Increased environmental consciousness and consideration, urbanization, and technological advancement have all resulted in a pressing need and opportunity to reconsider how cities are built and managed. During the previous few centuries, these interconnected issue developments have begun to coalesce under the new umbrella of Smart Sustainable Cities. The purpose of this chapter is to initiate and debate the concept of Smart Happy Sustainable Cities and smart material.The paper will also propose a definition of Smart Happy Sustainable Cities and discuss some of the key challenges associated with putting the concept into practice. While there are numerous definitions for smart cities and sustainable cities, the Combination........

KEYWORDS: Happy City, Computer aided architectural design (CAAD), Architectural representation, Computational design, Happiness in Communities

Pompe disease, also known as glycogenosis type 2 or acid maltase deficiency is a rare autosomal recessive disease that disables the heart and skeletal muscles. It is caused by more than 450 mutations in the GAA gene that makes acid alpha-glucosidase. 1 The enzymatic deficiency of alpha-glucosidase leads to the accumulation of glycogen within the lysosome, which leads to deterioration in cardiac and skeletal muscle, and fatality by cardiorespiratory failure.Pompe disease encompasses a spectrum of clinical manifestations which vary by age of onset, organ involvement and degree of myopathy2.

The selected experimental data from researches on performance of refrigeration systems handling NRF (Al2O3-R134a) with the ranges of dp= 20-70 nm, φ = 0.075-0.303%, V = 6.5-11 liter/hour, Te= 288-309 K and To = 294-306 K are used. The data are expressed through functional relationships of relative unitless parameters of COPr, kr, μr, ρr, cpr, h/dp, To/Te, φ, kp/kR.As a result of correlation trials Miscellaneous........

KEYWORDS: Nanorefrigerant, computational modelling, relative coefficient of performance, model, miscellaneous multiplier

The rapid growth of online social networks (OSNs) has been accompanied by a rise in cyberbullying — repeated, intentional harassment conducted through digital text, images, or comments — which has documented negative effects on victims' mental health and wellbeing. This paper presents a detailed technical treatment of a cyberbullying detection framework for online social networks, combining textpreprocessing, TF-IDF and lexicon-based feature representation, and supervised classification to flag bullying content for moderation review. Beyond a conventional system description, this paper critically reviews........

KEYWORDS: cyberbullying detection, online social networks, text classification, natural language processing, content moderation, sentiment analysis, machine learning.