| 1 |
Author(s):
Angela Chen.
Page No : 1-11
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Music, Mental Health, and Mood Regulation: A Data-Driven Approach to Understanding the Role of Music in Emotional Well-being
Abstract
Mental health disorders, such as anxiety, depression, and insomnia, have become increasingly prevalent. This paper explores the relationship between mental health conditions and music-related factors using a dataset which includes variables such as music genres and listening hours. The study employs two types of statistical models—ordinal logit regression and count regression—to investigate the impact of music genres, listening habits, and demographic variables on mental health and music consumption patterns.
In the ordinal logit analysis, key predictors, including classical music preferences and favored genres, were positively associated with improvements in mental health, while listening to music while working and certain genres, such as R&B, negatively affected mental health outcomes. The count-oriented regression models, both negative binomial and Poisson models, used to assess the factors influencing daily music listening time, revealed that listening while working and being a composer were strongly associated with increased listening time, while being an instrumentalist decreased it. Psychological conditions like obsessive-compulsive disorder and insomnia were positively correlated with music listening hours, suggesting a potential coping mechanism for these conditions. Overall, this study provides valuable insights into how music preferences, mental health conditions, and listening behaviors interact, offering evidence-based recommendations for integrating music therapy into mental health treatments.
| 2 |
Author(s):
Earl Yin.
Page No : 12-22
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Evaluation of Imputation Methods for Handling Missing Data in Mechanical Materials Datasets
Abstract
Mechanical design materials are integral to advancing modern technologies due to their diverse mechanical properties. These properties are crucial in determining the material’s suitability for various engineering applications. However, research on mechanical materials often encounters missing data, which can lead to biased results and reduced statistical power. While several imputation methods exist to handle missing data, there is a lack of focused studies evaluating their performance in the context of mechanical materials. To address this gap, a comprehensive dataset was obtained, and 10% of the original data for ultimate tensile strength (Su) and yield strength (Sy) were intentionally deleted. Four imputation methods—mean imputation, random fill, regression imputation, and k-nearest neighbors (KNN) imputation—were employed to restore the missing data. The performance of these methods was evaluated using Pearson’s correlation, multiple linear regression, and permutation feature importance. The results showed that mean and KNN imputation methods provided the closest match to the original data, while regression imputation also performed well with minor deviations. Random fill was the least reliable method. These findings provide guidance on selecting appropriate imputation techniques for mechanical materials datasets, ultimately improving the robustness of future research.
| 3 |
Author(s):
Elizabeth Pak.
Page No : 23-28
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Food Processing and Its Effects on Allergenicity of Food Allergens
Abstract
A food allergy is a medical condition in which the body’s immune system overreacts to a specific protein in an ingested allergen. When the allergen is ingested and the protein is released in the blood, the protein binds to antibody Immunoglobulin E (IgE), causing a wide array of uncomfortable and painful symptoms.
Food allergies can be treated in a variety of ways, including the administration of antihistamines and, most recently, immunotherapy. Immunotherapy relies on exposing the patient to slightly growing increments of an allergen over time to build immunological tolerance against the allergen. Despite certain successes, neither antihistamines nor immunotherapy are foolproof treatments.
Food processing, including thermal and chemical treatments, is now considered a safer new approach to overcome food allergies. These treatments reduce the allergenicity of some food, but did not render the food entirely non-allergic. Food treatment, combined with other approaches of treatment, opens a new avenue for safer, more convenient, and more efficient food allergy handling. In this review, we will discuss the available methods of food treatment and how this affects the nature of the allergens in the food.
| 4 |
Author(s):
Varun Pothamsetti.
Page No : 29-33
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Reducing Drag by Optimizing the Underbody with Ride Height in Formula 1
Abstract
This study investigates the aerodynamic interaction between wheel wakes and the underbody
of Formula 1 cars, focusing on the effect of varying ride heights on drag reduction and ground
effect optimization. With the reintroduction of ground effect principles in the 2022-2026 Formula 1
regulations, the potential for enhanced vehicle performance through improved aerodynamic design is
significant. However, the efficiency of venturi tunnels, essential for generating effective downforce,
is compromised by turbulent airflows produced by the wheels, known as wheel wakes. This research
utilizes computational fluid dynamics (CFD) simulations to model these interactions at different
ride heights, aiming to pinpoint optimal configurations that minimize aerodynamic drag while
maximizing downforce. Initial findings suggest a delicate balance between ride height adjustment
and tunnel geometry optimization, offering potential pathways to achieve aerodynamic efficiency in
modern Formula 1 vehicles. This paper contributes to the evolving discourse on high-speed vehicle
aerodynamics, providing insights that could inform future vehicle design and regulatory frameworks
in motorsports.
| 5 |
Author(s):
Aarav Narang.
