Free spectral range electrical tuning of a high quality on-chip microcavity

Reconfigurable photonic circuits have applications ranging from next-generation computer architectures to quantum networks, coherent radar and optical metamaterials. However, complete reconfigurability is only currently practical on millimetre-scale device footprints. Here, we overcome this barrier by developing an on-chip high quality microcavity with resonances that can be electrically tuned across a full free spectral range (FSR). FSR tuning allows resonance with any source or emitter, or between any number of networked microcavities. We achieve it by integrating nanoelectronic actuation with strong optomechanical interactions that create a highly strain-dependent effective refractive index. This allows low voltages and sub-nanowatt power consumption. We demonstrate a basic reconfigurable photonic network, bringing the microcavity into resonance with an arbitrary mode of a microtoroidal optical cavity across a telecommunications fibre link. Our results have applications beyond photonic circuits, including widely tuneable integrated lasers, reconfigurable optical filters for telecommunications and astronomy, and on-chip sensor networks.Comment: Main text: 7 pages, 3 figures. Supplementary information: 7 pages, 9 figure

Healing LER using directed self assembly: treatment of EUVL resists with aqueous solutions of block copolymers

Overcoming the resolution-LER-sensitivity trade-off is a key challenge for the development of novel resists and processes that are able to achieve the ITRS targets for future lithography nodes. Here, we describe a process that treats lithographic patterns with aqueous solutions of block copolymers to facilitate a reduction in LER. A detailed understanding of parameters affecting adhesion and smoothing is gained by first investigating the behavior of the polymers on planar smooth and rough surfaces. Once healing was established in these model systems the methodology is tested on lithographically printed features where significant healing is observed, making this a promising technology for LER remediation

On the Importance and Applicability of Pre-Training for Federated Learning

Pre-training is prevalent in nowadays deep learning to improve the learned model's performance. However, in the literature on federated learning (FL), neural networks are mostly initialized with random weights. These attract our interest in conducting a systematic study to explore pre-training for FL. Across multiple visual recognition benchmarks, we found that pre-training can not only improve FL, but also close its accuracy gap to the counterpart centralized learning, especially in the challenging cases of non-IID clients' data. To make our findings applicable to situations where pre-trained models are not directly available, we explore pre-training with synthetic data or even with clients' data in a decentralized manner, and found that they can already improve FL notably. Interesting, many of the techniques we explore are complementary to each other to further boost the performance, and we view this as a critical result toward scaling up deep FL for real-world applications. We conclude our paper with an attempt to understand the effect of pre-training on FL. We found that pre-training enables the learned global models under different clients' data conditions to converge to the same loss basin, and makes global aggregation in FL more stable. Nevertheless, pre-training seems to not alleviate local model drifting, a fundamental problem in FL under non-IID data.Comment: Preprin

Vitexin attenuates smoke inhalation induced acute lung injury in rats by inhibiting oxidative stress via PKC β/p66Shc signaling pathway

Purpose: To investigate the protective effect of vitexin on smoke inhalation-induced acute lung injury (SI-ALI), and the underlying mechanism of action.Methods: The ALI rat model was established by inhalation of smoke in a closed smoke chamber. Survival rate, arterial blood gas analysis, wet-to-dry weight ratio of lung tissues, bronchoalveolar lavage fluid protein concentration, lung tissue histology, and oxidative stress and inflammation level were evaluated. Expressions of protein kinase C β (PKC β), p66Shc, and phosphorylated p66Shc were determined by western blot or quantitative reverse transcription-polymerase chain reaction.Results: Compared with smoke inhalation group, vitexin alleviated the decline in arterial partial pressure of oxygen (p < 0.05), reduced lung tissue exudation and pathological lung tissue damage, inhibited the expression of PKC β/p66Shc signaling pathway proteins, downregulated the level of oxidative stress and inflammation, and ultimately improved the survival rate in SI-ALI rats (p < 0.05).Conclusion: Vitexin attenuates SI-ALI in rats by alleviating oxidative stress via inhibition of PKC β/p66Shc signaling pathway. Thus, this compound is a potential agent for the treatment of SI-ALI

The roles of heat shock protein 70 (HSP70) and heat shock protein 90 (HSP90) in osmoregulatory and metabolic tissues of milkfish (Chanos chanos) under osmotic stress

As an euryhaline fish, milkfish was able to adapt to a wide range of environmental salinity. However, to improve the survival and health of the stressed milkfish, the roles of HSPs are needed to prevent some damages caused by salinity effects. Therefore, maintenance of osmotic homeostasis is very important for milkfish. The present study investigated the HSPs expression induced by hypotonic stress in gills, kidney (osmoregulatory organ) and liver (metabolic organ) of euryhaline milkfish. Since heat shock response is a predominant cellular stress response, two of its major components, heat shock protein 70 (HSP70) and 90 (HSP90) were examined in this study. Two major hsp genes were first identified by cloned from the transcriptome database. In addition, the protein expression were examined through seawater (SW; 35‰) and freshwater (FW) acclimation experiments (> 2 weeks). At the osmoregulatory organ (gill and kidney), the expression of gill HSP90 and 70 revealed upregulation in the FW group. While, kidney HSP90 and 70 was showed no significant different between FW and SW. On the other hand, the expression of HSP90 and 70 based on relative intensities of immunoreactive bands at liver organ was similar between the FW and SW. These findings demonstrated that compared to SW environment, the FW was more stressful to milkfish osmoregulation and effected significantly to osmoregulatory organ

Extending the scope of poly(styrene)-block-poly(methyl methacrylate) for directed self assembly

Directed self-assembly (DSA) is a promising technique for extending conventional lithographic techniques by being able to print features with critical dimensions under 10 nm. The most widely studied block copolymer system is polystyreneblock- polymethyl methacrylate (PS-b-PMMA). The system is well understood in terms of its synthesis, properties and performance in DSA. However, PS-b-PMMA also has a number of limitations that impact on its performance and hence scope of application. The primary limitation is the low Flory-Huggins polymer-polymer interaction parameter (Χ), which limits the size of features that can be printed by DSA. Another issue with block copolymers in general is that specific molecular weights need to be synthesized to achieve desired morphologies and feature sizes. We are exploring blending ionic liquid additiveswithPS-b-PMMAto increase the Χ parameter. This allows smaller feature sizes to be accessed by PS-b-PMMA. Depending on the amount of additive it is also possible to tune the domain size and the morphology of the systems. These findings may expand the scope of PS-b-PMMA for DSA