Volume 12 | Issue 5 |

 Abstract

Climate financing is a critical component of global economic development strategies, particularly in the face of the complex challenges posed by climate change. This financing involves the allocation of resources to initiatives aimed at mitigating climate change effects and enhancing resilience to its impacts. It plays a vital role in driving transformative changes across various sectors, steering economies toward sustainability and resilience. One primary role of climate financing is to strengthen climate resilience by investing in climate-resilient infrastructure, early warning systems, and housing. These investments not only protect lives and livelihoods but also lay the foundation for sustainable economic growth. Additionally, climate financing supports mitigation efforts, facilitating the transition to low-carbon economies powered by renewable energy sources and sustainable practices. This includes investments in clean energy infrastructure, energy efficiency initiatives, and sustainable transport systems, which not only reduce greenhouse gas emissions but also create new economic opportunities and jobs. Furthermore, climate financing stimulates innovation by incentivizing investments in green technologies and sustainable practices. By supporting research and development in clean energy and climate-smart technologies, it fosters competitiveness and drives economic diversification. Additionally, proactive adaptation measures supported by climate financing help mitigate the economic costs associated with climate change impacts, safeguarding economic productivity and livelihoods. Climate financing promotes inclusive and sustainable development by prioritizing investments in vulnerable communities and ensuring equitable distribution of benefits. Through mechanisms such as climate funds and international cooperation, it channels resources to developing countries to support climate adaptation and mitigation efforts, fostering global collaboration and resilience.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Climate financing, Economic development, Resilience-building, Mitigation efforts, Sustainability

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Polyherbal phrasings always have lower or no side effects comparatively with synthetic. The end of present study involves medication of Polyherbal hair oil painting using the herbal constituents like. Hibiscus, Neem, Curry leaves, Tulsi, Fenugreek seeds, Amla, Eucalyptus leaves, Coconut oil painting, and Almond Oil. Grounded on the below compliances, admixture of crude medicines was prepared in the form of Polyherbal hair oil painting by boiling system. We've used Sevan formulas using different herbal medicines and all the expression are showinganti-hairfall property with some of other salutary conditioning likeanti-dandruff exertion, improves blood rotation to the crown and roots, reduce hair saturation,anti-fungal exertion, reducing the whitening of the hair. The formulated Polyherbal oil painting was estimated by using colorful parameters similar as Organoleptic parcels, specific graveness, stability, density, Acid value, pH etc. and the value attained from it are set up to be analogous to that of the standard values like there's no sedimentation, no grit and shows satisfying organoleptic parcels and the results were determined and are reported in this work.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hair oil, herbs, formulation, preparation, evaluation, results and discussion.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Freshwater mites belonging to the family Unionicolidae are commonly found in association with freshwater mussels and snails across lakes and streams worldwide, excluding Antarctica. Among the 265 known species of Unionicolidae, the majority are known to be associated with molluscs at least during one stage of their life cycle. This study presents a new host record from India: Unionicola (Myanamaratax) savadiensis was discovered on the host Lamellidens corrianus. Although U. savadiensis was also found with two other mussel species, Lamellidens marginalis and Corbicula cashmiriensis, DNA evidence confirms a parasite-host association specifically between U. (M.) savadiensis and L. corrianus, suggesting that its presence on the other mussel species may be considered as 'vagrant' associations. This report holds significance for two main reasons: firstly, it expands our understanding of mite-mussel associations by documenting new host and geographic associations, and secondly, it underscores the importance of interdisciplinary collaboration involving experts from acarology, malacology, and molecular biology to elucidate the nature of mite-mussel associations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Freshwater mites, Molluscs, Lamellidens marginalis, Unionicola, Gomti River

