M. Paulini
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View article: Exploring Cannabidiol’s Role in Regenerative Medicine: Focus on Neural and Skeletal Tissues
Exploring Cannabidiol’s Role in Regenerative Medicine: Focus on Neural and Skeletal Tissues Open
Cannabidiol (CBD) is a non-psychotropic compound found in plants of the Cannabis genus, extensively studied for its therapeutic potential. Research has shown that CBD possesses anti-inflammatory, antioxidant, and regenerative properties, a…
View article: Impact of Acute and Chronic Stressors on the Morphofunctional Characteristics of Long Bones in Spontaneously Hypertensive Rats: A Pilot Study Using Histological and Microtomographic Analysis
Impact of Acute and Chronic Stressors on the Morphofunctional Characteristics of Long Bones in Spontaneously Hypertensive Rats: A Pilot Study Using Histological and Microtomographic Analysis Open
Background/Objectives: Hypertension is a major contributor to cardiovascular diseases and is often intensified by psychological stress, which can also affect bone metabolism. Although both conditions independently compromise bone health, t…
View article: Impact of Acute and Chronic Stressors on the Morphofunctional Characteristics of Long Bones in Spontaneously Hypertensive Rats: A Histological and Microtomographic Analysis
Impact of Acute and Chronic Stressors on the Morphofunctional Characteristics of Long Bones in Spontaneously Hypertensive Rats: A Histological and Microtomographic Analysis Open
Background/Objectives: Hypertension is a major contributor to cardiovascular diseases and is often intensified by psychological stress, which can also affect bone metabolism. Although both conditions independently compromise bone health, t…
View article: Relationship of Chronic Stress and Hypertension with Bone Resorption
Relationship of Chronic Stress and Hypertension with Bone Resorption Open
Background/Objectives: Chronic exposure to stress has been considered a risk factor for hypertension, which is also associated with increased bone resorption. This review aimed to investigate the effect of acute and chronic stress, associa…
View article: Anomaly Detection Based on Machine Learning for the CMS Electromagnetic Calorimeter Online Data Quality Monitoring
Anomaly Detection Based on Machine Learning for the CMS Electromagnetic Calorimeter Online Data Quality Monitoring Open
Using a semi-supervised machine learning approach we present a real-time anomaly detection system based on an autoencoder used for online data quality monitoring of the CMS electromagnetic calorimeter operating at the CERN LHC. We introduc…
View article: Relationship of Chronic Stress and Cardiovascular Diseases with Bone Resorption
Relationship of Chronic Stress and Cardiovascular Diseases with Bone Resorption Open
Background/Objectives: Chronic exposure to stress has been considered a risk factor for hyper-tension, which is also associated with increased bone resorption. This review aimed to investigate the effect of acute and chronic stress, associ…
View article: Gene expression analysis of cytokines and MMPs in melatonin and rhBMP-2 enhanced bone remodeling
Gene expression analysis of cytokines and MMPs in melatonin and rhBMP-2 enhanced bone remodeling Open
BACKGROUND In the medical and dental fields, there is a need for studies of new therapeutic approaches for the treatment of bone defects that cause extensive bone loss. Melatonin may be an important endogenous biological factor for bone re…
View article: Anomaly Detection Based on Machine Learning for the CMS Electromagnetic Calorimeter Online Data Quality Monitoring
Anomaly Detection Based on Machine Learning for the CMS Electromagnetic Calorimeter Online Data Quality Monitoring Open
A real-time autoencoder-based anomaly detection system using semi-supervised machine learning has been developed for the online Data Quality Monitoring system of the electromagnetic calorimeter of the CMS detector at the CERN LHC. A novel …
View article: Influence of Statins and Fibrates Drugs on Bone Health and Regeneration
Influence of Statins and Fibrates Drugs on Bone Health and Regeneration Open
In the medical and dental field, the importance and need for the study of materials and drugs for use as bone grafts or regeneration in injured areas due to the presence of fractures, infections or tumors that cause extensive loss of bone …
View article: Autoencoder-based Online Data Quality Monitoring for the CMS Electromagnetic Calorimeter
Autoencoder-based Online Data Quality Monitoring for the CMS Electromagnetic Calorimeter Open
The online Data Quality Monitoring system (DQM) of the CMS electromagnetic calorimeter (ECAL) is a crucial operational tool that allows ECAL experts to quickly identify, localize, and diagnose a broad range of detector issues that would ot…
View article: Searching for Intelligent Life in Gravitational Wave Signals Part I: Present Capabilities and Future Horizons
Searching for Intelligent Life in Gravitational Wave Signals Part I: Present Capabilities and Future Horizons Open
