SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Efficient and low co2 footprint b2b turnkey led module with an innovative thermal solution

LED lighting is increasingly a part of our daily life, thanks to its proven advantage in energy saving and longer lifespan. Nevertheless thermal management of LED lighting fixtures remain an issue like other electronic devices (e.g. laptops, smart phones).
ECOLED is solving this problem thanks to its patented IF-T LED technology. The aluminium content of ECOLED is up to 75% lower compared to current LED modules. This leads to a smaller, embeddable, longer lasting and even more energy saving light source.
A first generation of ECOLED will appeal to clients to take advantage of size and the ease of a pre-assembled device. This is the market segment of indoor design lighting fixtures. 
The second generation ECOLED will play out the temperature management functionality creating a device that has a considerably longer lifespan. This advantage will have a disruptive effect for clients in the segment of residential, office, industrial and outdoor lighting, a €2,5 billion market in Europe alone.
Beside the abovementioned characteristics, ECOLED has two other important long term and sustainable advantages.
In the first place, lower aluminium content and energy saving lead to an unseen eco-friendliness. The ecological footprint of the ECOLED module will be half of the size of a conventional LED solution. 1 million ECOLED lighting sources save 4,7 million ton CO2e, only thanks to lower aluminium content. The reduction of GHG emissions is completely in line with the mission of the company behind the technology, SustainableLedLighting (SLL), to create sustainable ecological advantages thanks to technological improvements in the lighting business.
In the second place, SLL’s business strategy offering a turnkey solution through tailor made sourcing and assembly keeps a big part of the value chain in Europe where the lighting sector - mostly SMEs – gives employment to 150.000 Europeans.
A Social Network Analysis of Research Topics in Korean Nursing Science

This study was done to explore the knowledge structure of Korean Nursing Science.The main variables were key words from the research papers that were presented in the Journal of Korean Academy of Nursing and journals of the seven branches of the Korean Academy of Nursing. English titles and abstracts of the papers (n=5,936) published from 1995 through 2009 were included. Noun phrases were extracted from the corpora using an in-house program (BiKE Text Analyzer), and their co-occurrence networks were generated via a cosine similarity measure, and then the networks were analyzed and visualized using Pajek, a Social Network Analysis program.With the hub and authority measures, the most important research topics in Korean Nursing Science were identified. Newly emerging topics by three-year period units were observed as research trends.This study provides a systematic overview on the knowledge structure of Korean Nursing Science. The Social Network Analysis for this study will be useful for identifying the knowledge structure in Nursing Science.
Arthroscopic acetabular recession with chondrolabral preservation.

Cam and pincer lesions found in femoral acetabular impingement (FAI) serve as bony substrates for the development of labral tears and can lead to osteoarthritis. Prior acetabuloplasty techniques have described surgical detachment of the labrum at the chondrolabral junction to facilitate osteoplasty. Histologically, the healing at the chondrolabral junction may be limited and surgical labral detachment may compromise the vascular supply to the labrum. We present a technique of maintaining the chondrolabral junction during acetabuloplasty. The labrum/chondral complex is subperiosteally elevated off the acetabular rim and the acetabular shelf is contoured with fluoroscopic guidance. Intermittent traction is used to minimize total traction time. Vertical mattress stitches are used to repair the labrum. The main advantage of this technique is that it allows contouring of the underlying pincer deformity commonly found in FAI without compromising the contiguous transition zone between the articular surface of the acetabulum and labrum.
Angular X-ray Cross-Correlation Analysis (AXCCA): Basic Concepts and Recent Applications to Soft Matter and Nanomaterials

Angular x-ray cross-correlation analysis (AXCCA) is a technique which allows quantitative measurement of the angular anisotropy of x-ray diffraction patterns and provides insights into the orientational order in the system under investigation. This method is based on the evaluation of the angular cross-correlation function of the scattered intensity distribution on a two-dimensional (2D) detector and further averaging over many diffraction patterns for enhancement of the anisotropic signal. Over the last decade, AXCCA was successfully used to study the anisotropy in various soft matter systems, such as solutions of anisometric particles, liquid crystals, colloidal crystals, superlattices composed by nanoparticles, etc. This review provides an introduction to the technique and gives a survey of the recent experimental work in which AXCCA in combination with micro- or nanofocused x-ray microscopy was used to study the orientational order in various soft matter systems.
ENHANCED VIRUS-LIKE PARTICLES AND METHODS OF USE THEREOF FOR DELIVERY TO CELLS

