SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
A novel optical ammonia sensor based on reflectance measurements for highly polluted and coloured water

Abstract One of the major problems in the analysis of ammonia (NH 3 ) using spectrophotometric method is highly coloured water sample. A reflectometric NH 3 sensor based on a facile single-step immobilisation of cobalt(II) (Co 2+ ) ion onto high capacity Dowex HCR-W2 microspheres has been developed to enable the direct NH 3 determination in highly coloured water samples. The combination of Co 2+ ion-immobilised microspheres via cation exchange chemical reaction and reflectometric technique has improved the optode sensing performance with respect to linear response range and response time. Immobilised Co 2+ ion, when complexed with NH 3 gave a blue colouration of hexamminecobaltate(II) ([Co(NH 3 ) 6 ] 2+ ) complex at pH 13. The NH 3 sensor reached maximum colour intensity in ∼6 min at ambient conditions. The linear calibration curve was 60–290 mM NH 3 with a detection limit of 16 mM NH 3 , which is suitable for direct determination of NH 3 -enriched leachate water samples. A good reproducibility between 5.4 and 5.9% relative standard deviation (RSD) was obtained with the probe and the sensing performance can be regenerated using buffer pH 1. The effect of potential interference ions has been investigated during the quantification of NH 3 in heavily polluted sewage water. The results obtained were in good agreement with those produced by acidimetric reference method.
HYBRID SMARTWATCH

A hybrid smartwatch includes a digital display comprising an opening that extends from a bottom portion of the digital display to a top portion of the digital display, and one or more mechanical hands. Each mechanical hand is individually controlled by a motor that is positioned below the digital display, and each mechanical hand extends through the opening and is positioned between the digital display and a touch- sensitive screen. Each mechanical hand is rotatable about the digital display. The hybrid smartwatch includes a microcontroller and a computer-readable storage medium having one or more programming instructions that, when executed, cause the microcontroller to not cause information to be displayed on a portion of the digital display where the opening is located.
Large ice particles associated with small ice water content observed by AIM CIPS imagery of polar mesospheric clouds: Evidence for microphysical coupling with small-scale dynamics

Abstract Observations by the Cloud Imaging and Particle Size (CIPS) instrument on the Aeronomy of Ice in the Mesosphere (AIM) satellite have demonstrated the existence of Polar Mesospheric Cloud (PMC) regions populated by particles whose mean sizes range between 60 and 100 nm (radii of equivalent volume spheres). It is known from numerous satellite experiments that typical mean PMC particle sizes are of the order of 40–50 nm. Determination of particle size by CIPS is accomplished by measuring the scattering of solar radiation at various scattering angles at a spatial resolution of 25 km 2 . In this size range we find a robust anti-correlation between mean particle size and albedo. These very-large particle-low-ice (VLP-LI) clouds occur over spatially coherent areas. The surprising result is that VLP-LI are frequently present either in the troughs of gravity wave-like features or at the edges of PMC voids. We postulate that an association with gravity waves exists in the low-temperature summertime mesopause region, and illustrate the mechanism by a gravity wave simulation through use of the 2D Community Aerosol and Radiation Model for Atmospheres (CARMA). The model results are consistent with a VLP-LI population in the cold troughs of monochromatic gravity waves. In addition, we find such events in Whole Earth Community Climate Model/CARMA simulations, suggesting the possible importance of sporadic downward winds in heating the upper cloud regions. This newly-discovered association enhances our understanding of the interaction of ice microphysics with dynamical processes in the upper mesosphere.
Correlated molecular quantum gases in optical lattices

In a quantum engineering approach we aim to create strongly correlated molecular quantum gases for polar molecules confined in an optical lattice to two-dimensional geometry with full quantum control of all de-grees of freedom with single molecule control and detection. The goal is to synthesize a high-fidelity molec-ular quantum simulator with thousands of particles and to carry out experiments on phases and dynamics of strongly-correlated quantum matter in view of strong long-range dipolar interactions. Our choice of mole-cule is the KCs dimer, which can either be a boson or a fermion, allowing us to prepare and probe bosonic as well as fermionic dipolar quantum matter in two dimensions. Techniques such as quantum-gas microscopy, perfectly suited for two-dimensional systems, will be applied to the molecular samples for local control and local readout.
The low-entropy molecular samples are created out of quantum degenerate atomic samples by well-established coherent atom paring and coherent optical ground-state transfer techniques. Crucial to this pro-posal is the full control over the molecular sample. To achieve near-unity lattice filling fraction for the mo-lecular samples, we create two-dimensional samples of K-Cs atom pairs as precursors to molecule formation by merging parallel planar systems of K and Cs, which are either in a band-insulating state (for the fermions) or in Mott-insulating state (for the bosons), along the out-of-plane direction. 
The polar molecular samples are used to perform quantum simulations on ground-state properties and dy-namical properties of quantum many-body spin systems. We aim to create novel forms of superfluidity, to investigate into novel quantum many-body phases in the lattice that arise from the long-range molecular dipole-dipole interaction, and to probe quantum magnetism and its dynamics such as spin transport with single-spin control and readout. In addition, disorder can be engineered to mimic real physical situations.
Leadership through fellowship: distributed leadership in a professional recognition scheme for university educators

