2,337 research outputs found

    High-performance silver window electrodes for top-illuminated organic photovoltaics using an organo-molybdenum oxide bronze interlayer

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    We report an organo-molybdenumn oxide bronze that enables the fabrication of high-performance silver window electrodes for top-illuminated solution processed organic photovoltaics without complicating the process of device fabrication. This hybrid material combines the function of wide-band-gap interlayer for efficient hole extraction with the role of metal electrode seed layer, enabling the fabrication of highly transparent, low-sheet-resistance silver window electrodes. Additionally it is also processed from ethanol, which ensures orthogonality with a large range of solution processed organic semiconductors. The key organic component is the low cost small molecule 3-mercaptopropionic acid, which (i) promotes metal film formation and imparts robustness at low metal thickness, (ii) reduces the contact resistance at the Ag/molybdenumn oxide bronze interface, (iii) and greatly improves the film forming properties. Silver electrodes with a thickness of 8 nm deposited by simple vacuum evaporation onto this hybrid interlayer have a sheet resistance as low as 9.7 Ohms per square and mean transparency ∼80% over the wavelength range 400–900 nm without the aid of an antireflecting layer, which makes them well-matched to the needs of organic photovoltaics and applicable to perovskite photovoltaics. The application of this hybrid material is demonstrated in two types of top-illuminated organic photovoltaic devices

    An electrode design rule for high performance top-illuminated organic photovoltaics

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    An electrode design rule for high performance top-illuminated bulk-heterojunction organic photovoltaics is proposed, that enables the device architecture to be simplified by removing the need for the electron selective layer at the interface with the low work function reflective electrode. This new guideline for electrode design is underpinned by device studies in conjunction with a study of the energetics at the interface between five widely used solution processed organic semiconductors of both electron donor and acceptor type, and a stable low work function reflective substrate electrode. The magnitude and distribution of space charge resulting from ground-state electron transfer from the electrode into each organic semiconductor upon contact formation is derived from direct measurements of the interfacial energetics using the Kelvin probe technique, which enables the variation in potential across the entire film thickness used in the devices to be probed

    Electrodes for top-illuminated organic photovoltaic devices.

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    The work in this thesis focuses on the development of electrodes for top-illuminated organic photovoltaics (OPVs) and studies how their complex interactions with other layers affect the device. The development of a novel substrate electrode based on an Al | Cu bilayer capped with an ultra-thin Al layer is initially shown. This electrode offers the rare combination of high reflectivity, a very low work function of ~3.2 eV, and high stability towards oxidation. Photoelectron spectroscopy studies shows that an Al capping layer of ~1 nm in thickness is sufficient to block oxidation of the underlying Cu, which is remarkable given that the self-limiting oxide thickness for bulk Al is ≥2 nm. This promising substrate electrode is used to elucidate a new design rule for top-illuminated bulk-heterojunction OPVs. It is shown that for OPVs utilising high performance donor-type organic semiconductors in conjunction with a low work function electron extracting electrode, a barrier to hole-extraction spontaneously forms at the donor | electron-extracting electrode interface, blocking unwanted hole-extraction and negating the need for a hole-blocking layer, which simplifies the device architecture. This electrode design rule is underpinned by studies of the interfacial energetics with five widely used solution processed organic semiconductors as well as device based investigations. A novel organo-molybdenum oxide bronze is also developed which combines the function of wide band-gap interlayer for efficient hole-extraction with the role of a metal electrode seed layer, enabling the fabrication of highly transparent, low-sheet-resistance silver window electrodes for top-illuminated OPVs. Additionally, preliminary results relating to the fabrication of a model nanostructured reflective electrode are shown. This is designed to investigate the extent to which absorption of light can be enhanced in a top-illuminated OPVs by texturing the reflective substrate electrode

    Primary total knee arthroplasty in a patient with a chronic extensor mechanism deficiency

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    AbstractA 44-year-old female presented with a chief complaint of left knee pain and dysfunction. The patient had a complex surgical history including patellar fracture repair, subsequent patellar ligament repair, and ultimately allograft reconstruction which was complicated by septic arthritis requiring graft resection. On presentation to our clinic, she was noted to have significant degenerative disease in addition to chronic extensor mechanism deficiency. She underwent primary total knee arthroplasty with concomitant tibial tubercle osteotomy and advancement. The patient has had an excellent result postoperatively including return of full range of motion without residual extensor lag

    Snow‐Atmosphere Humidity Exchange at the Ice Sheet Surface Alters Annual Mean Climate Signals in Ice Core Records

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    Surface processes alter the water stable isotope signal of the surface snow after deposition. However, it remains an open question to which extent surface post-depositional processes should be considered when inferring past climate information from ice core records. Here, we present simulations for the Greenland Ice Sheet, combining outputs from two climate models with an isotope-enabled snowpack model. We show that surface vapor exchange and associated fractionation imprint a climate signal into the firn, resulting in an increase in the annual mean value of δ18O by +2.3‰ and a reduction in d-excess by −6.3‰. Further, implementing isotopic fractionation during surface vapor exchange improves the representation of the observed seasonal amplitude in δ18O from 65.0% to 100.2%. Our results stress that surface vapor exchange is important in the climate proxy signal formation and needs consideration when interpreting ice core climate records

    Effect of Six Weeks of Oral \u3ci\u3eEchinacea purpurea\u3c/i\u3e Supplementation On Nitric Oxide Production

