Volume 12 | Issue 2 |

 Abstract

Gender inequality and human rights

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gender inequality and human rights

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Recent advances in synthetic data have enabled the generation of images with such high quality that human beings cannot distinguish the difference between real-life photographs and Artificial Intelligence (AI) generated images. Given the critical necessity of data reliability and authentication, this article proposes to enhance our ability to recognise AI-generated images through computer vision. Initially, a synthetic dataset is generated that mirrors the ten classes of the already available CIFAR-10 dataset with latent diffusion, providing a contrasting set of images for comparison to real photographs. The model is capable of generating complex visual attributes, such as photorealistic reflections in water. The two sets of data present as a binary classification problem with regard to whether the photograph is real or generated by AI. This study then proposes the use of a Convolutional Neural Network (CNN) to classify the images into two categories; Real or Fake. Following hyperparameter tuning and the training of 36 individual network topologies, the optimal approach could correctly classify the images with 92.98% accuracy. Finally, this study implements explainable AI via Gradient Class Activation Mapping to explore which features within the images are useful for classification. Interpretation reveals interesting concepts within the image, in particular, noting that the actual entity itself does not hold useful information for classification; instead, the model focuses on small visual imperfections in the background of the images. The complete dataset engineered for this study, referred to as the CIFAKE dataset, is made publicly available to the research community for future work.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-generated images, generative AI, image classification, latent diffusion

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The oral poetry mirrors the socio-cultural, religious and economic life patterns of the communities. Its documentation is an authentic source of knowledge. SitakantMohapatra, a true son of the soil, an administrator, and a poet from Odisha, has travelled and dived deep into the language, culture and tradition of the various tribal communities like the Santhals, the Kandhas, the Mundas, the Parajas, the Hos, the Oraons etc. and collected and translated their oral poetry. These oral songs depict the life, the way of the world of the various tribes, like birth, death, love, sex, marriage, fate, god, eternity, spirituality, rites, rituals and celebrations that are different from clan to clan, village to village. The poet has toil hard to understand the wisdom of the different tribal communities and the nuances and layers in their oral songs. The poet has also showed great reverence and appreciated their immense perseverance. This paper will reflect Mohapatra's efforts to make tribal oral poetry open to the world and a sturdy commitment towards authentic documentation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: tribal communities, oral poetry, translation studies, folklores

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Siddha system of medicine is one of the oldest traditional systems of medicine, which originated from India and is practiced mostly in the southern part of this country for treating or managing various diseases including lifestyle disorders. The modern world facing a pandemic of Lifestyle disorders like hypertension, coronary artery disease, bronchial asthma, diabetes mellitus, obesity, chronic liver disease, psoriasis, arthritis, cancer, etc. Irregular lifestyle, unhealthy habits, inadequate exercise, and inadequate proper diets cause various lifestyle disorders. Yoga is very popular all over the world and is practiced for a healthy life. Asanas are now focused as the prime factor of Yoga. Practicing the different types of asanas for health is considered good and provides physical, mental, as well as spiritual benefits and cleanses the body. Regular practice of stretches, twists, bends, and inversions are the basic movements of the asanas and restores the strength and stamina of the body. Yogic practices play a significant role in the prevention and management of lifestyle disorders by reducing stress and giving energy to the body. Yogic diet, yogic Lifestyle, Yogic positive attitude, and various Yogic practices give the energy and the strength to the human being to live long and peacefully. This present study was done to find out the selected asanas used to help manage lifestyle disorders efficiently.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Asanas, lifestyle disorders, Yogam, Strength

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Herbs are plants valued for their medicinal, aromatic and flavourful properties.Typically used in the preparation of traditional medicines, as fragrance, cooking, herbs encompass a diverse group of plant species. Herbal tea is basically a mixture of different types of medicinal plant parts which have potent medicinal value in it. The aim of present review is to exemplify ingredients used in the formulation of herbal tea. It is a preparation which have the ability to boost up the immunity, relieve stress, keeps active without any tiredness and anxiety. The medicinal values of herbal tea (mixture of herbs) have maximum therapeutic benefits and suitable for consumption. The action of herbal tea is slow but it shows therapeutic effect for long time period.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal Tea,Antioxidant,ImmunityBooster,Antibiotic,Antibacterial

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Intracranial bleeding is a critical medical issue caused by blood flow within the skull or nearby spaces due to factors like high blood pressure, head injuries, or blood vessel ruptures. Prompt and accurate diagnosis is essential for better patient outcomes. To address this challenge, we employ powerful pre-trained models such as ResNet 101 and Inception V3 to identify crucial features in medical images, enhancing the model's ability to pinpoint key areas. The classification process utilizes a diverse range of machine learning and deep learning algorithms like AdaBoost and Logistic Regression, each with its unique strengths. By combining these methods, we can more precisely detect instances of intracranial bleeding. Evaluating our methodology with measures like accuracy, sensitivity, specificity, and F1-score ensures the effectiveness and dependability of our tool for detecting brain hemorrhages.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ResNet-101, Inception-V3, Adaboost, Logistic Regression