ABSTRACTResearchers in the field of teaching and learning in higher education have identified concerns with top-down leadership models. Distributed (or shared) leadership approaches may provide more successful engagement with institutional change agendas, and provide more options to reward and recognise staff leading teaching and learning initiatives. Through empirical research, Jones and colleagues have conceptualised the key criteria, dimensions and values that constitute effective distributed leadership in the Action Self-Enabling Reflective Tool (ASERT), together with benchmarks through which action taken to enable distributed leadership can be evaluated. Opportunities for distributed leadership were incorporated into the design of an Australian university’s professional recognition scheme for university educators. Through analysis of this case study in the context of the ASERT attributes and the benchmarks for distributed leadership, this paper explores the potential for systematic professional recog...
Nonlinear predictive latent process models for integrating spatio-temporal exposure data from multiple sources

Spatio-temporal prediction of levels of an environmental exposure is an important problem in environmental epidemiology. Our work is motivated by multiple studies on the spatio-temporal distribution of mobile source, or traffic related, particles in the greater Boston area. When multiple sources of exposure information are available, a joint model that pools information across sources maximizes data coverage over both space and time, thereby reducing the prediction error. We consider a Bayesian hierarchical framework in which a joint model consists of a set of submodels, one for each data source, and a model for the latent process that serves to relate the submodels to one another. If a submodel depends on the latent process nonlinearly, inference using standard MCMC techniques can be computationally prohibitive. The implications are particularly severe when the data for each submodel are aggregated at different temporal scales. To make such problems tractable, we linearize the nonlinear components with respect to the latent process and induce sparsity in the covariance matrix of the latent process using compactly supported covariance functions. We propose an efficient MCMC scheme that takes advantage of these approximations. We use our model to address a temporal change of support problem whereby interest focuses on pooling daily and multiday black carbon readings in order to maximize the spatial coverage of the study region.
Effect of Cover Plate Transmittance on Solar Still Performance

The year round performance of solar still mainly depends not only on the variations of solar radiation incidence on the glass covers and also on the solar energy transmittance variations of the covers. In this work, a single basin double slope solar still has been theoretically modeled. The year round variations in radiation energy incidence, transmitted and lost at the covers and the total production of the still for the local place, Kovilpatti (9°11′N, 77°52′E), India, have been studied using the model. During January, February, November, and December, the north cover experienced around 25% of energy loss. But, the loss at south cover is only 15–20% during different months of the year. The still production is minimum (2.7 L/m2/day) during June and maximum (6.5 L/m2/day) during March. The yearly average production of the still is 4.75 L/m2/day. The payback period of the still is one and half years. The actual production of the fabricated still was close with the estimated values.
Forcing in contemporary philosophy of set theory

Forcing is one of the defining techniques of modern set theory. As of late its extensive and deep mathematical results and related foundational questions gained wider attention in the international debate in the philosophy of mathematics. This can be witnessed by the recent development of different research programs in the philosophy of set theory like the Multiverse or Hyperuniverse Program and the formation of new platforms for discussion like the newly founded Set Theoretic Pluralism network.  
This project aims to provide a philosophical and mathematical contribution to the ongoing debate by delivering a systematic study of forcing and its philosophical implications. It starts from the new observation that not only the results of forcing but also the way these results are obtained is of vital importance for the philosophical implications of the mathematical work. Our claim is that the method of forcing is not philosophically neutral; i.e. the different ways forcing is used by set theorists is one of the differentiating factors responsible for the philosophical conclusions drawn in the recent research programs. 
In the first part of the project we will systematically examine the forcing technique, its mathematical uses and the influence forcing has on philosophical debates such as the multiverse versus universe view and ultimately the question of the search for new axioms. We will investigate how the different uses of forcing inform (or even determine) the philosophical upshot of the set-theoretical programs under consideration. Our aim is to shed new light on the ongoing debate. 
The second part is dedicated to introducing new types of forcing (class-forcing, forcing over non-ZFC models) into the current philosophical debate in order to strengthen our case that the uses of forcing inform philosophical conclusions; further, these new types of forcing are put to use to counter and limit crucial generality claims on which some positions in the current debate rest.
SOCIEDADE DE RESPONSABILIDADE LIMITADA AUTOMÁTICA SIMPLIFICADA

