SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Graphene functionalized with 3-mercatopropionic acid capped zinc peroxide nanoparticles: A potential ferromagnetic material at room-temperature

Abstract The literature reveals that ferromagnetism in zinc peroxide (ZnO2) is due to the exchange interaction between localized electron spin moments resulting from oxygen vacancies at the surface of nanoparticles, while in graphene may be due to existence of various defects. However ZnO2 show paramagnetic behaviour, whereas graphene exhibits very low magnetic intensity (0.0004 emu g−1). To enhance magnetization, graphene was treated with 3-mercatopropionic acid followed by coating with polyvinylpyrrolidone (PVP) capped ZnO2 nanoparticles. Interestingly coating of graphene over ZnO2 does not enhance magnetization, whereas coating of 15–20% ZnO2 nanoparticles over graphene enhances magnetization more than 30 times, which gradually decreases on increasing concentration of ZnO2 nanoparticles. Such coated graphene shows highest saturation of magnetization at room temperature ever reported in graphene (130 memu g−1). The Magnetic measurements studies of ZnO2 nanoparticles coated graphene indicates excellent room temperature ferromagnetic behaviour, which has been further confirmed by Electron Paramagnetic Resonance and Magnetic Force Microscopy studies. A comparative study was also done with ZnO nanoparticles with graphene and only 60 memu g−1 magnetization has been observed. It has been concluded that higher magnetization in graphene coated with ZnO2 than ZnO is due to more oxygen vacancies in ZnO2 nanoparticles.
Apparatus and method for stacking

Apparatus and method for stacking product such as flexible paper towels including a slotted wheel in combination with at least two endless chain conveyors equipped with finger assemblies which are orbitally offset so that while one finger assembly of one chain conveyor is accumulating a plurality of substacks, a first finger assembly of the other chain conveyor is being readied to take over the development of a successive stack, and programmable servo motor associated with the chain conveyors for varying the finger assembly advance during different portions of the orbital movement of the finger assemblies.
Two paths of a shared past: memory and representation of the nazi genocide of roma in belarus and lithuania

The Romani communities of Belarus and Lithuania experienced World War II and the Nazi persecution in similar ways, such as deportations for forced labour, mass murder in the countryside and survival in Soviet partisan units. Throughout the Soviet era, Roma in the two countries faced the same challenges in their commemoration efforts, being denied a public recognition of their suffering.
However, an oral history survey shows that there are also considerable differences between the memories of Belarusian and Lithuanian Roma. While Roma from Belarus emphasize their participation in the Soviet partisan units, describing it in the established Soviet patriotic vocabulary, Lithuanian Roma are more likely to underline their suffering and losses, as well as local complicity in their persecution. 
Why do the Romani minorities of two neighboring post-Soviet states make sense of their shared past so differently? This study suggests that the key to understanding this phenomenon lies in the socio-political context of memory work. Drawing on the post-Soviet transformations, official memory and minority politics in Belarus and Lithuania, this interdisciplinary research project compares the memory trajectories of Roma in these countries. It pays equal attention to the memories of “ordinary” Roma and Romani activists and the public representation of the Nazi genocide of Roma. Theoretically, this study seeks to understand how the processes of social exclusion and inclusion work at the level of memory and commemoration, and in what ways memory of the bitter past affects the identity of an ethnic group.
METHOD OF CALIBRATING FRACTURE GEOMETRY TO MICROSEISMIC EVENTS

A method of performing a fracture operation is provided at a wellsite. The wellsite is positioned about a subterranean formation having a wellbore therethrough and a complex fracture network therein. The complex fracture network includes natural fractures, and the wellsite stimulated by injection of an injection fluid with proppant into the complex fracture network. The method involves generating wellsite data comprising measurements of microseismic events of the subterranean formation, modeling a hydraulic fracture network and a discrete fracture network of the complex fracture network based on the wellsite data, and performing a seismic moment operation. The method involves determining an actual seismic moment density based on the wellsite data and a predicted seismic moment density based on shear and tensile components of the simulated hydraulic fracture network, and calibrating the discrete fracture network based on a comparison of the predicted moment density and the actual moment density.
How altered sensory experience changes the cortex: plasticity processes in the visual cortex and their relation to ecological real-life events under shifted perception condition

