A new class of organic nanoparticles (CN-MBE nanoparticles) with a mean diameter of ca. 30-40 nm, which exhibit a strongly enhanced fluorescence emission, were prepared by a simple reprecipitation method. CN-MBE (1-cyano-trans-1,2-bis-(4'-methylbiphenyl)ethylene) is very weakly fluorescent in solution, but the intensity is increased by almost 700 times in the nanoparticles. Enhanced emission in CN-MBE nanoparticles is attributed to the synergetic effect of intramolecular planarization and J-type aggregate formation (restricted excimer formation) in nanopaticles. On/off fluorescence switching for organic vapor was demonstrated with CN-MBE nanoparticles.
Flexible supercapacitor electrodes have been fabricated by simple fabrication technique using graphite nanoflakes on polymer lapping films as flexible substrate. An additional thin layer of conducting polymer polypyrrole over the electrode improved the surface conductivity and exhibited excellent electrochemical performances. Such capacitor films showed better energy density and power density with a maximum capacitance value of 37 mF cm(-2) in a half cell configuration using 1 M H2SO4 electrolyte, 23 mF cm(-2) in full cell, and 6 mF cm(-2) as planar cell configuration using poly(vinyl alcohol) (PVA)/phosphoric acid (H3PO4) solid state electrolyte. Moreover, the graphite nanoflakes/polypyrrole over polymer lapping film demonstrated good flexibility and cyclic stability.
Hypermetabolism in the prostate was incidentally detected in 1.5% of patients, and only 65.2% of these patients underwent further evaluation (DRE and/or serum PSA levels). Among cases of incidentally detected hypermetabolism in the prostate, patients with abnormal findings (DRE and/or PSA levels) showed high positivity by biopsy, and more than two-thirds of the positive biopsies showed significant prostate cancer. Therefore, patients with hypermetabolism in the prostate should not be ignored and should be secondarily evaluated by DRE and PSA level.
Introduction: Telephone-based telemedicine was temporarily permitted in Korea during the COVID-19 pandemic. The purpose of this study was to assess satisfaction with the telemedicine done during temporary hospital closing when in-person visits were not allowed due to in-hospital COVID-19 transmission. Methods: Survey questionnaires partially taken from a telehealth usability questionnaire (TUQ) were sent to 6,840 patients who used telephone-based telemedicine from February 24 to March 7, 2020. Questionnaires sent to patients and additionally created questionnaires to evaluate telemedicine were sent to medical staff (182 doctors and 138 nurses). Results: Response rates of patients and medical staff were 13.2% and 17.2%, respectively. Patients' satisfaction with telemedicine was significantly greater than medical staff's satisfaction for all five components taken from TUQ (all p = 0.000). In addition, created questionnaires showed good reliability, obtaining similar results between doctors and nurses (all p > 0.05). More than 85% of medical staff replied that telemedicine was needed in COVID-19, whereas more than 80% of them worried about incomplete assessment and communication of medical condition. Overall satisfaction with telemedicine by medical staff was 49.7%. The strength of telephone-based telemedicine was patients' convenience (53.4%). However, incomplete assessment of patients' condition (55.0%) was its weakness. Conclusion: Satisfaction with telephone-based telemedicine by patients was significantly greater than that by medical staff (doctors and nurses). Negative views for safety and inconvenience resulted in a greater proportion of dissatisfaction among medical staff. For safe application of telemedicine, medical staff insisted that developing a platform and creating guidelines should be needed.
A multichannel neural interface system is an important tool for various types of neuroscientific studies. For the electrical interface with a biological system, high-precision high-speed data recording and various types of stimulation capability are required. In addition, real-time signal processing is an important feature in the implementation of a real-time closed-loop system without unwanted substantial delay for feedback stimulation. Online spike sorting, the process of assigning neural spikes to an identified group of neurons or clusters, is a necessary step to make a closed-loop path in real time, but massive memory-space requirements commonly limit hardware implementations. Here, we present a 128-channel field-programmable gate array (FPGA)-based real-time closed-loop bidirectional neural interface system. The system supports 128 channels for simultaneous signal recording and eight selectable channels for stimulation. A modular 64-channel analog front-end (AFE) provides scalability and a parameterized specification of the AFE supports the recording of various electrophysiological signal types with 1.59 ± 0.76 root-mean-square noise. The stimulator supports both voltage-controlled and current-controlled arbitrarily shaped waveforms with the programmable amplitude and duration of pulse. An empirical algorithm for online real-time spike sorting is implemented in an FPGA. The spike-sorting is performed by template matching, and templates are created by an online real-time unsupervised learning process. A memory saving technique, called dynamic cache organizing, is proposed to reduce the memory requirement down to 6 kbit per channel and modular implementation improves the scalability for further extensions.
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