We show that the Laser Interferometer Gravitational Wave Observatory (LIGO) is a powerful instrument in the Search for Extraterrestrial Intelligence (SETI). LIGO's ability to detect gravitational waves (GWs) from astrophysical sources, suc…
View article: DeepSNR: A deep learning foundation for offline gravitational wave detection
DeepSNR: A deep learning foundation for offline gravitational wave detection Open
All scientific claims of gravitational wave discovery to date rely on the offline statistical analysis of candidate observations in order to quantify significance relative to background processes. The current foundation in such offline det…
View article: End-to-end jet classification of boosted top quarks with the CMS open data
End-to-end jet classification of boosted top quarks with the CMS open data Open
Here we describe a novel application of the end-to-end deep learning technique to the task of discriminating top quark-initiated jets from those originating from the hadronization of a light quark or a gluon. The end-to-end deep learning t…
View article: Accelerating End-to-End Deep Learning for Particle Reconstruction using CMS open data
Accelerating End-to-End Deep Learning for Particle Reconstruction using CMS open data Open
Machine learning algorithms are gaining ground in high energy physics for applications in particle and event identification, physics analysis, detector reconstruction, simulation and trigger. Currently, most data-analysis tasks at LHC expe…
View article: End-to-End Jet Classification of Boosted Top Quarks with CMS Open Data
End-to-End Jet Classification of Boosted Top Quarks with CMS Open Data Open
We describe a novel application of the end-to-end deep learning technique to the task of discriminating top quark-initiated jets from those originating from the hadronization of a light quark or a gluon. The end-to-end deep learning techni…
View article: End-to-end particle and event identification at the Large Hadron Collider with CMS Open Data
End-to-end particle and event identification at the Large Hadron Collider with CMS Open Data Open
From particle identification to the discovery of the Higgs boson, deep learning algorithms have become an increasingly important tool for data analysis at the Large Hadron Collider (LHC). We present an innovative end-to-end deep learning a…
View article: Exploring End-to-end Deep Learning Applications for Event Classification at CMS
Exploring End-to-end Deep Learning Applications for Event Classification at CMS Open
An essential part of new physics searches at the Large Hadron Collider (LHC) at CERN involves event classification, or distinguishing potential signal events from those coming from background processes. Current machine learning techniques …
View article: First beam tests of prototype silicon modules for the CMS High Granularity Endcap Calorimeter
First beam tests of prototype silicon modules for the CMS High Granularity Endcap Calorimeter Open
The High Luminosity phase of the Large Hadron Collider will deliver 10 times more integrated luminosity than the existing collider, posing significant challenges for radiation tolerance and event pileup on detectors, especially for forward…
View article: End-to-End Event Classification of High-Energy Physics Data
End-to-End Event Classification of High-Energy Physics Data Open
Feature extraction algorithms, such as convolutional neural networks, have introduced the possibility of using deep learning to train directly on raw data without the need for rule-based feature engineering. In the context of particle phys…
View article: Machine Learning in High Energy Physics Community White Paper
Machine Learning in High Energy Physics Community White Paper Open
Machine learning is an important applied research area in particle physics, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification an…
View article: End-to-End Physics Event Classification with the CMS Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the LHC
End-to-End Physics Event Classification with the CMS Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the LHC Open
This paper describes the construction of novel end-to-end image-based classifiers that directly leverage low-level simulated detector data to discriminate signal and background processes in proton–proton collision events at the Large Hadro…
View article: Machine Learning in High Energy Physics Community White Paper
Machine Learning in High Energy Physics Community White Paper Open
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identific…
View article: B Physics at the Tevatron: Run II and Beyond
B Physics at the Tevatron: Run II and Beyond Open
Starting in September 1999, a series of workshops was carried out to study the prospects for B physics at the Tevatron. There were four working groups covering CP Violation, Rare and Semileptonic Decays, Mixing and Lifetimes, as well as Pr…
View article: The Single-Phase ProtoDUNE Technical Design Report
The Single-Phase ProtoDUNE Technical Design Report Open
ProtoDUNE-SP is the single-phase DUNE Far Detector prototype that is under construction and will be operated at the CERN Neutrino Platform (NP) starting in 2018. ProtoDUNE-SP, a crucial part of the DUNE effort towards the construction of t…