SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
SEPARATING BURST FROM BACKGROUND SPIKES IN MULTICHANNEL NEURONAL RECORDINGS USING RETURN MAP ANALYSIS

We propose a preprocessing method to separate coherent neuronal network activity, referred to as "bursts", from background spikes. High background activity in neuronal recordings reduces the effectiveness of currently available burst detection methods. For long-term, stationary recordings, burst and background spikes have a bimodal ISI distribution which makes it easy to select the threshold to separate burst and background spikes. Finite, nonstationary recordings lead to noisy ISIs for which the bimodality is not that clear. We introduce a preprocessing method to separate burst from background spikes to improve burst detection reliability because it efficiently uses both single and multichannel activity. The method is tested using a stochastic model constrained by data available in the literature and recordings from primary cortical neurons cultured on multielectrode arrays. The separation between burst and background spikes is obtained using the interspike interval return map. The cutoff threshold is the key parameter to separate the burst and background spikes. We compare two methods for selecting the threshold. (1) The 2-step method, in which threshold selection is based on fixed heuristics. (2) The iterative method, in which the optimal cutoff threshold is directly estimated from the data. The proposed preprocessing method significantly increases the reliability of several established burst detection algorithms, both for simulated and real recordings. The preprocessing method makes it possible to study the effects of diseases or pharmacological manipulations, because it can deal efficiently with nonstationarity in the data.
INSULATION

A mineral wool insulating product which comprises a layer, notably a continuous layer, of mixed mineral wool fibres, the mixed mineral wool fibres comprising a binder, first mineral wool fibres and second mineral wool fibres, the first mineral wool fibres and the second mineral wool fibres have a difference of softening point.
APPARATUS FOR IMPLEMENTING HYDROTOXICOLOGICAL TESTS

Equipment for performing hydrotoxicological tests, having a chamber which is gas-tightly separated from the environment and contains a test tank eligible for liquid storage, above all there is a closeable opening which task is to help the placing in and out of the tank and ensures access to it, and the equipment contains at least two chambers (2) which are separated from each other by the help of gas tight plates (5) and each chamber (2) is able to receive several tanks (3); each chamber (2) has two gas tight sides (6) fixed to the truss (1a) of the equipment (1), front face (7), backside (9), gas tight top (10) and bottom parts (10a); ventilators (12) are inserted to the openings (11) of the sides (6); and the tank (3) is made of a single piece and closed by a removable cover (13) which contains blow-holes (14, 15). .
IMPROVED DOWNHOLE TOOL AND METHOD

A cleaning tool (1) for use in cleaning ferrous material from a wellbore has a magnetic cleaning functionality by provision of magnets (5) in an Halbach array on a downhole tool component of a workstring. The Halbach array may be an Halbach cylinder positioned on a mandrel wherein the magnetic field is external to the cylinder with substantially zero magnetic field within the tool.
Disrupting industrial robots with ai software - how new ai-driven software can be used to program industrial robots to do new tasks faster, resulting in massive productivity savings

Cambrian Intelligence (“Cambrian”) is a novel retrofittable Artificial Intelligence (AI) software. The solution makes robots adaptive and cuts down robot configuration times from 2-3 weeks to a single day. As a result, production flexibility increases and costs are cut by a factor of +10x.
Cambrian has shown that demand for its solution exists by securing a portfolio of notable clients: Mercedes-Benz Daimler, Volkswagen, Sony and Denso.

Cambrian’s market is the emerging robotics software market. The potential addressable software market is vast (61B EUR globally) with forecasted double-digit growth (15%). The underlying driver for the market is the global industrial robots install base (+2M globally). Automation and related cost savings drive growth for the robot install base. Manufacturing is the largest single sector for robots.

Cambrian has a unique value proposition compared to the five other robot software suppliers
• Cambrian’s solution can be retrofitted to all industrial robots
• Cambrian’s AI software has a distinct cost advantage vs. traditional naïve robotics software providers
• Cambrian’s solution has a competitive advantage vs. other AI software providers due to its novel simulation robot training approach, and its unique focus on the manufacturing sector
• Lastly, Cambrian’s solution enables side-by-side work with humans opening doors for new markets (e.g., collaborative robots, SMEs)

Cambrian has the plan and the resources to build a global success story
• Team has strong technical expertise and experience in building successful businesses
• Manufacturing sector provides a winning go-to-market route leveraging existing customer references
• To enter the market, Cambrian still needs to develop its solution (TRL 6). H2020/Phase 1 funding will be used to develop the solution from TRL 6 to TRL 7 with Mercedes-Benz Daimler. Later funding will finalize development to TRL 9 and commercialization and scale-up
Maternal Genome-Wide DNA Methylation Patterns and Congenital Heart Defects

