Charge separation and transport in La0.6Sr0.4Co0.2Fe0.8O3-δ and ion-doping ceria heterostructure material for new generation fuel cell

Functionalities in heterostructure oxide material interfaces are an emerging subject resulting in extraordinary material properties such as great enhancement in the ionic conductivity in a heterostructure between a semiconductor SrTiO3 and an ionic conductor YSZ (yttrium stabilized zirconia), which can be expected to have a profound effect in oxygen ion conductors and solid oxide fuel cells [1–4]. Hereby we report a semiconductor-ionic heterostructure La0.6Sr0.4Co0.2Fe0.8O3-δ (LSCF) and Sm-Ca co-doped ceria (SCDC) material possessing unique properties for new generation fuel cells using semiconductor-ionic heterostructure composite materials. The LSCF-SCDC system contains both ionic and electronic conductivities, above 0.1 S/cm, but used as the electrolyte for the fuel cell it has displayed promising performance in terms of OCV (above 1.0 V) and enhanced power density (ca. 1000 mW/cm2 at 550 °C). Such high electronic conduction in the electrolyte membrane does not cause any short-circuiting problem in the device, instead delivering enhanced power output. Thus, the study of the charge separation/transport and electron blocking mechanism is crucial and can play a vital role in understanding the resulting physical properties and physics of the materials and device. With atomic level resolution ARM 200CF microscope equipped with the electron energy-loss spectroscopy (EELS) analysis, we can characterize more accurately the buried interface between the LSCF and SCDC further reveal the properties and distribution of charge carriers in the heterostructures. This phenomenon constrains the carrier mobility and determines the charge separation and devices’ fundamental working mechanism; continued exploration of this frontier can fulfill a next generation fuel cell based on the new concept of semiconductor-ionic fuel cells (SIFCs)

sj-docx-1-jdr-10.1177_00220345231175868 – Supplemental material for Machine Learning Analysis of Microtensile Bond Strength of Dental Adhesives

Supplemental material, sj-docx-1-jdr-10.1177_00220345231175868 for Machine Learning Analysis of Microtensile Bond Strength of Dental Adhesives by R. Wang, V. Hass and Y. Wang in Journal of Dental Research</p

Quantitative structure-activity relationship of anti-HIV integrase and reverse transcriptase inhibitors using norm indexes

<p>The development of new and safe anti-human immunodeficiency virus (anti-HIV) drugs has been an urgent task for medical research recently. Herein, based on the norm-index descriptors proposed in this work and previous works, a couple of models were developed for investigating the quantitative structure–activity/toxicity relationship (QSAR/QSTR) of dual-target anti-HIV integrase (IN) and reverse transcriptase (RT) inhibitors. The validation results proved that the developed models were stable and reliable, both in statistical quality and predictive capacity. Moreover, potential dual-target inhibitors with high activity and low toxicity were deduced from the developed models; molecular docking results indicated that these inhibitors could interact with some important residues of HIV IN and RT through H-bonding. Accordingly, the norm indexes descriptors proposed by this work might be helpful for the research and development of dual-target anti-HIV drugs.</p

CD45 ligation expands Tregs by promoting interactions with DCs

Non

Economic Indicators July 2002

This publication presents basic statistics data about economic condition in Indonesia. It contains statistics on economics and finance such as consumer price index, whose sale price index, foreign currency, and banking, investment, agriculture products, mining and quarrying products balance of payments, exports and imports, consumption, hotel and tourism, and national income. Specially in each January edition, it present data of Indonesian population. Previously, this monthly publication is called Statistics Conjuncture (January 1950-July/August 1963)

Model development in OpenFOAM to predict spillway jet regimes

<div><p>Hydropower is the most important renewable energy source. Though hydropower provides abundant benefits, dams have also altered natural flow conditions affecting fish habitat. Elevated total dissolved gas (TDG) can result in gas bubble disease in affected fish. TDG production depends on the gas volume fraction and bubble depth in the tailrace, which are a function of spillway jet regimes. This paper presents a model developed in OpenFOAM to predict spillway jet regimes. The model utilizes the volume of fluid method to capture the dynamic free surface. A Large Eddy Simulation model, together with Detached Eddy Simulation, was used for turbulence closure. The model adequately reproduced jet regimes observed in a reduced-scale laboratory model. Differences in jet regimes predicted at reduced and prototype scales were observed. Results suggest that turbulence, not scaled in the laboratory model, plays an important role in the flow characteristics downstream of spillways.</p></div

