Nicola Russo
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View article: Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists
Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Open
The study expands the application of scikit-learn-based machine learning (ML) to the prediction of small biomolecule functionalities based on Carbon 13 isotope (13C) NMR spectroscopy data derived from Simplified Molecular Input Line Entry …
View article: Predicting Nanoparticle Effects on Small Biomolecule Functionalities Using the Capability of Scikit-learn and PyTorch: A Case Study on Inhibitors of the DNA Damage-Inducible Transcript 3 (CHOP)
Predicting Nanoparticle Effects on Small Biomolecule Functionalities Using the Capability of Scikit-learn and PyTorch: A Case Study on Inhibitors of the DNA Damage-Inducible Transcript 3 (CHOP) Open
The presented study contributes to ongoing research that aims to overcome challenges in predicting the bio-applicability of nanoparticles (NPs). The approach explored a variety of combinations of nuclear magnetic resonance (NMR) spectrosco…
View article: IUPAC-Induced Computational Approaches for Identifying Boosters of Small Biomolecule Functionality: A Case Study of Human Tyrosyl-DNA Phosphodiesterase 1 (TDP1) Inhibitors
IUPAC-Induced Computational Approaches for Identifying Boosters of Small Biomolecule Functionality: A Case Study of Human Tyrosyl-DNA Phosphodiesterase 1 (TDP1) Inhibitors Open
This paper introduces several proof-of-concept (PoC) computational methods intended to offer biochemical researchers straightforward, time- and cost-effective strategies to accelerate their work. While Machine Learning (ML) models were dev…
View article: Leveraging 13C NMR spectroscopic data derived from SMILES to predict the functionality of small biomolecules by machine learning: a case study on human Dopamine D1 receptor antagonists
Leveraging 13C NMR spectroscopic data derived from SMILES to predict the functionality of small biomolecules by machine learning: a case study on human Dopamine D1 receptor antagonists Open
This study contributes to ongoing research which aims to predict small biomolecule functionality using Carbon-13 Nuclear Magnetic Resonance ($^{13}$C NMR) spectrum data and machine learning (ML). The approach was demonstrated using a bioas…
View article: In Silico Functional Profiling of Engineered Small Molecules: A Machine Learning Approach Leveraging PubChem Identifiers (CID_SID ML model)
In Silico Functional Profiling of Engineered Small Molecules: A Machine Learning Approach Leveraging PubChem Identifiers (CID_SID ML model) Open
The article introduces a concept for a time- and cost-effective methodological framework leveraging machine learning (ML) models for both early-stage drug development and clinical trial support. The rationale for this approach is the inher…
View article: Simulating Social Cognition: A Humanoid-Based Approach to Improve Theory of Mind Skills in Autism
Simulating Social Cognition: A Humanoid-Based Approach to Improve Theory of Mind Skills in Autism Open
Autism Spectrum Disorders (ASD) often involve challenges in social communication, and various therapies are used to address these. This randomized, two-period crossover trial assessed the effectiveness of integrating Applied Behavior Analy…
View article: An Implementation of Communication, Computing and Control Tasks for Neuromorphic Robotics on Conventional Low-Power CPU Hardware
An Implementation of Communication, Computing and Control Tasks for Neuromorphic Robotics on Conventional Low-Power CPU Hardware Open
Bioinspired approaches tend to mimic some biological functions for the purpose of creating more efficient and robust systems. These can be implemented in both software and hardware designs. A neuromorphic software part can include, for exa…
View article: Application of machine learning for predicting G9a inhibitors
Application of machine learning for predicting G9a inhibitors Open
The G9a enzyme is an epigenomic regulator, making gene expression directly dependent on how various substances in the cell affect this enzyme.
