357 research outputs found
Atomic scale switches based on self-assembled surface magic clusters
Atomic scale switches working at room temperature represent the ultimate level of device miniaturization. Using scanning tunneling microscopy, we find a bistable switching between two mirror-symmetric configurations of self-assembled magic rare earth silicide clusters on the Si(111) 7 X 7 surface. Density functional theory reveals an energy barrier of 1.3 eV between the two cluster configurations, suppressing the switching even at room temperature. However, intentional switch- ing between the two states is possible in the presence of a close tunneling tip due to a tip-induced lowering of the energy barrier
Communication in the Third Dimension: Song Perch Height of Rivals Affects Singing Response in Nightingales
Many animals use long-range signals to compete over mates and resources. Optimal transmission can be achieved by choosing efficient signals, or by choosing adequate signalling perches and song posts. High signalling perches benefit sound transmission and reception, but may be more risky due to exposure to airborne predators. Perch height could thus reflect male quality, with individuals signalling at higher perches appearing as more threatening to rivals. Using playbacks on nightingales (Luscinia megarhynchos), we simulated rivals singing at the same height as residents, or singing three metres higher. Surprisingly, residents increased song output stronger, and, varying with future pairing success, overlapped more songs of the playback when rivals were singing at the same height than when they were singing higher. Other than expected, rivals singing at the same height may thus be experienced as more threatening than rivals singing at higher perches. Our study provides new evidence that territorial animals integrate information on signalling height and thus on vertical cues in their assessment of rivals
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Advanced Emissions Control Development Program
The primary objective of the Advanced Emissions Control Development Program (AECDP) is to develop practical, cost-effective strategies for reducing the emissions of hazardous air pollutants (HAPs, or air toxics) from coal-fired boilers. This objective is being met by identifying ways to effectively control air toxic emissions through the use of conventional flue gas cleanup equipment such as electrostatic precipitators (ESPs), fabric filters (fabric filters), and wet flue gas desulfurization (wet FGD) systems. Development work initially concentrated on the capture of trace metals, hydrogen chloride, and hydrogen fluoride. Recent work has focused almost exclusively on the control of mercury emissions
Optical control of 4f orbital state in rare-earth metals
Information technology demands continuous increase of data-storage density.
In high-density magnetic recording media, the large magneto-crystalline
anisotropy (MCA) stabilizes the stored information against decay through
thermal fluctuations. In the latest generation storage media, MCA is so large
that magnetic order needs to be transiently destroyed by heat to enable bit
writing. Here we show an alternative approach to control high-anisotropy
magnets: With ultrashort laser pulses the anisotropy itself can be manipulated
via electronic state excitations. In rare-earth materials like terbium metal,
magnetic moment and high MCA both originate from the 4f electronic state.
Following infrared laser excitation 5d-4f electron-electron scattering
processes lead to selective orbital excitations that change the 4f orbital
occupation and significantly alter the MCA. Besides these excitations within
the 4f multiplet, 5d-4f electron transfer causes a transient change of the 4f
occupation number, which, too, strongly alters the MCA. Such MCA change cannot
be achieved by heating: The material would rather be damaged than the 4f
configuration modified. Our results show a way to overcome this limitation for
a new type of efficient magnetic storage medium. Besides potential
technological relevance, the observation of MCA-changing excitations also has
implications for a general understanding of magnetic dynamics processes on
ultrashort time scales, where the 4f electronic state affects the angular
momentum transfer between spin system and lattice.Comment: Manuscript (14 pages, 3 figures) and Supplementary Information (22
pages, 9 figures
Effect of novel technology-enabled multidimensional physical activity feedback in primary care patients at risk of chronic disease – the MIPACT study: A randomised controlled trial
© 2020 The Author(s). Background: Technological progress has enabled the provision of personalised feedback across multiple dimensions of physical activity that are important for health. Whether this multidimensional approach supports physical activity behaviour change has not yet been examined. Our objective was to examine the effectiveness of a novel digital system and app that provided multidimensional physical activity feedback combined with health trainer support in primary care patients identified as at risk of chronic disease. Methods: MIPACT was a parallel-group, randomised controlled trial that recruited patients at medium (≥10 and minimum clinically important difference, MCID). However, there was profound physical activity multidimensionality, and only a small proportion (5%) of patients had consistently low physical activity across all dimensions. Conclusion: In patients at risk of cardiovascular disease and/or type II diabetes, MIPACT did not increase mean physical activity. Using a sophisticated multidimensional digital approach revealed enormous heterogeneity in baseline physical activity in primary care patients, and practitioners may need to screen for low physical activity across dimensions rather than rely on disease-risk algorithms that are heavily influenced by age. Trial registration: This trial is registered with the ISRCTN registry (ISRCTN18008011; registration date 31 July 2013)
