Volume 11 | Issue 5 |

 Abstract

Abstract-The major objective of my study paper, " The effect of mobile technology on social interaction and interpersonal relationships," is to show how cellphones in particular have impacted our human traits and interpersonal interactions. Mobile technology is used by almost everyone in the world for a variety of purposes, and it has greatly improved our quality of life. The development of technology has, however, also had an impact on how we interact socially and communicate with one another. The goal of this study is to determine whether or not mobile technology affects interpersonal behaviour and face-to-face communication in positive or bad ways. The findings of my poll confirm my intended research topic, which is the influence of mobile technology.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mobile technology, social interaction, interpersonal relationships.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Children below the age of 18 years account for nearly 40 per cent of India's population (Rustagi, Mishra and Mehta, 2011). Enabling all children of India to realize their full creative potential is of utmost importance for India's sustainable economic growth to join in club of developed countries. It has been observed that there is big chunk of children who are not equally benefitted of tremendous economic growth India has witnessed since independence. Large chunk of this lot comes from extreme marginalized sections of society especially tribes which already has been substantiated by studies conducted on tribes and tribal children. For instance, Rustagi, Mishra and Mehta (2011), in their studies titled Scheduled Tribe Children in India: Multiple Deprivations and Locational Disadvantage stated that tens of millions tribal children still facing the basic challenges of survival and healthy development. Tribal children received especially with regard to concerns such as education, nutrition, mortality, and so on. In this light, this research paper delineates about socio-economic status of Tribal children of Patiala city. This paper illustrates socio-economic conditions of tribal children through multiple quantitative and qualitative indicators like education, age group, religion, income, occupation, type of family and type of houses. An attempt has been made to picturise multiple deprivations faced by tribal children, which ultimately affects tribal communities in India (Ibid). The tribal children of 06 to 15 years age group in Patiala city of Punjab make the universe of this study. In the process of interviewing the respondents, census method was used in the selection of tribal settlements and households. Purposive sampling was used to select the respondents (children belonging to 06 to 15 years age group). The tools and techniques which were used for data collection were interview schedule and non-participant observation. The interview schedule was administered to 366 tribal children of 06 to 15 years age group. In this research work, social investigation was conducted by two methods- census and purposive Sampling.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Socio-economic, purposive sampling, education, occupation etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this research paper, we explore the impact of conformal and conventional cooling channels on thermally induced residual stress components in injection molding. The study reveals that conformal cooling channels experience lower stress components across all directions (X, Y, and Z) compared to conventional channels, indicating better dimensional stability and reduced warpage. Additionally, conformal cooling channels exhibit lower shear stress values in the XY, YZ, and ZX planes, which may result in improved part quality and reduced susceptibility to defects caused by high shear stresses. The Von Mises stress, an indicator of the overall stress experienced by the material, is also found to be lower for conformal cooling channels, suggesting better stress management and enhanced part quality compared to conventional cooling channels. The research findings emphasize the importance of conformal cooling technology in addressing stress-related challenges in injection molding.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

conventional channels, stress components, injection molding, conformal cooling, shear stresses and Von Mises stress

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The present research contrasts the editing programmes Adobe Premiere Pro CC and Final Cut Pro. Their unique feature sets serve as the main basis for assessing these two video editors. Since every video editor differs in the platform on which it operates and the makeup of its components, this provides the most insightful comparative analysis. As of the time of this writing, everyone is aware of Apple's redesign of Final Cut Pro as a "X" version, which is unlike anything you've ever used. Is iMovie Pro used? superficially only it transcends that so greatly. FCP X is a completely new paradigm in editing, so Apple did get one thing right using their National Association of Broadcasters secret peek. In addition its the widely used video the editing programme Premiere Pro, the Adobe's editor now directs new users to its library of learn more courses. In addition to potentially eliminating in-person instructors, this drive to having the tool teach itself also "naturalises" the professionalisation rhetoric in video production education under the pretence of "neutral" technology. Lessons on Premiere's features, such as colour correction, sequencing, and audio mixing capabilities, sometimes emphasise a technical, "how-to" technique to creating videos, but ignoring important "why" considerations about meaning and representation. In this research, the core uses of Adobe's Premiere Pro CC and Final Cut Pro X are compared and contrasted.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: Video editing software, Adobe Premiere Pro CC, and Final Cut Pro X, Video production pedagogy, software studies, critical media analysis.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Alum helps to fade acne scars and dark spots. It can reduce scars, meliorate texture, and evens out fine lines. It also known as fitkari or phitkari. Alum is an inorganic emulsion that's usually made up of water motes, aluminium or other essence and sulphates. The general chemical formula for alum is XAI(SO4)2.12H2O. People exercise astringents to reduce the appearance of pores on the face. Alum has a range of topical usages similar as an antiperspirant deodorant. It has a tangy property that helps the cells to condense and removes redundant oil painting from the face. Acne is one of the most common skin problems in teenagers and youthful grown-ups, and causes significant emotional torture for numerous. Alum is also bacteriostatic, making it useful as a preservative. It can reduce bacterial growth in particular care products and extend their shelf life. In alum present the different chemical constituents in like aluminium, potassium and Sulphate. It acts as anti-acne, dark spot reduction, anti-Inflammatory, tightens skin. Toner used alum act as astringent, Glycerin act as humectant and the rose water act as a smoothening agent. Alum is an operative remedy for face cases. Applying alum on the affected area helps to tautens the face due to its Kashaya (tangy) property.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Toner, Acne, Alum, Glycerin, Rosewater