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Study of indigenous medicine is the new horizon of medicine. Backed by effectiveness of secondary metabolites, plant extracts of Holoptelea integrifolia have been used since ages in curing routine maladies of skin and pain management. Also known as Indian elm tree or jungle cork tree, it is widely distributed along Sino-India and Indo-Myanmar region. Pharmacological studies indicate the effectiveness of isolated secondary metabolites like terpenoids, sterols, tannins, saponins, alkaloids and other biomolecules in treating alleviating symptoms of various skin infections, rheumatism and cancer. Although, studies are still required to trace the biochemical interactions of these molecules and target tissues along with toxicity assessment, it sure is a potential candidate in preventative medicine.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key Words - indigenous, secondary metabolite, rheumatism, toxicity assessment.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In recent years, the landscape of marketing has witnessed a significant transformation, largely propelled by the advent and widespread adoption of social media platforms. Among the myriad of marketing strategies that have emerged, influencer marketing has emerged as a prominent and impactful approach for brands to connect with their target audiences in a more authentic and engaging manner. This phenomenon has garnered immense attention from marketers, researchers, and consumers alike, owing to its potential to shape consumer behaviors, influence purchasing decisions, and foster brand loyalty. India, with its burgeoning digital population and rapidly evolving social media landscape, stands at the forefront of this paradigm shift in marketing practices. As one of the world's largest markets for social media consumption, India presents a fertile ground for exploring the effectiveness of influencer marketing and its implications on consumer behavior, particularly in terms of loyalty and intention to follow influencers. The essence of influencer marketing lies in its ability to leverage the social capital and authority wielded by individuals who possess a significant following and influence on various social media platforms. These influencers, often individuals with expertise, credibility, or charisma within specific niches or industries, have the power to sway consumer perceptions, preferences, and purchasing decisions through their content and recommendations. Unlike traditional advertising approaches, which may be perceived as intrusive or insincere, influencer marketing thrives on the principles of authenticity, relatability, and trust, thereby fostering deeper connections between brands and consumers. Central to the effectiveness of influencer marketing are several key factors that warrant exploration and scrutiny. Firstly, the level of social media engagement generated by influencers plays a pivotal role in determining the reach and impact of their content. High levels of engagement, characterized by likes, comments, shares, and interactions, not only amplify the visibility of brand messages but also signify the resonance and relevance of the content with the target audience. Moreover, the relevance and authenticity of the content shared by influencers are crucial determinants of their effectiveness as brand ambassadors. Consumers today are discerning 5 and value authenticity, preferring content that aligns with their interests, values, and aspirations. Thus, the ability of influencers to create compelling, relatable, and value-added content that resonates with their followers holds immense significance in driving consumer engagement and brand affinity. Furthermore, the role of customer feedback and reviews in shaping consumer perceptions and purchase intentions cannot be understated. In the digital age, consumers have unprecedented access to information, reviews, and testimonials, which significantly influence their decision- making process. As such, the manner in which influencers navigate and respond to customer feedback, as well as the authenticity and credibility of their endorsements, can profoundly impact consumer trust and loyalty towards the brand. Additionally, the integration of influencer marketing across multiple channels and touchpoints is essential for maximizing its reach and effectiveness. Cross-channel integration enables brands to amplify their message and engage with consumers across various platforms, thereby enhancing brand visibility and fostering a cohesive brand experience. Moreover, the concept of media richness, which pertains to the degree of interactivity and sensory cues present in communication channels, has significant implications for influencer marketing effectiveness. Platforms that offer rich media formats, such as videos, live streams, and interactive content, facilitate deeper levels of engagement and emotional connection with audiences, thereby enhancing the persuasive impact of influencer endorsements. Furthermore, the phenomenon of narcissism, both among influencers and their followers, merits attention in the context of influencer marketing effectiveness. Narcissistic tendencies, characterized by self-promotion, vanity, and a desire for admiration, may influence the content creation, engagement strategies, and consumer perceptions associated with influencer marketing campaigns. Against this backdrop, this study seeks to investigate the effectiveness of influencer marketing in the Indian context, with a focus on social media engagement, content relevance, customer feedback and reviews, cross-channel integration, media richness, interactivity, and narcissism. By examining the interplay between these factors and their impact on consumer loyalty and intention to follow influencers, this research aims to offer valuable insights for marketers, brands, and policymakers navigating the dynamic landscape of digital marketing in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Influencer Marketing, Social Media Engagement, Content Relevance, Customer Feedback And Reviews , Cross Channel Integration, Media Richness , Interactivity And Narcissism Upon Loyalty And Intention

