Volume 13 | Issue 5 |

 Abstract

This study analyses the strategic use of social media platform like Facebook, Instagram, LinkedIn, and YouTube by real estate agents to draw in, interact with, and win over new customers. For real estate marketers and agents looking to maximize their digital marketing efforts, the study also looks at the cost-effectiveness and conversion rates of social media leads in comparison to more conventional approaches. In addition to identifying the most effective platforms in terms of reach, engagement, and lead conversion, the study also examines the kinds of content that draw audience interest and encourage interaction, including virtual property tours, client recommendations, helpful posts, and influencer partnerships. The role of advanced features like Facebook Ads Manager, the platform Stories, LinkedIn Sponsored Content, and YouTube is examined in detail to understand how they contribute to lead generation effectiveness.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

real estate marketing, social media, lead generation, Facebook Ads, YouTube.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing use of cloud services in healthcare enables cost-effective sharing of Personal Health Records (PHRs) but raises serious privacy and security concerns. To address this, we propose a framework based on Attribute-Based Encryption (ABE), which provides fine-grained, attribute-driven access control over encrypted PHRs stored on untrusted cloud servers. A trusted authority manages key generation, attribute distribution, and access policies, ensuring protection against insider threats and forward and backward access control. Formal analysis using High-Level Petri Nets (HLPN) and performance evaluation shows that the ABE-based system offers an effective and secure solution for sharing PHRs in the cloud.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Health Information Security, Patient Confidentiality, Electronic Health Records (EHR) , Data Privacy , Cybersecurity , HIPAA (Health Insurance Portability and Accountability Act), Access Control , Encryption Authentication , Data Breach

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India is a land full of culture, tradition, and spirituality where every region has its own unique way of connecting with the divine. One thing that beautifully ties many of these practices together is the use of flowers. Whether it's a simple daily offering or a grand festival celebration, flowers are seen as a pure and heartfelt symbol of devotion. Because of this, there's always a strong need for a variety of flowers across the country and, India is also land of rich traditions, where culture and rituals are deeply woven into everyday life especially during weddings and festivals. Flowers play a big role in these events, often used as offerings to deities or for decoration, making them an essential part of our cultural fabric. Because of this, there's always a high demand for different kinds of flowers. But for many farmers, knowing which flowers will grow best in their soil can be a challenge, Though the flower farming has become a popular and profitable branch of agriculture where the demand is been increasing every year, but choosing the right flowers to grow can be slightly difficult. Farmers often struggle with factors like local climate, soil conditions, and changing market demand. This research introduces a farmer friendly Flower Farming Recommendation Application designed to help farmers make smarter and better decisions, were flower By taking in simple inputs like NPK and Ph, values the application, suggests the most suitable flowers to cultivate in a specific region, fertilizer deficiency, irrigation method, market demand and also harvesting type .It uses sensor for data collection and cloud web application to get the suggestions which can be helpful to improve both soil and flower yield. This web application is easy to use with the soil data, especially for small and mid-scale farmers, and encourages more efficient, sustainable farming. This paper explores how the soil data is collected, how to use that data so it can suggest the best flower for that field with required amount of fertilizers also.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture, Flower Farming, Precision Farming, Npk, Fertilizers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Aranyaka: Book of the Forest, a graphic novel, has been created by Indian mythologist Devdutt Pattnaik and graphic designer Amruta Patil. Aranyaka means the forest, and narratives written on it explore mysticism and symbolism. They represent the natural progression of the Upanishads. Aranyaka links the Brahmanas' focus on Karma marga and the Upanishads' emphasis on jnana marga. The graphic narrative is an artistic representation of the Vedas and the environment. The novel begins with the cosmic representation and evolution of the planet Earth and unfurls with Yajnavalkya and Katyayni digging forest for more knowledge and searching for their self. This article examines how Aranyaka graphically and narratively articulates the underlying environmental consciousness within Vedic cosmology, revealing how the graphic novel functions as a strong medium for learning and appreciating the ecological knowledge buried in ancient Indian writings. The paper investigates the novel through sacred ecology and mythopoeic vision.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brihadaranyaka Upanishad, Mythopoeic, Symbolism, Vedic Cosmology, Environmental Consciousness, Graphic Narrative

