Volume 12 | Issue 1 |

 Abstract

In today's digital era, social media marketing has emerged as a powerful tool for promoting garment industry. The first step to understanding digital marketing versus social media marketing is learning what digital marketing entails. Digital marketing is an online marketing strategy that depends on digital technology, including the internet. Digital marketing includes social media marketing, video marketing, affiliate marketing, pay-per-click advertising, and more. Social media marketing is a type of digital marketing. This study will explore the significance of social media marketing in the growth of garments, highlighting its impact on brand awareness, customer engagement and sales. By leveraging the vast reach and targeting capabilities of social media platforms, garment industries can effectively connect with their target audience and establish a strong online presence.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital marketing, Social media marketing, Garments, Customer engagement.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture is a critical sector for sustaining human life, and the demand for increased crop yield, quality, and resource efficiency has never been higher. To address these challenges, this research presents a novel approach to crop growth monitoring through the integration of system adaptivity and edge Artificial Intelligence (AI) technologies. The proposed system leverages a combination of advanced sensors, edge computing, and AI algorithms to provide real-time monitoring and analysis of crop growth. Traditional approaches to crop monitoring rely heavily on centralized data processing, which can lead to latency issues, data security concerns, and increased operational costs. In contrast, our approach utilizes edge AI to process data directly at the source, reducing latency and ensuring data privacy.The system's adaptability is achieved through a smart system management mechanism that dynamically adjusts cryptographic functions based on security needs and resource constraints. This approach ensures that the system can safeguard sensitive sensor data without compromising performance or energy efficiency.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture, Crop growth monitoring, Edge Artificial Intelligence (AI), Advanced sensors, Edge computing, Adaptability

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Azo-Dyes, Toxicity, Treatment, P. aeruginosa, Biological Degradation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study was a in a descriptive mode in hospital. The study was conducted over a period of one year on 150 samples. Total 150 samples were enrolled in the study. Both serum and pleural fluid samples were collected and quantitatively analysed using semi-automated analyser. It was concluded that Biochemical parameters play important role in diagnosing Pleural effusions. These markers when used collectively their diagnostic efficacy is greatly increased. Patients with pleural effusion is to determine whether the effusion is a transudate or an exudate. An exudative effusion is diagnosed if the patient meets Light's criteria. The serum to pleural fluid protein or albumin gradients may help better categorize the occasional transudate misidentified as an exudate by these criteria. If the patient has a transudative effusion, therapy should be directed toward the underlying heart failure or cirrhosis. If the patient has an exudative effusion, attempts should be made to define the etiology. Pneumonia, cancer, tuberculosis, and pulmonary embolism account for most exudative effusions. Many pleural fluid tests are useful in the differential diagnosis of exudative effusions. The SEAG is superior to Light's criteria in identifying the transudative effusions. It is also observed that Light's criteria identified exudative effusions better than SEAG. The aim of present study was to analyse various biochemical parameters (LDH, pH, Glucose, Triglycerides, Cholesterol, Creatinine, Amylase and ADA) in pleural fluid and to correlate these Biochemical parameters with diagnosis of the patients.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pleura, Effusion, Transudate, Exudate, biochemical parameters

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Moringa?oleifera?is one of?the?popular?plants?that have?shown?significant?health?benefits.?Certainly,?preclinical?evidence?(predominantly?from?animal?models)?summarized?in the?current?review?supports?the?beneficial?effects of?Moringa?oleifera?leaf?extracts?in?combating?the?prominent?characteristic?features?of?diabetes?mellitus.?This?includes?effective?control of?blood?glucose or?insulin?levels,?enhancement?of insulin?tissue?sensitivity,?improvement?of blood?lipid?profiles,?and?protecting?against?organ?damage?under?sustained?conditions?of?hyperglycemia.?Interestingly,?as major?complications?implicated?in the?progression?of?diabetes,?including?organ?damage,?Moringa?oleifera?leaf and?seed?extracts?could?efficiently?block the?detrimental?effects of?oxidative?stress and?inflammation?in these?preclinical?models.?Notably,?these?extracts?(especially?leaf?extracts)?showed?enhanced?effects in?strengthening?intracellular?antioxidant?defences?like?catalase,?superoxide?dismutase,?and?glutathione?to lower?lipid?peroxidation?products?and reduce?prominent?pro-inflammatory?markers?such as?tumor?necrosis?factor-?,?interleukin?(1L)-?,?IL-6,?monocyte?chemoattractant?protein-1?and nitric?oxide?synthase.?From?animal?models of?diabetes,?the common?and?effective?dose of?leaf?extracts?of Moringa?oleifera?was?100-300?mg/kg,?within the?treatment?duration?of 2-8?weeks.?Whereas?supplementation?with?approximately?20 g leaf?powder of?Moringa?oleifera?for at?least 2?weeks?could?improve?postprandial?blood?glucose in?subjects?with?prediabetes?or?diabetes.?Although?limited?clinical?studies?have been?conducted?on the?antidiabetic?properties?of Moringa?oleifera,?current?findings?provide an?important?platform?for future?research?directed?at?developing?this plant?as a?functional?food to?manage?diabetic?complications

