SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Cerebellar distributed plasticity towards active sensing and motor control

The ability to perceive and understand the state of the surrounding environment and the own state is critical for next generation robotic systems. To that aim, the human brain is still far beyond current artificial systems performance due to its capability of processing huge amounts of heterogeneous sensorial data. Interestingly, the cerebellum has been shown to play a crucial role in the generation of dexterous movements as evidenced from cerebellar ataxic patients. Behavioural studies suggest that the cerebellum actively improves sensorial discrimination and proprioception thanks to the prediction of the sensorial consequences of actions. In the last decade, several forms of long-term synaptic plasticity have been observed within the cerebellum, suggesting that distributed plasticity could support the predictive action. However the way in which those mechanisms cooperate in order to improve the function of the whole cerebellar network is not completely understood. In this project, the candidate will develop a novel theory of sensorial information representation and processing based on the cerebellar architecture. The proposed model will make use of long-term synaptic plasticity mechanisms distributed along connections existing in the cerebellar input layer (granular layer) to iteratively create sparse representations of the information, allowing fast and effective learning in successive layers. The predictions extracted from this model will be useful to design new experimental protocols to unveil the cerebellar role in acting and sensing.
By providing multiple relevant contributions across the spectrum of the H2020 objectives in terms of its potential to advance robotic manufacturing, brain processing understanding, and novel computing paradigms, this project will enable the candidate to enhance his position at the forefront of advances in this field.
BODY WEIGHT AS A DETERMINANT OF CLINICAL EVOLUTION IN HAMSTERS (Mesocricetus auratus) INFECTED WITH Leishmania (Viannia) panamensis

SUMMARY The clinical outcome of infection with Leishmania species of the subgenus Viannia in hamster model (Mesocricetus auratus) has shown to be different depending on experimental protocol. Body weight has been a relevant determinant of the clinical outcome of the infection in hamsters with visceral leishmaniasis but its importance as a clinical parameter in hamsters with cutaneous leishmaniasis is not known. In this study, the clinical evolution of infection with L. (V) panamensis was evaluated in juvenile and adult male hamsters during 11 weeks by comparing clinical parameters such as attitude, temperature, respiratory rate, appearance of the stool, and body weight between infected and non-infected groups. Results showed that body weight decreased in adult hamsters after infection by L. (V) panamensis; this observation supports the use of body weight as an additional parameter to define the management or treatment of cutaneous leishmaniasis in infected adult hamsters used as an animal experimental model for leishmaniasis.
Development of simple to use point of care tests for zoonotic pathogens and their validation for use in clinical research setting

Our major goal is development of simple to use point of care tests for zoonotic pathogens and viral hemorrhagic fevers (VHF), and their validation for use in clinical research setting. 
Zoonosis is any process whereby an infectious disease is transmitted between different species of animals. The term zoonosis is here used specifically to refer to diseases that originate in other species of animal, but that get transmitted to humans. Zoonoses in which humans are infected may originate in either domestic animals or wildlife, such as insects, mammals, reptiles, bats, or birds. 
This application contains a draft business plan with feasibility study that verifies the technical and economic viability of the new diagnostics in the proposed clinical validation.
In phase 1 a comprehensive business plan will be produced aiming in phase 2 to develop a comprehensive rapid response diagnostic system for zoonotic pathogens and hemorrhagic fever viruses, with implications for surveillance of all emerging pathogens. Furthermore, in phase 2 the developed tests will be evaluated by end users of the tests – by several research and clinical diagnostic laboratories.
Solving coverage problem in wireless camera-based sensor networks by using a distributed evolutionary algorithm

Wireless camera-based sensor networks have developed as a main group of distributed intelligent systems. These systems involve huge number of low-power camera nodes to display an environment such as museums, military regions, airports, traffic control etc. One of the more important problems in smart networks is camera coverage control. It is necessary to allow automatic tracking of targets and monitoring the environment without human intervention, allowing these systems to scale. Since this problem is NP-hard, even for static targets, so Meta heuristic method such as genetic algorithm, Particle swarm optimization have been proposed to achieve near-optimal solution, which are with high time complexity. To overcome problem the distributed particle swarm optimization is examined in this paper. Simulation results show that the distributed particle swarm optimization results near-optimal solution faster.
Enabling carbon accounting of trees on farms for agroforestry-based climate action

