Volume 12 | Issue 7

 Abstract

This literature review carefully explores the important factors shaping the success of Over-The-Top (OTT) platforms in the dynamic digital media landscape. Thoroughly analysing key elements--Accessibility and Device Compatibility, Freemium Models, Content Variety and Quality, Cross Promotion and Bundled Services, Targeted Marketing and Personalization, Partnerships and Collaborations, and Social Media Engagement--the study provides a comprehensive understanding of the intricate OTT ecosystem. In the ever-evolving OTT landscape, ensuring seamless user experiences across diverse devices becomes imperative, with Accessibility and Device Compatibility playing a pivotal role. Freemium Models, balancing free and premium content, strategically contribute to user acquisition and retention. The critical determinants of Content Variety and Quality significantly influence viewer satisfaction and loyalty. Strategic considerations like Cross Promotion and Bundled Services enhance user engagement by capitalizing on synergies between different content offerings. Further refining user experiences, Targeted Marketing and Personalization tailor content recommendations to individual preferences. The enhancing of OTT platforms' reach is achieved through Partnerships and Collaborations, fostering a broader audience base. Social Media Engagement emerges as a dynamic force, facilitating user interaction, feedback, and content discovery. This exhaustive literature review offers valuable insights for stakeholders in the OTT landscape, providing a guide for strategic decision-making to optimize success in managing the competitive digital media environment effectively.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

OTT Platforms, Digital Media Landscape, Factors, Strategic Decision-Making, Competitive Digital Media Environment.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ovarian cancer remains a strong foe in the arena of women's health, ranking as one of the major causes of cancer-related death, especially when not discovered early. The current diagnostic landscape is heavily reliant on a multifaceted approach involving surgical interventions, ancestral lineage assessments, imaging techniques such as ultrasound and CT-Scans, and specialized blood tests such as CA125, all of which aim to differentiate between benign and malignant ovarian tumors. Early identification of ovarian cancer is critical, and developing machine learning tools provide potential prospects. The ability of machine learning to comprehend complicated data and provide accurate forecasts has the potential to revolutionize the diagnosis and therapy of ovarian cancer. Notably, numerous machine learning algorithms, like as Naive Bayes and Simple Regression, have demonstrate and their diagnostic capability in the diagnosis of ovarian cancer, with accuracies of 89.25% and 88.17%, respectively, across multiple repositories. The continuing study's major goal is to investigate and use various machine learning algorithms in the detection of ovarian cancer. This study aims to demonstrate a wide range of machine learning approaches designed for the early and accurate detection of both malignant and benign tumors linked with ovarian cancer. The investigation seeks not only to improve diagnosis accuracy, but also to shorten the procedure, potentially improving the efficacy of early interventions and personalized treatment paths in the field of ovarian cancer management.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Ovarian Cancer detection

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Men and women are far from equality. Women are lagging behind men in all the fields, be in economic status, political or social status. This inequality between men and women is so wide that, the Equality in gender has become a global challenge. To bring equality special opportunity has to be provided particularly to women to uplift their status. For this issue to be addressed can be with the help of an essential tool of gender budgeting. Gender Responsive Budgeting (GRB) help Advance Gender Equality and women empowerment through Fiscal Policy. It is a technique to promote the gender equality and resolve the gender gaps. This study examines the concept, strategies, impacts, and challenges of GRB. The Present paper aims to provide insights into how GRB can effectively promote women's empowerment, social inclusion, and economic development.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: Gender Responsive Budgeting, Women, Empowerment, Impact, Challenges.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper utilizes data mining techniques for the deduction of lung cancer, a critical step in early diagnosis and treatment planning. Leveraging advanced algorithms, including decision trees and clustering methods, significant factors influencing lung cancer occurrence are identified from a comprehensive dataset. By analyzing patient demographics, lifestyle factors, and medical history, predictive models are developed to accurately classify individuals at risk. The study aims to enhance early detection efforts, potentially reducing mortality rates and healthcare burdens associated with lung cancer. Overall, the research contributes to the advancement of preventive healthcare strategies through effective data analysis and mining techniques.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lung Cancer, Data Mining, Early Detection, Predictive Modeling, Healthcare.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper explores the significance and methods of effectively utilizing historical data in software testing defect prediction. With the growing complexity of software systems, predicting and preventing defects has become paramount in ensuring software quality. Leveraging historical data, such as past defects and testing outcomes, can provide valuable insights into potential vulnerabilities and areas of improvement. The abstract delves into various approaches and techniques employed in harnessing historical data for defect prediction, including machine learning algorithms, statistical analysis, and data mining methodologies. Furthermore, it investigates the challenges and limitations associated with utilizing historical data in software testing, such as data quality issues, feature selection, and model validation. By synthesizing existing research findings and methodologies, this literature survey aims to provide a comprehensive understanding of how historical data can be effectively leveraged to enhance software testing defect prediction strategies, ultimately leading to improved software quality and reliability.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Software testing, Defect prediction, Software maintenance, data analysis, Regression analysis, Predictive modeling, Feature selection, Data mining

