Wool Fabric with an Improved Durable Biological Resistance Using a Coumarin Derivative.

Wool is the most widely used proteinic natural fiber in the clothing industry by virtue of its versatile properties. Unfortunately, wool, as a natural fiber, is more susceptible to attack by microorganisms and moths, which may cause harm to the fiber and human health. That is why the antimicrobial and mothproof finishing of natural textiles is of prime importance to the textile and clothing industry.

Efficacy of Nonablative Bipolar Radiofrequency in the Treatment of Fingernail Psoriasis.

Background: Psoriasis is a common chronic systemic disease affecting the skin, nails, and joints. Nails are commonly associated with a greater severity of the disease. Radiofrequency (RF) is a nonionizing radiation that provides energy originating from electric current to generate heat inside the dermis with anti-inflammatory effects.

Synthesis of novel pyridine and pyrazolyl pyridine conjugates with potent cytotoxicity against HepG2 cancer cells as PIM-1 kinase inhibitors and caspase activators.

A novel series of nicotinonitrile and pyrazolyl nicotinonitrile were synthesized, and their PIM-1 kinase inhibitors and caspase activators were investigated. New Manich bases 6-8 were synthesized reaction of pyridine 4 with piperidine, dimethyl amine, and morpholine in the presence of formalin. On the other hand, the pyrazolyl analogues 10-12 were synthesized heterocyclization of acetohydrazide derivative 9 with acetylacetone, malononitrile, and ethyl cyanoacetate, respectively, in ethanol.

Assessment of Stress Distribution Around Traditional and Sleeve Fixed Partial Denture Designs: Finite Element Analysis.

Objectives:  The aim of this research is to evaluate/compare the use of traditional versus sleeve fixed partial denture (PD) designs made from different materials on supporting structures. The comparison included three- and four-unit PD cases.

Materials And Methods:  Four finite element models are used in the research.

An efficient neural network LEACH protocol to extended lifetime of wireless sensor networks.

This paper presents NN_ILEACH, a novel neural network-based routing protocol designed to enhance the energy efficiency and longevity of Wireless Sensor Networks (WSNs). By integrating the Energy Hole Removing Mechanism (EHORM) with a sophisticated neural network for cluster head selection, NN_ILEACH effectively addresses the energy depletion challenges associated with traditional protocols like LEACH and ILEACH. Our extensive simulations demonstrate that NN_ILEACH significantly outperforms these classical protocols.