Page No : 34-40
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The Promising Connection Between Gut Microbiota and Mental Health: Overview of Kefir in Relation to Mental Health
Abstract
Kefir, along with other fermented foods, have health benefiting traits and properties towards the gut microbiota. There continues to be much to discover about the microbiota as new research indicates that it connects with the brain. There have been numerous studies done on kefir’s impact on mental health showing that kefir could potentially treat mental health symptoms. However, some studies contradict that claim indicating that kefir does not affect mental health. Anxiety, depression, attention-deficit/hyperactivity disorder (ADHD), stress, among others, were the mental health issues explored in these studies. Presently, there is not enough evidence to make a feasible claim that kefir can improve mental health. However, promising results from kefir are possible as new research indicates that kefir could impact mental health positively.
| 6 |
Author(s):
Christina Feng.
Page No : 41-50
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Determination of the Relationship Between the Flexibility, Materials and Sizes of Neural Probes and Their Effect on the Foreign Body Response
Abstract
Neural probes greatly assist us in our journey of learning about the brain by revealing the
functioning of neurons. Probes are implanted in different areas of the brain to record data or to
stimulate those sites. This detection and intervention of neural activity allows probes to diagnose
and treat diseases. Probe technologies have advanced over time and opened new avenues in neural
engineering. However, the appearance of a foreign object in the brain elicits a negative reaction that
harms the brain and its components. To minimize this reaction, scientists utilize a variety of methods
and designs that have yet to be perfected. This review aims to highlight the influence of neural
probe designs on the foreign body response. This includes looking at existing types of probes and
exploring their potential. The effects of different flexibilities, materials and sizes of neural probes
will be examined using studies and research made by scientists to decipher what methods minimize
the negative response the most. This paper also aims to identify the gaps in our current knowledge
of this subject.
| 7 |
Author(s):
Ella Fox, Brittany Katz.
Page No : 51-60
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The Interplay between Disordered Sleep and Alzheimer’s Disease: Exploring the Bidirectional Relationship
Abstract
The debilitating neurodegenerative condition referred to as Alzheimer’s Disease (AD), results in
severe cognitive deterioration, including deficits in memory, confusion, and abnormal behaviour.
Sleep plays a crucial role in sustaining cognitive health, as it supports brain repair and performs
memory consolidation. Complaints of consistently disrupted sleeping habits, such as reduced quality
and fragmented sleep, are increasingly recognized as potential risk factors for AD. The fundamental
elements of healthy sleep: its structure, oscillations and benefits- then considering how changes in sleep
architecture, including alterations in REM and NREM stages, are associated with cognitive decline.
Another significant concept is the finding that sleep deprivation is often correlated with increased
levels of amyloid beta (Aβ) and tau proteins in the brain, which are two biomarkers of AD pathology
and accumulate with disease progression. This review examines the connection between unhealthy
sleep patterns during aging and AD development, emphasizing the need for continued research into
how improving sleep hygiene could potentially moderate the effects of cognitive deterioration.
| 8 |
Author(s):
Aaron Bedi, .
Page No : 66-71
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Efficacy of Platelet-Rich-Plasma in Accelerating Muscle Injury Recovery in Athletes: A Literature Review
Abstract
Muscle strains are the most common injury, leading to enormous amounts of time lost for training
and participation in competitions, with long recovery periods and compromising the season play,
especially when seniors are involved. The treatment of muscle injuries includes the traditional use of
rest and ice compressions, but also involves the addition of physical therapy to improve the patient’s
condition and to help the rehabilitation of the acquired trauma. These injuries occur when muscle
fibers are overstretched or torn, resulting in pain, swelling, and limited movement, which can impact
both individual performance and overall team success. As a response to the limitations of conventional
therapies, platelet-rich plasma (PRP) therapy has emerged as a promising treatment option, involving
the injection of a concentrated solution of platelets derived from the patient’s own blood into the
injured area, in order to promote tissue healing and regeneration. While some studies suggest that
PRP injections can lead to faster recovery times compared to traditional treatments, others indicate
no significant benefits. This highlights the variability in outcomes influenced by factors such as injury
type and PRP preparation methods. This literature review critically examines the current evidence
regarding the efficacy of PRP injections in reducing recovery time for muscle injuries in athletes,
aiming to provide a comprehensive understanding of its potential benefits and limitations, and to
explore the hypothesis of whether PRP injections can effectively accelerate recovery for athletes with
muscle strains and sports injuries.
| 9 |
Author(s):
Nitya Sarvesha.
Page No : 72-81
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Clinical Applications of Liquid Biopsy in Women with High Risk of Developing Breast Cancer
Abstract
Breast cancer currently has effective detection and treatment processes, but there are still many aspects that the process lacks which causes breast cancer to be in need of more accurate tools. Currently, liquid biopsies have shown great promise in the future of detection and management of cancer. Liquid biopsies are able to be noninvasive, performed more frequently than a single biopsy, and able to gain a comprehensive understanding of the entire tumor through a single blood test. However, liquid biopsies need to be more sensitive and accurate in its detection to be implemented in the future. We conducted a search for relevant papers that gave current and future understandings on the implementations of liquid biopsy in women with early and late, metastatic stages of breast cancer. Through these studies and papers, most studies suggest that higher sensitivities will only be improved with multi-modeled assays by using multiple biomarkers to help to increase sensitivity and improve reliability of diagnosis. This gives hope for liquid biopsies to be continued to be developed for progression on cancer detection for women with high risk in breast cancer with the use of multiple biomarkers.