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of this study is to assess the variation in productivity of industry workers with a better understanding of the impacts of adverse ambient conditions viz. humid or dry atmosphere, thermal stress, poor illumination, excessive noise or poor ventilation. Once the impact of ambient conditions on the overall organizational productivity may be understood, the working area comfort for the workers may be more emphasized. Environmental parameters have been measured both during day and night time, and wherever required, Time Weighted Average (TWA) have been implied to obtain accurate results. Productivity models were further used to analyze the collected data. The model results demonstrated that poor environmental parameters decrease worker's productivity, whereas ambient quality comfort at workplace could have resulted in an improved productivity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

productivity, industry workers, Environmental parameters, workplace

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study evaluates various feature selection techniques for Music Emotion Recognition (MER) by leveraging Mel Frequency Cepstral Coefficients (MFCC) and implementing both Support Vector Machines (SVM) and Convolutional Neural Networks (CNN). Experiments were carried out using a labeled dataset of music samples categorized into five distinct emotions. The impact of various MFCC configurations on SVM-based and CNN-based MER performance was analyzed. Results provide insights into optimal MFCC parameter selection for improved accuracy in MER systems. This research contributes to advancing the field of MER and provides guidelines for enhancing emotion classification in music. Furthermore, the proposed research demonstrates the importance of considering the emotional nuances present in music by utilizing a diverse dataset with multiple emotion categories. By encompassing emotions such as Devotional, Happy, Romantic, Party, and Sad, our study captures a wide range of emotional states expressed through music. This comprehensive approach enables a more thorough understanding of the complexities involved in music emotion recognition and enhances the applicability of the findings in real-world scenarios. The results of this research can lay the groundwork for creating more precise and resilient MER systems, which could enhance fields such as music recommendation, affective computing, and interactive music experiences

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MFCC (Mel Frequency, Cepstral Coefficients), SVM (Support Vector Machine), CNN (Convolutional Neural Network)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human resources is the most important factor of an organization. Labourers get wages in exchange for their services. The inefficiency and weakness of labourers directly affect the productivity of the organization even if all other factors of production are favorable. Labor welfare is an important element of the organization in creating a good environment for work. Welfare measures are important to reduce absenteeism and increase efficiency. Working and living conditions of the workers are greatly increased by providing adequate welfare measures. Welfare measures aim to provide various housing schemes, medical benefits, proper and quality education and recreation facilities to the worker's families. All these measures help the families in raising their standards of living. This makes workers pay more attention to work and thus increase their productivity. The main aim of this study is to collect information about the welfare measures provided to the employees and to assess the opinion of employees on whether they are satisfied with the welfare facilities provided by the organization. The data was collected from 100 workers and percentage, chi square test was applied for analysis.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Labour welfare, oil palm plantation workers, satisfaction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cryptography is the practice and study of techniques for securing communication and data in the presence of adversaries. It involves creating written or generated codes that allow information to be kept secret. Cryptography transforms readable data (plaintext) into an unreadable format (ciphertext) through encryption, and converts it back into readable format through decryption. In this paper, we swap internal bits of both the plaintext and the key using different techniques usually a bit circle swapping, and then perform an XOR operation on both to generate the Ciphertext.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cryptography, Plaintext, Circle Swap, XOR, Key Generation, Cipher text

