Understanding the Role of Potential and Cation Effect on Electrocatalytic CO Reduction in All-Alkynyl-Protected Ag Nanoclusters.

Atomically precise metal nanoclusters (NCs) have emerged as an intriguing class of model catalysts for electrochemical CO reduction reactions (CORR). However, the interplay between the interface environment (e.g.

On the similarities of representations in artificial and brain neural networks for speech recognition.

Introduction: In recent years, machines powered by deep learning have achieved near-human levels of performance in speech recognition. The fields of artificial intelligence and cognitive neuroscience have finally reached a similar level of performance, despite their huge differences in implementation, and so deep learning models can-in principle-serve as candidates for mechanistic models of the human auditory system.

Methods: Utilizing high-performance automatic speech recognition systems, and advanced non-invasive human neuroimaging technology such as magnetoencephalography and multivariate pattern-information analysis, the current study aimed to relate machine-learned representations of speech to recorded human brain representations of the same speech.

[Establishment of a CFTR-based detection method for the second messenger cAMP in the cytoplasm].

To establish a detection method based on Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) that can sensitively detect the second messenger cyclic AMP (cAMP) in the cytoplasm. The eukaryotic expression vectors of CFTR and YFP-H148Q / I152L were constructed respectively. FRT cells co-expressing CFTR and YFP-H148Q / I152L were obtained by liposome transfection.

Relating dynamic brain states to dynamic machine states: Human and machine solutions to the speech recognition problem.

There is widespread interest in the relationship between the neurobiological systems supporting human cognition and emerging computational systems capable of emulating these capacities. Human speech comprehension, poorly understood as a neurobiological process, is an important case in point. Automatic Speech Recognition (ASR) systems with near-human levels of performance are now available, which provide a computationally explicit solution for the recognition of words in continuous speech.

Syllable language models for Mandarin speech recognition: exploiting character language models.

Mandarin Chinese is based on characters which are syllabic in nature and morphological in meaning. All spoken languages have syllabiotactic rules which govern the construction of syllables and their allowed sequences. These constraints are not as restrictive as those learned from word sequences, but they can provide additional useful linguistic information.

[Pilot study of treating syphilitic uveitis with vitrectomy--one case report].

Purpose: to study the possibility of treating syphilitic uveitis with vitrectomy, and observe its safety as well as validity.

Method: case observation and literature review.

Results: one bilateral syphilitic uveitis was treated with anti-inflammation and anti-syphilis treatment.