Agriculture is a major driver of deforestation and greenhouse gas (GHG) emissions. Meeting the increasing demand for land and agricultural products, without compromising the Sustainable Development Goals (SDGs) agenda, will require a sustainable transformation of agricultural systems. Among the solutions, agroforestry systems which integrate trees, crops and livestock on farms, without requiring additional agricultural land, provide adaptation and mitigation to climate change and improve livelihoods. Despite its benefits, agroforestry is often not accounted for in measurement, reporting and verification (MRV) systems, which are a requirement for fulfilling countries’ climate goals under the Paris Agreement. If agroforestry is not included, incentives for leveraging on-farm trees for addressing climate change will be limited. Three scientific and technical gaps prevent the access of agroforestry to climate-finance: 1) Lack of accessible approaches for the representation of agroforestry in MRV systems; 2) Shortfall of data and tailored methods for carbon accounting in agroforestry systems; 3) Institutional barriers that withhold agroforestry from access to MRV and climate finance. The aim of this project is to develop and field-test robust, cost-effective approaches to account for carbon in agroforestry systems and enable innovative environments for climate finance. Three working packages (WP) will contribute to fill the existing gaps: WP1) Accessible detection, classification and representation of agroforestry systems; WP2) Development of methods for rapid, non-destructive quantification of carbon in agroforestry; WP3) Enablement of novel environments for agroforestry-based climate finance. The project outcomes will provide not only accessible tools and robust methods to facilitate carbon accounting in agroforestry, but also a link to climate finance. This combination will generate a multidisciplinary approach to catalyze agroforestry-based climate action.
FOOD MIXER WITH IMPELLER WITH REVERSIBLE ROTATION

A food mixer which includes a container having an impeller adapted to be driven by drive means adjacent the lower surface of the container and which impeller is adapted both to cooperate with various mixing devices and to rotate in either the clockwise or anti-clockwise direction.
CONTROL SYSTEM AND METHOD FOR MANAGING SEWING MACHINES

An electronic unit (3) of a control system (1) for managing sewing machines (2) is placed operatively in contact with a sewing machine (2). The electronic unit (3) comprises a detection module (5) configured to detect vibration data related to the vibrations induced by the sewing machine (2). The vibration data detected are associated with a univocal identification code (X1, X2, X3,...), which univocally identifies the electronic unit (3) and the sewing machine (2). A vibration curve (C) is generated which comprises the vibration data detected by the detection module (5) as a function of the time (t). The operating module (8) is configured to identify in the vibration curve (C) an elementary curve (E) characteristic of the sewing machine (2), which is saved in a storage module (9). The operating module (8) is configured to compare the vibration curve (C) with a characteristic elementary curve (E) saved in the storage module (9).
Homotopy theory of spaces of homomorphisms

In this project we propose to study homotopy theoretic properties of spaces of commuting elements in compact Lie groups. These spaces play an essential role in mathematical physics and geometry, but only in the last decade a systematic study by homotopy theoretic methods has been initiated. Important open questions in the field concern the homology as well as the (stable) homotopy type. In the first part of the project, we attempt to prove a conjectural stable splitting theorem, which would establish an intriguing relationship between spaces of commuting elements and commuting varieties in Lie algebras, an object of classical interest in algebraic geometry. In the second part, we propose to investigate the phenomenon of homology stability for spaces of commuting elements in the unitary and orthogonal groups. Building on recent work of the experienced researcher, an approach to calculate the stable homology is presented. This is expected to uncover a wealth of previously unknown homology groups of these interesting spaces.

The research conducted to achieve the project goals, together with the training in teaching and management received during the fellowship, will have a major positive impact on the career development of the experienced researcher. On the research level, this impact is through the acquisition of knowledge in new research areas, in particular in homology stability and the homotopy theory of Lie group actions.

The project will be carried out in an exceptionally active and successful scientific community at the University of Copenhagen, supervised by a world expert in the homotopy theory of Lie groups. Completion of the project will serve as a springboard to build new collaborations and to enter further advanced projects in a range of areas. It is thus a perfect preparation for a high-level research career in mathematics.
Bioresorbable ostheosynthesis implant

In the EU, 20 % of all hospital treated injuries are bone fractures. If surgical treatment of bone fractures is necessary, it is currently performed with standard metal implants. Conventional gold-standard titanium or steel implants are too stiff, have adverse effects on the patient (feeling of pain during temperature changes) and lead to stress-shielding. Their usage is associated to the risk of infections and bone loss. Often a secondary surgery for removal is needed which is associated with almost 50 % higher healthcare costs. When Mg-based implants are used they are frequently alloyed with rare earth elements, aluminium, silver or zirconium. However, zirconium reduces the healing properties, aluminium and rare earth elements may remain in the organism and can lead to unpredictable effects, while the application of silver might result in a silver-disease.

Within the BRI.SCREW project we will introduce to the market revolutionary osteosynthesis implants that do not need surgical removal. We will use our own bioresorbable magnesium alloy which consists merely out of extremely high purified natural materials including Mg, Ca and Zn. BRI.SCREW is 100 % biodegradable, stimulates the healing process of the bone and has no side effects due to the implant's composition. Our orthopaedic implants will prevent the need of a second operation to remove the implant and will therefore minimize patient costs and surgical risks.

