The aims of this study were both the qualitative and quantitative analysis of chromium accumulation in the shoots of Callitriche cophocarpa. This globally distributed, submersed macrophyte exhibits outstanding Cr phytoremediation capacity in an aquatic environment. Cr was applied separately for 7 days at two stable forms as Cr(VI) and Cr(III), known from their diverse physicochemical properties and toxicities. The maps of Cr depositions in young leaves, mature leaves, and stems were obtained by micro X-ray fluorescence spectroscopy (μXRF). The detailed analysis of XRF maps was done based on Image-Pro PLUS (Media Cybernetics) software. Cr was accumulated either in trichomes or vascular bundles in respect to the element speciation and the plant organ. The concentration of Cr significantly increased in the following order: Cr(VI) mature leaves < Cr(VI) young leaves = Cr(VI) stems < Cr(III) young leaves ≤ Cr(III) mature leaves ≤ Cr(III) stems. The observed differences in distribution and accumulation of Cr were correlated with the different reduction potential of Cr(VI) by particular plant organs. The reduction of Cr(VI) is considered the main detoxification mechanism of the highly toxic Cr(VI) form. The unique L-band electron resonance spectrometer (L-band EPR) was applied to follow the reduction of Cr(VI) to Cr(III) in the studied material.
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http://dx.doi.org/10.1007/s11356-015-5499-y | DOI Listing |
Sci Rep
January 2025
Department of Biosystems Engineering, Graduate School of Science and Engineering, Yamagata University (emeritus), Yonezawa, Japan.
We developed a deep learning-based extraction of electrocardiographic (ECG) waves from ballistocardiographic (BCG) signals and explored their use in R-R interval (RRI) estimation. Preprocessed BCG and reference ECG signals were inputted into the bidirectional long short-term memory network to train the model to minimize the loss function of the mean squared error between the predicted ECG (pECG) and genuine ECG signals. Using a dataset acquired with polyvinylidene fluoride and ECG sensors in different recumbent positions from 18 participants, we generated pECG signals from preprocessed BCG signals using the learned model and evaluated the RRI estimation performance by comparing the predicted RRI with the reference RRI obtained from the ECG signal using a leave-one-subject-out cross-validation scheme.
View Article and Find Full Text PDFHum Brain Mapp
January 2025
Amsterdam UMC, Department of Radiology and Nuclear Medicine, University of Amsterdam, Amsterdam, the Netherlands.
Accurately predicting individual antidepressant treatment response could expedite the lengthy trial-and-error process of finding an effective treatment for major depressive disorder (MDD). We tested and compared machine learning-based methods that predict individual-level pharmacotherapeutic treatment response using cortical morphometry from multisite longitudinal cohorts. We conducted an international analysis of pooled data from six sites of the ENIGMA-MDD consortium (n = 262 MDD patients; age = 36.
View Article and Find Full Text PDFInt J Infect Dis
January 2025
Division of Internal Medicine, Japan Agricultural Cooperatives Kochi Hospital, 526-1 Myoken-aza-Nakano, Nankoku, Kochi 783-8509, Japan; Department of Community Medicine for Respirology, Graduate School of Biomedical Sciences, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan. Electronic address:
Z Evid Fortbild Qual Gesundhwes
January 2025
Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany.
Background: Pregnant women and their families, especially those navigating chronic illness or challenging life situations, often seek information and counseling. The pregnancy period and the transition to parenthood can exacerbate these circumstances, leaving families particularly vulnerable. Addressing stressful situations becomes a hurdle in this context.
View Article and Find Full Text PDFBackground/aim: COGNITIVE FLEXIBILITY REFERS TO PEOPLE'S CAPACITY TO CHANGE OR EVOLVE THEIR THINKING AND STRATEGIES WHEN CONFRONTED WITH NEW INFORMATION OR CIRCUMSTANCES: These attributes are essential in research environments where complex and dynamic challenges frequently arise. In this study, the aim is to explore and establish whether a correlation exists between cognitive flexibility and research performance, especially in the medical students, in order to fill the deficit, if any, as well as understand the status of research teaching.
Methods: We conducted an analytical cross-sectional study with medical students from the College of Medicine at King Saud University in Riyadh, Saudi Arabia.
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