Діяльність І. Муфтій-заде в органах земського самоврядування (кін. XIX – поч. XX ст.)

В статье анализируется плодотворная работа И.Муфтий-заде в Евпаторийской земской Управе. Автор рассматривает следующую проблему: роль и место Исмаила Муфтий-заде в решении важнейших вопросов благоустройства Евпатории в конце XIX – нач. XX в. Цель исследования: на конкретных примерах определить вклад отдельных исторических личностей в историю Крымского региона.У статті аналізується плідна робота І. Муфтій-заде у Євпаторійській повітовій земській управі. Автор розглядає таку проблему: роль і місце Ісмаїла Муфтій-заде у вирішенні важливих питань стосовно благоустрою Євпаторії в кін. XIX – поч. XX ст. Мета дослідження: на конкретних прикладах з’ясувати внесок окремих історичних особистостей в історію Кримського регіону.The article throws light on the resultative activity of Ismail Myphty-zade’s in the Eupatorian Land Committee. To define the position and role of Ismail Myphty-zade in solving of sound questions of the town planning and organization of public services in the end of XIX– beginning of XX centuries is a sphere of the author’s interests. The golef the investigation is to point out the role of separate historical individuals on the concrete examples in the Crimean region history

Skin color influences transcutaneous bilirubin measurements:a systematic in vitro evaluation

Objective: Concerns have been raised about the effect of skin color on the accuracy of transcutaneous bilirubin (TcB) measurements, a widely used method for hyperbilirubinemia diagnosis in newborns. Literature is inconclusive, with both reported under- and overestimations of the TcB with increasing skin pigmentation. Therefore, the influence of skin color on TcB measurements was systematically evaluated in a controlled, in vitro setting. Methods: A bilirubin meter (JM-105) was evaluated on layered phantoms that mimic neonatal skin with varying dermal bilirubin concentrations (0–250 µmol/L) and varying epidermal melanosome volume fractions (0–40%; light-dark skin color). Results: TcB measurements were influenced by skin pigmentation. Larger mimicked melanosome volume fractions and higher bilirubin levels led to larger underestimations of the measured TcB, compared to an unpigmented epidermis. In the in vitro setting of this study, these underestimations amounted to 26–132 µmol/L at a TcB level of 250 µmol/L. Conclusion: This in vitro study provides insight into the effect of skin color on TcB measurements: the TcB is underestimated as skin pigmentation increases and this effect becomes more pronounced at higher bilirubin levels. Our results highlight the need for improved TcB meter design and cautious interpretation of TcB readings on newborns with dark skin. Impact: Key message: Skin color influences transcutaneous bilirubin measurements: the darker the skin, the larger the underestimation. What this study adds to existing literature: Existing literature is inconclusive regarding the influence of skin color on transcutaneous bilirubin measurements. This study systematically evaluates and clarifies the influence of skin color on transcutaneous bilirubin measurements in a controlled, in vitro setting. Impact: This study aids to better interpret the measured TcB level in patients with varying skin colors, and is particularly important when using TcB meters on patients with dark skin colors.</p

Susceptibility correction for improved tractography using high field DT-EPI

Diffusion Tensor Magnetic Resonance Imaging (DTI) is a well known technique that can provide information about the neuronal fiber structure of the brain. However, since DTI requires a large amount of data, a high speed MRI acquisition technique is needed to acquire these data within a reasonable time. Echo Planar Imaging (EPI) is a technique that provides the desired speed. Unfortunately, the advantage of speed is overshadowed by image artifacts, especially at high fields. EPI artifacts originate from susceptibility differences in adjacent tissues and correction techniques are required to obtain reliable images. In this work, the fieldmap method, which tries to measure distortion effects, is optimized by using a non linear least squares estimator for calculating pixel shifts. This method is tested on simulated data and proves to be more robust against noise compared to previously suggested methods. Another advantage of this new method is that other parameters like relaxation and the odd/even phase difference are estimated. This new way of estimating the field map is demonstrated on a hardware phantom, which consists of parallel bundles made of woven strands of Micro Dyneema fibers. Using a modified EPI-sequence, reference data was measured for the calculation of fieldmaps. This allows one to reposition the pixels in order to obtain images with less distortions. The correction is applied to non-diffusion weighted images as well as diffusion weighted images and fiber tracking is performed on this corrected data.</p

Data Management Scan

The current data package contains the methodology of the research data management (RDM) scan that ran between December 2020 and April 2022 at Hanze University of Applied Sciences (UAS). The results of the project served as a useful source for further development of our RDM support. At the core of this project are the semi-structured, informal, one-on-one interviews held by the information specialists of Hanze UAS with 169 members of the research community. The interviews served four objectives: (1) to boost the visibility of the available RDM support at the university, (2) to offer direct RDM support to the participants and thus (3) gain insight into their needs and challenges regarding RDM at Hanze UAS, and finally (4) to collect data about researchers' level of competence with respect to RDM. Consequently, the data set consists of two parts: a quantitative part that can inform us about the RDM competence level of the researcher community at Hanze UAS, and a qualitative part that can inform us about gaps and areas of improvement for RDM support at our university. Additional information and documentation about our research method and examples of forms are included in the data package

Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping

Quantitative Magnetic Resonance (MR) imaging provides reproducible measurements of biophysical parameters, and has become an essential tool in clinical MR studies. Unfortunately, 3D isotropic high resolution (HR) parameter mapping is hardly feasible in clinical practice due to prohibitively long acquisition times. Moreover, accurate and precise estimation of quantitative parameters is complicated by inevitable subject motion, the risk of which increases with scanning time. In this paper, we present a model-based super-resolution reconstruction (SRR) method that jointly estimates HR quantitative parameter maps and inter-image motion parameters from a set of 2D multi-slice contrast-weighted images with a low through-plane resolution. The method uses a Bayesian approach, which allows to optimally exploit prior knowledge of the tissue and noise statistics. To demonstrate its potential, the proposed SRR method is evaluated for a T1 and T2 quantitative mapping protocol. Furthermore, the method's performance in terms of precision, accuracy, and spatial resolution is evaluated using simulated as well as real brain imaging experiments. Results show that our proposed fully flexible, quantitative SRR framework with integrated motion estimation outperforms state-of-the-art SRR methods for quantitative MRI