Proteomic investigation of glucosinolate systematically changes in <i>Arabidopsis</i> Rosette leaves to exogenous methyl jasmonate

<div><p>Defense responses of plants are activated not only in the wounded tissues but also in the remote parts of the plants. Two different methyl jasmonate (MeJA) treatments were conducted, i.e., MeJA solution spraying of entire rosettes leaves and pasting leaf surface with lanolin squares containing MeJA. Glucosinolate profiles in leaves were similar using the two methods of MeJA treatment except for indole glucosinolates. The glucosinolate profiles in local and systemic leaves showed that the accumulation of glucosinolates in systemic leaves were delayed comparing with those in local treated leaves. Comparative proteomics were used to investigate the molecular processes underlying the glucosinolate changes in response to local and systemic MeJA induction. A total of 83 unique proteins were detected as differentially expressed between the local and systemic leaves. Functional analysis showed that redirection of metabolism from growth to defense was differentially regulated in local and systemic MeJA induction. The higher contents of indole glucosinolates in systemic leaves might arise from the induction of a long-distance signal produced in local leaves as well as from JA synthesized in systemic leaves.</p></div

Effects of visual and motion cues in flight simulation of ship borne helicopter operations

Good visual cues are necessary in flight simulation of ship borne helicopter operations. Operating in a degraded visual environment has a negative impact on pilot workload and task performance. However, the need for motion cues in piloted flight simulation is still a widely debated issue. This paper describes a preliminary piloted flight simulation study into the effects of visual and motion cues on the operation of ship-borne helicopters and pilot workload. Unsteady CFD airwakes have been computed and integrated into the FLIGHTLAB modelling and simulation environment with a simulated rotorcraft model, configured to be representative of an SH-60B helicopter. A series of ship-deck landing and hover manoeuvres have been conducted using the University of Liverpool's HELIFLIGHT-R motion-base flight simulator representing different visual and motion cues, for a range of ship airwakes and sea states (ship deck motions). The usable cue environment (UCE), handling quality and pilot workload ratings were assessed using visual cue ratings (VCR), handling quality rating (HQR) the Bedford workload rating scale and the Deck Interface Pilot Effort Scale (DIPES). This paper presents the results from simulation trials with two test pilots examining the effect of the simulation cueing on task performance and workload. Visual cues were found to have a significant impact both on the usable cue environment ratings and pilot workload ratings. In degraded visual environments, the pilot's ability to make corrections in attitude and translational rates was reduced. Pilot experienced higher workload in terms of compensatory control inputs to complete the same mission task compared to operations in a good visual environment. Analysis of the pilots' workload ratings and control activity shows that motion cueing can cause differences in the perceived pilot workload. For the simulation of ship borne operations, the motion cueing effects are dependent on other simulation conditions, which include visual environments, airwake, sea states and ship deck motion. The effect of motion cueing on pilot workload and control activity was found to be more significant when the visual cueing was degraded. The variation in pilot workload ratings and control activities under different motion and visual cues indicate that the Ship Helicopter Operating Limits (SHOL) can be affected by the simulation cueing fidelity.</p

Influence of light intensity on chloroplast development and pigment accumulation in the wild-type and etiolated mutant plants of <i>Anthurium andraeanum</i> ‘Sonate’

<p>Seedlings of wild-type and etiolate mutant plants of <i>Anthurium andraeanum</i> cultivar ‘Sonate’ were treated for 15 d with different light intensities (20, 100, and 400 µmol·m⁻²·s⁻¹) to analyze leaf plastid development and pigment content. Significant changes appeared in treated seedlings, including in leaf color, plastid ultrastructure, chloroplast development gene <i>AaGLK</i> expression, chlorophyll and anthocyanin contents, and protoplast shape. Wild-type and etiolated plants exhibited different plastid structures under the same light condition. The results suggest that light intensity is a crucial environmental factor influencing plastid development and leaf color formation in the <i>A. andraeanum</i> cultivar ‘Sonate’.</p