a systems biology insight into the complex microbial metabolic networks dealing with PAH-biodegradation and bioavailability in situ, by integrating genomics, transcriptomics and metabolomics data. Diagnostic tools will be developed and applied to monitor a lab-scale Green remediation approach based on enhanced natural attenuation, and to identify the natural microbial adaptations to promote the degradation of the expected low bioavailability residue. Understanding these processes will provide us with tools to assess biodegradation occurrence and, as a final outcome, predict the success of bioremediation thus reducing its uncertainties, one of the main drawbacks of this technology.
Microfluidic-Assisted fabrication of artifical microniches for bone marrow stem cells

There is a growing interest in adult stem cells, especially from bone marrow, for regenerative medicine. Hematopoietic stem cells, a type of bone marrow stem cells, alone cannot be expanded in vitro; in vivo, they reside in a microenvironment known as a niche that maintains them in a quiescent state until prompted to differentiate. The stem cell niche provides structural and trophic support and the appropriate homeostasis to regulate stem cell function. Additionally to regulatory factors in these stem cell niches, a number of environmental and mechanical signals arising from the extracellular matrix are crucial regulators of stem cell fate. In order to expedite for basic studies of bone marrow stem cells, and further translational implementation, any realistic approach to the native stem cell niche requires: to engineer a biomimetic 3D-microenvironment, and then to develop artificial microniches with the key functional features reconstructed. High-throughput microfluidic technology offers high promise, however, adaptation to accommodate adult stem cells in artificially fabricated niches remains still a challenge. Microfluidic-assisted culture systems should not only allow maintaining cell homeostasis through biochemical and mechanical stimulation, but also modulating adult stem cell renewal and differentiation through microscale patterning of cells and extracellular materials in biomimetic microniches. This project aims at the microfluidic reconstruction of an artificial stem cell niches. In this proof-of-concept, a bone marrow stem cell microniche with tunable size, material and topography will be developed by integrating novel fabrication microfluidics  with material engineering.
DISK BRAKE AND BRAKE LINING

The invention relates to a disk brake of a motor vehicle, in particular a floating-caliper disk brake of a utility vehicle, has a brake caliper (4) that reaches over a brake disk in the manner of a frame, a brake carrier that is fixed on the vehicle side, at least one brake lining (5), which is provided with a lining carrier plate (51) and a friction lining fastened to the lining carrier plate and which is guided in a lining channel formed by the brake carrier or the brake caliper (4), wherein a first limiting element is provided on the brake carrier, by means of which first limiting element an approach of the lining carrier plate (51) of the brake lining (5) toward the brake disk is limited to a predefined amount, wherein areas (54) are provided on the lining carrier plate (51) of the brake lining (5) above and below the friction lining fastened to the lining carrier plate (51) as observed radially to the axis of rotation of the brake disk, which areas hit both the first limiting element on the brake carrier (3) and at least one second limiting element (62) provided on brake caliper (4) when the lining carrier plate (51) of the brake lining (5) approaches the brake disk (2) by the predefined amount.
Assessment of quality of prescription by dental students

The main objective of this study was to evaluate changes in prescribing pattern of Dentistry students throughout academic course.A case of non-complicated dental extraction was presented to all students that had completed their pharmacology coursework (from 4th semester to the last semester). The students were grouped according to year of study and were asked to prescribe paracetamol for pain control. A maximal score of 5 points was calculated from three subscores for identification of professional and patient (1.0 point), drug concentration, dosage, and quantity (1.5 points); and drug information, instructions, and warnings (2.5 points). The data were expressed as medians [95% confidence intervals (CIs)] and were compared using the Kruskal-Wallis test followed by Dunn's post hoc test. A p<0.05 value was considered statistically significant. A total of 92 students participated the study (2nd year, N=12; 3rd year, N=32; 4th year, N=28; 5th year, N=20).The quality of prescription showed improvement between 2nd-year students [2.0 (1.5-2.5)] and 4th-year students [3.2 (2.9-3.5), p<0.05]; 4th- and 5th-year students [3.6 (3.5-3.8)] performed similarly. Lack of information about pharmacological treatment, side effects, and administration route were the major deficiencies observed.Although Dentistry students present a general improvement in their prescribing performance, deficiencies remain even in advanced students. The data suggest that the teaching of good prescription practices should extend throughout the later phases of preprofessional dental education.
Deep learning uav networks for autonomous forest firefighting

