Uncategorized – ASSET

Learning to Analyze Public Health Inequities Using Open-Access Data: An Undergraduate Perspective

admin — Fri, 26 Dec 2025 09:15:49 +0000

Undergraduate students are increasingly engaging with public health questions and considerations about health inequities and social determinants of health, but very little attention has been devoted to how learners learn to responsibly and effectively navigate complex, population-level data. This abstract provides a reflection and education-focused overview of learning how to explore public health inequalities based on open access datasets through an undergraduate educational lens. Instead of offering any original epidemiological data, this article considers the methodological and conceptual problems students face working with public health data such as scale, interpretation, and ethical responsibility. We focus on how neighborhood-level variables are misinterpreted as risk factors at the individual level, and how framing can be used with caution to not overstretch relationships of causation or reproduce deficit narratives for marginalized populations. By using an educational lens, the abstract underscores the need for interdisciplinary training that blends quantitative logic, social context, and ethical consciousness as elements of undergraduate public health education. In doing so, students are taught how to critically engage with population-level data, leading them to appreciate structural determinants of health disparities while maintaining appropriate analytical boundaries. This strategy also helps to build upon foundational skills in terms of data literacy, public health communication and equity-centered reasoning. Taken together, this work discusses how undergraduate exposure to open-access public health data—combined with guided reflection and conceptual grounding—reinforces students’ capacity to interact critically with health inequities. This approach could prepare the next generation of scholars and practitioners who will be challenged by public health threats with rigor, humility, and social awareness.

Authors List :

Erica Yasuhara

Presenting Author :

Erica Yasuhara

Affiliations :

Wellesley College, MIT

Email :

ericayasuhara@gmail.com

Key Words (5 Words Maximum) :

Public Health Education; Undergraduate Learning; Data Literacy; Health Equity; Population Health

Advancements in Renewable Energy by Harnessing AI

admin — Fri, 06 Dec 2024 03:01:26 +0000

Artificial Intelligence, the simulation of human intelligence done by machines, has emerged as a powerful force across many industries. Artificial Intelligence uses methods such as machine learning and predictive analytics, to help analyze complex data, make informed decisions, solve complex mathematical issues and continuously improve performance in special industries. AI is a relatively new addition in energy and power systems, particularly in renewable energy, which focuses on solar, wind, hydro, and geothermal power to charge or power things from homes to cities. Renewable energy is a keystone in the efforts to transition into a world of sustainable and environmentally friendly energy sources, but it presents challenges like energy intermittency, grid stability, and resource management. This presentation delves into how Artificial Intelligence is challenging these issues and remodeling renewable energy systems. For instance, AI-powered algorithms and programs can predict solar and wind power generation by analyzing weather data, therefore enhancing the reliability of energy supply. Furthermore, AI can be used to create smart grids that facilitate real-time energy distribution and minimizing energy waste. AI models can also maximize energy storage and efficiency by integrating battery management systems, predicting usage patterns, therefore extending battery life. The global integration of AI in energy systems will not only be an immense technological enhancement, but it will have a profound impact on a broader energy landscape. AI applications will reduce operational costs, accelerate decision-making and data analytics, and improve system efficiencies, making renewable energy more accessible and economically feasible. Moreover, this conjunction will boost the global drive toward carbon neutrality by the widespread adoption of clean energy solutions. By integrating AI into the systems of renewable energy, we can generate a more precise, efficient, and environmentally friendly energy ecosystem. This presentation will explore these concepts, and highlight the real-world applications for AI in renewable energy. Combining AI and renewable energy creates the potential to enhance our energy systems and make a huge impact in climate change.

Authors List :

Puran Patel

Presenting Author :

Puran Patel

Affiliations :

Montgomery College

Email :

puran.patel26@gmail.com

Key Words (5 Words Maximum) :

Artificial Intelligence, Renewable Energy

Sewage Treatment through an Eco-Friendly and Sustainable Approach: A Short-Study on Wetlands Technology at Aligarh, India

admin — Fri, 06 Dec 2024 02:40:39 +0000

In developing countries like India, due to increasing population densities and impacts from human activities, pollution remains an essential issue for water quality protection and conservation of biodiversity in rural urban settings. Although there is a wide range of wastewater treatment methods that can be used to improve the quality of wastewater to meet effluent standards but due to lack of resources, technical know-how and other reasons, treatment of wastewater has always been a challenge. Past one decade, the use of natural process such as constructed wetlands have emerged as a viable solution to deal with the water pollution particularly from low-medium economy countries like India. This method is eco-friendly, less maintenance free and cost-effective to treat wastewater for small flows and communities. The purpose of this short-study was to evaluate the macrophytes (vegetation) that plays a vital role in the removal of pollutants from wastewater. The study is being conducted at a bench scale level in one of the laboratories of the Aligarh Muslim University, Aligarh to assess the performance of different macrophytes to treat wastewater. Two different macrophytes (Sagittaria and Canna Indica) are selected for this study. So far, the macrophytes has not shown any adverse impact on their health. The set-up is under operation, monitoring and the results are likely to obtain in due course of time.

