Volume 13 | Issue 5 |

 Abstract

Industrial environmental monitoring using LoRa technology enhances safety and efficiency by wirelessly tracking key parameters. The system uses sensors to monitor temperature, gas leaks, water flow, and pH levels, ensuring safe operations and water quality. Data from these sensors is processed by a microcontroller and transmitted using LoRa, known for its long-range, low-power communication. This allows reliable data transfer across wide industrial areas. The received data is displayed in real-time on a dashboard or LCD screen. Continuous monitoring enables quick detection of anomalies like gas leaks or temperature spikes. This smart system ensures rapid response and improved operational control over the hazardous environments in the industrial sites which helps to react quick from any environmental changes swiftly to save the people in the area from getting affected. By leveraging LoRa technology, this system ensures efficient and reliable monitoring, enhancing both safety and operational efficiency

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 Keywords

Smart Monitoring, IoT, LoRa, Node MCU, Industrial safety, Long-range Monitoring, Low power consuming.

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 Abstract

The discussion of astro-ethics is fundamentally a part of applied ethics. Because it involves the philosophical engagement with and normative evaluation of novel & concrete moral challenges arising from humanity's expanding presence beyond Earth, such as those concerning the exploration of outer space, the potential existence of non-terrestrial life, the stewardship of the celestial environment & equitable use of extraterrestrial resources. The discussion of astro-ethics is usually not talked about too much in philosophy. Yet, this discussion is very much beneficial from the philosophical perspective because it enables us to think about right & wrong in new areas, changes how we understand our responsibilities & prepares us to deal with the big ethical or moral questions that come with exploring & living in space. This article explores various key aspects of astro-ethics, such as - its nature, origin, and related ethical guidelines, etc. This article explores certain ethical deficiencies within the domain of astro-ethics and seeks to deepen their philosophical significance by situating them within the framework of some philosophical theories, such as environmental ethics, deep ecology, Rawlsian ethics, Mill's utilitarianism and Kantian ethics, thereby enriching the discourse with broader normative perspectives. Thus, it can be said that this discussion holds philosophical originality while also bearing significant practical relevance, bridging philosophical inquiry with real-world ethical implications.

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 Keywords

astro-ethics, outer space, ethical deficiency, environmental ethics, deep ecology, Rawlsian ethics, Kantian ethics, Mill's utilitarianism, philosophical originality, practical relevance.

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 Abstract

Embelia tsjeriam-cottam, commonly referred to as Vidanga, is a climbing shrub indigenous to the Western Ghats region of India and belongs to the Myrsinaceae plant family. It is highly regarded in traditional medicine for its wide range of healing benefits, notably its anti-fertility, anti-estrogenic, and anti-parasitic properties. The plant is rich in active compounds, especially embelin, a phenolic substance recognized for its antioxidant and anti-inflammatory effects. Although its fruit is not commonly consumed, it contains a high concentration of beneficial phytochemicals. Due to its close resemblance in appearance and medicinal uses, Embelia tsjeriam-cottam is often mistaken for Embelia ribes and is sometimes called "False Black Pepper" because of its similarity to Piper nigrum. Modern pharmaceutical studies highlight its potential in managing conditions like inflammation, bacterial infections, diabetes, and liver disorders. However, environmental threats to its native habitat make its conservation an urgent concern

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 Keywords

Embelia tsjeriam-cottam ,Embelin , Phytochemicals, Traditional medicine

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 Abstract

In disaster-stricken areas, the ability to rapidly locate survivors and deliver essential aid can significantly influence survival rates and recovery efforts. However, traditional search and rescue (SAR) operations are often hindered by inaccessible terrain, hazardous conditions, and the time-sensitive nature of emergency response. To address these challenges, this paper presents the design and development of an autonomous drone system tailored for SAR missions. The proposed drone integrates a Pixhawk 6C flight controller, GPS navigation module, high-definition Wi-Fi camera, and Mission Planner software to enable autonomous flight, real-time aerial surveillance, and precise payload delivery. The system is capable of executing missions with minimal human intervention while providing live telemetry and video feedback to ground teams. Field tests conducted in controlled environments demonstrate the drone's reliability, accuracy, and endurance under simulated disaster conditions. This research highlights the potential of UAV technology to enhance emergency response efficiency, reduce operational risks, and deliver critical supplies swiftly in regions where traditional methods fall short.

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 Keywords

Autonomous Navigation, Disaster Management, Pixhawk 6C, Search and Rescue Drones, UAVs.

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Closed captioning is essential for making video content accessible to people with hearing impairments, but manual transcription can be time-consuming and costly. AI and Machine Learning (ML) have introduced automated solutions that enhance the efficiency and accuracy of closed captioning. Using deep learning models for speech recognition and natural language processing (NLP), AI systems can generate precise captions in real time. This approach addresses challenges like noisy audio and varying accents, offering a scalable solution that improves accessibility and user experience across diverse multimedia platforms.

