Giant Barocaloric Effect at the Spin Crossover Transition of a Molecular Crystal

The first experimental evidence for a giant, conventional barocaloric effect (BCE) associated with a pressure‐driven spin crossover transition near room temperature is provided. Magnetometry, neutron scattering, and calorimetry are used to explore the pressure dependence of the SCO phase transition in polycrystalline samples of protonated and partially deuterated [FeL2][BF4]2 [L = 2,6‐di(pyrazol‐1‐yl)pyridine] at applied pressures of up to 120 MPa (1200 bar). The data indicate that, for a pressure change of only 0–300 bar (0–30 MPa), an adiabatic temperature change of 3 K is observed at 262 K or 257 K in the protonated and deuterated materials, respectively. This BCE is equivalent to the magnetocaloric effect (MCE) observed in gadolinium in a magnetic field change of 0–1 Tesla. The work confirms recent predictions that giant, conventional BCEs will be found in a wide range of SCO compounds

Radiation attenuation by single-crystal diamond windows

As artificial diamond becomes more cost effective it is likely to see increasing use as a window for sample environment equipment used in diffraction experiments. Such windows are particularly useful as they exhibit exceptional mechanical properties in addition to being highly transparent to both X-ray and neutron radiation. A key application is in high-pressure studies, where diamond anvil cells (DACs) are used to access extreme sample conditions. However, despite their utility, an important consideration when using single-crystal diamond windows is their interaction with the incident beam. In particular, the Bragg condition will be satisfied for specific angles and wavelengths, leading to the appearance of diamond Bragg spots on the diffraction detectors but also, unavoidably, to loss of transmitted intensity of the beam that interacts with the sample. This effect can be particularly significant for energy-dispersive measurements, for example, in time-of-flight neutron diffraction work using DACs. This article presents a semi-empirical approach that can be used to correct for this effect, which is a prerequisite for the accurate determination of diffraction intensities

Gene-gene interaction affects coronary artery disease risk.

Introdução: Existem vários estudos que comparam doentes coronários e controlos, no sentido de determinar quais os polimorfismos que apresentam risco acrescido de doença das artérias coronárias (DC). Os seus resultados têm sido muitas vezes contraditórios, mas apresentam uma limitação suplementar: avaliam os polimorfismos um a um, quando na natureza os polimorfismos não existem isolados. Põe-se a questão se serão mais importantes associações de polimorfismos mutados no mesmo gene ou em genes diferentes. Objectivo: Com o presente trabalho pretendemos avaliar o risco da associação de polimorfismos em termos de aparecimento de DC no mesmo gene ou em genes diferentes. Metodologia: Estudámos em 298 doentes coronários e 298 controlos sãos o risco associado aos polimorfismos (genótipos considerados de risco), DD da Enzima de Converaão da Angiotensina (ECA) I/D; GG da ECA 8, MM do Angiotensinogénio (AGT) 174; TT do AGT 235; TT da Metiltetrahidrofolato Reductase (MTHFR) 677; AA da MTHFR 1298;RR da Paraoxonase1 (PON1) 192 e MM da PON1 55. Posteriormente avaliámos o risco ligado às associações no mesmo gene (DD da ECA + GG da ECA 8; MM do AGT174 + TT do AGT 235; TT da MTHFR 677 + AA da MTHFR 1298). Finalmente, nos polimorfismos que isoladamente apresentavam significância, avaliámos o risco das associações de polimorfismos a níveis funcionais diferentes (ECA + AGT; ECA + MTHFR; ECA + PON1. Finalmente através de um modelo de regressão logística fomos determinar quais as variáveis que se relacionavam de forma significativa e independente com a DC. Resultados: Os polimorfismos isolados como: ECA DD [P<0.0001], ECA 8 GG [P=0,023], e MTHFR 1298 AA [P=0,049]), apresentaram uma frequência mais elevada nos casos, associando-se de forma significativa ao grupo com DC. A associação de polimorfismos no mesmo gene não teve efeito sinergístico ou aditivo e não aumentou o risco de DC. A associação polimórfica em genes diferentes aumentou o risco de DC quando comparada com o risco do polimorfismo isolado. No caso da associação da ECA DD ou ECA 8 GG com a PON1 192 RR, o risco quadruplicou (OR passou de 1,8 para 4,2). Após regressão logística o hábito tabágico, a história familiar, o fibrinogénio, diabetes, a associação ECA DD ou ECA 8 GG com a MTHFR 1298 AA e a interacção ECA DD ou ECA 8 GG com a PON1 192 RR permaneceram na equação, mostrando ser factores de risco independente para DC. Conclusões: A associação de polimorfismos mutados no mesmo gene nunca aumentou o risco do polimorfismo isolado. A associação com interacção de polimorfismos mutados em genes diferentes, pertencentes a sistemas fisiopatológicos e enzimáticos diferentes, esteve sempre associada a maior risco do que cada polimorfismo por si. Este trabalho levanta, pela primeira vez, a possibilidade de tentativa de compreensão do risco genético coronário em conjunto e não de cada polimorfismo por si.INTRODUCTION: Various studies have compared coronary artery disease (CAD) patients with controls in order to determine which polymorphisms are associated with a higher risk of disease. The results have often been contradictory. Moreover, these studies evaluated polymorphisms in isolation and not in association, which is the way they occur in nature. OBJECTIVE: Our purpose was to evaluate the risk of CAD in patients with associated polymorphisms in the same gene or in differen genes. METHODS: We evaluated the risk associated with ACE DD, ACE 8 CC, ACT 174MM, AGT 235TT, MTHFR 677TT, MTHFR 1298AA, PON1 192RR and PON1 55MM in 298 CAD patients and 298 healthy individuals. We then evaluated the risk of associated polymorphisms in the same gene (ACE DD + ACE 8GG; AGT 174MM + AGT 235TT; MTHFR 677TT + MTHFR 1298AA). Finally, for the isolated polymorphisms which were significant, we evaluated the risk of polymorphism associations at different functional levels (ACE + AGT; ACE + MTHFR; ACE + PON1). Multiple logistic regression was used to identify independent risk factors for CAD. RESULTS: Isolated polymorphisms including ACE DD(p < 0.0001), ACE 8 gg (p=0.023), and MTHFR 1298AA (p = 0.049) presented with a significantly higher frequency in the CAD group. An association of polymorphisms in the same gene did not have an additive or synergistic effect, nor did it increase the risk of CAD. Polymorphic associations in different genes increased the risk of CAD, compared with the isolated polymorphisms. The association of ACE DD or ACE 8 GG with PON1 192RR increased the risk of CA fourfold (1.8 to 4.2). After logistic regression analysis, current smoking, family history, fibrinogen, diabetes, and the ACE DD or ACE 8 GG + MTHFR 1298AA and ACE DD or ACE 8 GG + PON1 192RR associations remained in the, model and proved to be independent predictors of CAD. CONCLUSIONS: The association of polymorphisms in the same gene did not increase the risk of the isolated polymorphism. The association of polymorphisms in genes belonging to different enzyme systems was always linked to increased risk compared to the isolated polymorphisms. This study may contribute to a better understanding of overall genetic risk for CAD rather than that associated with each polymorphism in isolation.info:eu-repo/semantics/publishedVersio

