Automatic recognition of arrhythmias is particularly important in the diagnosis of heart diseases. This study presents an electrocardiogram (ECG) recognition system based on multi-domain feature extraction to classify ECG beats. An improved wavelet threshold method for ECG signal pre-processing is applied to remove noise interference. A novel multi-domain feature extraction method is proposed; this method employs kernel-independent component analysis in nonlinear feature extraction and uses discrete wavelet transform to extract frequency domain features. The proposed system utilises a support vector machine classifier optimized with a genetic algorithm to recognize different types of heartbeats. An ECG acquisition experimental platform, in which ECG beats are collected as ECG data for classification, is constructed to demonstrate the effectiveness of the system in ECG beat classification. The presented system, when applied to the MIT-BIH arrhythmia database, achieves a high classification accuracy of 98.8%. Experimental results based on the ECG acquisition experimental platform show that the system obtains a satisfactory classification accuracy of 97.3% and is able to classify ECG beats efficiently for the automatic identification of cardiac arrhythmias.

Tellurene, a two-dimensional (2D) atomic crystal, has been suggested to be a promising channel material. To construct high-performance tellurene-based field effect transistors, a suitable metal electrode should be used. It is desirable that the metal electrode forms an Ohmic contact with tellurene or at least the corresponding contact only has a low Schottky barrier. In this study, properties of interfaces between α-tellurene and a series of 2D metals are explored via first-principles calculations. It is revealed that NbS 2 and TaS 2 can form p-type Ohmic contacts with monolayer α-tellurene. OH-terminated M 3 C 2 (M = Hf, Nb, Ti, V, Zr) can be adopted to form n-type Ohmic contacts. Interlayer spacing can be used as an effective method to tune the tunneling probability. These findings provide useful insights in understanding the α-Te/2D metal interface and give a practical guidance on electrode selection.

Elizabethkingia anophelis, originally discovered from Anopheles mosquito gut, is an emerging pathogen, especially in immunocompromised patients. We isolated two strains of E. anophelis from two separate patients with multiple organ dysfunction syndrome and lower respiratory tract infection. In this paper, we reviewed the status of E. anophelis infection and its antibiotics resistance from reported cases.

Chip-scale demonstration of hybrid III-V/silicon photonic Chip-scale demonstration of hybrid III-V/silicon photonic Chip-scale demonstration of hybrid III-V/silicon photonic integration for an FBG Chip-scale demonstration of hybrid III-V/silicon photonic integration for an FBG interrogator interrogator

Two experiments were conducted to investigate the extent to which the lexical tone can affect spoken-word recognition in Chinese using a printed-word paradigm. Participants were presented with a visual display of four words-namely, a target word (e.g., 象限, xiang4xian4, "quadrant"), a tone-consistent phonological competitor (e.g., 相册, xiang4ce4, "photo album"), or a tone-inconsistent phonological competitor (e.g., 香菜, xiang1cai4, "coriander"), and two unrelated distractors. Simultaneously, they were asked to listen to a spoken target word presented in isolation (Experiment 1) or embedded in neutral/predictive sentence contexts (Experiment 2), and then click on the target word on the screen. Results showed significant phonological competitor effects (i.e., the fixation proportion on the phonological competitor was higher than that on the distractors) under both tone conditions. Specifically, a larger phonological competitor effect was observed in the tone-consistent condition than in the toneinconsistent condition when the spoken word was presented in isolation and the neutral sentence contexts. This finding suggests a partial role of lexical tone in constraining spoken-word recognition. However, when embedded in a predictive sentence context, the phonological competitor effect was only observed in the tone-consistent condition and absent in the tone-inconsistent condition. This result indicates that the predictive sentence context can strengthen the role of lexical tone.Keywords Lexical tone . Spoken-word recognition . Sentence context . Chinese . Eye tracking Most spoken-word recognition models agree that with the unfolding of spoken stimuli, more than one word candidate sharing partial phonemic information with the target will be shortly activated for competition (Marslen-Wilson & Tyler, 1980;McClelland & Elman, 1986). For example, when listening to a spoken word "beaker", lexical candidates sharing a similar initial syllable (e.g., "beetle", "beef", "bee") will be

To enable the development of all-solid-state batteries, an inorganic solid-state electrolyte should demonstrate high ionic conductivity (i.e., > 1 mS cm−1 at 25 °C), compressibility (e.g., > 90% density under 250−350 MPa), and cost-effectiveness (e.g., < $50/kg). Here we report the development and preparation of Li1.75ZrCl4.75O0.5 oxychloride solid-state electrolyte that demonstrates an ionic conductivity of 2.42 mS cm−1 at 25 °C, a compressibility enabling 94.2% density under 300 MPa and an estimated raw materials cost of $11.60/kg. As proof of concept, the Li1.75ZrCl4.75O0.5 is tested in combination with a LiNi0.8Mn0.1Co0.1O2-based positive electrode and a Li6PS5Cl-coated Li-In negative electrode in lab-scale cell configuration. This all-solid-state cell delivers a discharge capacity retention of 70.34% (final discharge capacity of 70.2 mAh g−1) after 2082 cycles at 1 A g−1, 25 °C and 1.5 tons of stacking pressure.

Photocatalysts which can efficiently promote water splitting to generate hydrogen without using sacrificial reagents and cocatalysts are highly desirable. In this study, on the basis of first-principles calculations, we predict that a series of Ni-based Janus monolayers with a pentagonal structure are promising photocatalysts, where the hydrogen evolution reaction can solely be driven by photon-excited electrons. The stability of the investigated monolayers is affirmed through energetic analysis, phonon band structure calculations, and ab initio molecular dynamics simulations. From the perspective of the photocatalytic process, their high absorption coefficients (∼10 5 cm −1 ) guarantee strong light absorption, their intrinsic electric fields generated by the Janus structure are beneficial to charge transfer, and their high catalytic activity speeds up the hydrogen evolution reaction. Moreover, strain engineering turns out to be effective for tuning band alignment and improving the catalytic performance. This study provides a new type of photocatalyst with high solar-to-hydrogen efficiency.

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