Volume 12 | Issue 4 |

 Abstract

: We ran a health survey with the help of google forms which provided concise data of the individuals including their medications. This research investigates the status of diabetes and its associated complications in the Indian population. Utilizing a dataset of studied individuals, this study analyzes demographic, health-related, and diabetes-specific metrics to draw a comprehensive picture of diabetes management and its challenges in India. The paper assesses various factors, such as age at detection, blood glucose levels, medication usage, comorbidities like hypertension and diabetic retinopathy, as well as economic considerations impacting medication accessibility. Key findings highlight the heterogeneity in diabetes onset, control, and management strategies, underscoring the complex interplay between health education, healthcare access, and socioeconomic status. The research underscores the need for individualized care plans, increased health literacy, and improved affordability of diabetes care. This research aims to contribute to the dialogue on enhancing diabetes care in India, poised on the cusp of a diabetes epidemic, and explores the broader implications for public health policy and patient empowerment.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Name, Contact Number, Gender, Weight, Height, Age, Blood Group, Community, Occupation, Education, Address, Chronic Disease, Diabetes Detection, Blood Glucose Level, Prescription, Medicines, Dosage, Brand Name, Company Name, Disease History, Hypertension, Diabetic Retinopathy, Hb1Ac Value, Medication Affordability, rationalization.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research explores the development of a cost-effective and efficient Radar System controlled by Arduino, utilizing ultrasonic sensors and servo motors. Traditional Radar Systems, reliant on radio waves, often face limitations such as extended detection times, short ranges, and high costs. In response, this study proposes an innovative approach using ultrasonic sensors, providing a real-time, accurate detection of objects within defined ranges. The system employs an Arduino Uno board, connecting ultrasonic sensors to servo motors for rotational coverage. Visual representations, including object angles and distances, are generated via the Processing IDE, enhancing navigation, positioning, and object identification capabilities. Moreover, integration with an ESP32 cam facilitates IoT-based applications and live streaming, extending the system's utility to include mapping, tracking, and even automatic laser shooting mechanisms. This approach not only addresses the shortcomings of traditional Radar Systems but also offers a versatile, low-cost solution suitable for indoor applications, thereby paving the way for enhanced object detection and obstacle avoidance in various domains.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino, Ultrasonic sensor, Servo motor, Simulation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper explores the legal framework for minority rights in India, focusing on the constitutional protections and statutory provisions that safeguard the rights of religious, linguistic, and cultural minorities. The paper examines the historical context of minority rights in India, the challenges faced by minority communities, and the effectiveness of existing legal mechanisms in addressing these challenges. Through a critical analysis of relevant laws, judicial decisions, and government policies, the paper aims to assess the state of minority rights in India and propose recommendations for strengthening the legal framework for protecting minority rights.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Minority rights, Human rights, Constitution of India, Law, Judicial role

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review analysis is a multifaceted exploration of indigenous communities, focusing on the two PVTGs (Particularly Vulnerable Tribal Group) i.e. the Juang and Dongria Khond tribes of Odisha. The objectives are to review the cultural and livelihood practices of Juang and Dongria Khond, to compare the cultural and livelihood practices of Juang and Dongria Khond tribe of Odisha. The reviewer has analysed studies in order to deeply comprehend the culture and livelihood practices of these tribes. Research highlights the significance of traditional healthcare practices among the Juang and Dongria Khond emphasizing the preservation of biodiversity and traditional knowledge for sustainable healthcare and potential drug development. Moreover, it delves into the socioeconomic challenges faced by both tribes due to modernization and developmental interventions, advocating for aligned external interventions with traditional practices for sustainable development. Additionally, some researches illuminate the connection between preservation of agricultural knowledge and indigenous practices of the Dongria Khond, stressing the importance of maintaining sustainable practices rooted in local beliefs and festivals. Overall, these findings underscore the importance of holistic approaches that blend traditional wisdom with modern interventions to address the complex challenges faced by indigenous communities.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PVTGs, Juang tribe, Dongria Khond tribe, culture and livelihood

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dark web monitoring is a crucial aspect of cybersecurity and law enforcement, focusing on the surveillance and analysis of activities within the dark web, a hidden network accessible only through specialized software like Tor. This hidden network provides a haven for various illegal pursuits, including cybercrime, drug trafficking, and illicit trade. Detection, filtering, and analysis of illegal activities are essential components of dark web monitoring. Advanced technologies and methodologies, including machine learning algorithms, facilitate the identification and categorization of illicit content and behaviours across forums, marketplaces, and communication channels. Cybercriminals make full use of the hidden network called as Dark Web and they are hidden from the normal search engines which are publicly facing, to sell a variety of illicit products and services. A highly automated modular system called D-Monitor is described to help with the gathering and analysis of massive volumes of unstructured data. The system relies on a Python module named OnionSearch to collect URLs based on keywords we already define in our tool. and search through various search engines like Ahmia, tor66, and torgle. These keywords are not limited to already defined keywords, but more number of keywords can be added if required and expand our scope of data collection. The dark web's anonymity services safeguard user information protection, but they also provide the ideal setting for illicit and criminal operations including drug and gun trafficking, people trafficking, and illicit information transfers. A Python dark web monitoring crawler which is built by utilizing the tor network was created to gather and store a huge number of dark web site URLs in order to gain more information about the websites by searching using keyword parameter and find suspicious information and track criminals utilising the dark web to carry out illicit operations. The tool takes screenshots using the tbselenium module and displays them on the frontend, preserving anonymity and avoiding the need to rely on the Tor browser User Interface.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DarkWeb Monitoring system, Crawling of DarkWeb, Detect anomalies on dark web, Effective URL enumeration, Onion crawling using python, tbselenium module to crawl dark web.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review study highlights the ongoing complexities in understanding nonlinear brain dynamics despite recent researches. Neuroscience addresses these challenges by integrating brain structure and function, exploring innovative methods to map and model neurobiological systems. It leverages an empirical method for comprehensive mapping and dynamic pattern recording, alongside some proposed networks theories. This study comprises of the computational advancement along new scientific frontiers: probing network dynamics, controlling brain architecture, and integrating processes across diverse domains. The Electroencephalography (EEG) signal is a precise method for recognizing emotions during computer interactions. The review study explores emerging techniques of the neuroscience, aiming to illuminate brain understanding. It offers a compelling roadmap toward a deeper comprehension of complex brain functions and cognition.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotion, Electroencephalogram signal, emotional intelligence, state of the art, Comprehensive study