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Liver disease is a serious health concern worldwide, and accurate prediction of liver disease is crucial for timely intervention and treatment. In this paper, research proposes a feature selection method using Adaptive Lasso for liver data to enhance the prediction accuracy of liver disease. Adaptive Lasso effectively selects relevant features from a large pool of potential predictors by incorporating penalty terms. Experimental results demonstrate that research proposed method achieves superior performance in liver disease prediction compared to traditional feature selection techniques. The selected features provide valuable insights into the underlying factors contributing to liver disease, enabling more targeted and effective healthcare interventions. This research contributes to the field of liver disease prediction and highlights the importance of feature selection for improved healthcare outcomes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Liver disease, feature selection, Adaptive Lasso, prediction accuracy, healthcare interventions

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Objective: To study neck pain related disabilities among secondary school teachers of Saurashtra region. Method: A total 121 participants were included. The data was collected with Neck Disability Index (NDI) in google forms. 30-56 years of teachers was selected for the study. The data collection have been done through google form of NDI. Results were calculated with google form analysis. Results : 65 Males and 56 Females filled the form. 23.97% teachers having neck pain related disabilities. Among them 20% male and 28.57% female were having difficulties in their day to day activities. Conclusion: According to the study, female teachers have more difficulties in their day to day activities than males. Poor posture during reading and computer work and heavy work load can lead to neck pain and associated disabilities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Neck pain, disabilities, teachers

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This literature survey examines the current advancements and methodologies in digital image processing (DIP), focusing on its applications, challenges, and security measures. Digital image processing plays a vital role across various fields such as medical imaging, remote sensing, surveillance, and multimedia. The survey highlights key techniques like image enhancement, restoration, segmentation, and compression, emphasizing their contributions to improving image quality and facilitating analysis. Additionally, it explores the significance of security in digital image transmission, reviewing traditional methods including encryption, steganography, and watermarking. The survey also delves into innovative approaches like Chaotic Encryption with Dynamic Key Generation (CEDKG), which enhance image security through dynamic key generation and integration with steganography and watermarking. This comprehensive review provides insights into the evolution of DIP technologies and underscores the importance of robust security measures to protect digital images in an increasingly connected world.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Image Processing, segmentation, compression, restoration, machine learning, artificial intelligence, encryption, watermarking, security

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The impact of e-commerce growth on small enterprises has been astounding. On the one hand, it has enabled them to connect with more people outside of their immediate community, which made it possible for them to grow their clientele and boost revenue. Online platforms provide small firms with an affordable alternative to costly brick-and-mortar establishments for showcasing their goods and services. Online buying has, meanwhile, also posed difficulties for small companies. It may be challenging for businesses to stand out in the competitive online marketplace due to increased competition from regional and international retailers. Additionally, handling online orders, shipping, and inventory management can provide logistical and operational issues for small firms. Consumer expectations and behaviour have changed as a consequence of the rise in online sales, with consumers now expecting seamless and customized experiences across digital platforms. In order to fulfil these changing demands, small firms must embrace digital transformation, make investments in customer service and technology, and set themselves apart through distinctive value propositions and focused marketing campaigns.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online Shopping, offline, offline retailers, small business

