Results 61 to 70 of about 730,650 (301)

Discussion on optimal control via direct search optimization [PDF]

, 2011
A brief presentation on the idea of using direct search optimization methods for optimization in systems and control, domain where this class of methods appears largely overlooked, for which these methods can be very adequate and ...
10th IMACS International Symposium on Iterative Methods in Scientific computing, Simon, Emile   +1 more
core  

Directed search methods for surface structure determination by LEED [PDF]

Surface Science, 1990
Conventional surface crystallography by low-energy electron diffraction employs a trial-and-error search controlled at each step by a human being. This trial-and-error approach becomes very cumbersome and unreliable when it is applied to complex surfaces with a large number of unknown structural parameters.
Rous, P.J., Hove, M.A. Van, Somorjai, Gabor A.   +2 more
openaire   +2 more sources

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger, Joseph Bauer, Jennifer Diamond, Maggie Fader, Shae Hansen, Jacqueline M. Kraveka, Johanna Schoen, Amber Shearer, Dena Sherwood   +8 more
wiley   +1 more source

Search for WIMPs at future μ + μ + colliders

Journal of High Energy Physics
Weakly interacting massive particles (WIMPs) with electroweak charges, such as the wino and the Higgsino, stand out as natural candidates for dark matter in the universe. In this paper, we study the search for WIMPs at future multi-TeV μ + μ + colliders.
Hajime Fukuda, Takeo Moroi, Atsuya Niki, Shang-Fu Wei   +3 more
doaj   +1 more source

Reinforcement learning in densely recurrent biological networks

iScience
Summary: Training highly recurrent networks is a technical challenge: gradient-based methods suffer from exploding or vanishing gradients, while purely evolutionary searches converge slowly.
Miles Walter Churchland, Jordi Garcia-Ojalvo   +1 more
doaj   +1 more source

An [Imperfect] Case for Dyadic Research in Pediatric Psychosocial Oncology

Pediatric Blood &Cancer, EarlyView.
Stephanie M. Nanos, Lindsay A. Jibb, Gary Rodin   +2 more
wiley   +1 more source

Inpatient Exposure, Confidence, and Knowledge in Pediatric Hematology/Oncology: Evaluating General Pediatric Residents During 2025 ACGME Curriculum Change

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley   +1 more source

On the Use of Direct Search Methods for Stochastic Optimization [PDF]

, 2000
We examine the conventional wisdom that commends the use of directe search methods in the presence of random noise. To do so, we introduce new formulations of stochastic optimization and direct search.
Trosset, Michael W.
core  

Orthogonal methods based ant colony search for solving continuous optimization problems [PDF]

, 2008
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation.
Jun Zhang, Yun Li 李 耘, Hu, X., Xiao-min Hu, Li, Y., Zhang, J.   +5 more
core   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider, Kris‐Ann Schultz, Nora Schnitzler, Michael Abele, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Ines B. Brecht, Maja Cesen, Andrea Ferrari, Michaela Kuhlen, Malgorzata A. Krawczyk, Ricardo Lopez‐Almaraz, Yves Reguerre, Calogero Virgone, Daniel Orbach   +15 more
wiley   +1 more source