The majority of congenital heart defects (CHDs) are thought to result from the interaction between multiple genetic, epigenetic, environmental, and lifestyle factors. Epigenetic mechanisms are attractive targets in the study of complex diseases because they may be altered by environmental factors and dietary interventions. We conducted a population based, case-control study of genome-wide maternal DNA methylation to determine if alterations in gene-specific methylation were associated with CHDs. Using the Illumina Infinium Human Methylation27 BeadChip, we assessed maternal gene-specific methylation in over 27,000 CpG sites from DNA isolated from peripheral blood lymphocytes. Our study sample included 180 mothers with non-syndromic CHD-affected pregnancies (cases) and 187 mothers with unaffected pregnancies (controls). Using a multi-factorial statistical model, we observed differential methylation between cases and controls at multiple CpG sites, although no CpG site reached the most stringent level of genome-wide statistical significance. The majority of differentially methylated CpG sites were hypermethylated in cases and located within CpG islands. Gene Set Enrichment Analysis (GSEA) revealed that the genes of interest were enriched in multiple biological processes involved in fetal development. Associations with canonical pathways previously shown to be involved in fetal organogenesis were also observed. We present preliminary evidence that alterations in maternal DNA methylation may be associated with CHDs. Our results suggest that further studies involving maternal epigenetic patterns and CHDs are warranted. Multiple candidate processes and pathways for future study have been identified.
Mastering Natural Language Processing with Python

Maximize your NLP capabilities while creating amazing NLP projects in Python About This BookLearn to implement various NLP tasks in PythonGain insights into the current and budding research topics of NLP This is a comprehensive step-by-step guide to help students and researchers create their own projects based on real-life applications Who This Book Is For This book is for intermediate level developers in NLP with a reasonable knowledge level and understanding of Python. What You Will Learn Implement string matching algorithms and normalization techniques Implement statistical language modeling techniques Get an insight into developing a stemmer, lemmatizer, morphological analyzer, and morphological generator Develop a search engine and implement POS tagging concepts and statistical modeling concepts involving the n gram approachFamiliarize yourself with concepts such as the Treebank construct, CFG construction, the CYK Chart Parsing algorithm, and the Earley Chart Parsing algorithm Develop an NER-based system and understand and apply the concepts of sentiment analysis Understand and implement the concepts of Information Retrieval and text summarizationDevelop a Discourse Analysis System and Anaphora Resolution based systemIn Detail Natural Language Processing is one of the fields of computational linguistics and artificial intelligence that is concerned with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning. This book will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python. It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK. You will sequentially be guided through applying machine learning tools to develop various models. We'll give you clarity on how to create training data and how to implement major NLP applications such as Named Entity Recognition, Question Answering System, Discourse Analysis, Transliteration, Word Sense disambiguation, Information Retrieval, Sentiment Analysis, Text Summarization, and Anaphora Resolution. Style and approach This is an easy-to-follow guide, full of hands-on examples of real-world tasks. Each topic is explained and placed in context, and for the more inquisitive, there are more details of the concepts used.
Systems chemistry approach towards semiconductive supramolecular copolymers with homo- and heterometallophilic interactions

Infinite one-dimensional structures with a metallic main chain of short metal-metal contacts have attracted considerable attention in the field of materials science for many decades due to their excellent optical properties and remarkable dichroism and electrical (semi)conductivity. These materials suffer, however, from decomposition prior to melting and low solubility and processability. The strategy of introducing alkyl side chains of different nature in the past two decades proved to be particularly successful towards better soluble materials or gels with implications in optoelectronics. However, this comes at the price of reduced bulk conductivities leading in some cases to electrical insulators due to the perturbation of the metal-metal contacts.

In this proposal, a Systems Chemistry approach will be introduced to create unprecedented supramolecular copolymers that are anticipated to exhibit: a) high solubility, reversibility and stability in organic solvents and water and, b) short metal contacts involving either positively and negatively charged metal ions of the same nature (Pt2+/Pt2-) or dissimilar metal centres (Pd(II)/Pt(II) and Ag(I)/Au(I)) with equivalent coordination geometry. To achieve this goal, ligands with an extended aromatic surface for pi-stacking supported by complementary non-covalent interactions have been selected to bring suitable metal ions in close proximity. This can be summarized in three approaches. 1) Optimization of the geometrical complementarity between the interacting ligands; 2) Introduction of hydrogen bonding and electrostatic complementarity between side groups, and 3) Exploiting weak interactions between geometrically equivalent electron rich and electron poor units. The extent of metal-metal interactions can be ultimately controlled by introducing suitable light switchable groups. 