To properly function in daily life we need to interact with our surrounding world. How do these interactions forge our sensory cortices? And how does our visual cortex adapt in order to function in an altered environment? The proposed study combines functional magnetic resonance imaging (fMRI) and novel analysis of ecological real-life events with sensory-motor training in order to tackle these questions in both healthy and brain damaged individuals. We will use a specially designed virtual-reality-based prism-adaptation device (VR-PA) that creates a lateral shift in the user’s sensory experience, to probe experience-dependent changes in visual cortex functional connectivity. The VR-PA device will be used for rehabilitation of stroke patients suffering from an inability to attend stimuli in the left side of space (hemispatial neglect). We will explore the neuronal basis of this perceptual rehabilitation using functional connectivity methods in hemispatial neglect patients and in neurologically intact participants. We will use novel fMRI analyses to study how the severity of the perceptual impairment in neglect patients before treatment is reflected in altered pattern of intra-hemispheric connectivity in the primary visual cortex and in its connectivity with parietal areas. We will test whether exposure to VR-PA in healthy controls would result in a temporary imbalanced connectivity pattern, mimicking the patients’ condition. Conversely, in patients, VR-PA training, ameliorating perceptual deficits, would make connectivity patterns more similar to those of an intact brain. Multiple behavioural and physiological measures will be acquired during the training to identify key behavioural triggers of cortical plasticity. Combining the researcher's expertise in functional connectivity and the host specialization in multisensory-motor plasticity would create a platform for novel discoveries in the field of training-induced plasticity and its translational applications.
BIODEGRADABLE APPARATUS AND METHOD FOR CLOSURE OF TROCAR DEFECTS

A biodegradable device for providing scaffolding for a trocar defect to promote healing. The device consists of an upper and lower scaffold, offset by a connector. The device is arranged so the distance between the lower surface of the upper scaffolding and upper surface of the lower scaffolding holds the fascia around the trocar defect while promoting tissue growth. The surfaces of the scaffolding in contact with the trocar defect are textured to maximize adherence to tissue.
TWO STAGE PROCESS FOR PRODUCING PURIFIED GAS

The present invention provides a process for producing purified gas from a feed gas stream comprising methane and gaseous contaminants, the process comprising the steps of : 1) providing the feed gas stream; 2) cooling the feed gas stream to a temperature at which at least part of the feed gas stream is present in the liquid phase; 3) separating the cooled feed gas stream by means of cryogenic distillation into a bottom stream rich in contaminants and lean in methane, and into a top stream rich in methane and lean in gaseous contaminants, in which the bottom stream contains between 0.5 and 15 % of the methane present in the feed gas stream; 4) cooling the stream rich in methane to a temperature at which solid and/or liquid phase contaminants are formed; 5) introducing the cooled stream of step 4) into a gas/liquid/solids separation vessel, and 6) removing from the gas/liquid/solids separation vessel the purified gas and a stream rich in contaminants.
Adjuvant and Salvage Radiation for Advanced Prostate Cancer: A Discussion During the ESOU 2010 Meeting

Abstract Adjuvant radiation therapy (RT) for advanced localised prostate cancer (PCa) is now supported by the findings from three randomised controlled trials, having shown improved biochemical recurrence–free survival rates in three trials and an improved metastases-free survival in one trial. Patients with positive surgical margins are most likely to benefit from adjuvant radiotherapy. In this article, the three trials are compared and the control groups scrutinised. Salvage RT at the time of a biochemical or local recurrence is still valid and seems particularly beneficial for men with more rapidly rising prostate-specific antigen values prior to salvage treatment, when disease-specific survival is considered.
Wall Carving Decoration and Motifs Influences Spatial Social Interaction: Is it Intentional or Accidental?

Abstract The woodcarving have considered as an important component in traditional Malay vernacular architecture were meant to perform visual values. This study examined of the wall woodcarving decoration, and it motifs found in traditional Malay house with two research questions. First, does the decoration and motifs influences social interaction of spatial? Second, is it the choice of decoration and motifs applied on the wall of Malay traditional house are intentional or accidental? This study can encourage in the direction of quality of life and sustainability of Malay's heritage, also identifies best-practices of choosing the proper woodcarving design to the interior space category in the future.
A review of modeling techniques for genetic regulatory networks

Understanding the genetic regulatory networks, the discovery of interactions between genes and understanding regulatory processes in a cell at the gene level are the major goals of system biology and computational biology. Modeling gene regulatory networks and describing the actions of the cells at the molecular level are used in medicine and molecular biology applications such as metabolic pathways and drug discovery. Modeling these networks is also one of the important issues in genomic signal processing. After the advent of microarray technology, it is possible to model these networks using time-series data. In this paper, we provide an extensive review of methods that have been used on time-series data and represent the features, advantages and disadvantages of each. Also, we classify these methods according to their nature. A parallel study of these methods can lead to the discovery of new synthetic methods or improve previous methods.
Multi-RCM ensemble downscaling of NCEP CFS winter season forecasts: Implications for seasonal hydrologic forecast skill