A EMPRESA FOI CONSTITUÍDA EM 21/04/2015 TEM COMO OBJETO O COMÉRCIO RETALHISTA DE VEÍCULOS AUTOMÓVEIS E CAMIÕES NOVOS E USADOS, ALÉM DE EXERCER TAMBÉM A ATIVIDADE DE OFICINA MECÂNICA. A EMPRESA ESTÁ ORGANIZADA COM UMA SEDE DESTINADA À VENDA EM CORSO GARIBALDI 86 EM IMPERIA, UMA UNIDADE LOCAL DESTINADA AO ARMAZENAMENTO COM GRANDE PIAZZALE NA VIA CAPRILE 2 E A OFICINA MECÂNICA NA VIA LITTARDI 53. ATUALMENTE OCUPA ALÉM DO GESTOR MRS. CATERINA RAINERI UM MECÂNICO E UM VENDEDOR.
The first equipment to enable real-time liquid analysis for mass spectrometers

Spectro Inlets is a 7 member young company based in Denmark that has developed a microchip (patented technology) to measure and analyze, in real time, the content of gas molecules dissolved in liquid media. Gas molecules are of utmost importance when generated in electrochemical processes in batteries (chemical degradation resulting in loss of charge capacity or catastrophic failure) and in industrial biochemical processes in biogas production. A deep insight of the chemical reactions allowed by the instrument results in optimization of processes or product design. Spectro Inlets technology consists of a membrane chip that allows direct and ultrafast sampling (in milliseconds) from liquid media by means of a microgeometry. When coupled to a mass spectrometer, it results in a new and high-performance analytical equipment allowing a direct, ultrafast, non-discriminating and extremely accurate (sub ppb) identification and quantification of gasses generated in biogas reactors, in batteries, fuel cells, and wastewater facilities. We have agreements to commission our technology with E.ON, Stanford University and Fredericia Wastewater and gained support from competitors such as Bruker and Hiden Analytical. 
No other analytical platform features performances that allows for a boost in R&D and production monitoring in three key industrial European markets: (1) in batteries (35M€, 20% CAGR), (2) in biogas (210M€, 15% CAGR), and (3) in waste water treatment (275M€, 3% CAGR). Beyond these three initial target markets, the technology can be further applied in chemical, biochemistry and pharmaceutical industries, that we aim to target. By the end of the forecasted period (2023) and even considering the difficulty to penetrate a market dominated by few (<15) companies, we expect to have a cumulative EBITDA of 7,3M€, which translates into a ROI of 3 after 3 years of commercial activities. Our expansion will also increase (x3) our current employee count with 13 new members by 2023.
The Effects of Risks on the Stability of Tunisian Conventional Banks

This paper examines the impact of credit risk, liquidity risk, and operational risk on Tunisian bank stability. These major risks continue to threaten Tunisian banks which are still developing traditional activities, despite the exhaustion of the main factors that have long sustained banking intermediation. To do this, we used data from all conventional banks operational during the period 2005-2015 and we used panel data analysis. Empirical results show that the stability of banks is closely linked to factors specific to them. It depends positively and significantly on their profitability and their liquidity risk, and negatively and significantly on their size and the interaction of both credit and liquidity risks. As for the credit risk, it has no significant impact on the stability of banks when the latter is proxied by Z-score (ROE), but it becomes detrimental in the case of Z-score (ROE). These results could be of great importance for bank managers to draw appropriate strategies in order to manage various risks facing their banks, to know how to enhance their profitability, to make adequate restructurings to enlarge their size and to rely on highly qualified managers and staff who know how to coordinate various actions and manage large institutions.
Data-Driven, low-rank, jet-noise modelling

This proposal addresses the aeronautical challenge associated with jet-noise modelling. The ultimate goal is to develop, and deliver to industry, a low-cost, semi-empirical modelling tool capable of predicting the noise radiated by a propulsive jet, in an installed configuration in take-off flight conditions. 

The work is based on the mining of existing high-quality experimental and numerical databases (some of which were produced in previous EU projects, ORINOCO and JERONIMO), the generation of new experimental and numerical databases, and the use of these to build a modelling tool that requires, as input, a small number of parameters typically available from standard industry tools: where the turbulent flow is concerned, Reynolds-Average-Navier-Stokes solvers; and, for sound generation, propagation and scattering from solid surfaces, Boundary-Element-Method based acoustic solvers. 

The work concentrates on canonical jet and jet-wing systems in static and flight conditions, in order that the key flow physics associated with the turbulent jet, and the interaction of this with the wing and flight stream, be clearly identified, understood and incorporated into a simplified model. Special attention is paid to ensuring that the models be robust and capable of correctly following changes in jet velocity, flight-stream velocity and jet-wing separation. Machine learning and adjoint-based sensitivity analysis will be used to achieve this robustness. 