Enhanced virus-like particles (eVLPs), comprising a membrane comprising a phospholipid bilayer with one or more virally-derived glycoproteins on the external side; and a cargo disposed in the core of the eVLP on the inside of the membrane, wherein the eVLP does not comprise an exogenous gag/pol protein, and methods of use thereof for delivery of the cargo to cells.
Paleo-Pacific subduction-accretion: Evidence from Geochemical and U-Pb zircon dating of the Nadanhada accretionary complex, NE China

The Nadanhada Terrane, located along the eastern margin of Eurasia, contains a typical accretionary complex related to paleo-Pacific plate subduction-accretion. The Yuejinshan Complex is the first stage accretion complex that consists of meta-clastic rocks and metamafic-ultramafic rocks, whereas the Raohe Complex forms the main parts of the terrane and consists of limestone, bedded chert, and mafic-ultramafic rocks embedded as olistolith blocks in a weakly sheared matrix of clastic meta-sedimentary rocks. Geochemical data indicate that the Yuejinshan metabasalts have normal mid-ocean ridge basalt (N-MORB) affinity, whereas the Raohe basaltic pillow lavas have an affinity to ocean island basalts (OIB). Sensitive high-resolution ion microprobe (SHRIMP) U-Pb zircon analyses of gabbro in the Raohe Complex yield a weighted mean 206Pb/238U zircon age of 216 ± 5 Ma, whereas two samples of granite intruded into the complex yield weighted mean 206Pb/238U zircon ages of 128 ± 2 and 129 ± 2 Ma. Laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS) U-Pb zircon analyses of basaltic pillow lava in the Raohe Complex define a weighted mean age of 167 ± 1 Ma. Two sandstone samples in the Raohe Complex record younger concordant zircon weighted mean ages of 167 ± 17 and 137 ± 3 Ma. These new data support the view that accretion of the Raohe Complex was between 170 and 137 Ma, and that final emplacement of the Raohe Complex took place at 137–130 Ma. The accretion of the Yuejinshan Complex probably occurred between the 210 and 180 Ma, suggesting that paleo-Pacific plate subduction was initiated in the Late Triassic to Early Jurassic.
Exploiting rank deficiency and transform domain sparsity for MR image reconstruction

The reconstruction of magnetic resonance (MR) images from the partial samples of their k-space data using compressed sensing (CS)-based methods has generated a lot of interest in recent years. To reconstruct the MR images, these techniques exploit the sparsity of the image in a transform domain (wavelets, total variation, etc.). In a recent work, it has been shown that it is also possible to reconstruct MR images by exploiting their rank deficiency. In this work, it will be shown that, instead of exploiting the sparsity of the image or rank deficiency alone, better reconstruction results can be achieved by combining transform domain sparsity with rank deficiency. To reconstruct an MR image using its transform domain sparsity and its rank deficiency, this work proposes a combined l(1)-norm (of the transform coefficients) and nuclear norm (of the MR image matrix) minimization problem. Since such an optimization problem has not been encountered before, this work proposes and derives a first-order algorithm to solve it. The reconstruction results show that the proposed approach yields significant improvements, in terms of both visual quality as well as the signal to noise ratio, over previous works that reconstruct MR images either by exploiting rank deficiency or by the standard CS-based technique popularly known as the 'Sparse MRI.'
PMML in Action: Unleashing the Power of Open Standards for Data Mining and Predictive Analytics