A limited-size ensemble of homogeneous CNN/LSTMs for high-performance word classification
The strength of long short-term memory neural networks (LSTMs) that have been applied is more located in handling sequences of variable length than in handling geometric variability of the image patterns. In this paper, an end-to-end convolutional LSTM neural network is used to handle both geometric variation and sequence variability. The best results for LSTMs are often based on large-scale training of an ensemble of network instances. We show that high performances can be reached on a common benchmark set by using proper data augmentation for just five such networks using a proper coding scheme and a proper voting scheme. The networks have similar architectures (convolutional neural network (CNN): five layers, bidirectional LSTM (BiLSTM): three layers followed by a connectionist temporal classification (CTC) processing step). The approach assumes differently scaled input images and different feature map sizes. Three datasets are used: the standard benchmark RIMES dataset (French); a historical handwritten dataset KdK (Dutch); the standard benchmark George Washington (GW) dataset (English). Final performance obtained for the word-recognition test of RIMES was 96.6%, a clear improvement over other state-of-the-art approaches which did not use a pre-trained network. On the KdK and GW datasets, our approach also shows good results. The proposed approach is deployed in the Monk search engine for historical-handwriting collections
Manipulating the alpha level cannot cure significance testing
We argue that making accept/reject decisions on scientific hypotheses, including a recent call for changing the canonical alpha level from p = 0.05 to p = 0.005, is deleterious for the finding of new discoveries and the progress of science. Given that blanket and variable alpha levels both are problematic, it is sensible to dispense with significance testing altogether. There are alternatives that address study design and sample size much more directly than significance testing does; but none of the statistical tools should be taken as the new magic method giving clear-cut mechanical answers. Inference should not be based on single studies at all, but on cumulative evidence from multiple independent studies. When evaluating the strength of the evidence, we should consider, for example, auxiliary assumptions, the strength of the experimental design, and implications for applications. To boil all this down to a binary decision based on a p-value threshold of 0.05, 0.01, 0.005, or anything else, is not acceptable
Adenyl cyclases and cAMP in plant signaling - past and present
In lower eukaryotes and animals 3'-5'-cyclic adenosine monophosphate (cAMP) and adenyl cyclases (ACs), enzymes that catalyse the formation of cAMP from ATP, have long been established as key components and second messengers in many signaling pathways. In contrast, in plants, both the presence and biological role of cAMP have been a matter of ongoing debate and some controversy. Here we shall focus firstly on the discovery of cellular cAMP in plants and evidence for a role of this second messenger in plant signal transduction. Secondly, we shall review current evidence of plant ACs, analyse aspects of their domain organisations and the biological roles of candidate molecules. In addition, we shall assess different approaches based on search motifs consisting of functionally assigned amino acids in the catalytic centre of annotated and/or experimentally tested nucleotide cyclases that can contribute to the identification of novel candidate molecules with AC activity such as F-box and TIR proteins
From research to practice: Lay adherence counsellors' fidelity to an evidence-based intervention for promoting adherence to antiretroviral treatment in the Western Cape, South Africa
In the Western Cape, lay counsellors are tasked
with supporting antiretroviral (ARV) adherence in public
healthcare clinics. Thirty-nine counsellors in 21 Cape
Town clinics were trained in Options for Health (Options),
an evidence-based intervention based on motivational
interviewing (MI). We evaluated counsellors’ ability to
deliver Options for addressing poor adherence following
5 days training. Audio-recordings of counselling sessions
collected following training were transcribed and translated
into English. Thirty-five transcripts of sessions conducted
by 35 counsellors were analysed for fidelity to the Options
protocol, and using the Motivational Interviewing
Treatment and Integrity (MITI) code. Counsellors struggled
with some of the strategies associated with MI, such as
assessing readiness-to-change and facilitating change talk.
Overall, counsellors failed to achieve proficiency in the
approach of MI according to the MITI. Counsellors were
able to negotiate realistic plans for addressing patients’
barriers to adherence. Further efforts aimed at strengthening
the ARV adherence counselling programme are
needed.Department of HE and Training approved lis
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