This concept is expected to provide access to novel, highly-ordered materials with rich photophysical and semiconductive properties.
Reorientation of Sputnik Planitia implies a subsurface ocean on Pluto

The deep nitrogen-covered Sputnik Planitia (SP; informal name) basin on Pluto is located very close to the longitude of Pluto's tidal axis[1] and may be an impact feature [2], by analogy with other large basins in the solar system[3,4]. Reorientation[5-7] due to tidal and rotational torques can explain SP's location, but requires it to be a positive gravity anomaly[7], despite its negative topography. Here we argue that if SP formed via impact and if Pluto possesses a subsurface ocean, a positive gravity anomaly would naturally result because of shell thinning and ocean uplift, followed by later modest N2 deposition. Without a subsurface ocean a positive gravity anomaly requires an implausibly thick N2 layer (greater than 40 km). A rigid, conductive ice shell is required to prolong such an ocean's lifetime to the present day[8] and maintain ocean uplift. Because N2 deposition is latitude-dependent[9], nitrogen loading and reorientation may have exhibited complex feedbacks[7].
Microstructure and Mechanical Properties of Wrought Mg-4.1Li-2.5Al-1.7Zn-1Sn Alloy

An Mg-Li-Al-Zn-Sn alloy was prepared by vacuum melting. The actual content of the elements in the alloy was determined using inductively coupled plasma-atomic emission mass spectrometry (ICP-AEMS). The density of the alloy was detected using Archimedes’ method. Extrusion and rolling deformation were carried out on this alloy. Its microstructures and mechanical properties were then studied with an optical microscope (OM), scanning electronic microscope (SEM), X-ray diffractometer (XRD), energy dispersive spectrometer (EDS), and tensile tester. The extruded alloy was composed of α-Mg and Mg2Sn phases and had good strength and elongation properties as well as a good comprehensive performance. After further rolling deformation, an Al-Li phase appeared due to atomic diffusion during the hot rolling process. Strain-hardening and the strengthening effect of the Al-Li phase further improved the strength of the alloy but decreased its elongation capacity.
Technological Development of Norasota

The project builds on the newly installed and commissioned modern vulcanisation line for the production of seals from EPDM, the aim of the project is to supplement the line with subsequent specialised machines for the processing and finalisation of the products of the vulcanisation line.
Synthesis and structure–activity relationships of small molecule inhibitors of the simian virus 40 T antigen oncoprotein, an anti-polyomaviral target

Polyomavirus infections are common and relatively benign in the general human population but can become pathogenic in immunosuppressed patients. Because most treatments for polyomavirusassociated diseases nonspecifically target DNA replication, existing treatments for polyomavirus infection possess undesirable side effects. However, all polyomaviruses express Large Tumor Antigen (T Ag), which is unique to this virus family and may serve as a therapeutic target. Previous screening of pyrimidinone–peptoid hybrid compounds identified MAL2-11B and a MAL2-11B tetrazole derivative as inhibitors of viral replication and T Ag ATPase activity (IC50 of ~20-50 μM. To improve upon this scaffold and to develop a structure–activity relationship for this new class of antiviral agents, several iterative series of MAL2-11B derivatives were synthesized. The replacement of a flexible methylene chain linker with a benzyl group or, alternatively, the addition of an ortho-methyl substituent on the biphenyl side chain in MAL2-11B yielded an IC50 of 50 μM, which retained antiviral activity. After combining both structural motifs, a new lead compound was identified that inhibited T Ag ATPase activity with an IC50 of 50 μM. We suggest that the knowledge gained from the structure–activity relationship and a further refinement cycle of the MAL2-11B scaffold will provide a specific, novel therapeutic treatment option for polyomavirus infections and their associated diseases.
METHOD FOR PRODUCING CARBON FIBER AGGREGATE, AND METHOD FOR PRODUCING CARBON FIBER-REINFORCED PLASTIC

A method of producing a carbon fiber aggregate cutting an edge material of a carbon fiber base material composed of carbon fibers to obtain a cut piece, and forming the cut piece into a web and/or into a nonwoven fabric to obtain a carbon fiber aggregate.
Boosting INVESTments in INnovation of SMEs along the entire FISHery and aquaculture value chain

INVESTINFISH main objective is strengthening of competitiveness of F&A production system through promotion of investment programs aimed at acquisition of innovation services. INVESTINFISH implements pilot actions providing some IT-HR F&A SMEs with a roadmap to innovation instruments & services, boosting creation of marketable innovative products and/or processes that will improve the SMEs potential market positioning. Expected benefits for enterprises are: accelerate time to market, increase linkages with innovators, increase F&A enterprises R&D expenditures in new&greener components/technologies/services, to boost HR-IT competitiveness. INVESTINFISH intends also to offer to the F&A sector to substitute the value chain concept with value network, proposing a shift from traditional value chains towards more collaborative value networks._x000D_
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Information added on 2020-05-18, regarding the mitigation of the effects of COVID-19 (the coronavirus pandemic that started in 2019) (English language only): Support to SMEs in F&A sector for new entrepreneurship development.
Local and Global Spatial Organization of Interaural Level Difference and Frequency Preferences in Auditory Cortex

