We present an all-passive efficient KGW Raman laser with an external-cavity configuration in the 2 µm spectral regime. The Raman laser was pumped by a passively Q-switched Tm:YAP laser emitting at 1935 nm. Due to the bi-axial properties of the KGW crystal, the laser exhibits stimulated Raman emission at two separate spectral lines: 2272 nm and 2343 nm. The output energies achieved at these two lines are 340 µJ/pulse and 450 µJ/pulse, accordingly. The seed to Raman laser conversion efficiencies achieved of 19.2% and 23.5%, respectively, are comparable to actively Q-switched laser arrangements. To the best of our knowledge, this is the first time an efficient Raman laser in the 2 µm regime is demonstrated in a completely passive configuration.
Efficient Boltzmann-sampling using first-principles methods is challenging for extended systems due to the steep scaling of electronic structure methods with the system size. Stochastic approaches provide a gentler system-size dependency at the cost of introducing "noisy" forces, which serve to limit the efficiency of the sampling. In the first-order Langevin dynamics (FOLD), efficient sampling is achievable by combining a well-chosen preconditioning matrix S with a time-step-bias-mitigating propagator (Mazzola et al., Phys. Rev. Lett., 118, 015703 (2017)). However, when forces are noisy, S is set equal to the force-covariance matrix, a procedure which severely limits the efficiency and the stability of the sampling. Here, we develop a new, general, optimal, and stable sampling approach for FOLD under noisy forces. We apply it for silicon nanocrystals treated with stochastic density functional theory and show efficiency improvements by an order-of-magnitude.
Electrochromic smart windows, with the ability to dynamically modulate thermal radiation transmission, are the key technologies to preserve energy expenditure for indoor lighting and air-conditioning. Despite receiving numerous exertions on design and fabrication technique, smart windows have rarely been commercially employed in the building industry due to unreliable lifetime, poor heat switching performance as well as high fabrication costs. Herein, we introduce a novel strategy in designing smart glass device, which focuses on the development of functionalized MxSnO2 nano-frameworks for electrochromic coating. The hybrid structures based on such nano-frameworks do not change the amorphous nature of electrodeposited tungsten trioxide (ɑ-WO3) layer and therefore are able to preserve its excellent electrochromic properties. Novel hybrid nano-structures of MxSnO2/ɑ-WO3 are able to encompass all desired features of a smart window, including the ability to block more than 95% NIR radiation in colored state while still allow about 80% of visible light transmittance in bleached state, rapid electro-optical response time of about 10 s and improved coloration efficiencies. More importantly, the advanced MxSnO2/ɑ-WO3 nanostructures can also retain their structure and functionality for at least 1000 switching cycles due to the enhanced binding strength. In addition, the synthetic recipe of such functionalized nano-framework is facile and cost-effective, enabling the fabrication on any template type and size.
Kai Hwa Chew, Yousef Farraj, and Shlomo Magdassi. 2020. “Electroless Plating with Copper Complex Ink as a Seed.” In 2020 IEEE 22nd Electronics Packaging Technology Conference, EPTC 2020, Pp. 36 - 40. Institute of Electrical and Electronics Engineers Inc. Abstract
Electroless or electrolytic deposition processes require the use of a very costly catalyst, usually palladium, as a seed material. Here we present the use of a copper complex as a very efficient replacement for the conventional catalysts, which can be directly printed by various technologies such as screen, gravure, and inkjet, on both 2D and 3D substrates. The copper complex can be reduced to pure copper upon short exposure to low-temperature plasma, by heating under inert atmosphere or via photonic sintering. By combining the complex with electroless plating (EP), a resistivity as low as 2.38.cm which corresponds to 72% conductivity of bulk copper can be achieved
In this article, we analyze UK global health policy in the light of the 2014 Ebola epidemic. Specifically, we focus on the UK government’s intervention in the epidemic, reflections on the UK’s response in parliamentary committees and government-sponsored forums, and subsequent UK global health policy changes. Post-Ebola, we argue, UK global health policy turned into a pursuit of global health emergency-preparedness through development. This, we further suggest, resulted from what we identify as the specific structure of the UK’s emergency-preparedness configuration that creates a ‘spill-over’ between the immediate event (of emergency) and future preparedness. This configuration transmits problems between different temporalities – allowing immediate, urgent problems to become problems of future uncertainty (and future uncertainties to be enacted as urgent problems). In activating emergencypreparedness, furthermore, self-scrutiny is triggered – prompting the UK to assume responsibility for problems identified as threats regardless of their point of origin, thus internalizing external problems.