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 Keywords

Closed Captioning, OpenAI, Natural language Processing (NLP), Machine learning (ML), Whisper

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India possesses the most substantial livestock population globally. To satisfy both current and anticipated demands of the expanding human demographic, it is imperative to adopt innovative strategies to fulfill the input requirements to produce livestock and their derived products. Although India ranks first in the world regarding milk production and bovine population, the average productivity still necessitates enhancement; this may be attributable to a suboptimal nutritional status resulting from inadequate availability of high-quality fodder and feed. Consequently, there has been a concerted effort to identify alternative sources of superior-quality unconventional feed and fodder to facilitate efficient livestock production. In the quest for substitutes to traditional concentrates and fodder/feed for various animal species, a remarkable plant known as azolla has emerged, which holds significant promise as a sustainable feed source for livestock. Given that azolla encompasses the majority of nutrients requisite for all categories of livestock, including poultry and fish, it can be administered to these animals without any detrimental effects. Numerous studies have indicated that the incorporation of azolla in the diets of dairy cows can enhance milk production by 15 to 20 percent.

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Azolla, livestock, cow feed, azolla production, sustainable

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Creative Commons Attribution 4.0 and The Open Definition

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Traditional attendance systems are inefficient, time-consuming, and susceptible to manipulation. This paper presents an automated, contactless attendance monitoring system using face recognition technology. The system employs Haar Cascade Classifier for face detection and the LBPH algorithm for face recognition. Developed using Python, OpenCV, and MySQL, this solution captures student images, trains a recognition model, detects faces in real time, and logs attendance in a structured database. Experimental results show promising accuracy under controlled environments, making this a scalable and efficient alternative to manual systems

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no

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Fire hazards pose a serious risk to lives and infrastructure, necessitating advanced, automated solutions for rapid detection and suppression. This project presents an ESP32-based IoT fire-fighting robot that operates in both automatic and manual modes, integrating Blynk IoT for remote monitoring and control. The system is equipped with IR flame sensors to detect fire sources, DC motors for mobility, and a servo-controlled water pump for extinguishing fires.In automatic mode, the robot continuously scans its surroundings for fire, moves toward the detected source, and activates the water pump to extinguish the flames. The servo motor adjusts the water spray direction to ensure efficient fire suppression. Once the fire is eliminated, the robot resumes patrolling. In manual mode, users can remotely navigate the robot and control fire suppression using the Blynk mobile app, which provides real-time sensor data and operational status.The ESP32 microcontroller ensures seamless Wi-Fi connectivity, allowing real-time updates and remote operation via Blynk. The integration of motor drivers (L298N), flame sensors, and actuators ensures reliable performance in dynamic environments. Experimental results demonstrate the effectiveness of this robot in detecting and responding to fire hazards, with successful implementation of remote control and autonomous navigation.Future enhancements could include thermal imaging for precise fire detection, AI-based path planning for autonomous navigation, and integration with LoRaWAN or GSM for long-range connectivity. This project contributes to the advancement of IoT-based fire safety solutions, offering a scalable and efficient approach to fire management in hazardous environments.

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Keywords:wifi,esp32,IoT,DC motors

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 Abstract

Landlocked developing countries (LLDCs) have historically faced substantial economic disadvantages due to their lack of direct access to seaports, resulting in high transport costs, limited market access, and dependency on transit nations. However, the rise of digital trade is redefining these limitations by enabling economic activities that bypass traditional physical constraints. This paper explores how digital trade--including e-commerce, digital services, and data flows--is transforming the economic landscape of landlocked states. Through a comprehensive analysis of the structural challenges LLDCs face and detailed case studies of Rwanda, Kazakhstan, Bolivia, and Armenia, the paper highlights how strategic investment in digital infrastructure, innovation ecosystems, and supportive policy frameworks can drive inclusive growth. It also discusses key enablers such as education, regional cooperation, and cybersecurity, while addressing persistent barriers like the digital divide and regulatory fragmentation. Ultimately, the paper argues that digital trade presents a vital opportunity for landlocked states to achieve greater economic integration, resilience, and prosperity in an increasingly interconnected global economy.

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NEPAL:How Digital Trade is Transforming the Economies of Landlocked States

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This study explores employee perceptions of talent management practices within Manufacturing Industries India Pvt. Ltd. Talent management has emerged as a critical factor in enhancing organizational performance and retaining skilled employees, especially in the competitive landscape of the manufacturing sector. The research aims to assess how employees view various aspects of talent management, including recruitment, training, career development, and retention strategies. Data collected through surveys and interviews provides insights into the effectiveness of current practices and highlights areas for improvement. The findings are intended to support strategic HR decisions and promote a more engaged and productive workforce. The descriptive research design is used in this study. The sample size of 217 has been determined using Morgan's formula. Tools used in this study were chi-square, Kruskal-Wallis, and correlation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Career Development, Training and Development, High potential Employees.

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Creative Commons Attribution 4.0 and The Open Definition