[1] We assess the value of dynamical versus statistical downscaling of National Centers for Environmental Prediction's (NCEP) Climate Forecast System (CFS) winter season forecasts for seasonal hydrologic forecasting. Dynamically downscaled CFS forecasts for 1 December to 30 April of 1982–2003 were obtained from the Multi-RCM Ensemble Downscaling (MRED) project that used multiple Regional Climate Models (RCMs) to downscale CFS forecasts. Statistical downscaling of CFS forecasts was achieved by a much simpler bias correction and spatial downscaling method. We evaluate forecast accuracy of runoff (RO), soil moisture (SM), and snow water equivalent produced by a hydrology model forced with dynamically (the MRED forecasts) and statistically downscaled CFS forecasts in comparison with predictions of those variables produced by forcing the same hydrology model with gridded observations (reference data set). Our results show that the MRED forecasts produce modest skill beyond what results from statistical downscaling of CFS. Although the improvement in hydrologic forecast skill associated with the ensemble average of the MRED forecasts (Multimodel) relative to statistical downscaled CFS forecasts is field significant for RO and SM forecasts with up to 3 months lead, the region of improvement is mainly limited to parts of the northwest and north central U.S. In general, one or more RCMs outperform the other RCMs as well as the Multimodel. Hence, we argue that careful selection of RCMs (based on their hindcast skill over any given region) is critical to improving hydrologic forecast skill using dynamical downscaling.
Learning pixel-perfect 3d vision and generative modeling

A fascinating tension exists between computer vision and computer graphics. Decades of research efforts have led to the  ability of graphics algorithms to simulate the world to a degree often indistinguishable from reality -- given an accurate enough model of scene geometry and appearance. Similarly, decades of ingenuity have given computer vision techniques the already, at times, superhuman capability of detecting, recognizing, and predicting objects, actions, and identities from pictures or video.

Vision and graphics meet at a common point of pain: the model of scene geometry and appearance. To yield photorealistic results, graphics algorithms require an essentially perfect forward model. Yet, the capability of computer vision algorithms to robustly and accurately reason about the 3D shape and appearance of the world, unfortunately, greatly lags behind the capabilities to detect, recognize, segment, and so on. A great discrepancy exists between the semantic and the pixel-perfect, accurate shape and appearance. Bridging this chasm is the goal of this research.

This entails solving fundamental, long-standing, unsolved problems in computer vision through the aid of computer graphics and machine learning}. First, we seek to  simultaneously capture accurate 3D shape and appearance of complex real-world scenes from photographic inputs; second, we seek to extend these capabilities still further to``zero-shot'' generative modelling. These extremely ambitious goals will be reached by marrying simulation (rendering) and machine learning, building on the PI's three existing strengths: (1) ability to capture photorealistic material appearance models using commodity devices; (2) his leading standing in physically-based image synthesis; and (3) his results on generative modeling of photorealistic images through deep convolutional neural networks.
Remarkable climate leaders achieving 2050 climate neutrality

REMARKABLE will support local leaders to deliver a step change in progress towards carbon neutrality by 2050 in 7 regions across Europe.  REMARKABLE will establish, by 2024, a network of 320 Current and Emerging Climate Leaders who, through their actions and inspiration, will drive their municipalities, public authorities, communities and regions to transform their approaches from ones focused on energy efficiency/renewables to ones focused on the strategic goal of climate neutrality by 2050.  

REMARKABLE will build new leadership capacity in 120 actors from 7 countries in Europe though a Climate Leadership Programme (CLP).  The CLP will be inspired by ethnographic research and will be designed with and for leaders across public authorities.  The REMARKABLE CLP will also facilitate the creation of 60 Roadmaps for public authorities aiming at Climate Neutrality by 2050.  These Roadmaps will allow our Climate Leaders to translate strategic aspirations and policy ambitions into concrete and disruptive far reaching measures stimulating €300m investment by 2030.  A Climate and Energy Check Tool will be developed and tested along with a Climate Neutrality Roadmap Guide.

The 7 Regional Energy Agencies involved in REMARKABLE will develop 14 new services to expand their roles as change agents in the Clean Energy Transition and Climate Neutrality challenges.  Climate Neutrality Training, Climate One Stop Shops, Financing Solutions are targeted as potential services.   

REMARKABLE will exploit its outcomes and results through the creation of an EU Climate Leaders Circle, reaching up to 320 members by 2024 including 30 from 7 Observer Regions/Countries. An innovative Climate Neutrality Challenge will be organised for Young Climate Leaders.  The REMARKABLE Circle  will create synergies with existing networks and initiatives e.g. COMO, ManagEnergy to support and enhance their impacts with the ambition of mobilising 10,000 stakeholders by 2030 (2,000 by 2024)
XCone: N-jettiness as an exclusive cone jet algorithm