Authors List :

Uzalfa Sherwani, Tehba Sajid, Adbia Meraj, Sadia Ayub, Umer Mujtaba Khan, Nadeem khalil

Presenting Author :

Uzalfa Sherwani, Tehba Sajid

Affiliations :

Aligarh Muslim University

Email :

faizulh2015@gmail.com

Key Words (5 Words Maximum) :

Macrophytes, wastewater, sagittaria, canna indica

On the Collatz Conjecture

admin — Thu, 05 Dec 2024 03:11:15 +0000

The Collatz Conjecture, also known as the “3x + 1 problem,” is a longstanding unsolved problem in mathematics that examines the behavior of positive integers under a simple iterative rule. Specifically, if a number is even, it is halved; if odd, it is multiplied by three and increased by one. Despite its apparent simplicity, the conjecture remains unproven, positing that all positive integers eventually reach the cycle 4-2-1 through repeated application of these operations. Rooted in number theory and dynamical systems, the problem has captivated mathematicians and researchers across various fields due to its complex, chaotic behavior and the challenge it presents in proving or disproving the assertion. An illustrative example of its intricacy is the uncertainty surrounding whether the expression (3x+1)/2 results in an even or odd number. Beyond its mathematical implications, the Collatz Conjecture has found relevance in other disciplines, particularly physics, where it contributes to studies of complex systems, energy dissipation, and chaos theory. One notable observation pertaining to randomness is that when the logarithm of the Collatz function’s graph is taken and the linear trend is removed, the resulting pattern closely resembles fluctuations observed in financial markets. In computer science, it offers insights into algorithmic complexity and recursive processes. The conjecture exemplifies how seemingly simple rules can generate intricate and unpredictable patterns, making it a profound and enduring subject of study in both theoretical and applied sciences.

Authors List :

Izn S. Ali

Presenting Author :

Izn S. Ali

Affiliations :

Newton South High School

Email :

iznali1902@gmail.com

Reporting Culture and Awareness of ADRs (Adverse Drug Reactions) as a Component of the Pharmacovigilance Program of India (PvPI)

admin — Thu, 05 Dec 2024 02:32:27 +0000

Abstract:
Title:
Insight among the general masses about the Pharmacovigilance Program of India (PvPI)
Collaborating Team: Aqsa Athar, Daniyal Ali, Mohammad Roohan, Nisha, Kulsum, Sophia, Malik Hayat Hashmi, Sadia Ayub, Gufran Ali, & Syed Ziaur Rahman
Introduction:
Drug therapy is an integral part of medical management. It offers health benefits but side effects and adverse drug reactions (ADRs) are some of its major disadvantages. To detect and spontaneously report ADRs and ensure the drug safety, Pharmacovigilance Program of India (PvPI) was initiated in India in 2010 under the aegis of the Indian Pharmacopoeia Commission, Ministry of Health and Family Welfare, Government of India. Our project is one of the constituents of PvPI with an objective to determine the reporting culture and awareness of ADRs. Every year, many patients suffer from severe and even deadly adverse effects of medications, often mistaken for disease symptoms. The primary reason is the lack of knowledge and awareness among people about medications and potential ADRs. Although there have been improvements after the launch of PvPI, but much more needs to be done to facilitate spontaneous reporting and awareness about the possibility of ADRs, especially in making it accessible to the general public. This project aims to enhance public awareness and reporting of ADRs through a comprehensive study consequently the development of an accessible Android-based app for consumers.
Method:
A cross-sectional study was conducted targeting mainly consumers and patients. A questionnaire was designed in consultation with experts from ADR Monitoring Centre (AMC) of JNMC incorporating both closed and open-ended questions to know the comprehensive understanding of awareness, practices, and attitude (KAP) towards ADRs among the targeted audience with a sample size of 250. The survey was carried out in medical OPDs, IPDs and Wards of JNMC, and residential areas within Aligarh, Uttar Pradesh, India. Special care was taken for quality data, and statistical analysis was later on conducted. These observations will be used to develop targeted educational interventions and awareness programs aimed at improving ADRs reporting rates among consumers. Additionally, an application for ADRs reporting will be created with the help of experts to make the process easy and accessible to everyone, thereby enhancing patient safety and public health.
Expected Results:
The findings will be disseminated through academic publications, conferences, and community outreach programs. By sharing the results with healthcare providers, policymakers, and the general public, we aim to foster a culture of proactive ADRs reporting and enhance overall patient safety. The
results of this study will have the potential to significantly impact public health by empowering consumers with the knowledge needed to recognize and report ADRs effectively. By identifying knowledge gaps and promoting proactive reporting, we strive to improve patient safety and support the objectives of the PvPI.
Acknowledgement: The team acknowledges the financial support from the American Society for Science, Engineering and Technology (ASSET), USA

