Published Papers
SUBJECT
Biology - Genetics / Health Studies / Microbiology

Scientific Journal
IRJMETS - International Research Journal of Modernization in Engineering Technology and Science
Name of Scholar
Janya Gehlot
Topic
Beta-thalassemia
About the Scholar
Janya is a student at Bodhi International School, Jodhpur, India.
Name of Mentor
B.A., Brown University; Ph.D. University of California at Berkeley
Summary
Beta-thalassemia is a group of hereditary blood disorders caused by mutations in the beta-globin gene, leading to abnormal synthesis of beta chains of haemoglobin. This results in a wide range of clinical presentations, from severe anaemia to asymptomatic individuals. The annual incidence of symptomatic cases is estimated at 1 in 100,000 worldwide. It is an autosomal recessive condition, although dominant mutations are rare. Three main phenotypes include thalassemia major, thalassemia intermedia, and thalassemia minor. Thalassemia major typically presents in early childhood with severe anaemia, requiring regular blood transfusions. Prolonged transfusion therapy leads to iron overload-related complications affecting various organs and endocrine systems. Thalassemia intermedia appears later in life with moderate anaemia, often without the need for regular transfusions. Complications involve erythroid marrow hypertrophy, extramedullary haematopoiesis, and other health issues. Thalassemia minor is usually asymptomatic, though some individuals may have mild anaemia. Diagnosis relies on hematologic and molecular genetic testing, with genetic counselling and prenatal diagnosis available. Treatment for thalassemia major includes transfusions, iron chelation, and addressing ironrelated complications. Bone marrow or stem cell transplantation is the only definitive cure. Thalassemia intermedia management may involve splenectomy, folic acid supplementation, and addressing complications. Emerging therapies like HbF inducers and gene therapy offer promising results
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SUBJECT
Economics - Micro / Macro / Developmental / Behavioral

Scientific Journal
IJSR - International Journal of Science and Research
Name of Scholar
Arin Modi
Topic
About the Scholar
Arin is a student at Doon School Dehradun, India.
Name of Mentor
Guided Research
Summary
In financial markets, the role of investor attention in shaping stock prices and returns has been recognized as a significant driver of market dynamics. This research investigates two relatively unknown market anomalies, the Neglected Stock Anomaly and the Reversal Anomaly, to provide insight on their implications for investors and market efficiency. The Neglected Stock Anomaly refers to undervalued stocks that receive little attention, perhaps leading to mispricing and prospects for above-average profits. The Reversal Anomaly, on the other hand, argues that stocks with poor short-term performance tend to have subsequent market declines, showing behavioural biases and opening up opportunities for contrarian tactics. This research adds to understanding market dynamics and providing insights for informed investment decision-making by investigating the connection between investor attention, market inefficiencies, and stock returns. Through empirical evidence and literature analysis, this study provides a comprehensive exploration of these anomalies, highlighting their connections and potential implications in various market conditions.
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SUBJECT
CS - AI / ML / Data Science / Quantum Computing / Blockchain / Computer Vision

Scientific Journal
IRJMETS - International Research Journal of Modernization in Engineering Technology and Science
Name of Scholar
Arnav Jhamvar
Topic
Comparison of Different ML Models to Predict Football Match Results
About the Scholar
Arnav is a student at HDFC School Pune, India. This paper was prepared by Arnav as a part of her course work for LS190 - Introduction to College Level Research course at Allegheny College during summer 2022.
Name of Mentor
B.S., Peru State College; M.S., Ph.D., University of Nebraska at Omaha
Summary
In this research paper, three ML models have been compared and used to predict football match results. These models are from three different time frames, and a comprehensive review was done to decide which model was the best and gave the most accurate prediction.
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SUBJECT
CS - AI / ML / Data Science / Quantum Computing / Blockchain / Computer Vision

Scientific Journal
IRJMETS - International Research Journal of Modernization in Engineering Technology and Science
Name of Scholar
Dhruv Soni
Topic
About the Scholar
Dhruv is a student at R N Podar School Mumbai, India. This paper was prepared by Dhruv as a part of her course work for LS190 - Introduction to College Level Research course at Allegheny College during summer 2022.
Name of Mentor
B.S., Peru State College; M.S., Ph.D., University of Nebraska at Omaha
Summary
This study aimed to determine which type of Convulation Neural Network, Shallow or Residual, is better in the classification of 7 diseases. Both models were trained and validated using data from the same dataset. The purpose of this study was to do a comparative analysis between these models after training for 20, 50 and 100 epoch
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SUBJECT
Economics - Micro / Macro / Developmental / Behavioral

Scientific Journal
IJSRC - International Journal of Social Relevance & Concern
Name of Scholar
Romeer Rao
Topic
About the Scholar
Romeer is a student at Oberoi International School Mumbai, India. This paper was prepared by Romeer as a part of her course work for LS190 - Introduction to College Level Research course at Allegheny College during summer 2022.
Name of Mentor
Guided Research
Summary
This paper will look into the significance of the January effect, by understanding its effect on the performance of Sensex, and the S&P 500, which provide a picture of the general performance of the market, giving a more macro point of view. It will also be analysing the performance of one large-cap, one mid-cap, and one small-cap company, which could lead to a better understanding of the relationship between the size effect and January effect, as initially hypothesised by Dr. Donald B. Keim. These would be analysed using historical data dated from 2013 to 2023. In addition, it would be trying to analyse the January effect’s relation to the halloween effect. The psychology of the anomaly would be explored as well, to gain an understanding of why it exists, through reading reports by psychologists and other experts. Furthermore, it would be analysing if investing on the basis of this anomaly is viable, and whether the effect is sustainable, due to market volatility being on the rise.
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SUBJECT
Biology - Genetics / Health Studies / Microbiology

Scientific Journal
IRJMETS - International Research Journal of Modernization in Engineering Technology and Science
Name of Scholar
Lekhya Bandapalli
Topic
Acid Rain and Comparative Study of Rainwater
About the Scholar
Lekhya is a student at Primus Public School Bangalore, India.
Name of Mentor
Guided Research
Summary
The composition of rainwater has been changing continuously over the past few years , this is primarily due to rapid industrialisation and rising levels and population overload As the pollution has been constantly increasing, the quantity of harmful gasses (air pollutants) produced have also been increasing, resulting in climate change. This is causing the rainwater to turn more acidic which is harmful not only for humans but also plants and microorganisms. Furthermore, buildings and monuments are also affected by acid rain. To get a deeper understanding of the quality of rainwater , I conducted an experiment - testing pH of rainwater from different geographical areas and observing plant growth under similar growing conditions but watering them with waters of varying pH. Therefore this paper intends to give a good interpretation of the quality of rainwater in different regions, and the causes and effects of acid rain.
