Volume 12 | Issue 7 |

 Abstract

The root cause of environment degradation is the widening gap between human and nature. Man has efficiently committed ecocide making the planet inhospitable for any kind of life. The technological progress has made man blind, destructive and dehumanizing. Human beings have become blinded by the advancement of civilization and hence have stopped thinking themselves as part of the natural world. This paper focuses on writers who have foregrounded the aftermath of a disaster through their works. It is probable that the cultural and ecological climate have inspired these writers to focus on future which is unpleasant but sure to come to reality if man continues to move through the current trajectory. McCarthy's Road(2006)falls into the genre of post-apocalyptic fiction. In the novel under study we find that the catastrophic event caused by man has left the landscape barren. In such a bleak situation we find that there is an attempt to rebuild civilization and reconstruction of humanity.

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 Keywords

posi-apocalyptic fiction, ecocide, environment degradation

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This study evaluates the antimicrobial activity of ethanolic extracts from the leaves and stems of Cocculus hirsutus. The investigation targeted various test microorganisms, including Penicillium , Aspergillus niger , Pseudomonas aeruginosa and Candida albicans. The agar well diffusion method was employed to assess the efficacy of the extracts, with gentamycin serving as the standard reference drug. Results indicated that the ethanolic extract of Cocculus hirsutus exhibited significant antimicrobial properties. The effectiveness of the extract varied across the different microorganisms, suggesting a broad spectrum of activity. This study highlights the potential of Cocculus hirsutus as a source of natural antimicrobial agents, providing a basis for further research and development in medicinal applications.

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 Keywords

EVALUATION OF ANTIMICROBIAL ACTIVITY OF LEAVES AND STEMS OF COCCULUS HIRSUTUS

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Natural Language Processing (NLP) has witnessed significant advancements with the advent of Transformer-based architectures. Vision Transformers (ViTs), initially designed for image recognition tasks, have recently demonstrated potential in NLP applications due to their ability to handle sequential data effectively. This paper explores the application of Vision Transformers in NLP, focusing on their architecture, adaptation for text data, and comparative performance analysis with traditional NLP models. The study aims to investigate the application of Vision Transformers in NLP, assess their performance compared to traditional models, and identify potential areas for improvement. The results indicate that Vision Transformers can outperform conventional models in certain NLP tasks, offering a promising avenue for future research

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Natural Language Processing, Vision Transformers, Image recognition

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Creative Commons Attribution 4.0 and The Open Definition

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The various social media platforms are used for easy access of information from the distinctive field that might constitute an offensive discussion. Therefore, existing studies are examined to reduce offensive harassment cases online. The spread of hate speech is growing with the ubiquity and anonymity through the means of social media for many years. Thus, the increase in demand showed an automated model for the detection of hate speech. This research work utilizes Bidirectional Long Short Term Memory (Bi-LSTM) models for hate speech detection which helps the network to learn complex patterns in the data. The proposed Bi-LSTM learned the c complex patterns present in the network data and the activation function made an end decision that should be fired out into the next neuron. The classification results showed that the proposed Bi-LSTM classified the reviews as abusive or non-abusive speech.

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 Keywords

Bi-LTSM, DFD, CNN, SVM, BERT, GRU, RF.

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Creative Commons Attribution 4.0 and The Open Definition

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A duodenal ulcer is a specific type of ulcer that occurs in the lining of the small intestine, particularly in the duodenum, which is the first section of the small intestine immediately after the stomach. This condition is characterized by inflammation and the formation of a sore, which can cause significant abdominal pain. Duodenal ulcers are a common cause of abdominal discomfort, and while they can be quite painful, they often heal within a few weeks with appropriate treatment. Duodenal ulcers fall under the broader category of peptic ulcer disease (PUD). PUD encompasses both duodenal ulcers and gastric ulcers, which are ulcers that form in the lining of the stomach. Both types of ulcers result from a disturbance in the mucosal surface, which is the protective lining of the stomach and duodenum. This disturbance can cause the mucosal surface to erode and form ulcers. The mucosal surface consists of several defensive layers, including pre-epithelial, epithelial, and subepithelial components, all of which work together to protect the underlying tissues from damage. The primary symptom associated with duodenal ulcers is dyspepsia, which is a term for upper abdominal pain or discomfort. However, more severe complications can arise if the ulceration progresses, including gastrointestinal bleeding, obstruction of the digestive tract, the formation of a fistula (an abnormal connection between organs), or even perforation of the stomach or duodenum wall. The presence and severity of symptoms can significantly influence the management and treatment approach for the condition. When diagnosing peptic ulcer disease, it's important to consider a patient's history, especially if they have symptoms of dyspepsia, a history of using nonsteroidal anti-inflammatory drugs (NSAIDs), or a previous diagnosis of infection with Helicobacter pylori (H. pylori). H. pylori is a common bacterial infection that is a major cause of peptic ulcers. Therefore, testing for H. pylori is recommended for all patients with peptic ulcer disease, particularly those with duodena ulcers. NSAIDs, which are commonly prescribed to manage pain and fever, can also contribute to the development of peptic ulcer disease, even with short-term use. This is particularly relevant for children, who may be given NSAIDs to manage fever. Doctors should consider the potential risks and use these medications cautiously, advising caregivers about the importance of moderation and the potential dangers of over use. In summary, duodenal ulcers are a type of peptic ulcer that causes significant abdominal pain and requires careful diagnosis and treatment. Understanding the underlying causes, including the role of H. pylori infection and the impact of NSAID use, is crucial for effective management and prevention of complications.