Authors List :

Aqsa Athar, Daniyal Ali, Mohammad Roohan, Kulsum, Nisha, Sophia

Presenting Author :

Aqsa Athar, Mohammad Roohan

Affiliations :

Aligarh Muslim University, India

Email :

aqsa305207@gmail.com

Key Words (5 Words Maximum) :

ADRs, PvPI, medication safety, ADR reporting, ADR App

Observing the Splitting of African Continent and the Aftermath.

admin — Fri, 15 Dec 2023 23:01:34 +0000

Hypothesis of the presentation is that the African continent is splitting into two parts because the Nubian and Somali plates of East African Rift are diverging at an average rate of 7mm or (0.2 inches) per year causing the land within the valley to sink. When it splits, the smaller portion containing Somalia, Eritrea, Djibouti, the eastern parts of Ethiopia, Kenya, Tanzania and Mozambique where the valley ends may drift away and hit the Indian west coast, eventually forming a mountain range as big as the Himalayas. This phenomenon will change the climate of the west coast of India from hot to cold and will give rise to new species of flora and fauna. Also, a new ocean will be emerged in between Nubian and Somali plates.

Authors List :

Alfaiz Khan

Presenting Author :

Alfaiz Khan

Affiliations :

Aligarh Muslim University, Aligarh

Email :

mak402191@gmail.com

Key Words (5 Words Maximum) :

The splitting of African continent.

Importance of Simulation in Medical Education

admin — Mon, 12 Dec 2022 01:41:22 +0000

Although many associate simulations with innovations of the twenty-first century, simulations have a long-standing history with medicine and continue to develop into tools for improving treatments. Simulations are models designed to operate similarly to existing systems. In medicine, simulations educate others using accurate environments and treatments. Some of the earliest forms of simulation date back to 200 BCE, with ancient clay models of human anatomy found in archaeological sites in the Middle East and Central Asia. The modern simulation took off in the mid-twentieth century with the innovation of the human torso model, used to model CPR methods, and the cardiology patient simulator, used for cardiac disease to teach physical diagnosis in cardiology. As simulators continue to develop in the modern world, medical education will showcase significant advancements, and patient care and safety will improve immensely.

Authors List :

Ramaiza Sohail

Presenting Author :

Ramaiza Sohail

Affiliations :

Lexington High School

Email :

ramaizasohail28@gmail.com

Key Words (5 Words Maximum) :

Simulation, medical education, high fidelity

How to Construct Scientific papers and Ethics in Publishing

admin — Thu, 19 Aug 2021 04:14:23 +0000

Due to various simple reasons most of the authors (new and less experienced) having novel data and results finding difficulty to publish in well-known peer reviewed international journals. Here, the best way to construct the manuscripts to attract the editors and the papers get published will be explained for better understanding. Further, the credibility of scientific is getting damaged many times due to ethical breaches in its research and publication practices. These unwanted practices come in place due to increased pressure to publish, conflicts of interest, and ethical committee restrictions on research and mostly these things happen due to a lack of knowledge rather than intentions. Here, I will be discussing the ethics in publishing as well.

Face Blindness, Deep Learning and Alzheimer’s Disease

admin — Wed, 18 Aug 2021 04:15:55 +0000

The deficit in face-recognition (detection, identification, gaze and expressions) collectively known as face blindness or prosopagnosia demonstrated by Alzheimer’s patients is emerging as a novel feature for the evaluation of cognition in identifying preclinical or incipient Alzheimer’s disease. Here, I identify a pattern of the brain regions involved in face blindness as a novel diagnostic feature to identify Alzheimer’s disease before any clinical symptoms even become evident. Further, a facial recognition diagnostic test using similar features could diagnose Alzheimer’s disease even earlier