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Unity Bloxorz Game (Open GL Graphics)

Published:

A game akin to Bloxorz in the Unity game engine. The game was built in the 3D framework of the Unity Hub, version 2020.3.6f1. To implement the functioning prototype, I utilized various tools within Unity such as its shader tools, physics engine, scene hierarchy, particle system, lighting engine, and more.

Snoring Detection on a Microcontroller

Published:

Snoring is related to a common medical condition that can lead to many serious health issues including diabetes, stroke, and depression. Due to the negative health impacts of such medical condition, it is crucial for people to know whether they snore and understand their snoring patterns and triggers of snoring. In this paper, we propose a bed-side snoring detection program on microcontroller device that automatically identifies snoring sounds.

research

The effects of Caloric restriction on the Biological Indices of Homeostasis

Posting: MoldSEF National Science and Engineering Fair, 2016

This paper studies the benefits of a caloric restrictive diet on preventing aging. In order to study the benefits of this type of diet, this paper compares the amount of antioxidants in the blood of rats under dietary restriction and in rats with normal diet. The results of the experiment can be used to explain how a dietary restriction can increase longevity. The findings might be useful in convincing people to adopt a new pattern in food consumption – reducing the daily amount of calories by 30%, thus improving life quality.

Recommended citation: Rotaru, A., Tataru, E. (2016). "The effects of Caloric restriction on the Biological Indices of Homeostasis"

Angiotensin 1-7 blunts in vitro induced acute heart failure

Posting: European Journal of Heart Failure, 2017; The 4th World Congress on Acute Heart Failure, Paris, France, 29 April – 2 May 2017 , 2017

Angiotensin 1-7 (Ang 1-7) comprises consistent evidences regarding cardiovascular regulatory benefits due to Ang II receptor AT1 modulation via mass receptor. The aim of the paper is to evaluate the Ang 1-7 cardiac effects in the in vitro induced acute heart failure.

Recommended citation: Cobet, V., Rotaru, A., et al., (2017). Angiotensin 1-7 blunts in vitro induced acute heart failure. European Journal of Heart Failure, 19 (S1), 597. https://doi.org/10.1002/ejhf.833

Coronary response in doxorubicin-induced cardiomyopathy

Posting: European Journal of Heart Failure, 2017; The 4th World Congress on Acute Heart Failure, Paris, France, 29 April – 2 May 2017 , 2017

Coronary reserve and reactivity traits regarding doxorubicin (Dx) car-diotoxicity are less known comparatively to myocardial contraction and inotropiccapacities.Aim:the in vitro evaluation of coronary response to natural vasotropic agent actionin Dx-induced cardiomyopathy (Dx-CMP).

Recommended citation: Cobet, V., Rotaru, A., et al. (2017). Coronary response in doxorubicin-induced cardiomyopathy. European Journal of Heart Failure, 19 (S1), 165. https://doi.org/10.1002/ejhf.833

Vanhoutte and Bowditch phenomena in heart failure: their relation to ischemia-reperfusion impact

Posting: European Journal of Heart Failure, 2018, 2018

Evaluation of both 15,16-epoxyeicosatrien (15,16-EET) induced coronaro dilation and Bowditch’s staircase in experimental heart failure (HF) as well as their influence on ischemic contracture and functional recovery of isolated heart during reperfusion impact.

Recommended citation: Tacu, L., Rotaru, A., et al. (2018). Vanhoutte and Bowditch phenomena in heart failure: their relation to ischemia-reperfusionimpact. European Journal of Heart Failure, 20 (S1), 335. https://doi.org/10.1002/ejhf.1197

Embedded Dense Neural Networks for Battery Cyclability Prediction on Automotive Microcontroller Devices

Posting: Harvard Library Office for Scholarly Communication, 2021

This paper explores the development of a testing methodology in the context of accurately predicting future battery performance using machine learning. In particular, I propose a Dense Neural Network Model that can predict battery life using data from the first 50 cycles in the battery life.

Recommended citation: Rotaru, A. (2021). "Embedded Dense Neural Networks for Battery Cyclability Prediction on Automotive Microcontroller Devices" Harvard Library Office for Scholarly Communication