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

IT IS GENERALLY UNDERSTOOD THAT POOR ECONOMIC GROWTH IN NIGERIA REQUIRES SOLUTIONS FROM VARIOUS THRUSTS SUCH AS REFORM OR POLICIES THAT ARE MORE MARKET-ORIENTED, POLICIES ON THE APPLICATIONS OF APPROPRIATE TECHNOLOGY, POPULATION AND EMPLOYMENT POLICIES, AS WELL AS MACROECONOMIC POLICIES. NUMEROUS ECONOMIC STRATEGIC PLANS AND REFORMS HAVE BEEN INITIATED IN NIGERIA FOR DIVERSIFYING THE SOURCE OF REVENUE OF THE ECONOMY; MOST OF WHICH HAVE LASTED WITHOUT ANYTHING MUCH TO SHOW WITH REGARD TO THE COUNTRY'S ECONOMIC DEVELOPMENT. THUS, THIS STUDY EXAMINES THE LINKAGES BETWEEN THE APPLICATION OF ECONOMIC LIBERALISM (AN INTERNATIONAL POLITICAL ECONOMY THEORY) AND ECONOMIC GROWTH AND SUBSEQUENT ECONOMIC DEVELOPMENT IN NIGERIA. USING DATA FROM THE EXISTING DOCUMENTS ON THE TOPIC IN QUESTION, THE STUDY FINDS THAT ONE OF THE VERY SIMPLEST AND VIABLE MEANS OF IMPROVING NIGERIAN ECONOMIC GROWTH IS EMBRACING THE POLICY OF ECONOMIC LIBERALISM THAT NECESSITATES TRADE LIBERALISM FOR FREE EXCHANGE OF GOODS, SERVICES AND IDEAS ACROSS THE GLOBE. THUS, THE STUDY RECOMMENDS ALONGSIDE OTHER RECOMMENDATIONS THAT THE FEDERAL GOVERNMENT SHOULD REVISIT ITS POLICY OF BORDER CLOSURE THROUGH WHICH VARIOUS COMMODITIES THAT ARE NECESSARY FOR THE DEVELOPMENT OF THE COUNTRY ARE BARRED FROM COMING INTO THE COUNTRY.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

POLITICAL ECONOMY, ECONOMIC GROWTH, ECONOMIC DEVELOPMENT, ECONOMIC LIBERALISM, AND TRADE LIBERALISM

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the present study, a thin layer of MFI-type silicalite zeolite membrane is synthesized on porous silicon carbide supports (discs and tubes) by direct in situ crystallization and secondary growth technique via hydrothermal treatment for CO2/N2 separation. The influences of synthesis conditions are studied. The membranes are characterized for the formation of zeolite by X-Ray Diffractmeter (XRD) and crystal morphology by SEM. The permeation of single gases viz: H2, N2.CO2.Ar, SF6, and separation of mixed gases viz: H2/N2 and CO2/N2 are evaluated using gas chromatography. After optimizing conditions for disks samples, preparation of membrane on tubular silicon carbide supports will be taken up in an industrial reactor. The membrane module will be fabricated and tested for its performance.The secondary growth technique method resulted in uniform and thin layer of zeolite membrane on both disk and tubular supports. Single gas permeability results shows the permeability through the developed membrane is in the order of H2>CO2>N2>Ar. The highest separation factor for CO2/N2 mixed gas is obtained for MFI membrane formed on disk sample by secondary growth method.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Component, formatting, style, styling, insert

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

PAAK VISHTHAPIT SRNARTHIYO KI SAMAJIK AV AARTHIK STHITI JODHPUR JILLE KE VISHESH SANDARBH ME

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PAAK VISHTHAPIT SRNARTHIYO KI SAMAJIK AV AARTHIK STHITI JODHPUR JILLE KE VISHESH SANDARBH ME

