SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
On-Surface design of lanthanide coordinated networks featuring single atom magnetism

The capacity of investigate and tailor the materials properties down to nanoscale created new perspectives for the development of functional devices using single atoms or molecules. Concerning magnetism, the stabilization of magnetic remanence in single atoms represents the ultimate limit on the size reduction of storage devices. After recent advances in this field, lanthanides have emerged as promising candidates for atomic magnets. However, the high diffusion of single standing atoms hinder the development of real-world applications. The next step to further advance towards practical devices is the coordination of these atoms in networks preserving their outstanding magnetic properties. This project will explore the high versatility of molecular linkers to coordinate lanthanides atoms. The combination of state-of-art surface science techniques as scanning tunneling microscopy (STM), non-contact atomic force microscopy, X-ray absorption spectroscopy (XAS) and X-ray magnetic circular dichroism (XMCD) allows a complete investigation of their fundamental properties. It will be possible to unveil the structural, electronic, chemical and magnetic properties of lanthanides networks prepared on different surfaces. The 4f-Mag project aims to find out suitable combinations of surface and molecular linkers to design regular networks of lanthanides maintaining their functionality as single atom magnets and enhancing their remarkable magnetic properties.
Illicit markets, unobserved competitors, and illegal behavior

Many markets are characterized by illicit or illegal behavior by agents. To the extent that the empirical economic framework does not incorporate these unobserved actions or control for them in estimation, the resulting models are likely to be mis-specified. Naturally, if the models do not contain all elements relevant for decision making, then predictions based on the estimates will be misleading, which could result in incorrect policy recommendations. This project directly addresses three situations in which unobserved behavior plays a crucial role. The first concerns markets where consumers engage in illicit behavior. These markets are prevalent in society as they constitute the market for illicit drugs, which is estimated at more than $300 billion per year (UN, 2012). The second concerns markets where firms make strategic decisions in the presence of an unidentified competitor - a counterfeiter, where the global value of counterfeit products rivals that of illegal drugs (OECD, 2007). The third concerns situations where firms use legal tools for illegal purposes, for which the impact is challenging to quantify and one goal of this project. In each area, the project (i) develops state-of-the-art empirical models that incorporate illicit behaviors, (ii) proposes novel estimation methods that can be used to detect illegal behavior, and (iii) provides evidence that the proposed methodology is feasible and the data are sufficient to estimate the models. Incorporating and estimating unobserved behavior in a variety of settings is an ambitious undertaking. However, it is vital as a key objective of the proposal is to provide policy makers with tangible tools that accurately reflect the unobserved nature of these markets. Given the global significance of illicit markets, the novel concepts proposed, and the focus on policy, this project has the potential to make a sizable impact, both in and beyond academia, representing an ambitious but worthwhile pursuit.
Origin and evolution of overpressure in the Lower Jurassic succession in the Kuqa Depression, western China

Abstract The Kuqa Depression in the Tarim Basin is a prolific tight-sand gas-producing province in China. Overpressure is common in the Lower Jurassic with pressure gradient up to 1.18. Thus, it is of great importance to study the origin and evolution history of overpressure for deeply understanding hydrocarbon migration and accumulation history. To identify and distinguish abnormal pressure with various mechanisms, this paper constructed numerical models to quantify the timing, duration and magnitude of overpressure development. 2D basin modeling techniques was performed to identify the development of excess pore pressure derived from gas generation through time. The excess pore pressure generated by tectonic compression was determined with numerical model. The results show that the origin and evolution of overpressure in the Lower Jurassic can be attributed mainly to gas generation and tectonic compression. Comparison between excess pressure derived from tectonic compression and gas generation indicates that tectonic compression was the predominant source for overpressure before gas generation, whilegas generation was regarded as the main source from 5Ma to 3Ma when gas generation reached its peak. The overpressure evolution trend suggests that under the general control of the gas generation and tectonic compression, the magnitude of overpressure varied through time, increasing dramatically for 5Ma to 3Ma, with the maximum magnitude of 79.56 MPa.
APPARATUS AND METHOD FOR EFFECTING PLASMA-BASED REACTIONS

There is provided a reactor system comprising a plasma generator and a reaction vessel. The plasma generator is configured for effecting a plasma discharge into a reaction zone to produce a plasma plume. The reaction vessel defines the reaction zone. The reaction vessel includes a reactant flow inlet configured for flowing and discharging gaseous reactant flow into the reaction zone, and a stabilizing gaseous flow inlet configured for introducing and effecting vortical flow of a stabilizing gaseous fluid into the reaction vessel. The vortical flow of the stabilizing gaseous fluid effects a spatial disposition of the plasma plume such that at least a fraction of the gaseous reactant flow intersects the plasma plume.
Insertional mutagenesis to identify molecular mechanisms of breast cancer dormancy and metastasis

