Hyperion Technologies (Canada)

We present the performance of a high-resolution, high-sensitivity, and UHF-MRI-compatible BrainPET insert for in vivo multimodal and multi-parametric neuroscientific imaging applications in humans. In this performance evaluation we studied mutual compatibility, PET-relevant imaging parameters, (spatial resolution, sensitivity, noise equivalent count rate, and coincidence time resolution), and MRI-relevant imaging parameters, (image homogeneity, image SNR, field homogeneity, and quality of spectra acquired for single-voxel <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${ }^{1} \mathrm{H}$</tex> spectroscopy). Potential imaging applications for nuclei other than <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${ }^{1} \mathrm{H}$</tex> (e.g. <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${ }^{13} \mathrm{C},{ }^{19} ~\mathrm{F},{ }^{23} \text{Na}$</tex>, and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${ }^{31} \mathrm{P}$</tex>) were also considered. In addition, we acquired PET-only in ovo images of a chick embryo and compared the images to those obtained with a Siemens Inveon small animal PET/CT. The PET insert was shown to have a homogeneous spatial resolution of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\approx 1.6 ~\text{mm}$</tex> paired with a sensitivity of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$57.2 \text{kcps} / \text{MBq}$</tex>. MR image SNR is <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\approx 10 \%$</tex> lower when measured with the PET insert installed and running. However, spurious RF noise spectra with running PET are free of detectable interference for <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${ }^{1} \mathrm{H}$</tex> and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${ }^{19} ~\mathrm{F}$</tex> within the relevant frequency bandwidths. No PET count rate loss was observed for most typical MR sequences. Thus, the BrainPET-7T provides a unique multimodal imaging tool for neuroscience with excellent MR and PET image quality.

The exact nature of crustal magmatic reservoirs is elusive as they cannot be sampled in situ. The traditional view that magma chambers contain essentially molten material has recently been replaced by the transcrustal magmatic system (TCMS), in which reservoirs are mostly composed of immobile magmatic crystals with a minute fraction of more mobile melt1-3, creating a 'magmatic mush'3. Eruptions are possible if a significant portion of melt segregates into melt-rich lenses within the mush reservoir1-3. The TCMS concept is, however, a default model essentially justified by the absence of clear geophysical signatures of melt-rich magma chambers1,4, and by the rare and tentative estimates of the melt fraction in the crustal storage zones based on geochemical and textural analysis of eruptive products5,6. Here we image a bright electrical conductor at 23 ± 1 km below sea level beneath Mayotte island that we interpret as a magmatic reservoir, based on laboratory measurements of Mayotte's melt conductivity. This large magmatic reservoir (more than 200 km3) contains a high melt fraction (22-42%). Such a crystal-to-liquid ratio matches the reconstructed differentiation paths7-9 producing the melts that recently erupted at Mayotte. This reservoir is possibly connected to the system that fed the large submarine eruption of Fani Maoré in 2018-201910.

Abstract Ireland is committed to boosting active travel as a key part of its decarbonisation plan. The development of Active Travel Infrastructure (ATI) which facilitates walking, cycling, and other non-motorised forms of transportation, is a focal area of Ireland's substantial capital investment efforts aimed at advancing its sustainable transportation goals. While investing in the new ATI, the aspect of ongoing maintenance and renewal is frequently overlooked. However, to ensure the realisation of the benefits of active travel, it is essential to have a sustainable asset management system accompanied by sufficient funding to uphold a consistent level of service throughout the infrastructure’s lifespan. This paper highlights the importance of a systematic management, maintenance, and renewal strategy for ATI assets that includes planned asset renewal, routine maintenance activities, and winter operations. It also proposes the funding requirements for maintaining and preserving the lifespan of existing and new ATI.

