Results 181 to 190 of about 609,661 (311)

Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search Algorithm. [PDF]

Entropy (Basel)
Lahmiri S, Tadj C, Gargour C.
europepmc   +1 more source

Stochastically Generated Digital Twins of 3D Solid‐State Electrolyte Architecture

Advanced Functional Materials, EarlyView.
A stochastic model and validation suite were developed to produce the highest fidelity computer‐generated (Digital Twin) microstructures of random porous tape‐cast solid‐state battery architectures across µm to mm feature sizes from FIB‐SEM to X‐Ray µCT, respectively.
Jonathan O'Neill, Tanner Hamann, Huanyu Zhang, Faruk Okur, Annapaola Parrilli, Antonia Neels, Keith Duncan, Kostiantyn V. Kravchyk, Maksym V. Kovalenko, Eric D. Wachsman   +9 more
wiley   +1 more source

PyViscount: Validating False Discovery Rate Estimation Methods via Random Search Space Partition. [PDF]

J Proteome Res
Madej D, Lam H.
europepmc   +1 more source

Chamber‐Specific Decellularized Extracellular Matrices Differentially Modulate Cardiomyocyte Subtypes to Drive Engineered Heart Tissue Development and Function

Advanced Healthcare Materials, EarlyView.
Chamber‐specific decellularized extracellular matrices (ECMs) were developed, preserving native proteomic profiles of ventricular and atrial myocardium. These innate biochemical cues differentially modulate cardiomyocyte subtypes to drive engineered heart tissue development and function, highlighting the importance of incorporating regional ECM cues in
Dong Gyu Hwang, Myungji Kim, Hwanyong Choi, Jinseon Park, Minji Kim, Donghwan Kim, Bo Ram Lee, Jinah Jang   +7 more
wiley   +1 more source

Application of a hybrid algorithm of LSTM and Transformer based on random search optimization for improving rainfall-runoff simulation. [PDF]

Sci Rep
Li W, Liu C, Hu C, Niu C, Li R, Li M, Xu Y, Tian L.   +7 more
europepmc   +1 more source

Temporal Immune and Metabolic Shifts Drive the Anti‐Tumor Efficacy of Resiquimod‐Loaded Nanoparticles in Peritoneal Carcinomatosis

Advanced Healthcare Materials, EarlyView.
Peritoneal carcinomatosis is a hard‐to‐treat spread of abdominal cancers that often returns after therapy. Nanoparticles were developed to retain an immune‐boosting drug in the abdomen. When combined with chemotherapy in mice, this approach eliminated tumors in many cases and prevented recurrence, helping the immune system mount a stronger, longer ...
Vanessa Chan, Po‐Han Chao, XuXin Sun, Jun Han, Sarah MacPherson, Lucas J. Andrew, Noah Y. Brittain, Tien Do, Marcel B. Bally, Julian J. Lum, Shyh‐Dar Li   +10 more
wiley   +1 more source

A Theory of Continuum Economies with Idiosyncratic Shocks and Random Matchings [PDF]

Many economic models use a continuum of negligible agents to avoid considering one person's effect on aggregate characteristics of the economy. Along with a continuum of agents, these models often incorporate a sequence of independent shocks and random ...
Karavaev, Andrei
core   +1 more source

Engineering Nanoplatforms for Alzheimer's Disease Detection via Biomolecular Corona Proteomic and Lipidomic Profiling

Advanced Healthcare Materials, EarlyView.
Engineered nanoparticles capture disease‐specific biomolecular coronas that uncover hidden molecular features of Alzheimer's disease. Combined proteomic and lipidomic analyses reveal a characteristic shift in ribosomal machinery and energy metabolism, generating a multiomic fingerprint that supports accurate disease detection and opens new ...
Antonietta Greco, Roberto Baretta, Andrea Di Fonzo, Andrea Armirotti, Stefano Cinti, Mara Mirasoli, Marco Frasconi, Claudia Corbo   +7 more
wiley   +1 more source

Search Committees [PDF]

A committee decides by unanimity whether to accept the current alternative, or to continue costly search. Alternatives are described by several distinct attributes.
Benny Moldovanu, Xianwen Shi
core  

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source