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Over the past few years, the annexation of co-curricular activities (CCAs) in experiencing learning and assessing grammar competence has increasingly been filtered into educational discourse in the EFL context. The empirical evidence based on questionnaires shows that traditional methods in grammar learning do not foster learners' potential development and confidence in assessment tests. Learners are taught and assessed in different grammar components following only academic resources via close tests. This paper proposes to include co-curricular activities with academic content in a weekly lesson plan for experiencing grammar learning and assessment tests to 25 cohorts of the 1st semester of the Department of English at a private university in Bangladesh. This paper collected data through triangulation methods through observation, interviews, and focus group discussion using sociocultural theory (SCT). In this study, CCAs comprised drama, song, and debate to reinforce their ways of learning grammar, foster critical thinking, and assess grammar competence while writing scripts, lyrics, and speeches. It intended to launch a transformative approach with the inclusion of CCAs to remove inhibition and fear of the learners in grammar learning and assessment tests by creating a collaborative intervention with peers, teachers and learning contents. This paper investigated how CCAs facilitated academic grammar learning and worked as an effective means to engage learners comprehensively, reduce their affective filters implicitly, and thus, significantly impact the achievement of continuous classroom assessment. This paper may give learners and teachers a new vision of learning and assessing grammar in the EFL context.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Experiencing Grammar learning, Co-curricular Activities, Transformative Approach, Assessing Grammar Competence, EFL (English as a Foreign Language) Context

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A lot of bank benefits are gotten from credits. in any event, when a sizable part of the populace applies for credits. It's trying to choose the serious borrower who will reimburse the advance. While choosing the real candidate physically, there may be a couple of misconceptions. We are subsequently fostering an AI based credit expectation framework that will pick the qualified competitors all alone. Both the candidate and the bank staff benefit from this. The span of advance authorizing will be essentially abbreviated. In this review, we foresee credit information utilizing AI methods, especially Choice Trees. Besides, procedures for addressing class awkwardness and model interpretability are investigated to guarantee the unwavering quality and straightforwardness of the prescient framework. Interpretability strategies, for example, highlight significance investigation and fractional reliance plots are utilized to clarify the variables impacting credit endorsement choices. The proposed ML structure exhibits promising outcomes in precisely foreseeing advance endorsement results while giving bits of knowledge into the elements affecting loaning choices. By utilizing this prescient model, monetary foundations can smooth out their advance endorsement processes, lessen dangers, and improve effectiveness, at last working with admittance to credit for meriting candidates while protecting against expected defaults.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gradient boosting, Random Forest, Decision Tree, Machine learning, Loan Prediction.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This groundbreaking application aims to achieve real-time color shade identification, offering precise predictions of color names--a task that poses inherent challenges for computers despite humans excelling in this domain. Leveraging the powerful NumPy and OpenCV libraries in Python, this paper employs unique methodologies. OpenCV, known for its optimized Computer Vision tools and crucial hardware support, forms the backbone of this technology, pivotal not just in Artificial Intelligence applications but also in transformative fields like self-driving cars, robotics, and photo correction apps. This endeavor seeks to narrow the gap between human color perception and computational capabilities, revolutionizing computer vision and enhancing various industries' efficiency in color identification and prediction.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

RGB Color Extraction, OpenCV GUI, Image Processing Interface.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence is more than just a new technology used for its "cool factor". AI implementation has the ability to have a wide-ranging impact on your organization's business processes. At its heart, artificial intelligence is a collection of several technologies capable of executing tasks that require human intelligence. When applied to typical corporate tasks, these technologies can learn, act, and execute at human-like levels of intelligence. It is utilized to replicate human intelligence in machines, which saves us time and money when conducting business. Artificial intelligence has grown in popularity as information and communication technology has advanced. Companies in today's e-commerce industry primarily seek to influence client behaviour in favour of specific products and brands. The use of artificial intelligence as an innovative tool in the sphere of e-commerce may appear to be a favourable development. The article focuses on the fundamentals of e-commerce and artificial intelligence, as well as their advantages. The goal is also to assess the significance of artificial intelligence and its application in the context of e-commerce using available studies on the subject.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence, Machine learning, E-commerce, industries, communication technology

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The term Disaster' originated from the French word 'Desastre' which is the combination of the atticle - 'des' and 'astre' meaning 'star'. Social disaster isanevent which may cause tremendous disruption to a society, such as natural disasters, pandemics, civil unrest, wars and economic crises. A Social disaster is the highly harmful impact on a group, society or community which is usually caused by a social or natural hazard event. We define Society as a group or aggregate of people living together in an organized and structured way and sharing the work that needs to be done. Social disasters are usually out of human control and they have huge repercussions on the society just like a war or combat or a similar natural disasters. Some examples of social disaster events may include: terrorism, flooding, drought, earthquake. A social disaster can cause loss of life or damage to the property. The severity of the damage depends on the affected population's resilience and also on the infrastructure of the populations country. Natural disaster and Social disaster are both interrelated.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Disaster, Society,Community, Hazard, Social Disaster, Flood, Drought, Natural Disaster.

  License

Creative Commons Attribution 4.0 and The Open Definition