Results 81 to 90 of about 970,162 (282)

Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment

Aging and Cancer, EarlyView.
Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey, Murilo Ramos Rocha, Cheyenne Palm, Vania Wang, Denys Balandin, Ethan Black, Kevin Y. Zhang, Fan Huang, Daniel J. Zabransky, Yash Chhabra, Mareike Peters, Gabriel Ghiaur, Ashani Weeraratna   +12 more
wiley   +1 more source

Finding a point in the relative interior of a polyhedron [PDF]

, 2007
A new initialization or `Phase I' strategy for feasible interior point methods for linear programming is proposed that computes a point on the primal-dual central path associated with the linear program. Provided there exist primal-dual strictly feasible
Cartis, Coralia, Gould, Nicholas I. M.
core   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

A Comparative Study of Applying Active-Set and Interior Point Methods in MPC for Controlling Nonlinear pH Process

Jurnal Rekayasa Kimia & Lingkungan, 2014
A comparative study of Model Predictive Control (MPC) using active-set method and interior point methods is proposed as a control technique for highly non-linear pH process. The process is a strong acid-strong base system.
Syam Syafiie, Chia Yaw Kwan
doaj   +1 more source

A Relaxed Interior Point Method for Low-Rank Semidefinite Programming Problems with Applications to Matrix Completion. [PDF]

J Sci Comput, 2021
Bellavia S, Gondzio J, Porcelli M.
europepmc   +1 more source

Experimental investigation of an interior search method within a simple framework [PDF]

, 1986
A steepest gradient method for solving Linear Programming (LP) problems, followed by a procedure for purifying a non-basic solution to an improved extreme point solution have been embedded within an otherwise simplex based optimiser.
Mitra, G, Tamiz, M, Yadeger, J
core  

Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick, Nomin Enkhtsetseg, Joseph Sadok, Matheus Mochetti, Annabel Sorby Adams, Jennifer Guo, Cristina Trapaga Hacker, Isabella Gomez Hjerthen, Seungwon Lee, Siddharth Satish, Andrew S. Ham, Justin Hill, Denis Balaban, Kevin Kyle, Rebecca L. Gillani, Marcelo Matiello, Aleksandar Videnovic, Eric C. Klawiter, W. Taylor Kimberly, Farrah J. Mateen   +19 more
wiley   +1 more source

A new algorithm for solving linear programming problems

Ingeniería e Investigación, 2012
Linear programming (LP) is one of the most widely-applied techniques in operations research. Many methods have been developed and several others are being proposed for solving LP problems, including the famous simplex method and interior point algorithms.
Andrés Leonardo Ramírez Leal, Oscar Yecid Buitrago Suescún, Rodrigo Alberto Britto Agudelo   +2 more
doaj  

Efficiency and Convergence Insights in Large-Scale Optimization Using the Improved Inexact–Newton–Smart Algorithm and Interior-Point Framework

Mathematics
We present a head-to-head evaluation of the Improved Inexact–Newton–Smart (INS) algorithm against a primal–dual interior-point framework for large-scale nonlinear optimization.
Neda Bagheri Renani, Maryam Jaefarzadeh, Daniel Ševčovič   +2 more
doaj   +1 more source

Constraint Consensus Methods for Finding Interior Feasible Points in Second-Order Cones

Journal of Applied Mathematics, 2010
Optimization problems with second-order cone constraints (SOCs) can be solved efficiently by interior point methods. In order for some of these methods to get started or to converge faster, it is important to have an initial feasible point or near ...
Anna Weigandt, Kaitlyn Tuthill, Shafiu Jibrin   +2 more
doaj   +1 more source