Our team consists of highly qualified individuals with experience in medicine, engineering and quality assurance. The investment in BRI.SCREW will pay off. We have estimated that after 5 years from launch, we will sell in total 81.900 BRI.SCREWs (sales €13.2M), hire 10 technical employees, and manage 5% of the global market. We will earn €8.7M profit and generate a ROI of 3.95 by commercializing this technology. We foresee the payback time in 2 years after commercialization (in Q3 of 2020).
Establishment of Uropygial Gland Growth Curves for White, Three-Way Crossed Mule Ducklings

Growth curves for the uropygial gland (UG) of white, 3-way crossed mule ducklings were established using the Gompertz function. In total, 144 ducklings were fed in 12 floor pens with 12 birds in each pen. Each pen contained an equal number of animals of each sex. Feed and water were supplied ad libitum throughout the entire experimental period. The weekly change in UG weight was recorded in males and females from hatch to 8 weeks of age. The weight and length of the UG, the width of the lobus glandulae uropygialis, the length and width of the pluma of the circulus uropygialis, and the index of the papilla uropygialis were measured once a week in individual ducklings in one pen. The average UG weight gain observed in white, 3-way crossed drakes was significantly higher than that of ducks of 21-56 days of age (P < 0.05). The UG length was 1.64-2.23 times the width of the left or right lobe, and the development of the UG was delayed from 3-4 weeks of age. The morphology of the UG changed from elliptical to elongated-elliptical with age. The right and left lobus glandulae uropygialis were symmetrical. The Gompertz growth functions of the UG in drakes and ducks were W=5.49e -e-0.675(t-1.955) and W=4.76e -e-0.685(t-1.936), respectively, where t represents age in weeks. These equations indicated that the maximum growth rate for drakes occurred at 14.1 days of age and for ducks at 13.6 days of age.
Abstract 153: High neuropilin-1 expression on monocytes is positively associated with trastuzumab-mediated antibody-dependent cellular cytotoxicity of the HER2-overexpressing breast cancer cell line

Purpose Neuropilin-1 (Nrp1) was initially characterized as a guide for migrating cells and axons in developing nervous systems and is essential for the precise formation of neurons and vasculature. However, it was recently reported to also play an important role in the immune system. This study aimed to investigate the role of Nrp1 on monocytes in trastuzumab-mediated antibody-dependent cellular cytotoxicity (ADCC) targeting the HER2-positive human breast cancer cell line SKBR3. In addition, we evaluated the gene expression profile of monocytes expressing high and low levels of Nrp1. Methods Peripheral blood mononuclear cells from healthy volunteers were prepared using BD Vacutainer CPT Cell Preparation Tubes. The cells were stained with fluorescein isothiocyanate-conjugated anti-CD14 and allophycocyanin-conjugated anti-Nrp1 antibodies, and Nrp1high and Nrp1low monocyte subsets were sorted using FACSAria. These cells were used as effector cells in a conventional ADCC assay with SKBR3 as target cells and trastuzumab as the antibody. Target cell cytotoxicity was measured using the LDH cytotoxic test kit. The effector cell to target cell ratios of 20:1 and 10:1 were used. Gene expression analysis was performed by Affymetrix GeneChip microarrays. All study protocols were approved by the Ethics Committee for Clinical Research, Kyoto University Hospital, Kyoto, Japan (authorization number G424). Results The LDH cytotoxic test revealed significantly higher target cancer cell cytotoxicity in sorted Nrp1high monocytes than in Nrp1low monocytes (75% vs. 45%, p Conclusion These results suggest that determination of Nrp1 expression can be used to classify monocytes as populations with and without cellular cytotoxic activity. Analysis of Nrp1 expression levels in monocytes can therefore be used to identify HER2-positive breast cancer patients for whom trastuzumab therapy will be less effective. Citation Format: Kosuke Kawaguchi, Eiji Suzuki, Masao Kawashima, Masakazu Toi. High neuropilin-1 expression on monocytes is positively associated with trastuzumab-mediated antibody-dependent cellular cytotoxicity of the HER2-overexpressing breast cancer cell line. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 153. doi:10.1158/1538-7445.AM2014-153
DNA transfection of bone marrow mesenchymal stem cells using micro electroporation chips

Experimental study of electroporation of bone marrow mesenchymal stem cells (MSCs) at the single-cell level was carried out on a micro EP chip by using single electric rectangular pulse. The threshold values of the electrode potential and pulse width for gas bubble generation on the micro electrodes due to electrolysis of water were revealed as 4.5 volt and 100 μs, respectively. Quantitative EP study was performed with various electric field strengths for various pulse widths, ranging from 20 μs to 15 ms. Over 1,000 single-cell EP results were used to construct an EP “phase diagram”, which delineates the boundaries for (1) effective EP of MSCs and (2) electric cell lysis of MSCs. Finally, the micro EP chip showed successful transfection of the pEGFP-C1 plasmid into the MSCs by properly choosing the electric parameters from the EP “phase diagram”.
Applying Deep Learning to the Cache Replacement Problem