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In response to growing energy demands and environmental concerns, this project focuses on enhancing the energy efficiency of an institutional building through simulation-based analysis using eQUEST software. By modelling critical parameters such as HVAC systems, lighting, plug loads, occupancy schedules, and building envelope features, the study aims to identify potential inefficiencies and explore strategies for improved performance. This approach supports data-driven decisions that promote sustainability, cost-effectiveness, and energy-conscious design in the built environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Energy Modelling, Energy Analysis, eQUEST, HVAC Systems, Energy Efficiency, Sustainable buildings.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Driver drowsiness is a leading motive of road accidents, in particular in heavy automobiles. This paper pro poses a value-powerful drowsiness alert machine included with danger manipulation functions to mitigate injuries and improve street protection. The system employs computer imaginative and prescient strategies to hit upon driving force fatigue via real-time monitoring of eye actions and conduct. A custom dataset of drowsy and alert states was developed the usage of information accumulated from volunteers simulating drowsiness. The proposed device routinely activates risk alerts to alert close by cars, improving safety in essential situations. results exhibit high accuracy in drowsiness detection and fast risk activation, making this answer feasible for enormous adoption.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Driver Drowsiness Detection Vehicle Safety Systems Artificial Intelligence (AI) Machine Learning Advanced Driver Assistance Systems (ADAS) Cost-Effective Safety Solu tions Sensor Technology Real-Time Monitoring Accident Preven tion Hazard Control Internet of Things (IoT) Behavioral Analysis Road Safety Automotive Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study compares different Building Plan layouts to determine their effectiveness in meeting specific needs and goals. The analysis focuses on efficiency, aesthetics, and user experience as key evaluation criteria. The study uses a mixed-methods approach, combining qualitative and quantitative data collection and analysis methods. The results show that each layout type has its strengths and weaknesses, and the most effective layout depends on the specific context and user needs. The study provides insights and recommendations for designers, architects, and decision-makers to create effective and efficient Building Plan layouts that meet user needs and goals. This study conducts a detailed comparative analysis of different Building Plan layouts commonly implemented in residential and commercial building designs. The focus is to assess the efficiency, functionality, and occupant satisfaction across various layout types, including open-plan, compartmentalized, studio-style, and hybrid configurations. Using architectural modeling software (such as AutoCAD and Revit) and post-occupancy evaluation methods, the study evaluates each layout based on space utilization, natural lighting, ventilation, privacy, acoustic performance, and adaptability. The study concludes that Building Plan effectiveness in buildings depends on functional requirements, user behavior, and environmental context. The findings aim to guide architects, builders, and planners in selecting context-appropriate layout strategies that align with both user expectations and architectural performance standards

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Building Plan layouts L-type, Rectangular Type, Autodesk Revit

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In many developing countries, motorcycles are one of the most common modes of transportation. Unfortunately, the number of motorcycle-related accidents has been increasing in recent years, with the lack of helmet usage being a major contributor to fatalities. Traditionally, helmet enforcement is carried out manually by traffic police at road junctions or by reviewing CCTV footage to identify violators. However, these methods are labor-intensive and require continuous human involvement. To overcome these challenges, this paper proposes an automated system that detects motorcyclists who are not wearing helmets and identifies their vehicle registration numbers from CCTV footage. The system begins by classifying moving objects as either motorcycles or non-motorcycles. Once a motorcycle is detected, it analyzes the rider's head region to determine whether a helmet is present. If a helmet is not detected, the system proceeds to locate the motorcycle's number plate and uses Optical Character Recognition (OCR) to extract the characters for further.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Helmet Detection, Machine Learning, OpenCV, OCR, deep learning , Image Selection ,Extraction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Atrial fibrillation (AF) is a significant risk factor for stroke, and direct oral anticoagulants (DOACs) are used for stroke prevention in patients with Atrial Fibrillation. A stroke, also known as a cerebrovascular accident (CVA), is a medical condition that occurs when the blood supply to a part of the brain is interrupted or significantly reduced, depriving brain tissue of oxygen and nutrients. This can lead to the rapid death of brain cells (1). Stroke can be classified into two main types: ischemic and hemorrhagic. Ischemic strokes, the more common type, are caused by a blockage in a blood vessel supplying the brain, often due to a clot (2). Hemorrhagic strokes occur when a blood vessel in the brain bursts, leading to bleeding within or around the brain tissue. The most prescribed drugs for stroke with atrial fibrillation include Apixaban, Rivaroxaban, Dabigatran . Stroke Specific Quality of Life Scale (SSQOL) is used to assess the health-related quality of life of patients with neurological conditions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cerebrovascular accident, Transient ischemic attack ,Atrial Fibrillation, Direct Oral Anticoagulant, Stroke specific quality of life scale, Medication adherence assessment scale.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Euphorbia hirta is a well-known medicinal herb valued for its extensive therapeutic benefits. Scientists analyze its chemical composition through phytochemical studies, which involve identifying and isolating bioactive compounds from different parts of the plant, including the leaves, stems, and roots. Research has shown that Euphorbia hirta contains various beneficial substances such as alkaloids, flavonoids, terpenoids, saponins, tannins, and glycosides. These compounds contribute to its potential as an antimicrobial, anti-inflammatory, antioxidant, and anticancer agent. Traditionally, Euphorbia hirta has been used to address a range of health concerns, including respiratory disorders, digestive ailments, and skin conditions. Its diverse chemical makeup highlights the possibility of utilizing it as a natural therapeutic resource. However, further scientific investigations are needed to better understand how these compounds work, enhance extraction methods, and evaluate the plant's safety and effectiveness in medical applications. Phytochemical research continues to explore Euphorbia hirta's medicinal potential, with advanced techniques such as thin-layer chromatography (TLC), high-performance liquid chromatography (HPLC), and spectrophotometry aiding in the identification and quantification of its bioactive components. Despite promising findings, additional studies are required to refine its use in pharmaceutical formulations and confirm its efficacy. Ongoing research is essential to fully unlock the healing properties of this plant and integrate its benefits into modern healthcare practices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Euphorbia hirta, phytochemical analysis, Plants, Medicinal, Flavonoids, Terpenoids, Healthcare

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Creative Commons Attribution 4.0 and The Open Definition