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The cosmetic industry exerts a significant influence over women worldwide, encompassing a broad array of products and services designed to enhance physical appearance. This industry, which includes skincare, makeup, hair care, fragrance, and personal care products, shapes societal perceptions of beauty, self-esteem, and cultural norms. With its pervasive presence in media, advertising, and popular culture, the cosmetic industry plays a pivotal role in defining beauty standards and influencing consumer behavior. This paper aims to provide a comprehensive examination of the multifaceted impact of the cosmetic industry on women, exploring various themes such as body image, financial burden, empowerment, health concerns, gender stereotypes, and representation. By delving into these aspects and incorporating relevant data, this research seeks to offer a deeper understanding of the complexities inherent in beauty culture and advocate for positive change.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Body positivity , women , cosmetics , outward beauty

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Two sets of field experiments were conducted during the June-August months at the experimental farm of Bharath Institute of Higher Education and Research, Selaiyur of Chingleput district under irrigated conditions to trace the effect of integrated nutrient management and to assess the yield performance of sunflower +apiary farming system. The experiment consists of two main treatments; i.e, Sunflower alone (M1) ,Sunflower with apiary (M2) and nine sub treatments i.e, Control (S1), 100%RDF (S2), 100%RDF + Azospirillum (S3), 100% RDF +Phosphobacteria (S4), 100% RDF + Vermicompost (S5), 100%RDF+ Azospirillum + Phosphobacteria (S6), 100%RDF+ Vermicompost+ Azospirillum (S7), 100% RDF+ Vermicompost+ Phosphobacteria (S8), 100%RDF+ Vermicompost+ Azospirillum+ Phosphobacteria(S9) and it was laid out in split plot design with three replications .Highest performance for plant height, dry matter production, seeds/head, seed filling percentage, and seed yield were observed for the combined application of all three nutrient sources under sunflower + apiary ( M2) treatment by bee pollination. A sunflower crop combined with an apiary, however, had a more noticeable impact than a sunflower crop alone. In addition to the available natural feeding sources, the apiary should be given superior feeding for a longer period of time. Two times every week, 500ml of sugar syrup is provided as food. The development of apiaries in sunflower fields would bring additional compensation and guarantee the growers' ability to support themselves . Value of growing energy costs and restricted input availability and further the transition towards natural farming have led to an increase in the use of integrated nutrient management, which recycles organic waste and uses renewable sources of bio fertilizers. This study looked into how organic manures, inorganic fertilizers, and bio fertilizers (INM) affected sunflower growth and productivity as influenced in combination with apiary integration.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

(Keywords : sunflower, nutrient management, bio fertilizers, apiary , farming system, dry matter production, seed filling percentage, seed yield.)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The environmental issues related to the textile industry have gained global attention as it is producing large quantities of pollution and waste with various toxic substances and chemicals. Due to the growing awareness among people about the pollution caused by the textile industry, the chemical processes of the textile industry are being replaced with the bio-processing process. Textile bio-processing has become the preferred option to overcome the consequences of chemical treatment, as it is less harmful to the environment and also to the textiles. The use of enzymes in the textile industry can be considered the best possible use of the bio-processing technique. The use of enzyme treatments in the textile industry is very promising, as they are environmentally friendly, produce high-quality products, and reduce the use of water, energy, and time.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Textile industry, Bio-processing, Bio-scouring, Enzymes, Environment

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The National Education Policy 2020 is a visionary and comprehensive document that aims to improve the access, equity and quality of education in India. The policy emphasizes the need for a multidisciplinary approach in teacher training and emphasizing not only subject expertise but also a broader understanding of child psychology, pedagogical innovations, and socio-emotional learning. This study aims to find out the teacher educators' perception towards teacher education programme suggested by NEP 2020 with regards to their gender, qualification and experience. In this present study investigators have employed a descriptive survey method to explore the teacher educators' perception towards teacher education programme suggested by NEP 2020. The population of proposed study constituted all the secondary level teacher educators of Odisha. From that investigators selected 5 secondary level Teacher Education Institutions randomly and from each investigators select 10 teacher educators randomly. Data were analyzed by using mean, Standard Deviation and t-test. This study found that most of the teacher educators have balanced perception towards Teacher Education Programme. There exists no significant difference between male and female teacher educators' perception, high qualified and low qualified teacher educators' perception, and high experienced and less experienced teacher educators' perception towards Teacher Education Programme suggested by NEP 2020.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

National Education Policy 2020, Teacher Education Programme & Secondary Level Teacher Educators

  License

Creative Commons Attribution 4.0 and The Open Definition