The data mining community has derived a broad foundation of statistical algorithms and software solutions that has allowed predictive analytics to become a standard approach used in science and industry.For many years, much emphasis has been placed on the development of predictive models. As a consequence, the market place offers a range of powerful tools, many open-source, for effective model building. However, once we turn to the operational deployment and practical application of predictive solutions within an existing IT infrastructure, we face a much more limited choice of options. Often it takes months for models to be integrated and deployed via custom code or proprietary processes.The Predictive Model Markup Language (PMML) standard has reached a significant stage of maturity and has obtained broad industry support, allowing users to develop predictive solutions within one application and use another to execute them. Previously, this was very difficult, but with PMML, the exchange of predictive solutions between compliant applications is now straightforward.The aim of this book is to present PMML from a practical perspective. It contains a variety of code snippets so that concepts are made clear through the use of examples. Readers are assumed to have a basic knowledge of predictive analytics and its techniques and so the book is intended for data mining movers and shakers: anyone interested in moving predictive analytic solutions between applications, including students and scientists.PMML in Action is a great way to learn how to represent your predictive solutions through a mature and refined open standard. For the 2nd edition, the book has been completely revised for PMML 4.1, the latest version of PMML. It includes new chapters and an expanded description of how to represent multiple models in PMML, including model ensemble, segmentation, chaining, and composition. The book is divided into six parts, taking you in a PMML journey in which language elements and attributes are used to represent not only modeling techniques but also data pre- and post-processing.With PMML, users benefit from a single and concise standard to represent predictive models, thus avoiding the need for custom code and proprietary solutions.You too can join the PMML movement! Unleash the power of predictive analytics and data mining today
Orotic acid quantification in dried blood spots and biological fluids by hydrophilic interaction liquid chromatography tandem mass spectrometry

Orotic acid (ORA) is an intermediate metabolite in the pathway of pyrimidine nucleotides; its urinary excretion is useful to diagnose the hereditary orotic aciduria and some hyperammonemic inherited defects of urea cycle enzymes and amino acid transporters. ORA analysis is based on stable isotope dilution by GC-MS or LC-MS/MS methods. We developed a fast assay that measures the ORA in dried blood spots (DBS), plasma and urine using hydrophilic interaction LC-MS/MS. Within- and between-day analytical imprecision (CV%) of three quality control levels, in plasma, DBS and urine, ranged from 0.8 to 14.1%, while the inaccuracy ranged from -13.5 to 9.4%. In healthy children (n=20), ORA concentrations were less than 0.69 microM in plasma, less than 0.82 microM in DBS and from 0.2 to 1.4 mmol/mol of creatinine in urine. A patient with citrullinemia showed ORA levels of 133 microM in plasma and 39 microM in DBS. A patient with hyperammonemia-hyperornithinemia-homocitrullinemia (HHH) syndrome presented a urinary ORA level of 9.1 mmol/mol of creatinine. The method is potentially able to discriminate affected patients from reference subjects; the clinical validation should be expanded on a higher number of patients.
Highly sensitive detection of single microwave photons with coherent quantum network of superconducting qubits for searching galactic axions

Detection of single photons in the microwave range has a number of applications ranging from galactic dark matter axions searches to quantum computing and metrology. We propose a novel approach to acquisition of extremely low energy microwave signals (~1 GHz), based on the general concept of a passive quantum detection.  For such highly sensitive detector (quantum antenna) the key novel concept we intend to use is the coherent quantum network composed of a large amount of strongly interacting superconducting qubits embedded in a low dissipative superconducting resonator. We will fabricate and explore the dynamics of coherent quantum networks based on two types of superconducting qubits: transmons and flux qubits. A spatially distributed network of superconducting qubits interacting off-resonance with the incoming radiation, shows the collective ac Stark effect that can be measured  even in the limit of single photon counting. The interaction of the signal with the collective quantum states occurring in the network of superconducting qubits has the fundamental character of a quantum non-demolition measurement, whereby the quantum states of the signal and the collective states of qubits become gradually entangled. In particular, by employment of the network of large number of qubits (N) and utilization of a collective mode established in the network, we expect to exceed the standard quantum limit and reach the so-called Heisenberg limit of sensitivity which is proportional to 1/N instead of ~1/√N in case of N non directly interacting  qubits.  Assessment of the progress will be done by testing arrays with increasing number of superconducting qubits by using complementary experiments with different single photon sources. The feasibility of the superconducting network detector for galactic dark matter axions search will be finaly tested by axion conversion experiment in a magnetic field.
Epigenomic reprogramming of adipose tissue function and energy metabolism in type 2 diabetes