Thousands of hectares of forest lands are lost to wildfires every year. Utilization of Unmanned Aerial Vehicles (UAVs) is an efficient tool for fighting fires, however the state-of-the-art techniques lack in ability to predict fire spread direction and coordinate multiple UAVs to suppress the fire under limited communication. DUF project aims to apply powerful tools from artificial intelligence domain to UAV firefighting problem, creating an innovative solution for autonomous firefighting, which will reduce the amount of lands lost to fires. DUF will use the deep learning techniques for estimating the fire spread direction from infrared camera streams obtained from UAVs. Deep learning is a mature technology for classical image recognition, but the use of deep learning to learn predictive models for fire spread is a novel approach. After the model is learned, a decentralized approximate dynamic planning algorithm will be utilized to coordinate UAV actions for suppressing the fire. The algorithm development, simulations and first phase of the flight experiments will be conducted at Istanbul Technical University (ITU) Aerospace Research Center (ARC). The project will conclude with flight tests conducted on natural forest fires, with operational support from Forest of Ministry of Turkey. Prof. Ure earned his Ph.D. degree from Massachusetts Institute of Technology, working on advanced UAV projects and collaborating with leading researchers in the world. He has extensive experience on autonomous systems and published more than 30 critically acclaimed journal and conference papers in this subject. Prof. Ure is currently working as assistant professor in ITU and through this innovative multidisciplinary research and with the help of experimental infrastructure provided by the ITU, Prof. Ure is expected to gain maturity in managing research projects and advance his career toward being an esteemed professor in the field of aeronautics and artificial intelligence in Europe.
DNA-ZYME BASED METHODS & COMPOSITIONS FOR TREATING HUNTINGTON'S DISEASE

Provided herein are methods and compositions for treating Huntington's disease. For example, provided are compositions that include DNA oligonucleotides that have targeting specificity for RNA encoding mutant huntingtin protein. When introduced into a cell, the DNA oligonucleotides reduce expression of the mutant huntingtin protein in a cell. For example, the DNA oligonucleotide, functioning as an enzymatic DNA molecule (or DNAzyme), cleaves the RNA encoding the mutant mRNA protein, thereby rendering the mRNA incapable of expression. That is, the cleavage event renders the RNA non¬ functional and reduces or abrogates protein expression from that RNA. Hence, synthesis of the mutant huntingtin protein is selectively reduced or inhibited, in accordance with the methods and compositions described herein. By silencing or reducing the expression of the mutant huntingtin protein, the methods and compositions describe herein can be used to treat Huntington's disease, including adult and juvenile onset Huntington's disease.
Light driven hybrid nanocrystal tmdc capacitors

Sunlight is an intermittent energy source coupled to the availability of the sun. Light-DYNAMO aims for an innovative solution to directly store the solar energy. The challenge is to implement solution-processable light-driven nanocrystal capacitors (NCCs), such as doped metal oxides. They show high charge-storage capacity accumulating multiple delocalized electrons after light absorption. This was to date shown in solution only with the additional drawback of reducing the hole with a sacrificial hole scavenger. The innovative aspect of Light-DYNAMO is to use 2D transition metal dichalcogenides (2D TMDCs), such as MoS2 or WS2, as efficient hole acceptors in a solid state structure. The sensitivity of the TMDCs’ spatial electronic landscape to the local environment (i.e. strain, defects or doping) serves as driving force for energetically driven hole relocation within the TMDC. The electrons instead remain in the NCCs. This results in long-lasting and efficient charge separation and opens novel design principles. In optimized device structures, such stored carriers are extracted. The working principle of the suggested NC/TMDC hybrid device is based on several challenges: first, the absorption and charge storage capacity of the NCCs will be enhanced by exploring novel materials. Second, the TMDC’s sensitivity to the surrounding will be extracted to a high level of control over the 2D energy level distribution. Third, the intentional design of the energy landscape (e.g. through strain manipulation) in the optimized hybrid geometry will be introduced to control carrier redistribution after charge transfer within the TMDC. Finally, appropriate devices for carrier extraction will be structured. The proposal embarks on a pioneering study by the PI on optical control over carrier density in NCC/TMDC hybrids, advancing such novel systems to a level in which the incoming sunlight is harnessed, converted, stored as charges and released on demand to power an electric circuit.
The recurrent campylobacteriosis epidemic over Christmas and New Year in European countries, 2006–2014