Demonstration of the event identification capabilities of the NEXT-White detector

In experiments searching for neutrinoless double-beta decay, the possibility of identifying the two emitted electrons is a powerful tool in rejecting background events and therefore improving the overall sensitivity of the experiment. In this paper we present the first measurement of the efficiency of a cut based on the different event signatures of double and single electron tracks, using the data of the NEXT-White detector, the first detector of the NEXT experiment operating underground. Using a 228Th calibration source to produce signal-like and background-like events with energies near 1.6 MeV, a signal efficiency of 71.6 ± 1.5 stat± 0.3 sys% for a background acceptance of 20.6 ± 0.4 stat± 0.3 sys% is found, in good agreement with Monte Carlo simulations. An extrapolation to the energy region of the neutrinoless double beta decay by means of Monte Carlo simulations is also carried out, and the results obtained show an improvement in background rejection over those obtained at lower energies. [Figure not available: see fulltext.

Radiogenic backgrounds in the NEXT double beta decay experiment

Natural radioactivity represents one of the main backgrounds in the search for neutrinoless double beta decay. Within the NEXT physics program, the radioactivity- induced backgrounds are measured with the NEXT-White detector. Data from 37.9 days of low-background operations at the Laboratorio Subterráneo de Canfranc with xenon depleted in 136Xe are analyzed to derive a total background rate of (0.84±0.02) mHz above 1000 keV. The comparison of data samples with and without the use of the radon abatement system demonstrates that the contribution of airborne-Rn is negligible. A radiogenic background model is built upon the extensive radiopurity screening campaign conducted by the NEXT collaboration. A spectral fit to this model yields the specific contributions of 60Co, 40K, 214Bi and 208Tl to the total background rate, as well as their location in the detector volumes. The results are used to evaluate the impact of the radiogenic backgrounds in the double beta decay analyses, after the application of topological cuts that reduce the total rate to (0.25±0.01) mHz. Based on the best-fit background model, the NEXT-White median sensitivity to the two-neutrino double beta decay is found to be 3.5σ after 1 year of data taking. The background measurement in a Qββ±100 keV energy window validates the best-fit background model also for the neutrinoless double beta decay search with NEXT-100. Only one event is found, while the model expectation is (0.75±0.12) events. [Figure not available: see fulltext.]

Complex reconstructions in head and neck cancer surgery: decision making

Defects in head and neck after tumor resection often provide significant functional and cosmetic deformity. The challenge for reconstruction is not only the aesthetic result, but the functional repair. Cancer may involve composite elements and the in sano resection may lead to an extensive tissue defect. No prospective randomized controlled studies for comparison of different free flaps are available. There are many options to cover defects and restore function in the head and neck area, however we conclude from experience that nearly all defects in head and neck can be closed by 5 different free flaps: radial forearm flap, free fibula flap, anterior lateral thigh flap, lateral arm flap and parascapular flap