We introduce a new jet algorithm called XCone, for eXclusive Cone, which is based on minimizing the event shape N-jettiness. Because N-jettiness partitions every event into N jet regions and a beam region, XCone is an exclusive jet algorithm that always returns a fixed number of jets. We use a new "conical geometric" measure for which well-separated jets are bounded by circles of radius R in the rapidity-azimuth plane, while overlapping jet regions automatically form nearest-neighbor "clover jets". This avoids the split/merge criteria needed in inclusive cone algorithms. A key feature of XCone is that it smoothly transitions between the resolved regime where the N signal jets of interest are well separated and the boosted regime where they overlap. The returned value of N-jettiness also provides a quality criterion of how N-jet-like the event looks. We also discuss the N-jettiness factorization theorems that occur for various jet measures, which can be used to compute the associated exclusive N-jet cross sections. In a companion paper, the physics potential of XCone is demonstrated using the examples of dijet resonances, Higgs decays to bottom quarks, and all-hadronic top pairs.
Track-to-track association in the presence of sensor bias and the relative bias estimation

Track to track association problem is crucial for multisensor data fusion, and become complicated in the presence of sensor bias, random errors, false tracks and missed tracks. In this paper, we apply the optimal Bayes joint decision and estimation(JDE) which was proposed in [12] to the track-to-track association in the presence of sensor bias and develop a simplified JDE. The optimal Bayes JDE accounts to the possible association error when estimates the relative sensor bias and takes the estimate error into consideration when chooses the track-to-track association by the association cost having the estimation error. Hence it can enhance the accuracy of track-to-track association and reduce the relative bias estimate error. For computational simplicity, in this paper we proposed another JDE algorithm which can reduce the computation and only is slightly worse than the optimal Bayes JDE. The simulations compare the performance of the JDE association, the simplifed JDE developed in this paper, the method proposed in [8], and verify the feasibility and effectiveness of methods.
The natural optimality in heat and fluid flow phenomena

Motivated by the fact that all natural flow processes are similar and governed by common differential equations and that the natural phenomena occur in most sustainable way, the mathematical expression for the common optimum feature of these processes is investigated. Consequently, a new thermodynamic property named 'temheat' is introduced. Based on the second law of thermodynamics and the newly defined property temheat, it is found that a thermodynamic quantity, the rate of total temheat destruction, is minimised for all natural steady flow processes. The temheat destruction minimisation principle is useful in describing the natural flow phenomena and in numerical solution of flow related problems.
MOORING SYSTEM FOR A LOADING STATION

Mooring system for a loading station, i.e. a mooring system for a loading station which can be located in a safe distance from a production platform/vessel, where a conventional tanker with dynamic positioning and bow loading equipment can be connected for loading/unloading from a stationary floating platform/vessel, where a loading station (4) is connected to a flexible conduit (3) anchored to the seabed in a point (9) by at least one line (13) to at least one anchor (5) and at least one weight (6) resting on the seabed.
Spatial Planning and Health Systems: enhancing territorial governance in Alpine Space

An effective territorial governance can positively address an inclusive growth under different dimensions. Those targeted by the SPHERA cluster project are health and spatial planning as areas where interventions such as accessibility to services of general interest, demographic change, social cohesion and quality of life are driver towards the progress of an inclusive growth. The current Alpine Space programming period offers samples of implemented projects which can provide achievements of valuable interest in this thematic field. Learning by those results, in terms of capitalisation, the opportunity is to identify the transnational needs and the appropriate institutional framework where new synergies can be developed in view of the next generation of projects under the Alpine Space Programme 2014 +.The SPHERA project is aimed at exploring and analysing this landscape contributing to orient and influence the future of the Cohesion Policy from its specific domains perspective.
Intraspinal stretch receptor neurons mediate different motor responses along the body in lamprey

In lampreys, stretch receptor neurons (SRNs) are located at the margins of the spinal cord and activated by longitudinal stretch in that area caused by body bending. The aim of this study was a comprehensive analysis of motor responses to bending of the lamprey body in different planes and at different rostrocaudal levels. For this purpose, in vitro preparation of the spinal cord isolated together with notochord was used, and responses to bending were recorded from SRNs, as well as from motoneurons innervating the dorsal (dMNs) and ventral (vMNs) parts of a myotome. It was found that SRNs were activated on the convex (stretched) side of the preparation during bending both in the yaw and in the pitch plane. By contrast, responses of motoneurons depended on the site and plane of bending. In the yaw plane, concave responses to bending of rostral segments and convex responses to bending of mid-body segments prevailed. In the pitch plane, convex responses in dMNs and concave responses in vMNs to bending in mid-body segments prevailed. These spinal reflexes could contribute to feedback regulation of locomotor body undulations and to the control of body configuration during locomotion. After a longitudinal split of the spinal cord, only convex responses in motoneurons were present, suggesting an important role of contralateral networks in determining the type of motor response. Stimulation of the brainstem changed the type of motor response to bending, suggesting that these spinal reflexes can be modified by supraspinal signals in accordance with different motor behaviors.