Obesity is associated with adipose tissue dysfunction leading to the onset of several pathologies including type 2 diabetes (T2D). The mechanisms underlying the development of obesity and T2D include the hypertrophy and/or hyperplasia of adipocytes and adipose tissue inflammation together with an altered secretion of adipokines. However, the explanation of why individual obese (and some non-obese) humans differ in their susceptibility to develop T2D is still an issue that is currently not sufficiently addressed. This susceptibility to T2D is mainly associated with environmental factors. One link between environment and disease is epigenetics influencing gene expression and subsequently organ dysfunction. Epigenetic modifications in adipose tissue have been proposed to influence the susceptibility to T2D. However, the epigenomic mechanisms underpinning adipose tissue dysfunction are poorly known. In search for epigenomic modifiers that control adipose tissue function and also impact on T2D pathogenesis, we have recently identified the transcriptional coregulators GPS2 (G-Protein Pathway Suppressor 2) and KDM6B (Histone Lysine Demethylase 6B, also called JMJD3) as strong candidates..
Our hypothesis is that the clinically documented dysregulation of GPS2 (down) and KDM6B (up) expression and function during obesity leads to the closely linked epigenetic and transcriptional reprogramming of adipocytes and adipose tissue-macrophages, thereby enhancing the susceptibility to metabolic and inflammatory disturbances and the progression towards T2D. 
We propose here to test this hypothesis using the combination of unique mouse models, genome-wide molecular and epigenomic analyses and human studies to dissect the epigenomic functions of GPS2 and KDM6B in adipose tissue, aiming at identifying mechanism involved in the development T2D. Thereby, we anticipate the discovery of novel epigenomic targets for future prevention and treatment strategies in metabolic dysfunction.
GALAXIES IN X-RAY GROUPS. I. ROBUST MEMBERSHIP ASSIGNMENT AND THE IMPACT OF GROUP ENVIRONMENTS ON QUENCHING

Understanding the mechanisms that lead dense environments to host galaxies with redder colors, more spheroidal morphologies, and lower star formation rates than field populations remains an important problem. As most candidate processes ultimately depend on host halo mass, accurate characterizations of the local environment, ideally tied to halo mass estimates and spanning a range in halo mass and redshift are needed. In this work, we present and test a rigorous, probabalistic method for assigning galaxies to groups based on precise photometric redshifts and X-ray selected groups drawn from the COSMOS field. The groups have masses in the range 10^13 < M_200c/M_sun < 10^14 and span redshifts 0<z<1. We characterize our selection algorithm via tests on spectroscopic subsamples, including new data obtained at the VLT, and by applying our method to detailed mock catalogs. We find that our group member galaxy sample has a purity of 84% and completeness of 92% within 0.5 R200c. We measure the impact of uncertainties in redshifts and group centering on the quality of the member selection with simulations based on current data as well as future imaging and spectroscopic surveys. As a first application of our new group member catalog which will be made publicly available, we show that member galaxies exhibit a higher quenched fraction compared to the field at fixed stellar mass out to z~1, indicating a significant relationship between star formation and environment at group scales. We also address the suggestion that dusty star forming galaxies in such groups may impact the high-l power spectrum of the cosmic microwave background and find that such a population cannot explain the low power seen in recent SZ measurements.
SIGNIFICADOS E METÁFORAS DA COVID-19 NA EXPERIÊNCIA DE HOMENS ADULTOS QUE TIVERAM A DOENÇA

