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Potential risk of Immune-Related Thyroid gland Disorder Caused simply by PD-1/PD-L1 Inhibitors in Cancer malignancy People: An Updated Organized Evaluation along with Meta-Analysis.
© 2020 IOP Publishing Ltd.OBJECTIVE Obstructive sleep apnea (OSA) is a disorder with a high prevalence rate that may induce serious complications. Recent progress in the area of hypoglossal nerve stimulation has played a role as an alternative to conventional therapies though, some patients having retropalatal collapse still have not benefitted. Therefore, here we propose a new type of upper-airway stimulation, referred to as the palatal implant system, which recovers the upper-airway patency by electrically stimulating the soft palate. APPROACH The system consists of two major parts an implant that stimulates the soft palate through electrodes and an intra-oral device that delivers power and data simultaneously to the implant via an inductive link. Evaluations of the system are conducted in bench-top, in vitro, and in vivo tests to evaluate its feasibility as an OSA treatment, and the potential development of the system is addressed in the discussion section. MAIN RESULTS In the bench-top test, the power efficiency was 12.4 % at d = 5 mm and the system could operate up to 8 mm-distance in a bio-medium. Data transmission was also successful at distances ranging 2 to 8 mm within an error margin of 10 %. The measured CSCc and the impedance magnitude of the electrode were 62.25 mC/cm2 and 390 Ω, respectively, proving a feasibility of the electrode as a stimluator interface. The system was applied to a rabbit and contraction of the soft palate muscle was recorded via a C-arm fluoroscopy. Signififcance. As a proof of concept, we suggest and demonstrate the palatal implant system as a new therapy for those undergoing treatment for OSA. © 2020 IOP Publishing Ltd.In-room imaging is a prerequisite for adaptive proton therapy. The use of onboard cone-beam computed tomography (CBCT) imaging, which is routinely acquired for patient position verification, can enable daily dose reconstructions and plan adaptation decisions. Image quality deficiencies though, hamper dose calculation accuracy and make corrections of CBCTs a necessity. This study compared three methods to correct CBCTs and create synthetic CTs that are suitable for proton dose calculations. CBCTs, planning CTs and repeated CTs (rCT) from 33 H&N cancer patients were used to compare a deep convolutional neural network (DCNN), deformable image registration (DIR) and an analytical image-based correction method (AIC) for synthetic CT (sCT) generation. Image quality of sCTs was evaluated by comparison with a same-day rCT, using mean absolute error (MAE), mean error (ME), Dice similarity coefficient (DSC), structural non-uniformity (SNU) and signal/contrast-to-noise ratios (SNR/CNR) as metrics. Dosimetric accuracy was investigated in an intracranial setting by performing gamma analysis and calculating range shifts. Neural network-based sCTs resulted in the lowest MAE and ME (37/2 HU) and the highest DSC (0.96). While DIR and AIC generated images with a MAE of 44/77 HU, a ME of -8/1 HU and a DSC of 0.94/0.90. Gamma and range shift analysis showed almost no dosimetric difference between DCNN and DIR based sCTs. The lower image quality of AIC based sCTs affected dosimetric accuracy and resulted in lower pass ratios and higher range shifts. Patient-specific differences highlighted the advantages and disadvantages of each method. For the set of patients, the DCNN created synthetic CTs with the highest image quality. Accurate proton dose calculations were achieved by both DCNN and DIR based sCTs. The AIC method resulted in lower image quality and dose calculation accuracy was reduced compared to the other methods. Creative Commons Attribution license.While the effects of structural disorder on the electronic properties of solids are poorly understood, it is widely accepted that spatially isotropic orbitals lead to robustness against disorder. In this paper, we use first-principles calculations to show that a cluster of occupied bands in the coordination polymer semiconductor copper(I) thiocyanate undergo relatively little fluctuation in the presence of thermal disorder - a surprising finding given that these bands are composed of spatially anisotropic d-orbitals. Analysis with the tight-binding method and a stochastic network model suggests that the robustness of these bands to thermal disorder can be traced to the way in which these orbitals are aligned with respect to each other. This special alignment causes strong inverse statistical correlations between orbital-orbital distances, making these bands robust to random fluctuations of these distances. As well as proving that disorder-robust electronic properties can be achieved even with anisotropic orbitals, our results provide a concrete example of when simple 'averaging' methods can be used to treat thermal disorder in electronic structure calculations. © 2020 IOP Publishing Ltd.We have developed a special technique and succeeded to carry out small-angle x-ray scattering measurements for some liquid metal systems. The purpose is to investigate effects of transitions such as liquid-liquid (LLT), liquid-gas (LGT) and metal-nonmetal (MNMT) transitions on mesoscopic density fluctuations in liquids. In liquid Te systems (Se-Te and Ge-Te mixtures), which show continuous LLT accompanying MNMT, parameters of density fluctuations show maxima at almost in the middle of the transition, both in strength and spatial size. IBMX purchase This work (and Kajihara et al 2012 Phys. Rev. B86 214202) was the first direct observation that density fluctuations exhibit maximum corresponding to LLT. However in this study, we could not clearly separate the effects of LLT and MNMT on the observed density fluctuations. Thus we also investigated fluid Hg under high pressure and high temperature conditions, which shows MNMT near a critical point of LGT, to investigate how MNMT affects them. We observed distinct density fluctuations; a strength and a correlation length of them show maxima at around a critical isochore