Volume 12 | Issue 9 |

 Abstract

We discuss subalgebras and BP-ideal properties in BP-algebras whose topology is generated by a fuzzy set family. We present and explore some of the features of fuzzy topological subalgebras and ideals in BP-algebras in this work. The characteristics of the inverse and homomorphic images of the fuzzy topological ideals of BP-algebras are also covered. Additionally, we study some of the results of intuitionistic fuzzy topological structures in BP-algebras and present the idea of such structures in this paper.

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 Keywords

(Fuzzy) continuous maps, (Fuzzy topological) ideals, C5-disconnectness, Compactness, BP-algebras, Intuitionistic fuzzy (topological) BP-algebras, Intuitionistic fuzzy continuous.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The fast-food industry has witnessed significant shifts in consumer behavior, particularly in the post-COVID era. This study explores the factors influencing fast-food consumption patterns, with a focus on how the pandemic has reshaped dining preferences. Through a combination of exploratory and descriptive research methods, including surveys conducted in Coimbatore city, the study investigates changes in public attitudes toward fast food, the increased reliance on digital ordering platforms, and growing health concerns. Findings indicate that convenience, safety measures, and the demand for healthier options play pivotal roles in driving consumer choices. The study concludes with insights into the future trajectory of the fast-food industry, emphasizing innovation, sustainability, and evolving consumer preferences in a post-pandemic world.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fast food industry, Consumer behavior, Post-COVID, Health concerns, Digital ordering, Convenience, Innovation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Healthy life style represents the persons in the society in a useful manner but unhealthy life styles among an individual were lead to a disease. Today increasing focus on health, health promotion, wellness and self - care. The aim of the study to assess the effectiveness of interventional package on knowledge regarding self -care management among diabetic clients residing in selected urban areas of District Kangra, Himachal Pradesh.

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 Keywords

A QUASI-EXPERIMENTAL STUDY TO ASSESS THE EFFECTIVENESS OF INTERVENTIONAL PACKAGE ON KNOWLEDGE REGARDING SELF-CARE MANAGEMENT AMONG DIABETIC CLIENTS RESIDING IN SELECTED URBAN AREAS OF DISTRICT KANGRA, HIMACHAL PRADESH.

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Creative Commons Attribution 4.0 and The Open Definition

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India Post Payment Bank (IPPB) is a government-backed financial institution aiming to provide inclusive banking services. This empirical study investigates the adoption and challenges faced by customers in Tirupur City, analyzing factors influencing their usage of IPPB and identifying potential barriers to wider adoption.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IPPB ,financial inclusion,awareness,adoption,challenges, user-friendly services.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ancient times have witnessed women being physically subjugated, socially discriminated, economically dependent and psychologically traumatised. But modern contemporary woman is breaking her silence, questioning the male dominance and bracing the challenges. This is the first instance of the 'New Woman' in Indian writers' English-language works. Modern Indian novelist Shashi Deshpande has focused in particular on the common predicament faced by middle class, educated, employed Indian women, whose quirks differ from those of urban women in India. Shashi Deshpande presents a reformed woman who reasons, scrutinizes and finally evolves into a New Woman. The protagonists of her novel whether it is Saru of The Dark Holds No Terrors, Indu of Roots and Shadows or Jaya of That Long Silence all comprehend the suppression of 'self' due to the male conquered system which is rude, callous, suppressive, domineering and horrendous and hence forces them to break their silence to lead a life of a reformed 'New Woman'. The present paper discusses how the revelation of one's identity takes place through Indian mythological reflections.

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 Keywords

mythology, New Woman, self, subjugation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mitral valve prolapse (MVP) is a common valve abnormality in general population. Despite the general belief of a benign disorder, several articles since the 1980s report sudden cardiac death (SCD) in MVP patients, with a substantial percentage of asymptomatic young individuals. MVP is an underrated cause of arrhythmic SCD. The subset of patients with malignant MVP who may be at greater risk for SCD is characterized by young women with bi leaflet MVP, biphasic or inverted T waves in the inferior leads, and frequent complex ventricular ectopic activity with documented ventricular bigeminy or ventricular tachycardia (VT) and premature ventricular contractions (PVCs) configurations of outflow tract alternating with fascicular origin or papillary muscle. MVP is a common condition in the general population and is often encountered in asymptomatic individuals. Here, we report the case of a 52-year-old male presenting for ventricular bigeminy. Initial workup revealed a Barlow disease with mitral valve prolapse. The patient underwent mitral valve surgery with good outcomes. Mitral valve prolapse is defined as abnormal bulging of the mitral valve leaflets into the left atrium during ventricular systole. Mitral valve prolapse is a common condition that is a risk factor for mitral regurgitation, congestive heart failure, arrhythmia, and endocarditis.