Current pre-clinical positron emission tomography (PET) scanners are often based on monolithic detectors due to their high spatial resolution and intrinsic depth-of-interaction (DOI) capabilities to reduce parallax positioning errors. However, the broad light distributions of monolithic designs can lead to drawbacks in the sensor readout and in the processing chain, e.g., dead time as well as pile up. Semi-monolithic slab detectors represent an attractive alternative as they provide a higher optical photon density while allowing a DOI determination. The cost can be assumed competitive with monoliths. This work presents a semi-monolithic detector comprising 1 mm thin high-resolution LYSO slabs coupled to a 12 × 12 channel digital SiPM tile. Currently, a detector spatial resolution (SR) (FWHM of the PSF) of 1.2 / 2.3 mm and a mean absolute error (MAE) of 0.9 / 1.1 mm is achieved in planar-monolithic / DOI direction with a correct slab identification in the planar-segmented direction of 92 % considering a [435 - 585] keV energy window. An energy resolution of 15.2 % and 461 ps coincidence timing resolution (CTR) were obtained.

Improving the performance of on-device audio classification models remains a challenge given the computational limits of the mobile environment. Many studies leverage knowledge distillation to boost predictive performance by transferring the knowledge from large models to on-device models. However, most lack a mechanism to distill the essence of the temporal information, which is crucial to audio classification tasks, or similar architecture is often required. In this paper, we propose a new knowledge distillation method designed to incorporate the temporal knowledge embedded in attention weights of large transformer-based models into on-device models. Our distillation method is applicable to various types of architectures, including the non-attention-based architectures such as CNNs or RNNs, while retaining the original network architecture during inference. Through extensive experiments on both an audio event detection dataset and a noisy keyword spotting dataset, we show that our proposed method improves the predictive performance across diverse on-device architectures.

A criterion of the quality of fresh frozen blood plasma (FFP) is the activity of clotting factor VIII (FVIII).Aim — to identify technological barriers in the study of FVIII thermolability and to describe the requirements for experiments, providing new knowledge about the thermolability of this factor.Basic information. An analysis of domestic and foreign publications devoted to the study of the mechanisms responsible for reducing the value of FVIII activity in donor blood plasma from the moment of donation to the moment of transfusion was carried out. Data on the decrease in FVIII activity at various stages of work with blood plasma are presented. An analysis of methods for preparing samples for studying changes in the values of FVIII in donor blood plasma was performed. The existence of contradictory conclusions about the infl uence on the change in FVIII at the thawing stage of various values of the effects on FFP and poor knowledge of the change in the indicator at the stage of heating to the transfusion temperature after the end of the phase transition in the samples was established. The fundamental differences in the methods of preparing and conducting experiments in previous works are determined. Methods for increasing the reliability of experimental results for studying the thermal lability of FVIII are proposed.

ABSTRACTObjectiveIndia reported its first COVID-19 case in the state of Kerala and an outbreak initiated subsequently. The Department of Health Services, Government of Kerala, initially released daily updates through daily textual bulletins for public awareness to control the spread of the disease. However, this unstructured data limits upstream applications, such as visualization, and analysis, thus demanding refinement to generate open and reusable datasets.Materials and MethodsThrough a citizen science initiative, we leveraged publicly available and crowd-verified data on COVID-19 outbreak in Kerala from the government bulletins and media outlets to generate reusable datasets. This was further visualized as a dashboard through a frontend web application and a JSON repository, which serves as an API for the frontend.ResultsFrom the sourced data, we provided real-time analysis, and daily updates of COVID-19 cases in Kerala, through a user-friendly bilingual dashboard (https://covid19kerala.info/) for non-specialists. To ensure longevity and reusability, the dataset was deposited in an open-access public repository for future analysis. Finally, we provide outbreak trends and demographic characteristics of the individuals affected with COVID-19 in Kerala during the first 138 days of the outbreak.DiscussionWe anticipate that our dataset can form the basis for future studies, supplemented with clinical and epidemiological data from the individuals affected with COVID-19 in Kerala.ConclusionWe reported a citizen science initiative on the COVID-19 outbreak in Kerala to collect and deposit data in a structured format, which was utilized for visualizing the outbreak trend and describing demographic characteristics of affected individuals.