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ladakh is now a Union territory of India. It was created on 31 October 2019 by passing the Jammu and Kashmir Reorganisation Act. Ladakh is the highest plateau in India. The territory of India consists of two districts namely Leh and Kargil. The Indus, Shyok and Nubra river valleys flow in the Leh district. The Suru, Dras and Zanskar river valleys flow in the Kargil district. Leh is Buddhist dominated (with a population of 66.40% Buddhits out of 133,487) while Kargil is Muslim (mostly Shia) dominated (with a population of 76.87% Muslim out of 140,802). Leh has Bauti (a Tibetan language) as the predominant mother-tongue while Kargil has Purkhi as the predominant mother-tongue. This region is well known for its difficult terrain, landscape, and practices of three religious sects such as Islam, Buddhism, and Hinduism. As we all know that there is some sort of syncretism between Buddhism and Hinduism which brings religious and cultural amalgamation in the region of Ladakh too. But when the question of rights over motherland and possession of property become the real bone of contention then the minority religion of the nation raises issues of regional autonomy, insecurities of cultural, religious and social identities as they fear it. This is how syncretism reduces. This is what is happening in the region of Ladakh as it is now a Union territory where the very act of the Government of India had provided the sense of security by making Ladakh a Union territory of India but at the same time there is insecurities about autonomy that they were enjoying in the erstwhile state of Jammu and Kashmir. This article is dedicated on the impacts of the de-operationalizing Article 370 and repealing 35A and hence the changes in demography, culture, economy, and politics of the minority religion i.e. Buddhism in the Himalayan region especially Ladakh.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Demography, Syncretism, minority religion, amalgamation, regional autonomy

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

We live in a digital age where social media usage has increased to previously unheard-of levels in recent years. One such well-known social networking and microblogging website is Twitter, which enables hundreds of millions of users to communicate informally and in real time about events that merit wide attention as well as to express opinions on such occurrences. The results of this study suggest that emotion on Twitter and stock market movement are related. We are particularly curious about whether and to what extent sentiment data gathered from Twitter might be used to predict future changes in stock prices. Market forecasting is a well-known and important topic in financial research, academic study, and the financial sector. Time series analysis is the most common and fundamental method used to carry out this task. The tweets mentioning a certain company over the previous three months are collected together. The results of this experiment show a statistically significant correlation between daily stock price fluctuations and changes in tweet polarity, which was determined via sentiment analysis of tweets.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment Analysis, Twitter data, Share market prediction, Data analysis

  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

Apixaban, RP-HPLC, Validation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Recently, image recognition technology using deep learning has improved significantly. Forensic analysis has proved to be one of the most utilitarian tool in investigating crime. Forensic analysis provides evidence / basic information of the said crime through analysis of physical evidence. This project address a scintillating technique to enhance the image quality of CCTV video to assist in the investigation of criminal cases. In the pre- processing phase for face recognition, face data with seven features that can be identified as a person are collected using CCTV. The collected dataset goes through the annotation process to classify the data and facial features are detected using deep learning. If there are four or more detected features, the image data is determined to be a person and the face is matched with stored user data in detail using 81 feature vectors. The problem of enhancing images is addressed by pure image processing method and machine learning technique. This project analyzes both of the above techniques and further concluded that the machine learning approach produces a more efficient result. The application of this technique can range from simple image filtering and advanced forensic image processing.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SRGAN, Image Enhancement, surveillance system, noise reduction, Super Resolution, Upsampling, Batch Normalisation, Peak Signal to Noise Ratio (PSNR).

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Big data is critical to many important industries, such as healthcare, finance, manufacturing, transportation, and e-commerce. Therefore, it is very important for the financial sector, especially banking services and the development of e-commerce. Due to advancements in communication and e-commerce, online payments are now the preferred method of payment for both offline and online purchases. The banking industry is facing many problems right now because of the use of online payment or credit cards, and the number of scammers is on the rise. The goal is to detect fraudulent transactions before they are processed and approved in order to prevent financial losses and protect the business and its customers. This method involves using machine learning algorithms to analyze transactions in real time, looking for patterns or anomalies that may indicate fraud.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Big data; Machine learning algorithm; Online Payment; credit card; Real time; E-commerce

  License

Creative Commons Attribution 4.0 and The Open Definition