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mohalla clinic of Delhi, India is considered as a primary health care initiative with socialistic approach. As a fact, the outlay of most regimes in health sector is concentrated on secondary and tertiary health care facilities, while primary care facilities remain more or less ignored. The core objective behind Mohalla clinic is to address the case load on secondary facilities by providing basic healthcare services to poor population in an urban surrounding. Like any other public initiative, Mohalla clinic too has some challenges to deal with and has staggered growth. Still this initiative can be considered as one of its kind because of the value it adds to the life of an urban poor even though it faces challenges that range from discrimination to understaffed clinics and even to unclean surroundings. This article will focus on various aspects related to Mohalla Clinic functioning, growth and challenges associated.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mohalla clinic, primary health care, urban poor, Delhi, health facilities, footfall, infrastructure.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's rapidly evolving marketplace, marketing serves as the essential bridge between businesses and their audience, connecting supply with demand. With the rise of the internet, commerce has undergone a profound transformation. No longer confined to physical locations, markets have expanded into dynamic online communities, where businesses compete for visibility amidst a sea of digital noise. This shift requires businesses to stay savvy about technology and online trends to effectively engage with consumers in this ever-changing digital landscape. Consider this: successful businesses must intimately understand their customers' wants, needs, and preferences. This involves delving deep into the wealth of data available online to gain valuable insights into consumer behaviour. However, it's not just about crunching numbers; it's about translating these insights into actionable marketing strategies that resonate with real people. This is where the true magic happens. By embracing cutting-edge technology and remaining agile in their approach, companies can craft marketing campaigns that feel genuine and relatable. In a world where change is constant, staying attuned to the evolving desires and expectations of consumers is essential for success in today's fast-paced business environment. It's this ability to authentically connect with consumers that serves as the key to thriving amidst the turbulence of the modern marketplace.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data mining, Marketing, Marketplace, Internet, Commerce, Consumer, Evolving, Technology & Consumer behaviour.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Biostatistical analysis has emerged as one of the most crucial applications for the clinical trial systems. The relevance of statistical analysis in the clinical trials cannot be overstated in advancement of the novel pharmaceuticals and therapeutics. Data volumes, including effectiveness and safety summaries, are produced throughout the process of the developing and approving novel medicines. Data standards developed by Clinical Data Interchange Standards Consortium (CDISC) are well-established, widely accepted, and widely utilized by pharmaceutical sector for submissions to the regulatory bodies. Biostatistical programs like PRM, ODM, CDASH, SDTM, ADaM, SAS, and ARDM have come to long way in the recent years, this article highlights those developments. The present study has made an effort to the report on typical difficulties encountered when using biostatistical methods, with every new discovery, there is always a potential pitfall. Even the main endpoint of experiment might be improperly analysed without adequate validation of the model assumptions. Biostatisticians must collaborate closely with the physicians to choose the most suitable statistical methods for data assessment; otherwise, results may be ambiguous or misleading. To guarantee that a clinical trial satisfies the requirements of the regulatory agencies in the drug approvals, future research should concentrate on the strategies that can enhance compliance and validation processes. Clinical trials play a pivotal role in the advancing medical research and improving patient outcomes. Biostatistics methodologies are essential for the designing robust clinical trials and analysing the resulting data effectively. This review explores recent advancements in the biostatistics methodologies, focusing on the innovative approaches that enhance the efficiency, reliability, and the ethical considerations of the clinical trials.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Clinical trials, Biostatistics, SDTM, ADaM, TLFs, CDASH, SAS, USFDA, Drugs.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Aloe vera Lemon and Carica papaya are medicinal plant they are used as traditionally from ancient year in various herbal medicines such Ayurveda, siddha, and Homeopathic. Cosmetics and some medicinal products are made up from the mucilaginous tissue in the centre of aloe vera leaf and called Aloe vera gel. Aloe vera gel contains no Antraquinone. Which are Responsible for the strong laxative affects of aloes The main challenge lies in the selection of natural material which can be rationally justified and comparable to that of synthetic material. In present study our aim is to develop an Herbal face cream which would be natural. The Herbal face cream was prepared by Trituration method and further Evaluated for various evaluation parameters such as Physical properties, Determination of pH, Spreadability, Viscosity, Washability, after feel test, Greasiness, Phase separation, Irritancy test, Stability test. The Herbal face creams show the good physical appearance with faint yellow Color, Smooth consistency, pleasant odor, and Semi-solid state.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aloe vera, Lemon, Carica papaya, face cream, Evaluation.

  License

Creative Commons Attribution 4.0 and The Open Definition