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 Keywords

Mitral valve prolapse - ventricular arrhythmia

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the ongoing use of caustic soda in soap and detergent production, examining its benefits and drawbacks amidst growing environmental concerns. Caustic soda's effectiveness in converting fats and oils into soap and detergent powder, as well as its role in cleaning agents and pH adjustment, makes it a valuable ingredient. However, its production and utilization raise significant environmental concerns, prompting the industry to shift towards sustainability. This research aims to evaluate the efficacy of caustic soda against its environmental impact, exploring safer, more eco-friendly alternatives that balance functional performance with environmental responsibility. By revaluating the use of caustic soda, the industry can mitigate stakeholder concerns, adhere to legal obligations, and ensure long-term survival, ultimately aligning with sustainable marketing principles and contributing to a more environmentally conscious future. This study's findings will inform detergent manufacturers' strategies, policy decisions, and sustainable practices, addressing the critical need for environmentally responsible production processes in the chemical industry.

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 Keywords

Caustic soda, detergent production, environmental concern, Sustainability marketing, eco-friendly alternatives

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Determining the exact location of earthquake origins is crucial in seismology and is integral for several seismic-related tasks such as building a 3D picture of the Earth's interior, identifying the characteristics of seismic sources, and assessing potential dangers. Various traditional machine learning approaches like the nearest neighbor, decision tree, and support vector machine have been applied to solve the problem of earthquake detection. However, a recurring challenge with these methods is the need for expert knowledge in choosing the right features, which can sometimes lower their accuracy. Convolutional neural networks, which are primarily used for image recognition, have been adapted for a task of pinpointing earthquake epicenters or estimating their exact locations. In this setup, the model is trained using waveforms from multiple stations to predict the location of an earthquake swarm. The recurrent neural network (RNN) excels at extracting meaningful information from a sequence of inputs, making it suitable for dealing with a series of seismic stations that are activated in response to seismic wave propagation. This approach has been examined for enhancing real-time earthquake detection and the classification of source features. Other machine learning approaches have also been suggested for earthquake surveillance. Our approach introduces a recurrent neural network (RNN) model that uses differential P-wave arrival times and station positions to locate earthquakes. This model is designed to quickly identify the first P wave arrivals, which is vital for the rapid distribution of earthquake early warning alerts. Our method takes into account the impact of subsurface velocity structures by integrating the locations of seismic sources into the recurrent neural network. We have evaluated our method using a comprehensive seismic dataset from Japan. Our findings indicate that the recurrent neural network model can accurately pinpoint earthquake locations with relatively little data, offering new insights into the development of effective machine learning solutions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Component,formatting,style,styling,insert.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The impact of Constitutional Interpretation is evolved by the Supreme Court of India and the impact of the same on the Indian Criminal Justice System. There is an attempt to note the periodic change in the court's attitude towards interpreting the various provisions of the constitution related to criminal law and procedure by analyzing the various judgments which have shaped the Indian Criminal Justice System. A study of this nature which intends to understand and report on the relationship between issues of Constitutional Law and Criminal Justice would traditionally follow an analysis of the Fundamental Rights as the points of intersection between constitutional issues and criminal justice; an analysis of the rights considered essential in securing criminal justice. Although any such analysis would successfully provide clarity of purpose and efficient reasoning towards securing an understanding of seminal concepts, the ideas that come through are rudimentary and superficial, as they do not account for the subtle changes in the underlying institutional and systemic framework. We therefore seek to undertake a different approach and focus our attempt towards examining and identifying the approach of the constitutional courts in interpreting such constitutional provisions and principles with a view to assess their impact on the development of our criminal justice system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Constitutional Law, Criminal Justice, administration of justice, codification, constitutional interpretation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There are so many research works on CKD prediction using machine learning algorithms. All these works used all 24 parameters for CKD prediction and model built for static datasets. In this proposed system we aim at identifying the most important attributes or parameters for CKD prediction so as to improvise the efficiency of the CKD prediction system. We'll use a variety of supervised machine learning methods before deciding the one best for the model.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition