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Metallic magnetic calorimeters have been used for several years for the determination of the shapes of beta spectra. Experimental spectra of the beta decays of $$^{63}$$ Ni and $$^{241}$$ Pu exhibit, at very low energy, strong deviations from standard theoretical calculations including corrections for screening, radiative, and nuclear size effects. These discrepancies can be attributed to the atomic exchange effect. In particular the spectrum of $$^{63}$$ Ni measured with an electroplated $$^{63}$$ Ni source is in excellent agreement with theory including the exchange effect. This underlines the quality of the experimental spectrum as well as the correctness of the calculation of the exchange effect. [ABSTRACT FROM AUTHOR]

Purpose: During the first weeks of the coronavirus disease 2019 (COVID-19) outbreak in France, it was necessary to clearly define organizational priorities in the radiation therapy (RT) departments. In this report, we focus on the urgent measures taken to reduce risk for both our staff and patients by reducing the number of patients receiving treatment., Methods and Materials: We reviewed the fractionation schemes for all patients in our department, including those receiving treatment and those soon to start treatment. Our goals were to (1) decrease the number of patients coming daily to the hospital for RT, (2) adapt our human resources to continue patients' care in the department, and (3) help to cover understaffed COVID-19 sectors of the hospital., Results: We identified 50 patients who were receiving treatment (n = 6), were going to start radiation after CT scan simulation (n = 41), or for whom the CT scan was pending (n = 3). The majority were women (64%) treated for breast cancer (54%). RT was delayed for 22 (44%) patients. The majority were offered hormone therapy as "waiting therapy." Hypofractionation was considered in 21 (42%) patients mainly with breast cancer (18 of 21, 86%). The number of courses initially planned and replanned as a result of the COVID-19 outbreak during the period of March 15 to May 31, 2020, were 1383 and 683, respectively, which represented a reduction of 50% (including delayed sessions) that allowed our reorganization process., Conclusions: To conserve resources during the pandemic, we successfully reduced the number of patients receiving treatment in a proactive fashion and adapted our organization to minimize the risk of COVID-19 contamination. Departments across the world may benefit from this same approach., (© 2020 The Authors.)

Acute graft-versus-host disease (aGVHD) represents a challenging complication after allogeneic hematopoietic stem cell transplantation. Despite the intensive preclinical research in the field of prevention and treatment of aGVHD, and the presence of a well-established clinical grading system to evaluate human aGVHD, such a valid tool is still lacking for the evaluation of murine aGVHD. Indeed, several scoring systems have been reported, but none of them has been properly evaluated and they all share some limitations: they incompletely reflect the disease, rely on severity stages that are distinguished by subjective assessment of clinical criteria and are not easy to discriminate, which could render evaluation more time consuming, and their reproducibility among different experimenters is uncertain. Consequently, clinical murine aGVHD description is often based merely on animal weight loss and mortality. Here, we propose a simple scoring system of aGVHD relying on the binary (yes or no) evaluation of five important visual parameters that reflect the complexity of the disease without the need to sacrifice the mice. We show that this scoring system is consistent with the gold standard histological staging of aGVHD across several donor/recipient mice combinations. This system is also a strong predictor of survival of recipient mice when used early after transplant and is highly reproducible between experimenters.

Purpose: After radiation therapy (RT), various radiation-induced toxicities can develop in about one-fourth of patients. An international interest in using morbidity and mortality rates to monitor the quality of care and integrate morbidity and mortality review (MMR) meetings into organizations' governance processes has arisen. We report the first results of patients included in our MMR procedure that included biological assays for individual intrinsic radiosensitivity (IIRS)., Methods and Materials: Twenty-three patients were prospectively included in the MMR database. Twenty-two were evaluable for IIRS. Prostate (n=10) and breast (n=8) cancers were the most frequent disease types. The total dose delivered, determined according to the type of disease, ranged from 30 to 74 Gy. Our MMR procedure requires strict criteria: patients with unresolved toxicity of grade 3 or higher with availability of clinical (photographic) data, IIRS results obtained from skin biopsy assays, treatment modalities, and follow-up data. The RT technique and dosimetry were reviewed., Results: Our prospective registration of toxicities showed mainly rectitis, occurring in 7 cases, and skin toxicities, occurring in 9. Of the 7 patients with rectitis, 5 received 66 Gy of post-prostatectomy RT with V50 (rectum volume receiving 50 Gy) ranging from 45% to 75% and a mean maximal dose of 66.5 Gy. For dermatitis and cystitis, the mean maximal doses were in the range of classical constraints without any overdosage or dose heterogeneity. No errors were found in the review of treatment planning and positioning. Conversely, all the patients were considered biologically as radiosensitive with genomic instability and ATM (ataxia telangiectasia mutated)-dependent DNA double-strand break repair impairments., Conclusions: The MMR review of files allowed clear answers for patients on the relationship between clinical events and their IIRS. Our procedure has allowed education of all our staff to monitor, identify, and document clinical, physical, and biological aspects of radiation-induced toxicities. Thus we recommend the introduction of the MMR procedure in RT departments., (Copyright © 2016 Elsevier Inc. All rights reserved.)

A general-case neural network model for 13C NMR spectrum prediction (estimation) was built from more than 8,300 carbon atoms having various environments. Building the model from the data set required a few weeks' work using commercial software. Average deviation on test data is ca. 4 ppm. There is no limit on molecule complexity. Estimation error does not depend on molecule size or complexity. The emphasis is on the data, the method and the results, not on the processes that take place inside the modelling software. Advantages, disadvantages and peculiarities of neural network-based data modelling ("data mining") are described at length. The differences in data handling between the data mining approach and traditional statistical modelling techniques are discussed and illustrated in detail. The spectrum predictor is available from PMSI at no charge.