Cancer has been a prevalent medical concern among many scientists, and within cancer, the specific causes and treatment methods still have a comparatively low recovery rate. MicroRNAs (miRNAs) are endogenous non-coding functional RNAs that regulate gene expression by inhibiting/promoting certain signaling pathways.5 They could be a potential indicator of cancer and can be detected from miRNA screening of patients’ blood samples. This indicator could allow scientists to determine potential cancer victims at a very early stage and begin targeted therapy, or early treatment, which could be what makes the difference between a full recovery and no recovery. In this project, we aim to improve the understanding of gene expression in relation to cancer, using machine learning to identify miRNAs with a high relatedness to cancer and find pathways connected to this relatively novel field.

In this paper, we compare the performances of traditional machine learning models using feature engineering and word vectors and the state-of-the-art language modelBERT using word embeddings on three datasets. We also consider the time and cost efficiency of feature engineering compared to BERT. From our results we conclude that the use of the BERT model was only worth the time and cost trade-off for one of the three datasets we used for comparison, where the BERT model significantly outperformed any kind of traditional classifier that uses feature vectors, instead of embeddings. Using the BERT model for the other datasets only achieved an increase of 0.03 and 0.05 of accuracy and F1 score respectively, which could be argued makes its use not worth the time and cost of GPU.

This study investigates the forecasting accuracies of Long Short-Term Memory models with different architectures and sheds light on the optimal combination of parameters when forecasting stock prices for the S&P500 fund.

In the past decades, there was a growing demand in commodity vehicles that has contributed to the increase in market share of the automotive sector in many countries, including Japan and Korea. However, despite a lot of countries cherishing the significant sales in the automotive sector and also, Malaysia was not able to succeed. One example is Proton, which has failed with an immense decrease in market share and sales over the last two decades. The previous research has provided a dominant explanation for this failure as the lack of economies of scale, dependence at the home marketplace, technology development, Limited R&D, testing capabilities, compliance with worldwide standards, lack of professional workers, and poor linkages. I use the data from Tai and C.Y.Ku, Malaysian Investment Development Authority, Anazawa, and Ministry of International Trade and Industry to understand the organizational structure and industry performance. Similar to the previous findings, our findings indicated that the Malaysian automotive industry suffers from a lack of dynamics between state and private enterprises, a lack of scale efficiencies, and a reliance on domestic markets. Additionally, it made clear reference to the problems raised by Chang, Andreoni, and Rodrik. In contrast to Japan, where the automotive industry made a large contribution to the Gross domestic product, Malaysia's automotive industry, which includes companies like Proton, was unable to flourish and win the national championship.

There is substantial evidence to indicate that the biological human stress response, when activated frequently or during long periods of time, can cause physiological health problems, including immunosuppression, which is particularly dangerous among patients with AIDS and HIV. The secretion of stress hormones, such as glucocorticoids, leads to a decrease in CD4 white blood cells, and this can facilitate the progression of HIV to AIDS and also exacerbate the course of the disease. HIV/AIDS is often associated with elevated stress levels, as well as mental illnesses such as anxiety and depression. Mental illness can also affect disease progression through similar biological mechanisms, although there is a lack of definitive research in this area. Stress alleviation therapy should be considered an important part of the treatment of people living with HIV and AIDS. Research indicates that as well as preventing the negative effects of stress, stress reduction treatments may also alleviate the symptoms of antiretroviral therapy, both of which could vastly contribute to the quality of life and health of patients. In this paper, we examine the biological mechanisms through which stress can impact the immune system and review relevant research on stress, its impact on HIV, potential future research, the role of mental health in disease progression, and implications of these findings.

This paper investigates the relationship between colour and human experience. In particular, it explores people’s associations with colour, colour preferences across cultures, and how colours in one’s environment affect emotions and productivity.