Objetivo: compreender os significados e metáforas da Covid-19 na experiência de homens que tiveram a doença. Método: estudo qualitativo, realizado em ambiente virtual envolvendo 75 homens adultos, residentes no Brasil, sobreviventes da Covid-19, recrutados nas redes sociais Facebook® e Instagram®. Os dados foram coletados em resposta a um instrumento disponibilizado no Google Forms®. Os dados foram submetidos à análise lexical e à análise temática, e interpretados à luz da socioantropologia da doença. Resultados: do conteúdo temático emergiram três categorias: Percepção de vulnerabilidade à morte; As dores dos sintomas da doença e do isolamento; e Significados atribuídos à doença e ao adoecer. Conclusão: os homens elaboram metáforas da Covid 19 como um mal que os surpreende, desestrutura suas vidas e os isola. Posicionam-na como um sujeito perigoso de tal forma que a discriminação provoca mais sofrimento do que as manifestações clínicas. Descritores: COVID-19. Acontecimentos que Mudam a Vida. Estigma Social. Vulnerabilidade. Homens.
Infrastructure for nmr, em and x-rays for translational research

Structural biology provides insight into the molecular architecture of cells up to atomic resolution, revealing the biological mechanisms that are fundamental to life. It is thus key to many innovations in chemistry, biotechnology and medicine such as engineered enzymes, new potent drugs, innovative vaccines and novel biomaterials.
iNEXT (infrastructure for NMR, EM and X-rays for Translational research) will provide high-end structural biology instrumentation and expertise, facilitating expert and non-expert European users to translate their fundamental research into biomedical and biotechnological applications. 
iNEXT brings together leading European structural biology facilities under one interdisciplinary organizational umbrella and includes synchrotron sites for X-rays, NMR centers with ultra-high field instruments, and, for the first time, advanced electron microscopy and light imaging facilities. Together with key partners in biological and biomedical institutions, partners focusing on training and dissemination activities, and ESFRI projects (Instruct, Euro-BioImaging, EU-OPENSCREEN and future neutron-provider ESS), iNEXT forms an inclusive European network of world class.
iNEXT joint research projects (fragment screening for drug development, membrane protein structure, and multimodal cellular imaging) and networking, training and transnational access activities will be important for SMEs, established industries and academics alike. In particular, iNEXT will provide novel access modes to attract new and non-expert users, which are often hindered from engaging in structural biology projects through lack of instrumentation and expertise: a Structural Audit procedure, whereby a sample is assessed for its suitability for structural studies; Enhanced Project Support, allowing users to get expert help in an iNEXT facility; and High-End Data Collection, enabling experienced users to take full benefit of the iNEXT state-of-the-art equipment.
Microfluidic approaches mimicking biogeological conditions to investigate subsurface co2 recycling

The management of anthropogenic CO2 will be one of the main challenges of this century given the dramatic impact of greenhouse gases on our living environment. A fascinating strategy to restore the advantages of stored CO2 as a raw material would be to consider a slow biological upgrading process of CO2 in deep geological formations. 
Significantly, the recent development of microfluidic tools to study pore-scale phenomena under high pressure, opens new avenues to investigate such strategies. Thus, the strategic objective of this project is to develop and to use “Biological Geological Laboratories on a Chip - BioGLoCs” mimicking reservoir conditions in order to gain greater understanding in the mechanisms associated with the biogeological conversion process of CO2 to methane in CGS environment at pore scale. 
The specific objectives are: (1) to determine the experimental conditions for the development of competent micro-organisms (methanogens) and to establish the methane production rates depending on the operating parameters, (2) to evaluate the feasibility of a H2 in situ production strategy (required to sustain the methanogenesis process), (3) to investigate the full bioconversion process in 2D and 3D, (4) to demonstrate the process scaling from pore scale to liter scale and (5) to evaluate the overall process performance.
This multidisciplinary project gathering expertise in chemical engineering and geomicrobiology will be the first ever use of microfluidics approaches to investigate a biogeological transformation taking into account the thermo-hydro-bio-chemical processes. It will result in the identification of efficient geomicrobiological methods and materials to accelerate the CO2 to methane biogeoconversion process. New generic lab scale tools will be also made available for investigating geological-related topics (enhanced oil recovery, deep geothermal energy, bioremediation of groundwater, shale gas recovery).