A specific workpackage is dedicated to training industry-partner engineers to use the modelling tool. This bridge-to-industry initiative, to be elaborated at the industry partner’s acoustic research department, situates the project between TRLs 4 and 5.

The project will contribute to strengthening the competitiveness of the European industry by equipping the industry partner with a fast-return jet-noise modelling tool that will enhance their capacity to conceive low-noise aircraft architectures.
USE OF IL-33 ANTAGONISTS TO TREAT FIBROTIC DISEASE

Methods for treating fibrotic disease, such as idiopathic pulmonary fibrosis and scleroderma, with antagonists of IL-33 are disclosed.
A novel concept of QUADRISO particles. Part II: Utilization for excess reactivity control

In high temperature reactors, burnable absorbers are utilized to manage the excess reactivity at the early stage of the fuel cycle. In this paper QUADRISO particles are proposed to manage the initial excess reactivity of high temperature reactors. The QUADRISO concept synergistically couples the decrease of the burnable poison with the decrease of the fissile materials at the fuel particle level. This mechanism is set up by introducing a burnable poison layer around the fuel kernel in ordinary TRISO particles or by mixing the burnable poison with any of the TRISO coated layers. At the beginning of life, the initial excess reactivity is small because some neutrons are absorbed in the burnable poison and they are prevented from entering the fuel kernel. At the end of life, when the absorber is almost depleted, more neutrons stream into the fuel kernel of QUADRISO particles causing fission reactions. The mechanism has been applied to a prismatic high temperature reactor with europium or erbium burnable absorbers, showing a significant reduction in the initial excess reactivity of the core.
Single cell profiling of breast tumors and the residing immune cells leveraged by integration with multi-dimensional molecular data from thousands of tumors

Breast cancer is the most common type of cancer in Europe, responsible for the highest women cancer mortalities each year. Characterisation of breast tumours teased them apart to distinct subtypes and facilitated targeted treatments that improved survival rates significantly, yet some aggressive subtypes remain difficult to treat. New therapies that harness the patient own immune system to fight the tumour show remarkable success in several cancers but limited one in breast cancer. Single cell genomics is the cutting-edge method to profile tissues at the highest resolution. As a computational biologist experienced in this technique, I will use it to analyse breast tumours with their residing immune cells. I aim to dissect the dynamic processes that shape the clonal development of the tumour as it emerges from a healthy tissue, with an emphasis on the immune system response to the evolving tumour. Single cell genomics, being the main driving tool, will be leveraged by integration with vast data from thousands of deeply profiled tumour samples available in the Host lab. The project includes generation of a healthy breast single cell expression atlas; a computational method to infer somatic mutations clones from single cell genomics data; single cell profiling of breast tumours together with adjacent normal tissues; and lastly, integration of the results with data from the large tumours biobank that holds years of clinical history which may reveal new progression markers and improve risk stratification. This plan is unique by accounting for multiple aspects of the tumours, including normal to malignant transition, interplay of breast and immune cells, and tumour clonal dynamics. By tackling common cancer immune mechanisms, it may provide novel insights of relevance to all cancer types. Pursuing this grand project in a leading lab that covers all aspects of breast cancer research will increase my research versatility on my way to become an independent researcher.
Human health and migration in prehistory

Recent ancient DNA studies have discovered a basal form of Yersinia pestis, the causative agent of bubonic plague, in 5,000 year-old individuals from Eastern and Central Europe. Even though this strain is an early form that does likely not survive in fleas and might have been less transmissible, the timing intriguingly coincides with a period of substantial societal changes. The archaeological record of 3rd millennium BC Europe clearly demonstrates the demise of terminal Stone Age and the rise of Bronze Age societies across the continent. This turnover has so far been explained by factors such as climatic changes or the advent of new metal working technologies and associated trading networks, which led to a reorganization of past societies. However, contemporaneous genomic data from ancient Europeans have attested major genetic upheavals in Europe 5,000 years ago, with an introgression of 75% genetic ancestry from mobile groups from the eastern steppes appearing in Central Europe. This substantial contribution suggests that early outbreaks of infectious diseases, such as plague, are a vital alternative explanation for large-scale population replacements and thus an attractive hypothesis for investigation. With well-preserved ancient human samples from relevant time periods and key regions in Europe at our disposal, we have a unique and ideal test case to track evolutionary relationships between the human genome and pathogens through time. We will specifically target an extensive number of variants in human immune-related loci using state-of-the-art DNA capture assays alongside deep sequencing of microbial shotgun and pathogen data, which permits a direct characterization of human-pathogen co-evolution. This unique temporal framework will allow us to detect loci under selection in humans and pathogens, and explore the role of infectious diseases and human mobility in past societies via an innovative paleo-epidemiological database and explicit modeling approaches.