Abstract Despite decades of microelectrode recordings, fundamental questions remain about how auditory cortex represents sound-source location. Here, we used in vivo 2-photon calcium imaging to measure the sensitivity of layer II/III neurons in mouse primary auditory cortex (A1) to interaural level differences (ILDs), the principal spatial cue in this species. Although most ILD-sensitive neurons preferred ILDs favoring the contralateral ear, neurons with either midline or ipsilateral preferences were also present. An opponent-channel decoder accurately classified ILDs using the difference in responses between populations of neurons that preferred contralateral-ear-greater and ipsilateral-ear-greater stimuli. We also examined the spatial organization of binaural tuning properties across the imaged neurons with unprecedented resolution. Neurons driven exclusively by contralateral ear stimuli or by binaural stimulation occasionally formed local clusters, but their binaural categories and ILD preferences were not spatially organized on a more global scale. In contrast, the sound frequency preferences of most neurons within local cortical regions fell within a restricted frequency range, and a tonotopic gradient was observed across the cortical surface of individual mice. These results indicate that the representation of ILDs in mouse A1 is comparable to that of most other mammalian species, and appears to lack systematic or consistent spatial order.
An investigation for process capability in additive manufacturing

This work presents an investigation for process capability in additive manufacturing (AM). Fused Filament Fabrication (FFF) is the additive manufacturing method, which is based for this verification. The typically layer-upon-layer building method in FFF has special effects to the geometrical quality and is important for comprehending the challenges in the additive manufacturing. But the continuously increasing of manufacturing quality in AM methods has enlarges the applying from rapid prototyping to rapid manufacturing or even to rapid tooling. The reliable applying of AM methods in these areas needs an evaluation and validation for process stability and is part of this paper. The necessary tolerance specification for purposing the process capability is common in mechanical engineering and is considered in results.
New high temperature in-situ premix gas combustion systems for more efficient and cleaner combustion of hydrogen and lean gases

The promeos innovation project “New in-situ premix gas burners” makes the combustion of difficult to handle gaseous fuels like hydrogen or hot gases more efficient, less polluting, less noisy, safer and more compact compared to state of the art burners, thus opening up new markets. Hydrogen or (lean) biogas mixtures, landfill gas or (pyrolysis) process gases today often need to be flared and are simply wasted. promeos is for the first time ever enabling the well controlled, more efficient and cleaner combustion of these fossil or renewable gaseous fuels, thus helping protect the climate.
The new in-situ premix gas burners are targeted at global industrial markets worth billions of Euro, wherever high temperature heat is required and process gas – of any calorific value and composition - is available locally as a fuel. The in-situ premix gas burners can also be used in automotive or fuel cell applications.
State of the art burners use either the diffusion or premix approach to mix fuel and air. Special or lean gases are typically handled more safely in diffusion type burners, at the cost of losing the better efficiency, higher safety and more compact design of the premix approach. The unique promeos porous burner in use since 2007 uses the conventional premix approach but as a volumetric burner. The NEW promeos in-situ premix burner is built on a new concept of micro premixing via a 3D-channel structure just before the flame front – an approach called MFT “mixing flame trap”. It is only with this approach that the system can burn special and lean gases in a more efficient and safer way. It is also capable of generating higher temperatures than catalytic burners, where the catalyst reduces the temperature at which the fuel starts to burn. The MFT component can only be manufactured at target costs by making use of a 3D-printing approach.
Proposal of a method for routing school buses in a small-sized county

The School Bus Routing Problem (SBRP) is widely discussed in the operations research literature and can be solved by several exact methods and heuristics. This problem seeks to designate the most efficient routes for a fleet of school buses, minimizing the total distance covered and considering variables such as bus stop locations, number of passengers, and the assigned destination for each of them. This study aims at solving a real case SBRP of a small-sized county located in the state of Paraná. The proposed method is based on the Capacitated Vehicle Routing Problem (CVRP) and Travelling Salesman Problem (TSP) combined with a heuristic correction that guarantees sequence constraints, in which the student has to be collected before visiting their destination school. It was possible to obtain two routes of 30.76 km and 17.42 km respectively and both with the total vehicles’ capacity of 24 students, which corresponds to the reduction of about 10% in the daily distance covered by two buses.