Results 131 to 140 of about 1,573,388 (253)

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

open access: yesAdvanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi   +4 more
wiley   +1 more source

The Aging Substantia Nigra is Characterized by ROS Accumulation Potentially Resulting in Increased Neuroinflammation and Cytoskeletal Remodeling

open access: yesAdvanced Biology, EarlyView.
Definition of study groups, including young individuals (n = 7 mean age: 28.7 years), middle aged individuals (n = 14 mean age: 62.3 years) and elderly individuals (n = 14 mean age: 83.9 years). Condensed workflow including sample preparation (sample lysis and tryptic digestion), mass spectrometric measurements and subsequent data and statistical ...
Britta Eggers   +10 more
wiley   +1 more source

Differentiable MadNIS-Lite

open access: yesSciPost Physics
Differentiable programming opens exciting new avenues in particle physics, also affecting future event generators. These new techniques boost the performance of current and planned MadGraph implementations.
Theo Heimel, Olivier Mattelaer, Tilman Plehn, Ramon Winterhalder
doaj   +1 more source

Correlations and Event-by-Event Fluctuations in High Multiplicity Events Produced in $^{208}$Pb-$^{208}$Pb Collisions [PDF]

open access: yesarXiv, 2018
Analysis of high multiplicity events produced in 158A GeV/c $^{208}$Pb-$^{208}$Pb collisions is carried out to study the event-by-event fluctuations. The findings reveal that the method of scaled factorial moments can be used to identify the events having densely populated narrow phase space bins.
arxiv  

Physics Analysis Expert PAX: First Applications

open access: yes, 2003
PAX (Physics Analysis Expert) is a novel, C++ based toolkit designed to assist teams in particle physics data analysis issues. The core of PAX are event interpretation containers, holding relevant information about and possible interpretations of a ...
Erdmann, M.   +13 more
core  

Identified particle pT spectra and particle contents in pp collisions measured with ALICE at the LHC

open access: yes, 2012
The excellent capabilities of the ALICE experiment for particle identification allow to measure the identified hadron production in a wide range of transverse momentum. In this work we present some results on identified particle spectra, strange particle
Velasquez, Antonio Ortiz
core  

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

open access: yesAdvanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee   +3 more
wiley   +1 more source

Measurement of the average very forward energy as a function of the track multiplicity at central pseudorapidities in proton-proton collisions at $$\sqrt{s}=13\,\text {TeV} $$ s=13TeV

open access: yesEuropean Physical Journal C: Particles and Fields, 2019
The average total energy as well as its hadronic and electromagnetic components are measured with the CMS detector at pseudorapidities $$-6 ...
A. M. Sirunyan   +2323 more
doaj   +1 more source

International Particle Physics Masterclasses-Bringing LHC data into the Classroom

open access: yes, 2013
The International Particle Physics Outreach Group (IPPOG) has developed an educational activity that brings the excitement of cutting-edge particle physics research into the classroom.
F. Ould-Saada
semanticscholar   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

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