of LGT, and the former is basically consistent with a phase diagram (compressibility) of LGT; they do not show any peaks at MNMT region. Precise analysis revealed that MNMT only affects a shift of another parameter, a short-range correlation length. These results in fluid Hg indicate that the density fluctuations are mainly derived from a critical phenomena of LGT and MNMT does not play any critical role on them. We believe that the latter conclusion also holds true for liquid Te systems; MNMT plays no important role on the density fluctuations in liquid Te systems and LLT is the main origin of them. © 2020 IOP Publishing Ltd.The development of 3D Cell-printing technology contributes to the application of tissue constructs in vitro in neuroscience. Collecting neural cells from patients is an efficient way of monitoring health of an individual target, which, in turn, benefits the enhancement of medicines. The fabricated sample of neural cells is exposed to potential drugs for the analysis of neuron responses. 3D cell-printing as an emerging biofabrication technology has been widely used to mimic natural 3D models in in vitro tissue research, especially in vitro brain-like tissue constructs in neuroscience. Fabricated brain-like tissue constructs provide a 3D microenvironment for primary neural cells to grow within. After more than several weeks of in vitro culturing, the formation of neural circuits in structures equips them with the capability of sensitively responding to a stimulus. In this study, an in vitro layered brain-like tissue construct is first proposed and later developed by 3D cell-printing technology. The layered stru Publishing Ltd.This paper attempts to systematise all published experimental results for the Dose Reduction Factor (DRF) offered by leaded eyewear on clinicians performing interventional procedures. That way it presents a comprehensive analysis of the issue and a comparison of the various equipment models at different exposure geometries. Its main purpose is, however, to clarify the best choice for DRF within the possible diverse contexts and approaches to eye lens dose assessment. Evidence has been obtained that the lowest estimates of DRF are associated with the larger scatter incidence angles and that, except for a little better performance exhibited by wraparound eyeglasses, there is no real distinction between the DRFs for the different equipment categories. The dataset as a whole confirms that, when measurements for the concerned eyewear model and irradiation conditions are unattainable, assuming DRF=2 represents an adequately conservative choice. Nonetheless, this value includes only 17% of all results from the literature, whereas their histogram follows a distribution skewed towards higher values, represented by a median equal to 5. Therefore, if more realistic dose reconstructions are necessary, such as for purposes of epidemiological investigations or compensation decisions, the adoption of this central tendency index appears to be more reasonable. The complexity of characterising the DRF behaviour as a function of the various exposure factors reinforces the consideration of a statistical approach to eye lens dose assessment as a viable alternative. In this perspective, assuming for DRF a lognormal distribution with parameters μ=1.50 and σ=0.73, which has been verified to satisfactorily approximate the literature data distribution, should be deemed to be an appropriate option. © 2020 Society for Radiological Protection. Published on behalf of SRP by IOP Publishing Limited. All rights reserved.The newly developed mesh-type reference computational phantoms (MRCPs) represent the evolution of the previous reference phantoms and a more detailed description of the human body, addressing the voxel reference phantoms limitations. These allow for a more accurate dose calculation in the human body which in some cases result in a significant difference of the calculated quantities. In this work, the absorbed dose calculation due to neutrons and gammas was calculated using a voxel and a mesh-type computational phantom. The goal is to understand how the more accurate description of the human body affects the estimated neutron dose. The phantoms were tested in a real-case scenario they were placed in front of a neutron Howitzer container model using PHITS. This model corresponds to the neutron Howitzer container at the Neutron Measurements Laboratory of the Energy Engineering Department of the Polytechnic University of Madrid (UPM), and at the time of the measurements it was equipped with a 241Am-Be neutron source of 74 GBq in its center. The container allows the source to be in either the irradiation or the storage position. Results show that when dealing with neutrons, the dose deviation when using GOLEM or the MRCP leads to a general 20%-30% deviation that goes up to above 400% in small thin structures, such as the eye. © 2020 Society for Radiological Protection. Published on behalf of SRP by IOP Publishing Limited. All rights reserved.OBJECTIVE In healthy adults, the right atrium (RA) serves as a reservoir for the systemic flow return from the superior vena cava (SVC) and inferior vena cava (IVC), preparing the two flows to be transferred to the right ventricle (RV) and pulmonary circulation. This study aims to quantify the haemodynamics of the RA and the associated SVC and IVC inflows, which have not been fully understood to date. APPROACH Eighteen adults with structurally normal hearts underwent 4D flow magnetic resonance imaging. The cardiac cycle was resolved to 20 temporal phases with a spatial resolution of 3x3x3mm3. Analysis included objective visualisation of the flow structures in the RA identified by three different vortex identification criteria, kinetic energy (KE), enstrophy and dissipation. KE and helicity flux were also assessed in both caval veins. MAIN RESULTS Vortex identification methods confirmed that in the majority of subjects the blood flow from the caval veins filling the RA during ventricular systole is not chaotic, but rather forms an organised pattern of a single coherent forward turning vortex structure.
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