Valproate Administration to Adult 5xFAD Mice Upregulates Expression of Neprilysin and Improves Olfaction and Memory.

It is well known that the development of neurodegeneration, and especially Alzheimer's disease (AD), is often accompanied by impaired olfaction which precedes memory loss. A neuropeptidase neprilysin (NEP)-a principal amyloid-degrading enzyme in the brain-was also shown to be involved in olfactory signalling. Previously we have demonstrated that 5xFAD mice develop olfactory deficit by the age of 6 months which correlated with reduced NEP expression in the brain areas involved in olfactory signalling.

A Novel Method to Inspect 3D Ball Joint Socket Products Using 2D Convolutional Neural Network with Spatial and Channel Attention.

Product defect inspections are extremely important for industrial manufacturing processes. It is necessary to develop a special inspection system for each industrial product due to their complexity and diversity. Even though high-precision 3D cameras are usually used to acquire data to inspect 3D objects, it is hard to use them in real-time defect inspection systems due to their high price and long processing time.

Zernike Moment Based Classification of Cosmic Ray Candidate Hits from CMOS Sensors.

Reliable tools for artefact rejection and signal classification are a must for cosmic ray detection experiments based on CMOS technology. In this paper, we analyse the fitness of several feature-based statistical classifiers for the classification of particle candidate hits in four categories: spots, tracks, worms and artefacts. We use Zernike moments of the image function as feature carriers and propose a preprocessing and denoising scheme to make the feature extraction more efficient.

Age and Gender Recognition Using a Convolutional Neural Network with a Specially Designed Multi-Attention Module through Speech Spectrograms.

Speech signals are being used as a primary input source in human-computer interaction (HCI) to develop several applications, such as automatic speech recognition (ASR), speech emotion recognition (SER), gender, and age recognition. Classifying speakers according to their age and gender is a challenging task in speech processing owing to the disability of the current methods of extracting salient high-level speech features and classification models. To address these problems, we introduce a novel end-to-end age and gender recognition convolutional neural network (CNN) with a specially designed multi-attention module (MAM) from speech signals.

[Role of biomarkers of acute kidney damage during lithotripsy of high-density stones].

Aim: To obtain the information about functional state of kidneys in patients with urolithiasis before and after treatment, as well as to study the damaging effect of different types of energy used for fragmentation of high-density stones.

Materials And Methods: A total of 105 patients aged from 25 to 62 years with high-density stones were undergone to lithotripsy. In Group 1 (n=38), Group 2 (n=32) and Group 3 (n=35) contact laser lithotripsy, contact ultrasound lithotripsy and extracorporeal shock-wave lithotripsy was used, respectively.