Results 331 to 340 of about 8,742,018 (356)

Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Bilateral globus pallidus pars interna deep brain stimulation (GPi‐DBS) is a recognized and effective treatment option for drug‐resistant dystonia patients. However, the clinical GPi‐DBS outcomes vary significantly. Herein, we explored the pre‐implant factors affecting GPi‐DBS effectiveness.
Mahboubeh Ahmadipour, Luigi M. Romito, Antonio E. Elia, Nico Golfré Andreasi, Roberto Eleopra, Alberto Mazzoni, Fabiana Colucci   +6 more
wiley   +1 more source

Boron-nitrogen fullerenes as electrocatalysts for nitrogen reduction: A computational study of affinity and reaction mechanism. [PDF]

iScience
Gazzari-Jara S, Cortés-Arriagada D, Chigo-Anota E, Miranda-Rojas S.   +3 more
europepmc   +1 more source

Longitudinal Relationship Between Pain and Depression in People With Inflammatory Arthritis: A Narrative Review

Arthritis Care &Research, EarlyView.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox, Saeed Farooq, Helen Twohig, Ian C. Scott   +3 more
wiley   +1 more source

Modeling reciprocal adaptation of <i>Staphylococcus aureus</i> and <i>Pseudomonas aeruginosa</i> co-isolates in artificial sputum medium. [PDF]

Biofilm
Wang Z, Giedraitis E, Knoop C, Breiner DJ, Phelan VV, Van Bambeke F.   +5 more
europepmc   +1 more source

Morphology-engineered alleviation of mycelial aggregation in <i>Streptomyces</i> chassis for potentiated production of secondary metabolites. [PDF]

Synth Syst Biotechnol
Liu S, Xiao F, Lv L, Wang M, Li W, Niu G.   +5 more
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Comprehensive Simulation-Based Evaluation of Gamma Radiation Shielding Performance of Bismuth Oxide- and Tungsten Oxide-Reinforced Polymer Composites for Nuclear Medicine Occupational Safety. [PDF]

Polymers (Basel)
Marshall SK, Kwandee P, Songphum N, Chuaymuang J.   +3 more
europepmc   +1 more source

Temperature-dependence of life history in an edible cricket: Implications for optimising mass-rearing. [PDF]

Curr Res Insect Sci
Kong JD, Vadboncoeur É, Bertram SM, MacMillan HA.   +3 more
europepmc   +1 more source

Higher precision constraints on the tau g - 2 in LHC photon-initiated production: a full account of hadron dissociation and soft survival effects. [PDF]

Eur Phys J C Part Fields
Harland-Lang LA.
europepmc   +1 more source

Strategic placement of alternative fueling stations in the UAE. [PDF]

Sci Rep
Alshehhi H, Corona BH, Zaiter I, Mezher T, Mayyas A.   +4 more
europepmc   +1 more source