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Multiplication is the key crucial operation in realizing digital signal processing (DSP) functions. It is accomplished by using diverse multiplier architectures. Multiplication operation is furthermost basic and normally used action in the central processing unit (CPU). The multiplication operation is the most fundamental and commonly performed activity in the central processing unit (CPU). An efficient multiplier design should have a high speed, small area, and a low power consumption. Compact, efficient multipliers with minimal power dissipation are needed. The proposed paper provides a thorough inspection of multipliers such as the Array multiplier, Booth multiplier, column bypass multiplier, Baugh-Wooley multiplier, and Vedic multiplier based on their operational activities and working, as well as their benefits and limits. A comparison of these multipliers' performance parameters such as speed, area, power consumption, quantum cost, garbage generation and circuit complexity.

In general, both women and men are to be treated the same in the social assessment. Women’s support in enhancing the life quality of men is significant. In today’s day-to-day life, anyone can witness women’s empowerment in all sectors but still, some women face various types of barriers. Either at home or even in the outside world women has to live with the problems of men. Feminist ideology has risen when women started to understand that their feelings and rights were not recognised. Hence in this research article, the poet Maadhumai’s “Ottrai Silambu” poem was taken and studied about the women’s stand.

Schizophrenia is a constant dysfunctional behavior which makes the individual hard to separate the genuine and incredible, and the individual can't think legitimately to have mental enthusiastic reactions, and to act typically in friendly circumstances. Schizophrenia has changed symptoms that for the most part start in early adulthood and as a rule go on all through life. Most patients have a background marked by conduct brokenness basically friendly and learning hardships. Demonstrative elements of schizophrenia incorporate hearable fantasies (an encounter including the obvious view of something not present) and dream (the activity of misdirecting or the condition misled). Setting and Design: This is a pre-experimental study evaluating the effectiveness of family psycho educational intervention conducted in selected psychiatric hospitals at Chennai, Tamil Nadu

Minimal power design is desirable for a range of applications, including the Internet of Things (IoT), quantum computing, and so on. The reversible logic approach is at the foundation of a new technique for designing minimal power digital logic circuits for quantum computing applications. The reversible logic circuit offers a whole new approach to quantum computer processing. Reversible logic gates-based devices will be in high demand for future computer technologies since they require less power. Reversible logic gates were used to design a ripple carry adder (RCA) and a ripple borrow subtractor (RBS), which were simulated in Verilog 2018.3 and coded in Verilog HDL.

Magnetic iron oxide nanoparticles (Cs-FeNPs) are increasingly being studied for potential anticancer applications to circumvent off-target cytotoxicity and other side effects from conventional chemotherapy. In this study chitosan aqueous extracts were used as natural stabilizers to synthesize Cs-FeNPs followed by a series of characterization experiments and in vitro anticancer evaluation. Morphological studies demonstrated that adding peel extract decreased the size of NPs with an average particle size below 100 nm. Cytotoxicity assay showed that the Cs-FeNPs were more reactive (IC50 29.759 µg/ml) against PC-3 cancer cell lines and normal Vero cell lines. Specifically, Cs-FeNPs displayed potent anticancer activities against PC-3 cell line. This study showed the characterization of eco-friendly synthesized Cs-FeNPs and their potential use as anticancer therapeutic agents against PC-3 cells.

In recent times online shopping has evolved rapidly, but finding a quality product in such a complex network is not a simple task. Internet reviews help users to find relevant items. But there is a high magnitude of fake internet reviews available online. So distinguishing fake and true reviews is an important task for both customers and suppliers. Because in the customer perspective they require a quality product and in the supplier perspective, they need to sell their product. Generally, positive reviews on a targeted product would increase its sales. To determine fake reviews this paper compares the reviews of several reviewers from Yelp dataset of restaurants and proposes a deep learning approach to detect fake reviews. The proposed deep learning model is tested with benchmarked datasets and results are evaluated. The experimental results show improved performance compared to the existing deep learning models.