Ultrasensitive, high-dynamic-range and broadband strain sensing by time-of-flight detection with femtosecond-laser frequency combs

Ultrahigh-resolution optical strain sensors provide powerful tools in various scientific and engineering fields, ranging from long-baseline interferometers to civil and aerospace industries. Here we demonstrate an ultrahigh-resolution fibre strain sensing method by directly detecting the time-of-flight (TOF) change of the optical pulse train generated from a free-running passively mode-locked laser (MLL) frequency comb. We achieved a local strain resolution of 18 p{\epsilon}/Hz1/2 and 1.9 p{\epsilon}/Hz1/2 at 1 Hz and 3 kHz, respectively, with largedynamic range of >154 dB at 3 kHz. For remote-point sensing at 1-km distance, 80 p{\epsilon}/Hz1/2 (at 1 Hz) and 2.2 p{\epsilon}/Hz1/2 (at 3 kHz) resolution is demonstrated. While attaining both ultrahigh resolution and large dynamic range, the demonstrated method can be readily extended for multiple-point sensing as well by taking advantage of the broad optical comb spectra. These advantages may allow various applications of this sensor in geophysical science, structural health monitoring, and underwater science.Comment: 20 pages, 4 figure

Complete genome sequence of probiotic Lactobacillus johnsonii 7409N31 isolated from a healthy Hanwoo calf

Lactobacillus johnsonii 7409N31 was isolated from the feces of a healthy 11-day-old Hanwoo calf from a farm in Geochang-gun, Gyeongsangnam-do, Korea. The genome of the strain was completely sequenced using the PacBio RSII sequencing system, and it was confirmed that it was composed of one circular chromosome. The size of the entire genome was 2,198,442 bp, and it had 35.01 mol% guanine + cytosine (G + C) content and 2,222 protein-coding sequences, 24 rRNA, 3 ncRNA, and 112 tRNA genes. Strain 7409N31 possessed genes encoding enzymes involved in the hydrolysis of both fibrous and non-fibrous carbohydrates. These data provide a comprehensive theoretical understanding for developing industrial probiotic feed additives that improve nutrient digestibility

Clathrin-coated Pits are Shredded Organelles Presorting Receptors in the Plasma Membrane

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Suppression of EGFR activation by direct interaction with outer leaflet cholesterol

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Dimeric B2 Adrenergic Receptor Regulates the Basal Activity Subjected to Inverse Agonism

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Evaluation of Weather Information for Short-Term Wind Power Forecasting with Various Types of Models

The rising share of renewable energy in the energy mix brings with it new challenges such as power curtailment and lack of reliable large-scale energy grid. The forecasting of wind power generation for provision of flexibility, defined as the ability to absorb and manage fluctuations in the demand and supply by storing energy at times of surplus and releasing it when needed, is important. In this study, short-term forecasting models of wind power generation were developed using the conventional time-series method and hybrid models using support vector regression (SVR) based on rolling origin recalibration. For the application of the methodology, the meteorological database from Korea Meteorological Administration and actual operating data of a wind power turbine (2.3 MW) from 1 January to 31 December 2015 were used. The results showed that the proposed SVR model has higher forecasting accuracy than the existing time-series methods. In addition, the conventional time-series model has high accuracy under proper curation of wind turbine operation data. Therefore, the analysis results reveal that data curation and weather information are as important as the model for wind power forecasting

Evaluation of Weather Information for Short-Term Wind Power Forecasting with Various Types of Models

The rising share of renewable energy in the energy mix brings with it new challenges such as power curtailment and lack of reliable large-scale energy grid. The forecasting of wind power generation for provision of flexibility, defined as the ability to absorb and manage fluctuations in the demand and supply by storing energy at times of surplus and releasing it when needed, is important. In this study, short-term forecasting models of wind power generation were developed using the conventional time-series method and hybrid models using support vector regression (SVR) based on rolling origin recalibration. For the application of the methodology, the meteorological database from Korea Meteorological Administration and actual operating data of a wind power turbine (2.3 MW) from 1 January to 31 December 2015 were used. The results showed that the proposed SVR model has higher forecasting accuracy than the existing time-series methods. In addition, the conventional time-series model has high accuracy under proper curation of wind turbine operation data. Therefore, the analysis results reveal that data curation and weather information are as important as the model for wind power forecasting

A Standardized Phlorotannin Supplement Attenuates Caffeine-Induced Sleep Disruption in Mice

In our previous studies, a standardized phlorotannin (brown seaweed polyphenol) supplement (PS) exhibited sleep-promoting effects via type A γ-aminobutyric acid-benzodiazepine receptors in mice. In addition, in human clinical trials, it decreased wake after sleep onset in adults with sleep disturbance. In this follow-up study, we investigated whether PS attenuates caffeine-induced sleep disruption in mice. The effects of PS were evaluated in a caffeine model by analyzing sleep architecture based on electroencephalogram and electromyogram findings, and were compared with the effects of a well-known sedative-hypnotic drug zolpidem (ZPD). As expected, oral administration of caffeine (25 mg/kg) significantly increased sleep latency and decreased the amount of non-rapid eye movement sleep (NREMS). In the caffeine + PS and caffeine + ZPD groups, PS (500 mg/kg) attenuated caffeine-induced sleep disruption, and its effects were comparable with those of ZPD (10 mg/kg). In particular, PS inhibited the arousal effects of caffeine without change in delta activity during NREMS, whereas ZPD produced a decrease in the delta activity. Considering global trends in coffee and energy drink consumption, our finding suggest that PS may be useful to relieve transitory insomnia symptoms caused by caffeine consumption, unlike the prescription drug ZPD

(Fe, Ni, Co)9S8@CS catalyst decorated on N-doped carbon as an efficient electrocatalyst for oxygen evolution reaction

© 2021 John Wiley & Sons Ltd.Fe, Ni, and Co and their alloys are widely studied for oxygen evolution reaction and hydrogen evolution in electrocatalytic water splitting under alkaline conditions, and their pentlandite sulfide was found to enhance the catalytic activity for the reactions. In this study, the synthesis of pentlandite sulfide of Fe, Ni, and Co was tried by a ball milling and subsequent pyrolysis. It was proved that the ball milling method is a promising way for a pentlandite formation and simultaneous carbon encapsulation. An aniline monomer played a role of carbon source for carbon encapsulation, and ammonium persulfate provided sulfur for a sulfide formation. Three kinds of compounds were synthesized by varying the Ni/Co ratio, and their structural characteristics and electrochemical activity were investigated and compared each other. X-ray diffraction patterns showed that they consisted of pentlandite sulfide and metal alloy phase. Transmission electron microscopy revealed that nanoparticles enwrapped by carbon shell were uniformly distributed on N-doped carbon. Electrochemical activity was studied under alkaline condition, and the overpotential of 260 mV at 10 mA/cm2 was obtained in 1 M KOH solution for oxygen evolution reaction. After 500 cycles, the overpotential increased slightly to 310 mV. From this study, it was revealed that the electrochemical activity of (Fe, Ni, Co)9S8 depends on structural parameters not elemental composition.11Nsciescopu