Metastatic disease is the leading cause of cancer deaths, yet our understanding of this process and therapeutic choices are extremely limited. The recent explosive development of high-throughput technologies in genomics and proteomics has begun to unravel the complexity of cancer biology, highlighting the need to approach the study of cancer from a systems biology perspective. Results of recent studies have underscored the crucial roles of the tumor microenvironment as well as cell-intrinsic processes, such as autophagy, in cancer cell survival and dissemination. These surviving cells may lay dormant or be triggered to proliferate and establish active metastatic lesions after a variable period of time. I propose an innovative project in which I will exploit the unique opportunity to dissect molecular mechanisms controlling breast cancer dormancy and metastasis employing cutting-edge technologies in the field of functional genomics. This technology includes several state-of-the-art technical advances in the fields of in vitro and in vivo modeling of tumor cell dormancy, functional forward genomics using the PiggyBac transposon-based system for insertional mutagenesis screens, next generation sequencing, advanced bioinformatics and in vitro and in vivo functional validation studies. This project will identify critical molecular processes involved in breast cancer progression and potential therapeutic targets against breast cancers at high risk for recurrence and poor prognosis. Thus, it is expected that this project will provide future translational research avenues, enhance my position to be at the forefront of cancer research and provide the opportunity to establish myself as an independent researcher following the completion of this fellowship.
Proglacial and subglacial aquifers: their evolution under climate change and the potential impacts in terms of resources and natural hazards, through the case of eastern iceland

The research addressing glacier evolution under climate change is well developed, looking not only at changes in mass balance, but also at the associated effects on basal and downstream hydrology. However, aftermath changes to the groundwater component are rarely considered, even though evolving groundwater recharge, discharge and storage will be required to forecast the evolution of water resources and of water-related hazards under climate change. This knowledge gap is the object of IceAq.
IceAq will focus on 4 outlet glaciers of the Vatnajökull, the main icelandic icecap, which retreat under climate change is already documented. In addition to gathering of existing data (from geology to climatology), new data will be acquired on the field, mainly to characterise groundwater. Based on those data-sets, local comprehensive numerical models will be build, and then be integrated into a regional one, which will allow more realistic hydrogeological simulations, and the input of future climate scenarios.
The scientific perspective is threefold: achievement of an operational understanding and quantification of unknown or poorly known aquifer systems in glacial context, prediction of their hydrodynamic response to climate change, and exploration of the potential role of glacier-aquifer interactions in the mechanism of deep recharge and formation of offshore fresh groundwater stocks in littoral zones.
Outputs of the project will provide first answers to those interrogations, and be disseminated in the scientific community but also to the general audience through a participatory approach. The developed methodology will be applied in the future to other glaciated systems in different contexts.
Dr Vincent and the glaciology group of IES, UoI, have very complementary expertise, essential for this project. The planned research and training is expected to allow Dr Vincent to reach her career objectives and will offer her host new opportunities for interdisciplinary collaborations
Modelling the performance of isoniazid preventive therapy for reducing tuberculosis in HIV endemic settings: the effects of network structure

Individuals living with HIV experience a much higher risk of progression from latent M. tuberculosis infection to active tuberculosis (TB) disease relative to individuals with intact immune systems. A several-month daily course of a single drug during latent infection (i.e. isoniazid preventive therapy (IPT)) has proved in clinical trials to substantially reduce an HIV-infected individual's risk of TB disease. As a result of these findings and ongoing studies, the World Health Organization has produced strong guidelines for implementing IPT on a community-wide scale for individuals with HIV at risk of TB disease. To date, there has been limited use of IPT at a community-wide level. In this paper, we present a new co-network model for HIV and TB co-epidemics to address questions about how the population-level impact of community-wide IPT may differ from the individual-level impact of IPT offered to selected individuals. In particular, we examine how the effect of clustering of contacts within high-TB incidence communities may affect the rates of re-infection with TB and how this clustering modifies the expected population-level effects of IPT. We find that populations with clustering of respiratory contacts experience aggregation of TB cases and high numbers of re-infection events. While, encouragingly, the overall population-level effects of community-wide IPT appear to be sustained regardless of network structure, we find that in populations where these contacts are highly clustered, there is dramatic heterogeneity in the impact of IPT: in some sub-regions of these populations, TB is nearly eliminated, while in others, repeated re-infection almost completely undermines the effect of IPT. Our findings imply that as IPT programmes are brought to scale, we should expect local heterogeneity of effectiveness as a result of the complex patterns of disease transmission within communities.
La possibilità di offrire scelte alimentari personalizzate in grandi condizioni di produzione e vendita al dettaglio della cucina