Despite its success in many areas, deep learning is a poor fit for use in hardware predictors because these models are impractically large and slow, but this paper shows how we can use deep learning to help design a new cache replacement policy. We first show that for cache replacement, a powerful LSTM learning model can in an offline setting provide better accuracy than current hardware predictors. We then perform analysis to interpret this LSTM model, deriving a key insight that allows us to design a simple online model that matches the offline model's accuracy with orders of magnitude lower cost. The result is the Glider cache replacement policy, which we evaluate on a set of 33 memory-intensive programs from the SPEC 2006, SPEC 2017, and GAP (graph-processing) benchmark suites. In a single-core setting, Glider outperforms top finishers from the 2nd Cache Replacement Championship, reducing the miss rate over LRU by 8.9%, compared to reductions of 7.1% for Hawkeye, 6.5% for MPPPB, and 7.5% for SHiP++. On a four-core system, Glider improves IPC over LRU by 14.7%, compared with improvements of 13.6% (Hawkeye), 13.2% (MPPPB), and 11.4% (SHiP++).
CLONING OF CYTOCHROME P450 GENES FROM NICOTIANA

The present invention relates to P450 enzymes and nucleic acid sequences encoding P450 enzymes in Nicotiana, and methods of using those enzymes and nucleic acid sequences to alter plant phenotypes.
Instruction manual for the <scp>ILAE</scp> 2017 operational classification of seizure types

This companion paper to the introduction of the International League Against Epilepsy (ILAE) 2017 classification of seizure types provides guidance on how to employ the classification. Illustration of the classification is enacted by tables, a glossary of relevant terms, mapping of old to new terms, suggested abbreviations, and examples. Basic and extended versions of the classification are available, depending on the desired degree of detail. Key signs and symptoms of seizures (semiology) are used as a basis for categories of seizures that are focal or generalized from onset or with unknown onset. Any focal seizure can further be optionally characterized by whether awareness is retained or impaired. Impaired awareness during any segment of the seizure renders it a focal impaired awareness seizure. Focal seizures are further optionally characterized by motor onset signs and symptoms: atonic, automatisms, clonic, epileptic spasms, or hyperkinetic, myoclonic, or tonic activity. Nonmotor-onset seizures can manifest as autonomic, behavior arrest, cognitive, emotional, or sensory dysfunction. The earliest prominent manifestation defines the seizure type, which might then progress to other signs and symptoms. Focal seizures can become bilateral tonic-clonic. Generalized seizures engage bilateral networks from onset. Generalized motor seizure characteristics comprise atonic, clonic, epileptic spasms, myoclonic, myoclonic-atonic, myoclonic-tonic-clonic, tonic, or tonic-clonic. Nonmotor (absence) seizures are typical or atypical, or seizures that present prominent myoclonic activity or eyelid myoclonia. Seizures of unknown onset may have features that can still be classified as motor, nonmotor, tonic-clonic, epileptic spasms, or behavior arrest. This "users' manual" for the ILAE 2017 seizure classification will assist the adoption of the new system.
Climate sensitivity of glacial landscape dynamics

How do erosion rates in glacial landscapes vary with climate change and how do such changes affect the dynamics of mountain glaciers? Providing quantitative constraints towards this question is the main objective of COLD. These constraints are so important because mountain glaciers are sensitive to climate change and their deposits provide a unique history of Earths terrestrial climate that allows reconstructing leads and lags in the climate system.

The climate sensitivity of mountain glaciers is influenced by debris on their surface that impedes ice melting. Theoretical models of frost-related bedrock fracturing predict that rates of debris production are temperature-sensitive and that its supply to mountain glaciers increases during warming periods. Thus a previously unrecognized negative feedback emerges that lowers ice melt rates and potentially buffers part of the ice retreat due to warming. However, the temperature-sensitivity of debris production in glacial landscapes is poorly understood. Specifically, we lack robust erosion rate estimates for these landscapes, which are key for testing models of frost-related bedrock fracturing.

Here, I propose an innovative combination of new tools that capitalize on recent developments in cosmogenic nuclide geochemistry, landscape evolution modelling, and planetary-scale remote sensing analysis. I will use these tools to quantify headwall erosion rates in mountainous glacial landscapes and to gauge the sensitivity of mountain glaciers to variations in debris supply. Expected results will provide a basis for assessing the impacts of global warming, for improved predictions of valley glacier evolution, and for palaeoclimate interpretations of glacial landforms. COLD will focus on glacial landscapes, but the inverse modelling approach I will develop is applicable to any landscape on Earth and has the potential to fundamentally transform how we use cosmogenic nuclides to constrain Earth surface dynamics.