Results 121 to 130 of about 78,867 (298)
Gas evolution behaviors of sodium layered oxide cathodes with varying compositions, cutoff voltages, dopants, and particle sizes/morphologies have been systematically investigated by online electrochemical mass spectrometry. The fundamental outgassing mechanisms of sodium‐based cathodes compared to lithium‐based cathodes have been elucidated.
Chen Liu, Zehao Cui, Arumugam Manthiram
wiley +1 more source
Study of a manual method of liquid-based cervical cytology
We report a study of a manual liquid-based cytology (MLBC) method. Slides are prepared by using a polymer solution and allowing it to dry, forming a membrane. The aims of the study were to prepare cervical cytology smears using the manual method, observe
Kavatkar Anita, Nagwanshi C, Dabak S
doaj
Impact of different agitation methods on smear layer cleaning of mesial canals with accentuated curvature [PDF]
ObjectivesThis study evaluated the impact of different methods of irrigant agitation on smear layer removal in the apical third of curved mesial canals of 3 dimensionally (D) printed mandibular molars.Materials and MethodsSixty 3D-printed mandibular ...
Abel Teves Cordova +5 more
doaj +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
A preclinical mouse model mimicking the ovarian cancer‐induced estrogen deficiency‐depression axis
A preclinical mouse model of ovarian cancer–related depression was developed by combining intraperitoneal tumor cell injection, ovariectomy, and chronic restraint stress. The model replicates key clinical features including estrogen deficiency, depressive‐like behaviors, and tumor progression, and provides a reliable tool for studying the endocrine ...
Jiamin Liu +6 more
wiley +1 more source
Clinicopathological Study of 117 Body Fluids: Comparison of Conventional Smear and Cell Block Technique. [PDF]
Kumar SH, S S, Shetty D, Rao R.
europepmc +1 more source
Flexibility of Various Nickel-Titanium Rotary Endodontic Files [PDF]
Introduction: Nickel-titanium rotary files were originally developed to allow for greater flexibility when instrumenting root canals. The increased flexibility of nickel-titanium instruments allowed operators to negotiate canal curvatures with greater ...
Selin, Chelsea
core +1 more source
Comparison of EUS-guided conventional smear and liquid-based cytology in pancreatic lesions: A systematic review and meta-analysis. [PDF]
Chandan S +15 more
europepmc +1 more source