L'obiettivo del progetto è quello di esplorare come le soluzioni IT innovative e le analisi di laboratorio possano essere combinate e le conseguenti raccomandazioni dietetiche personalizzate in condizioni di vendita al dettaglio che supportano le scelte sane del cliente.
EFEKTIVITAS TERAPI HUMOR DENGAN MEDIA FILM KOMEDI UNTUK MENURUNKAN TINGKAT KECEMASAN PADA LANSIA

The aging process was a natural process in human that the changing occured or function decline of biological, psychological, social, cultural and spiritual. One of the mental health problems that often arised in the elderly was anxiety. The managing of anxiety in the elderly could be done by humor therapy. Humor, basically contained a charge of positive emotions, allowing people to think more broadly, flexibly and creatively to solve the problems. Comedy as one of the stimulus could cause a sense of humor. This study aimed to determine the effectiveness of humor therapy by watching comedy movie on the decreasing of anxiety level in the elderly. This quasi-experimental study was conducted at Panti Tresna Werdha Hargo Dedali Surabaya, by using non-randomized control group pretest posttest design. Samples that met the inclusion criteria were 18 that were divided to two groups based on the block. Ten persons in the east block were treated by watching comedy movie and eight in western block were used as control group. Both groups performed pretest and posttest at the same time to determine the level of anxiety, using the Hamilton Rating Scale for Anxiety (HRS-A). Wilcoxon Signed Ranks Test results z= -2.460 and p= 0.014 that there was different of anxiety level before and after humor therapy in the treated group. The control group results, z= -1.000 and p= 0.317 show there was no different in anxiety levels. Wilcoxon Mann Whitney Test results z= -2.379 and p= 0.017 that there was different in anxiety level between the treated group and control group. Effectiveness of humor therapy by watching comedy movie to decrease anxiety level was 34.7%. The conclusion of the study suggests humor therapy by watching comedy movie can decrease the anxiety level in the elderly at Panti Tresna Werdha Hargo Dedali Surabaya.
An a posteriori-based, fully adaptive algorithm with adaptive stopping criteria and mesh refinement for thermal multiphase compositional flows in porous media

In this work we develop an a posteriori-based adaptive algorithm for thermal multiphase compositional flows in porous media. The key ingredients are fully computable a posteriori error estimates, bounding the dual norm of the residual supplemented by a nonconformity evaluation term. The theory hinges on assumptions that allow the application to variety of discretization methods. The estimators are then elaborated to estimate separately the space, time, linearization, and algebraic errors. This additional information is used to formulate a fully adaptive algorithm including adaptive stopping criteria for iterative solvers as well as refinement/derefinement criteria for both the time step and the mesh size. Numerical validation is provided on an industrial case study in the context of oil-recovery based on the steam-assisted gravity drainage procedure. Implicit cell-centered finite volumes with phase-upwind and two-point discretization of the diffusive fluxes are considered. It is shown that significant gains in computational cost can be achieved in this example, without hindering the quality of the results as measured by quantities of engineering interest.
CPU/GPU computing for a multi-block structured grid based high-order flow solver on a large heterogeneous system

The high-order schemes have attracted more and more attention in computational fluid dynamics (CFD) simulations. As a kind of high-order schemes, weighted compact nonlinear schemes (WCNSs) have been widely applied in large eddy simulations, direct numerical simulations etc. However, due to the computational complexity, WCNSs require high-performance platforms. In recent years, the highly parallel graphics processing unit (GPU) is rapidly gaining maturity as a powerful engine for high performance computer. In this paper, we present a high-order double-precision solver of the three-dimensional, compressible viscous flow using multi-block structured grids on GPU clusters. The solver utilizes the high-order WCNS scheme for space discretization and Jacobi iteration method for time discretization. In order to utilize the computational capability of CPU and GPU for the solver, we present a workload balancing model for distributing workload among CPUs and GPUs. And we design two strategies to overlap computations with communications. The performance analyses show that the single-GPU solver achieves about 8× speed-ups relative to a serial computation on a CPU core. The performance results validate the workload distribution scheme. The strong and weak scaling analyses show that GPU clusters offer a significant advantage in performance.
LITHIUM ION CONDUCTING MATERIAL AND LITHIUM BATTERY