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 Keywords

Duodenal ulcer, Helicobacter pylori, NSAIDs, Peptic Ulcer Disease (PUD)

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This study investigates the impact of exercise adherence on the wellbeing of students, employing a single factorial design. The sample, comprising 200 subjects, was divided into two groups: those who engage in regular exercise and those who do not. Mean scores and standard deviations (S.D.) were calculated for each group, revealing a significant difference. Students who exercise regularly exhibited a higher mean score of 22.35 (S.D. = 8.7), while non-exercising students had a lower mean score of 15.30 (S.D. = 9.70). The 't' test, with a score of 9.04 at the 0.01 level, demonstrated statistical significance, emphasizing the robust correlation between exercise adherence and wellbeing. The interpretation of results suggests a positive association between regular exercise and overall wellbeing, supported by lower variability in scores among exercising students. This aligns with past studies emphasizing the cognitive, academic, and mental health benefits of exercise. The implications of these findings extend beyond statistical significance, advocating for the integration of exercise into student lifestyles to foster holistic wellbeing.

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 Keywords

Exercise Adherence, Student Wellbeing.

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Creative Commons Attribution 4.0 and The Open Definition

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Construction industry is considered as one of the most important and second largest industries in India after agriculture. It is well known that most construction projects in India, especially in Tamil Nadu are exposed to time and cost overrun or both. Time cost schedule is a crucial task in construction project management. This phenomenon may affect the progress of construction industry in India as well as may expose many institutions of construction to be destroyed for instance; it can materially help to identify the expected financial requirements. It is also an important tool for the time control process. Construction project time schedule is greatly affected by many uncertain but predictable factors. This research list the main factors affecting time and cost overrun and discusses their influence on schedule performance. The main factors are analysis using Statistical Package for the Social Science. From the analysis planning and scheduling deficiencies, financial unavailability, quality of materials, rain / inclement weather effect, inaccurate time estimates, design changes by owner found to be most critical factors.

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 Keywords

Phenomenon, Critical factors and Construction.

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This study investigates perceived service quality in higher education, focusing on dimensions such as administrative quality, physical environment, core educational quality, support facilities, and transformative quality and its impact on students' choice of Higher education institutes. Using a sample of 180 students from The Maharaja Sayajirao University of Baroda and Veer Narmad South Gujarat University, the study reveals significant positive correlations among these dimensions, highlighting the central roles of Core Educational Quality and Physical Environment Quality. Despite these findings, regression analysis shows that socio-demographic factors (Residential Location, Employment Status, Gender, and Age) do not significantly impact perceived service quality. Factor analysis identifies a single underlying factor accounting for the majority of variance in service quality perceptions. The results emphasize the importance of enhancing key service quality dimensions to improve overall perceptions and achieve positive educational outcomes and student satisfaction.

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 Keywords

Brand Image, Higher Educational Institutes, Brand Equity, Perceived Service Quality, Service attributes.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The leaves of Calotropis gigantea have long been used to treat edema, cancer, wounds, recurrent fevers, paralysis, and hurting joints. As an antispasmodic and anti-asthmatic, it is also applied externally for leprosy, eczema, boils, ulcers, scabies, and piles. Positive anti-inflammatory effects seem to be present. However, research has not demonstrated that it has anti-inflammatory qualities. Therefore, the objective of this study is to evaluate, via an in vitro method, the anti-inflammatory qualities of an extract derived from Calotropis gigantea leaves. Using petroleum ether (60-800), chloroform, ethyl acetate, n-butanol, ethanol, and distilled water, the leaves of Calotropis gigantea were extracted gradually. After that, the extract was tested utilizing a slightly modified inhibition of albumin denaturation approach for in vitro anti-inflammatory efficacy. We employed 100 mg/kg of etoricoxib as the usual reference drug. Calotropis gigantea leaf ethanolic extract produced a denaturation inhibition percentage of 85.71%, which was comparable to that of etoricoxib, indicating that the extract possesses potent anti-inflammatory qualities.

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 Keywords

Calotropis gigantea, antispasmodic, antiasthmatic, antiinflammatory activity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A desktop assistant on Linux is a software application designed to assist users in performing various tasks on their Linux-based desktop system. It typically integrates with the desktop environment and offers a user-friendly interface for performing common tasks such as launching applications, managing files and folders, and accessing system settings. The assistant can also be customized with plugins or extensions to add additional functionality. The main goal of a desktop assistant on Linux is to make the user experience as smooth and efficient as possible. By centralizing common tasks and providing an accessible interface, the assistant eliminates the need for users to navigate complex system settings or memorize multiple keyboard shortcuts. This, in turn, makes it easier for users to perform everyday tasks on their Linux-based desktop system, increasing productivity and overall satisfaction with their experience.

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 Keywords

Deep Learning, Machine learning, NLP, Voice Assistant, Linux, Artificial Intelligence, Speech Recognition, LLMs.

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Creative Commons Attribution 4.0 and The Open Definition