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    Echinacea purpurea, a purple coneflower plant of the compositae family (Asteraceae), is native to North America and commonly used as an herbal supplement to enhance immune function. Echinacea purpurea has been shown to stimulate macrophage activity which is a known stimulator of nitric oxide (NO) production. Echinacea purpurea supplementation (8,000 mg·d-1) in untrained (42.5 ± 1.6 mL·kg-1·min-1) males was shown to elicit a 63% increase (p \u3c 0.05) in serum erythropoietin (EPO) following two weeks of supplementation. This is supported in part by earlier findings which indicated that four weeks of Echinacea purpurea supplementation demonstrated a non-significant increase in maximal oxygen uptake (VO2max). It is plausible that Echinacea-induced EPO production may stimulate physiological responses independent of and/or in addition to erythropoiesis. There is also evidence suggesting EPO has vasculo-protective effects including the activation of endothelial nitric oxide synthase (eNOS). Based on these findings, a proposed non-hematological response to the Echinacea-induced increase in EPO could be enhanced NO production. The purpose of this investigation was to determine whether six weeks of oral Echinacea purpurea supplementation augmented NO production as a result of an Echinacea-induced increase in EPO and/or Echinacea-induced macrophage activity

    Clinical Characteristics of Patients Classified as Very High Risk and Not Very High Risk Based on the 2018 AHA/ACC Multi-Society Cholesterol Guideline

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    Background The 2018 AHA/ACC Cholesterol Guideline recommendation to classify ASCVD patients as very high-risk (VHR) vs not-VHR (NVHR) has important implications for ezetimibe and PCSK9 inhibitor eligibility. We aimed to define the clinical characteristics of these two groups within a large multi-state healthcare system in the Western U.S. Methods We performed a retrospective cohort analysis of patients defined as having ASCVD in 2018 using EHR ICD-10 codes. VHR was defined by ≥2 major ASCVD events (ACS ≤12 months, history of MI \u3e12 months, ischemic stroke, or symptomatic PAD) or 1 major ASCVD event and ≥2 high-risk conditions (age ≥65, DM, HTN, smoking, HeFH, CKD, CHF, persistently elevated LDL-C, or prior CABG/PCI). Patients not meeting these criteria were classified as NVHR. Results A total of 180,669 ASCVD patients were identified: 104,123 (58%) were VHR and 76,546 (42%) were NVHR. Mean age and gender was 70.1±13.4 years, 54% male and 73.1±11.9 years, 55% male for the NVHR and VHR groups, respectively. Among patients with a history of MI or recent ACS, 99% and 96% were classified as VHR, respectively (Table). Age ≥65, HTN and DM were the most prevalent high-risk conditions. Conclusion Criteria used to predict future CV risk largely divide ASCVD patients into groups of similar prevalence. Nearly all ACS/MI patients were VHR. With growing emphasis on individualized risk assessment and intense LDL-C reduction, opportunity exists to further refine risk prediction within these two at-risk groups

    Estimation of Individual Micro Data from Aggregated Open Data

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    In this paper, we propose a method of estimating individual micro data from aggregated open data based on semi-supervised learning and conditional probability. Firstly, the proposed method collects aggregated open data and support data, which are related to the individual micro data to be estimated. Then, we perform the locality sensitive hashing (LSH) algorithm to find a subset of the support data that is similar to the aggregated open data and then classify them by using the Ensemble classification model, which is learned by semi-supervised learning. Finally, we use conditional probability to estimate the individual micro data by finding the most suitable record for the probability distribution of the individual micro data among the classification results. To evaluate the performance of the proposed method, we estimated the individual building data where the fire occurred using the aggregated fire open data. According to the experimental results, the micro data estimation performance of the proposed method is 59.41% on average in terms of accuracy.Comment: 7 page

    A multi-step nucleation process determines the kinetics of prion-like domain phase separation

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    The nucleation mechanisms of biological protein phase separation are poorly understood. Here, the authors perform time-resolved SAXS experiments with the low-complexity domain (LCD) of hnRNPA1 and uncover multiple kinetic regimes on the micro- to millisecond timescale. Initially, individual proteins collapse. Nucleation then occurs via two steps distinguished by their protein cluster size distributions

    Gold Nanoplates as Cancer-Targeted Photothermal Actuators for Drug Delivery and Triggered Release

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    The selective exposure of cancerous tissue to systemically delivered chemotherapeutic agents remains a major challenge facing cancer therapy. To address this question, a near infrared responsive oligonucleotide-coated (AS1411, hairpin, or both) gold nanoplate loaded with doxorubicin is demonstrated to be nontoxic to cells without triggered release, while being acutely toxic to cells after 5 minutes of laser exposure to trigger DOX release. Conjugation of oligonucleotides to the nanoplates is confirmed by an average increase in hydrodynamic diameter of 30.6 nm, an average blue shift of the plasmon resonance peak by 36 nm, and an average −10 mV shift in zeta potential of the particles. DOX loading through intercalation into the hairpin DNA structure is confirmed through fluorescence measurements. For both GNP-Hairpin and GNP-Hairpin-AS1411, ~60% of loaded DOX is released after the first 5 minutes of laser exposure (λ=817 nm), with complete release after two more 5-minute exposures. Preliminary proof of concept is demonstrated in vitro using A549 and MDA-MB-231 cell lines as models for breast and lung cancer, respectively. Exposure of cells to untriggered DOX-loaded conjugate with no laser exposure results in little to no toxicity, while laser-triggered release of DOX causes significant cell death
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