A lithium ion conducting material includes a sulfide-based solid electrolyte material that contains Li, an element that belongs to group 13 to group 15 and S, and that contains an MSx unit, wherein M is an element that belongs to group 13 to group 15, S is a sulfur element, and x is the maximum number of S atoms that can be bonded with M, and an inhibitor that is in contact with the sulfide-based solid electrolyte material and that contains a metal element having an ionization tendency lower than that of hydrogen.
Ionic liquids as surfactants in micellar liquid chromatography

This paper is devoted to application of ionic liquids as surfactants in LC of organic compounds, derivatives of 1,4-thiosemicarbazides. According to HPLC requirements the most advantageous conditions such as transparency for ultraviolet light, low CMC, additional inorganic salt additives, and appropriate organic solvent were established. The CMC was determined using conductivity measurements. Suitability of two different stationary phases: RP-C18 and cyanopropyl bonded phase was examined under micellar conditions. Chosen ionic liquid surfactant was compared to common traditional amphiphilic reagent - SDS. Elaborated on chromatographic micellar conditions were tested as a pilot technique for prediction of distribution coefficients of organic analytes in ionic liquid-based aqueous two-phase system.
Fully disintegrated private networks for 5g verticals

FUDGE-5G aims to create a new generation of world leading 5G core network technology companies for private 5G networks based in Europe. FUDGE-5G will make a leap forward in realizing the notion of cloud-native 5G private networks by developing a further enhanced Service-Based Architecture (eSBA) for both control plane and user plane with “decomposed” players of the ecosystem divided into: New Radio (NR) access network infrastructure provider, eSBA platform provider, mobile 5G Core (5GC) provider, vertical application orchestration provider and vertical service provider. The forward-looking FUDGE-5G architecture will also feature “all-Ethernet” 5GLAN (Local Area Network), 5G-TSN (Time-Sensitive Networking), 5G-Multicast and intelligent vertical application orchestration features. The proposed framework enables highly customized cloud-native deployment of private 5G networks. FUDGE-5G will accelerate the (inevitable) shift to a fully software-based 5G core network by offering a disintegrated environment where components, both in control and user plane, can be deployed anywhere as micro-services (i.e., edge, on premises and cloud), being agnostic to the underlying infrastructure. This softwarization exposing 5G NR HW to third parties will enable the usage of off-the-shelf commodity HW to deliver additional cost savings, faster deployments and ultimately greater adoption for private networks. The consortium has been carefully built around several innovative high-tech small and medium European vendors for virtualized 5GC and service orchestration solutions and applications. They will be able to integrate, test and validate their 5G technical solutions over the premium end-to-end 5G NR facility provided by a major European MNO in several innovative use cases for private networks under real-life operational conditions with prominent vertical stakeholders. State-of-the-art eSBA capabilities will be offered by large vendors.
Nonlinear astrophysical dynamos: a novel data-driven approach for interscale dynamics

Magnetic fields are ubiquitous in the Universe, and are thought to play a key role in evolution of stars, planets, accretion discs and black holes. Although it is generally accepted that these fields are created by the motions of conductive fluids – hydromagnetic dynamos, there is no ab initio predictive theory for their origin and evolution. Because of nonlinear coupling between magnetic field and fluid flow, and also due to extreme parameters of astrophysical objects, dynamos arise from interactions of the flow and field on extremely vast range of space and time scales. This limits the utility of computational approaches.
The DynMode project seeks to elucidate the nature of interscale nonlinear interactions using the novel data-based approach from dynamical systems theory, and to create nonlinear reduced-order models of astrophysical dynamos that represent dynamics on large, intermediate and small scales. This is crucial for our understanding of the operation of astrophysical dynamos. During this Fellowship, we will decompose the data of dynamo flows into dynamically relevant blocks (modes), identify principal nonlinear dynamics and energy exchange among those blocks, and create a reduced-order dynamo model by projecting the flow onto them. By analyzing data sets from self-sustained and convective-driven dynamos in different geometries, we will also address the question of intrinsic dynamo features as compared to influence of secondary physical effects and flow geometry. This approach, applied for the first time in dynamo research, will explain interactions between small-scale and large-scale dynamos and their nonlinear saturation, as well as physics of weak and strong geodynamos. 
The project, bringing together physical modelling of the dynamos, study of the flow and magnetic field structures, and innovative data-driven strategy, has a potential to significantly advance the current understanding of dynamos, and impact wider research community in fluid dynamics