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We report on the use of molecular acceptors (MAs) and donor polymers processed with a biomass-derived solvent (2-methyltetrahydrofuran, 2-MeTHF) to facilitate bulk heterojunction (BHJ) organic photovoltaics (OPVs) with power conversion efficiency (PCE) approaching 15%. Our approach makes use of two newly designed donor polymers with an opened ring unit in their structures along with three molecular acceptors (MAs) where the backbone and sidechain were engineered to enhance the processability of BHJ OPVs using 2-MeTHF, as evaluated by an analysis of donor-acceptor (D-A) miscibility and interaction parameters. To understand the differences in the PCE values that ranged from 9-15% as a function of composition, the surface, bulk, and interfacial BHJ morphologies were characterized at different length scales using atomic force microscopy, grazing-incidence wide-angle X-ray scattering, resonant soft X-ray scattering, X-ray photoelectron spectroscopy, and 2D solid-state nuclear magnetic resonance spectroscopy. Our results indicate that the favorable D-A intermixing that occurs in the best performing BHJ film with an average domain size of ∼25 nm, high domain purity, uniform distribution and enhanced local packing interactions - facilitates charge generation and extraction while limiting the trap-assisted recombination process in the device, leading to high effective mobility and good performance.
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http://dx.doi.org/10.1039/d3mh01133j | DOI Listing |
J Med Case Rep
December 2024
"Carol Davila" University of Medicine and Pharmacology, Bucharest, Romania.
Background: Congenital scoliosis with progressive potential is a controversial subject in early-onset spinal deformities. The presence of a hemivertebra may produce severe spinal deformities. The evolution of a scoliotic curve in these cases is unpredictable and requires careful follow-up dependent on multiple variables, such as the location of the hemivertebra, the age of the patient at the time of diagnosis, and the degree of deformity already present in both sagittal and frontal planes.
View Article and Find Full Text PDFBMC Bioinformatics
December 2024
Albert Szent-Györgyi Health Centre, University of Szeged, Korányi fasor 14-15, Szeged, H-6725, Csongrád-Csanád, Hungary.
Background: Accurate prediction of copy number variations (CNVs) from targeted capture next-generation sequencing (NGS) data relies on effective normalization of read coverage profiles. The normalization process is particularly challenging due to hidden systemic biases such as GC bias, which can significantly affect the sensitivity and specificity of CNV detection. In many cases, the kit manifests provide only the genome coordinates of the targeted regions, and the exact bait design of the oligo capture baits is not available.
View Article and Find Full Text PDFSci Rep
December 2024
Electrical Engineering Department, Shobra Faculty of Engineering, Benha University, Cairo, 11629, Egypt.
The accurate classification of seismic events into natural earthquakes (EQ) and quarry blasts (QB) is crucial for geological understanding, seismic hazard mitigation, and public safety. This paper proposes a machine-learning approach to discriminate seismic events, particularly differentiating between natural EQs and man-made QBs. The core of this study is to integrate different features into a unified dataset to train some linear and nonlinear supervised machine learning (ML) models.
View Article and Find Full Text PDFCell Biochem Biophys
December 2024
Department of Biotechnology, Prathyusha Engineering College, Tiruvallur, Chennai, 602025, Tamilnadu, India.
The present study introduces a minimalistic and cost-effective approach to synthesising Gold nanoparticles (AuNPs) using aqueous leaf extracts of Andrographis paniculata. In this synthesis, bioactive metabolites in the leaf extract act as reducing agents, converting Au³⁺ ions to metallic Au⁰, while proteins in the extract form a stabilising layer around the nanoparticles to prevent agglomeration and maintain particle size stability. The synthesised AuNPs were systematically characterised using a range of analytical techniques.
View Article and Find Full Text PDFAesthetic Plast Surg
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Research and Innovation Hub, Innovation Aesthetics, London, WC2H 9JQ, UK.
Introduction: Aesthetic medicine has evolved towards minimally invasive procedures, with biostimulators like Poly-L-Lactic Acid (PLLA), Calcium Hydroxylapatite (CaHA), and Polycaprolactone (PCL) gaining attention for their role in collagen induction, improving skin texture, elasticity, and volume. Combining these agents with other treatments-such as botulinum toxin, dermal fillers, and energy-based devices (e.g.
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