A Comparative Review on ALU using CMOS and GDI techniques for Power Dissipation and Propagation Delay

Arithmetic and Logic Circuits are to be designed with less power, compact size, less propagation delay in this fast growing era of technology. Arithmetic operations are indispensable and the basic functions for any high speed low power applications like digital signal processing, microprocessors, image processing, etc. Consumption of power is the major issue in designing these circuits. Also the number of transistors required is also the one of the issues in designing the circuits. To minimize the transistors required in designing the circuits and to reduce the power consumption of the circuits, the authors have referred some techniques to overcome these problems in this paper. By reviewing all these techniques, the authors try to implement the GDI technique to reduce the power consumption and transistors count or the area required to design the circuits

Neuromatch Academy: a 3-week, online summer school in computational neuroscience

Neuromatch Academy (https://academy.neuromatch.io; (van Viegen et al., 2021)) was designed as an online summer school to cover the basics of computational neuroscience in three weeks. The materials cover dominant and emerging computational neuroscience tools, how they complement one another, and specifically focus on how they can help us to better understand how the brain functions. An original component of the materials is its focus on modeling choices, i.e. how do we choose the right approach, how do we build models, and how can we evaluate models to determine if they provide real (meaningful) insight. This meta-modeling component of the instructional materials asks what questions can be answered by different techniques, and how to apply them meaningfully to get insight about brain function

Phytochemical screening and cytotoxic activity of a moss: Barbula javanica Dozy & Molk.

In the kingdom Plantae, bryophytes have the second-largest taxonomic group. These bryophytes are very limited and dispersed, so studies are conducted to understand their chemical composition. In this study, Total phenolic content (TPC), Total flavonoid content (TFC), Gas-chromatography and Mass spectroscopy (GC–MS) analysis, and cytotoxic activities of different extracts from B. javanica have been tested. TPC and TFC showed higher yields in methanol than in n-hexane. It has also demonstrated six phytoconstituents in methanolic extracts, and cytotoxicity activity has been tested in which B. javanica depending on dose, had shown an antiproliferative effect on CRC cells. This present study reviews existing research and recommends additional studies to assess the cytotoxic effects of bryophytes

A Study on Calories Burnt Prediction Using Machine Learning

In this growing technological era, People are less aware of their health and mental stability. Due to lack of time, they intake more junk food than healthy options, which leads to an increase in the total calorie rate in their body. which is a major cause of obesity a calorie is the rate of energy stored and energy expenditure. People nowadays want quick solutions to every problem they want to exercise less and get more results, so to check the level of improvement and the burnt calories level after exercise in the human body we came up with this machine Learning System which takes some attributes as input and gives approximate calories burnt value which will motivate people to do more exercise and will show their daily growth The project is nourished with more than 15,000 data and its MAE (Mean Absolute error) is 1.48 which will enhance over time for better Results

From Waste Pickers to Producers: An Inclusive Circular Economy Solution through Development of Cooperatives in Waste Management

The world’s global plastics waste crisis demands policy coordination and technological solutions to improve waste management systems, and organizations worldwide have created momentum around the concept of a circular economy. This paper advances a holistic, inclusive circular economy framework that aims to empower waste pickers with the following basic pillars: (1) build collaborative networks of stakeholders to enable inclusion of waste pickers; (2) establish cooperative enterprise models to integrate waste pickers into the formal economy; (3) build waste pickers’ technical skills and capacity for entrepreneurship; and (4) provide access to technologies and markets that enable waste pickers to manufacture upcycled products

Gas chromatography-mass spectroscopic profiling and cytotoxic activity of Riccia billardieri Mont. & nees (Bryophyta: Liverwort)

Liverworts are a highly diverse group of bryophytes containing flavonoids and polyphenols. The significance of liverworts in therapeutic applications has recently been highlighted due to their antiviral and cytotoxic properties. This study has undertaken an effort to identify the phytochemical profiling (total phenolic and flavonoid content) of liverwort (Riccia billardieri) in Rajasthan. A wide range of botanical elements was predicted by gas chromatography-mass spectroscopy, and the resultant profiles were analyzed for potential therapeutic properties against colorectal cancer

Research Article Phytochemical Screening and Antioxidant potential of Plagiochasma appendiculatum Lehm. & Lindenb. and Sphagnum fimbriatum Wilson

In recent time bryophytes are gaining attention in terms of their unique phytochemistry. They can generate a wide range of bioactive phytochemicals. Though many of the bryophytes have been evaluated for this aspect yet majority of them are unexplored regarding their phytochemistry and bioactive potential. Hence, in present attempt 2 commonly growing species of bryophytes, viz., Plagiochasma appendiculatum (thalloid liverwort) and Sphagnum fimbriatum (moss) were evaluated for their phytochemical profiling using Folin-Ciocalteau and aluminium colorimetric methods. While antioxidant activity of selected species was evaluated by DPPH and NOSA. It was found that these species have higher levels of total phenols and flavonoids and have good antioxidant potential. Further, to check their possible role as antimicrobial agents, the plant extracts were tested against selected fungal and bacterial strains. The results suggested that these 2 bryophyte species have substantial antifungal and antibacterial activities. Based on this study, these plants appear as a good contender to evaluate further for future herbal formulations

Plasmonics Stimulated Enhanced Performance MoS₂/WO₃ Heterojunction Based Broadband Self-Powered Photodetector

The demand for broadband photodetectors that span the UV, visible, and NIR spectrum is ever-increasing due to their critical role in numerous applications. This research explores the incorporation of gold nanoparticles (Au-NPs) to harness localized surface plasmon resonance (LSPR) effects in the development of high-performance photodetectors. Our study introduces a unique MoS2/WO3 heterojunction, previously unexplored. This novel approach extends the photodetection range from UV to NIR, bridging the inherent spectral limits of tungsten trioxide (WO3) in the UV to visible and molybdenum disulfide (MoS2) in the visible to NIR regions. Notably, the heterojunction demonstrates self-biasing characteristics. Furthermore, the incorporation of gold nanoparticles enhances performance, yielding a incredible ∼200% enhancement in responsivity. Upon optical illumination of 455 nm at 2 V applied bias and 10 μW optical power, MoS2/WO3 and Au-MoS2/WO3 photodetectors exhibited high responsivity of 370 and 720 mAW–1, respectively. The Au-MoS2/WO3 device displayed remarkable external quantum efficiency of 226% and noise equivalent power as 5.49 × 10–10 WHz–1/2. The Au-MoS2/WO3 device demonstrates improved rise and fall times, measuring around 55 and 48 ms, respectively. These values represent a notable enhancement of 20.49% and 30.10% for the rise and fall times compared to the MoS2/WO3 device. The study comprehensively characterizes their structural, electrical, and optical attributes and assesses their photodetection performance across the UV, visible, and NIR regions. Our findings highlight the potential of these devices to revolutionize photodetection technologies and catalyze innovation in diverse applications