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research work examine production planning and control as a tool for minimizing defective products through effective production planning and control in R.R LATEX gloves manufacturing company. Hence the scope of the research cover every activity which has to do with production planning and control. The work covers statement of the general problems, research objectives, scope of the study, significance of the study and limitation of the study. Also diverse view of authors on production planning and control and other related areas in review. The research work employs the descriptive method for the purpose of an in-depth investigation. A sample size of 100 respondents was selected from the total population of 180 staff, questionnaire were administered to them, oral and verbal interview as well as obtaining information. Hypothesis H0 and H1 formulated on using effective production planning and control to minimize defective product in production performance. Date collected were presented and daily analysed in tabular format using percentages, other findings of the studying centered on the required raw materials used by the organization but sourced outside the country, government policies such as hinge tax payments, customers and excise charges contributes to high production cost with locally sourced raw materials not maintaining a stable price from time to time with future plans having limitation due to some government regulations, economic downs turn, environmental factors technological changes, competitors actions. The study also brought to the fore the importance of production planning and control in the role of forecasting in production and operation management. Finally based on the findings a number of quality recommendation were offered to the organization to embrace in raw materials sourcing using alternative means i.e. research and development department, the complete computerization of the control system and other key system should be pursued effectively.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Production Planning, Production Control, Quality Management, Process Improvement, Defective Product Management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Transdermal drug delivery was presented to overcome the difficulties of drug delivery especially oral route. Drug delivery through the skin a drug to achieve a systemic of drug is known as transdermal patches. Transdermal patches are widely used as cosmetic, topical, transdermal drug delivery system. Transdermal patch is medicated adhesive patch that is placed on the Skin to deliver a specific dose of medication through the skin and into the bloodstream. Topical administration of therapeutic agent's offers many advantages over conventional oral and invasive methods of drug delivery. Several important advantages of transdermal drug delivery are limitation of hepatic first pass metabolism, enhancement of therapeutic efficiency and maintenance of steady plasma level of drug. The basic components of transdermal patch consists of polymer matrixdrug reservoir, active ingredient (Drug), permeation enhancer, pressure sensitive adhesive, backing laminates, release liner, other excipients like plasticizer and solvent. There are many methods of preparation of transdermal patches like circular Teflon mould method, assymetric tpx membrane method, mercury substrate methods, IPM membrane methods, EVAC membrane method, free film method. Cellulose derivative, zein, gelatin, polyvinyl alcohol, polyvinyl chloride, polyethylene, polypropylene this are the polymers used in the preparation of transdermal patches. Also there are many evaluation parameter of transdermal patches like thickness, uniformity of weight, drug content determination, moisture content, moisture uptake, flatness, microscopic studies, adhesive studies, peel adhesion, tack properties, quick steel (peel tack method) test . This review article provides an overview of transdermal drug delivery system, its advantages over conventional dosage forms, drug delivery routes across human skin, permeation enhancer, and various preparation methods.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: TDDS, topical drug delivery, systemic blood circulation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media platforms like Twitter and Facebook serve as rich sources of user-generated content, offering valuable insights into public sentiment. This paper presents a novel approach to sentiment analysis using OpenAI's GPT-3.5-turbo model integrated with Python and Flask. Our model provides two key functionalities: predicting sentiment for individual social media posts and analyzing the overall sentiment of CSV files containing reviews. Leveraging the power of artificial intelligence, our system efficiently processes large datasets while generating accurate sentiment predictions. Additionally, we employ JavaScript libraries to visualize sentiment distributions, enhancing data interpretation. Through this research, we contribute a comprehensive framework for real-time sentiment analysis, empowering users with actionable insights into social media discourse.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment Analysis, Social media, Natural Language Processing, OpenAI GPT-3.5-Turbo, Flask, Text Mining.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Leaks of oil and gas pose serious safety and environmental threats. To address this, a reliable detection and alert system is crucial. This paper proposes a system utilizing high-sensitivity gas sensors to identify leaks. A central processing unit analyzes sensor data to trigger alarms and potentially activate automatic shut-off valves. The system boasts reliability through features like sensor redundancy and self-calibration. This translates to improved safety, reduced risk of accidents, faster response times, and potential cost savings. Applicable to pipelines, refineries, storage facilities, and various industries, this system enhances safety and environmental protection. Further research can explore advanced sensor technologies and data analysis methods for even greater effectiveness.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Oil and Gas Leak Detection, Leak Alert System, Gas Sensors, Central Processing Unit (CPU),Alarm System, Automatic Shut-Off Valve, Wireless Communication, Data Logging, Sensor Redundancy, Self-Calibration, Real-Time Leak Detection,Safety,Environmental Protection, Pipeline Monitoring, Refinery Safety, Storage Tank Leak Detection.

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Creative Commons Attribution 4.0 and The Open Definition