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

diabetes complications, oxidative stress, inflammation, moringa (Moringa oleifera), therapeutic targets

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The COVID-19 virus severely affected the educational system in all over the world. During the pandemic, most of the educational institutions were remained closed which degraded the learning level of the students at the school level. The objective of the present research article is to find out the impact of school closures on the learning level of school students in the Indian context. In this research article researchers have explored the secondary sources that demonstrated the pre-pandemic and after-pandemic learning levels of the students. After analyzing the secondary sources, investigators found the impact of school closures on the learning level; a significant decline was observed in the learning level of students at the school level after the pandemic period.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

learning level, pandemic, COVID-19, school closer, educational institution

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sentiment analysis is a popular topic in the big data era. In the business world, there is an increasing need for analyzing and characterizing the public's attitude towards new products. Therefore, sentiment analysis with real-time social data can be a useful tool for business marketing. In this project, a sentiment analysis was performed with real-time Social site data that contains customized keywords. There are three parts of this article: i) fetching real-time data online with keywords; ii) applying sentiment analysis with Twitter data and visualize each sentimental category with word clouds; iii) for ease of use, wrapping the sentiment analysis into an interactive dashboard, so users can customize keywords and get the real-time application data.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Detection, Word Processing & Analysis, Video Processing, Machine Learning.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Road traffic and maintenance induce chronic heavy metal pollution in the atmosphere and roadside soil. A portion of these pollutants could be dispersed into the air or deposited onto soils as a result of wind dispersion. The main objective of this research was to determine the level of Pb, Fe, Zn, Ni, Cd, Cr, and Cu in dust samples collected near industrial, residential, commercial and rural streets in the Jamshedpur city during March- April 2023. The concentrations of heavy metals were analyzed using an inductively coupled plasma-mass spectrometer (ICP-MS). The result shows metal concentrations Pb, Fe, Zn, Ni, Cd, Cr, and Cu are varied from 14.08-145.25 ng/m3, 129.30-687.09ng/m3, 51.21-302.01 ng/m3, 10.08-31.09 ng/m3, 29.52-165.28 ng/m3, 18.25-68.38 ng/m3 and 19.39-64.01 ng/m3 respectively. Overall, the rank of risk contribution to the local environments among the six heavy metals was Fe (375.54) > Zn (180.21) > Cd (98.48) > Pb (76.54) > Cu (41.48) > Cr (40.86) > Ni (18.90). These values were compared with results from various cities/countries world-wide. This study suggests that earth crust and anthropogenic activities such as motor vehicles were the main sources of heavy metal contamination in the study areas.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Heavy metals, Vehicle emission, Road dusts, ICP-MS.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This experimental study aims to investigate the effectiveness of bitumen emulsion in stabilizing the sub-base layer of road construction. The sub-base layer plays a crucial role in providing structural support and preventing deformation of the road surface. In this research, bitumen emulsion is introduced as a stabilizing agent to enhance the mechanical properties of the sub-base layer. The study involves laboratory testing of different sub-base materials treated with varying concentrations of bitumen emulsion. The mechanical characteristics, including strength, durability, and moisture susceptibility, are evaluated through standard testing procedures. The experimental results will provide insights into the optimal dosage of bitumen emulsion required for achieving the desired stabilization effects. The findings of this research have implications for the improvement of road construction practices, especially in areas where sub-base layer stability is a critical factor. The use of bitumen emulsion as a stabilizing agent offers a potential sustainable solution, contributing to the longevity and performance of road infrastructure.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition