Lithium-ion batteries are commonly used in electric vehicles, mobile phones, and laptops. These demonstrate several advantages, such as environmental friendliness, high energy density, long life. However, battery overcharging overdischarging may occur if the not monitored continuously. Overcharging causes fire explosion casualties, a reduction capacity In addition, internal resistance of varies...

In the title compound, [Mn(NO(3))(2)(C(7)H(9)NO)(2)], the Mn(II) atom (site symmetry 2) is coordinated by two N,O-bidentate (2-amino-phen-yl)methanol ligands and two monodentate nitrate anions in a distorted cis-MnN(2)O(4) octa-hedral coordination geometry. In the crystal, N-H⋯O, O-H⋯O and C-H⋯O hydrogen bonds help to establish the packing.

The N-linked oligosaccharides from baker's yeast carboxypeptidase Y were analyzed by 1H NMR and specific mannosidase digestion and found to be identical to those from the Saccharomyces cerevisiae mnn9 mutant bulk mannoprotein. The results support the view that the mnn mutants make oligosaccharides that are a true reflection of the normal biosynthetic pathway and confirm that a recently revised ...

In the title complex, [Mn(CHO(2))(C(12)H(8)N(2))(2)]ClO(4), the Mn(II) cation is chelated by two 1,10-phenanthroline (phen) ligands and one formate anion in a distorted MnN(4)O(2) octa-hedral geometry. The two phen planes are oriented at a dihedral angle of 57.48 (11)°. The perchlorate anion links with the Mn complex cation via weak C-H⋯O hydrogen bonding.

The rapid growth and uptake of network-based communication technologies have made cybersecurity a significant challenge as the number cyber-attacks is also increasing. A detection systems are used in an attempt to detect known attacks using signatures network traffic. In recent years, researchers different machine learning methods without relying on those signatures. generally high false-positi...

In this paper, we present a new kind of learning implementation to recognize the patterns using the concept of Mirroring Neural Network (MNN) which can extract information from distinct sensory input patterns and perform pattern recognition tasks. It is also capable of being used as an advanced associative memory wherein image data is associated with voice inputs in an unsupervised manner. Sinc...

Physiological studies suggest that the integration of neural circuits and biomechanics (e.g., muscles) is a key for animals to achieve robust and efficient locomotion over challenging surfaces. Inspired by these studies, we present a neuromechanical controller of a hexapod robot for walking on soft elastic and loose surfaces. It consists of a modular neural network (MNN) and virtual agonist-ant...