Campylobacteriosis is the most frequently reported foodborne disease in Europe with a notification rate of 71 per 100,000 population in the European Union in 2014. Surveillance data show a clear seasonality whereby case numbers peak during summer months in entire Europe and at the turn of the year, especially in Germany and Switzerland. A detailed description of European surveillance data by country at the turn of the year was missing so far. The objectives of the presented work were to describe national surveillance data of The European Surveillance System for 14 countries during winter times and to generate hypotheses for the observed seasonality of campylobacteriosis cases.The analysis included 317,986 cases notified between calendar weeks 45 and 8 of winter seasons 2006/2007-2013/2014. Winter peaks in weekly case notifications and notification rates were observed for Austria, Belgium, Finland, Germany, Luxembourg, The Netherlands, Switzerland and Sweden while for Denmark, France, Ireland, Italy, Norway and the United Kingdom no unusual increase was observed. Generally, weekly notification rates peaked in calendar week 1 or 2 after a strong decline in the last week of December and reached values of a multiple of the observed notification rates in the weeks before or after the peak e.g. up to 6.5 notifications per 100,000 population per week in Luxembourg. Disease onset of cases notified during winter peaks occurred predominantly in calendar weeks 52 and 1 and point towards risk exposures around Christmas and New Year. The consumption of meat fondue or table top grilling poses such a risk and is popular in many countries with an observed winter peak. Additionally, increased travel activities over the festive season could foster campylobacteriosis transmission. Surveillance artefacts (e.g. reporting delays due to public holidays) should be excluded as causes for country-specific winter peaks before investigating risk exposures.
The world’s “first and cleverest space-based uld-tracker” for airports and airfreights in eu and worldwide.

Main Task is the development and commercialization of STAP ULD-Watcher, a RFID and satellite-based chip to enable worldwirde and real-time localization of ULDs where no additional infrastzructure is needed.
The core of STAP is a technology which is in line with IATA air cargo regulations. The value chain includes various groups: airports (implementation partners), airfreight companies (short term customers), transport organizations (customers), forwarding companies (potential supporter of the technology), ground service companies at airports (crucial partners for installation, service and proof of concept), manufacturer of ULD transport vehicles and ULD lifters (potential strategic partners) and second source service provider which are working with tracking data (potential strategic partners). 
The main customer benefits and USPs of STAP-Watcher are the user friendliness (unique and simple plug-in-and-play system working both indoor and outdoor), highly accurate monitoring as well as the unmatched price (30% cheaper than any closest competitor product in market), which offers a unique return on investment time of 1.2 -2 years, depending on the size and special needs of a specific airport. Further advantages over state-of-the-art systems include small system size, equipped additional sensors, fully automatic documentation (designed for very small to extremely large airport & cargos), no need of addition infrastructure and smart control through actual AT-patented technology. A global PCT is filed in September-2019 to cover whole EU and some core countries worldwide. The airlines and cargo forwarder including ground handlers save upto 16% time and labour costs using STAP watcher compared to currently used state-of-the-art technologies. Furthermore, our open protocol interface is compatible to any Airport and logistics management and automatic decision management system worldwide.
A METHOD AND APPARATUS FOR CHARACTERISATION OF CONSTITUENTS IN A PHYSICAL SAMPLE FROM ELECTROMAGNETIC SPECTRAL INFORMATION

The present invention is enclosed in the area of machine learning, in particular machine learning for the analysis of High or Super-resolution spectroscopic data, which typically comprises analysis of highly complex samples / mixtures of substances and/or data with low resolution, for instance Laser-Induced Breakdown Spectroscopy (LIBS). It is an object of the present invention a method of computational self-learning for characterization of one or more constituents in a sample, from electromagnetic spectral information of such sample, which changes the paradigm associated with prior art methods, by using only sub-optical spectral information, i.e., obtaining the resolution of the spectral information and thereby be able to extract spectral lines - thus determining a spectral line position - from such spectral information, hence avoiding all the uncertainty associated with pixel based methods. It is also an object of the present invention a computational apparatus configured to implement such method.
A mechanistic cortical microcircuit of attention for amplification, normalization and suppression

• A novel attention model based on a simple cortical microcircuit is proposed. • In contrast to previous models, a two layer structure is used to spatially pool responses. • The model explains a very large dataset of single-cell recordings. • All the data is explained by a few mechanisms in the circuit. Computational models of visual attention have replicated a large number of data from visual attention experiments. However, typically each computational model has been shown to account for only a few data sets. We developed a novel model of attention, particularly focused on explaining single cell recordings in multiple brain areas, to better understand the underlying computational circuits of attention involved in spatial- and feature-based biased competition, modulation of the contrast response function, modulation of the neuronal tuning curve, and modulation of surround suppression. In contrast to previous models, we use a two layer structure inspired by the layered cortical architecture which implements amplification, divisive normalization and suppression as well as spatial pooling.
AUTOMATIC NON-LINEAR EDITING STYLE TRANSFER

The present disclosure provides systems, methods, and computer program products for performing automated non-linear editing style transfer. A computer-implemented method may include determining one or more shot boundaries in a video, analyzing identified content in each of one or more shots in the video based on performing object detection, determining an editing style for each of the one or more shots in the video based at least in part on measuring motion across frames within the respective shots, determining a content segment to adjust from a set of target content based on analyzing the set of target content in view of the identified content and the determined editing style of a shot from the video, and automatically adjusting the content segment from the set of target content based at least in part on modifying the content segment with the determined editing style of the shot from the video.