Empathy, broadly defined as the ability to understand the other and to share others’ emotions, motivates prosocial behavior and underlies successful interpersonal relations. Dysfunctions in this ability may cause fundamental difficulties in social communication. Empathy has been measured in various ways, from self-report questionnaires to laboratory objective performance tests. Empathic accuracy (EA), i.e., the ability to accurately empathize, is measured using more complex and ecological paradigms, such as asking participants to infer filmed interactions, or having people narrate personal emotional stories then assessing the correspondence between the perceiver and the target of empathy as the criteria for empathic ability. This measure is particularly useful in the study of clinical populations, where deconstructing the multifaceted concept of empathy may contribute to a more complete understanding of specific clinical profiles. This paper presents a scoping review of the literature on EA in clinical populations, and on EA and clinical traits and states in nonclinical or high-risk populations. Following an exhaustive literature search, 34 studies were found eligible to be included in this review. The largest category was studies focused on EA in people with schizophrenia (31%; 11 papers), followed by studies focused on EA in autism spectrum disorders (ASD) and autistic traits in a nonclinical population (22%; 8 papers). Studies were also found on EA and depression tendencies, psychopathy, social anxiety, behavior disorders, and personality disorders, and a few other clinical conditions. The included studies varied on research aims, designs, sample sizes, and male:female ratios. The overall synthesized results suggest that EA is reduced in schizophrenia and ASD. In other clinical populations, the number of studies was very limited. We urge researchers to further examine EA in these less-studied populations. The review reveals a general underrepresentation of female participants in studies on EA in clinical populations. We suggest that future research address understudied clinical populations, such as those diagnosed with psychopathy. Subject, target, and situational variables should also be considered, with special attention to gender differences (and similarities), the association between EA abilities and adaptive functioning, and the study of individuals with clinical conditions as targets, not just observers, in EA tasks.
Precipitation extremes and associated hydrological hazards pose a significant global risk to society and economy. To be effective, mitigation strategies require the best possible estimation of the intensity and frequency of precipitation extremes. Traditional approaches to precipitation frequency analysis rely on long-term records from in-situ observations, which are limited in terms of global coverage. Satellite-based precipitation products provide global coverage, but errors in these estimates may lead to large biases in the quantification of extremes. Previous studies have demonstrated the ability of the novel Metastatistical Extreme Value Distribution (MEVD) framework to provide robust estimates of high quantiles in the presence of short-term data records and the uncertainties typical of remote sensing precipitation products. Here, we evaluate MEVD-based precipitation frequency analyses for four widely used quasi-global precipitation products (IMERG-v6, GSMaP-v6, CMORPH-v1.0, and MSWEP-v2) over high-density gauge networks in five hydroclimatic regions (Austria, Italy, Florida, Texas, and Arizona). We show dependence of MEVD-based estimation error on the characteristics of each dataset and the hydroclimatic region. Additionally, we evaluate the sub-grid variability of extreme precipitation and demonstrate the impact of spatial scale mismatch (that is, single in-situ gauge versus satellite pixel) on the frequency analysis of extremes. This work provides an assessment of the use of MEVD for estimating precipitation extremes from globally available datasets and an understanding of the variability of sub-daily precipitation extremes in different hydroclimatic regions of the world.