View article: Design of a Phase Calibrator to Evaluate Non-Matched Microphones for Intensity Probes
Design of a Phase Calibrator to Evaluate Non-Matched Microphones for Intensity Probes Open
Intensity measurements represent a well-established method to determine the sound power of an emitting object. The principal strength of this technique relies upon the possibility of performing the measurements in situ, with no special req…
View article: Discriminating between autonomous and human remote control in human-robot interaction: the role of sensorimotor adaptation
Discriminating between autonomous and human remote control in human-robot interaction: the role of sensorimotor adaptation Open
Sensorimotor Synchronization (SMS) plays a crucial role in social interactions. The present study aimed to investigate whether SMS facilitates users in disentangling between autonomous or human remote controllers during HRI. Specifically, …
View article: Thrust and Noise Experimental Assessment on Counter-Rotating Coaxial Rotors
Thrust and Noise Experimental Assessment on Counter-Rotating Coaxial Rotors Open
Multirotors are gaining great importance in the layout of innovative and more agile mobility. In this framework, a possible solution to developing an aircraft complying with the stringent size requirements characterizing this type of appli…
View article: Classification of Speaking and Singing Voices Using Bioimpedance Measurements and Deep Learning
Classification of Speaking and Singing Voices Using Bioimpedance Measurements and Deep Learning Open
The acts of speaking and singing are different phenomena displaying distinct characteristics. The classification and distinction of these voice acts is vastly approached utilizing voice audio recordings and microphones. The use of audio re…
View article: Experimental Performances Evaluation on Counter-Rotating Coaxial Performances for Multirotors
Experimental Performances Evaluation on Counter-Rotating Coaxial Performances for Multirotors Open
Multirotors are gaining great importance in the layout of innovative and more agile mobility. In this framework, a possible solution to developing an aircraft complying with the stringent size requirements characterizing this type of appli…
View article: An Interface Platform for Robotic Neuromorphic Systems
An Interface Platform for Robotic Neuromorphic Systems Open
Neuromorphic computing is promising to become a future standard in low-power AI applications. The integration between new neuromorphic hardware and traditional microcontrollers is an open challenge. In this paper, we present an interface b…
View article: Pattern Recognition Spiking Neural Network for Classification of Chinese Characters
Pattern Recognition Spiking Neural Network for Classification of Chinese Characters Open
The Spiking Neural Networks (SNNs) are biologically more
\nrealistic than other types of Artificial Neural Networks (ANNs), but they have been much less utilised in applications. When comparing the two types of NNs, the SNNs are considered…
View article: Pattern Recognition Spiking Neural Network for Chinese Characters Classification
Pattern Recognition Spiking Neural Network for Chinese Characters Classification Open
In recent years, artificial neural networks (ANNs) have completely changed the field of machine learning, especially computer vision. The Spike Neural Network (SNN) is biologically more realistic than ANN. It is more hardware-friendly and …
View article: Interface Board for Robotic Neuromorphic Systems
Interface Board for Robotic Neuromorphic Systems Open
Neuromorphic computing is going to be the new standard in low power AI applications. The integration between new neuromorphic hardware and traditional microcontroller is an open challenge. Here we present an interface board and a communica…
View article: Pattern Recognition Spiking Neural Network for Chinese Characters Classification
Pattern Recognition Spiking Neural Network for Chinese Characters Classification Open
In recent years, artificial neural networks (ANNs) have completely changed the field of machine learning, especially computer vision. The Spike Neural Network (SNN) is biologically more realistic than ANN. It is more hardware-friendly and …
View article: Pattern Recognition Spiking Neural Network for Chinese Characters Classification
Pattern Recognition Spiking Neural Network for Chinese Characters Classification Open
In recent years, artificial neural networks (ANNs) have completely changed the field of machine learning, especially computer vision. The Spike Neural Network (SNN) is biologically more realistic than ANN. It is more hardware-friendly and …
View article: Interface Board for Robotic Neuromorphic Systems
Interface Board for Robotic Neuromorphic Systems Open
Neuromorphic computing is going to be the new standard in low power AI applications. The integration between new neuromorphic hardware and traditional microcontroller is an open challenge. Here we present an interface board and a communica…
View article: Interface Board for Robotic Neuromorphic Systems
Interface Board for Robotic Neuromorphic Systems Open
Neuromorphic computing is going to be the new standard in low power AI applications. The integration between new neuromorphic hardware and traditional microcontroller is an open challenge. Here we present an interface board and a communica…
View article: Della congenialità di scienza e filosofia
Della congenialità di scienza e filosofia Open
On Science and Philosophy Connection Science and philosophy sometimes fail to dialogue. This essay sheds some light on this controversial issue by considering some historical instances of their complicated relationship, since the mid-ninet…